Prepare for and practice interview questions from Berkshire Hathaway Specialty Insurance.

Berkshire Hathaway Specialty Insurance Interview Questions

Berkshire Hathaway Specialty Insurance Interview Guides

Machine Learning

Booking Regression

Lasso vs Ridge

Bagging vs Boosting

Random Forest Explanation

choosing k value during k-means clustering

Choosing k

Statistics

P-value to a Layman

What are the assumptions of linear regression?

Assumptions of Linear Regression

Correlation in Regression

Describe linear regression to various audiences with different levels of knowledge.

Explaining Linear Regression to Different Audiences

Multicollinearity in Regression

Write a query to select the top 3 departments with at least ten employees and rank them according to the percentage of their employees making over 100K in salary.

Employee Salaries

Select the 2nd highest salary in the engineering department

2nd Highest Salary

Duplicate Rows

Write a query to create a pivot table that shows total sales for each branch by year

Branch Sales Pivot

Size of Joins

Data Structures & Algorithms

Given a list of strings, write a Python program to check whether each string has all the same characters or not.

Same Characters

Integer String Addition

Swap Variables

Write a function that returns the shape of an isosceles triangle.

Triangle as Binary Array

Probability

Different Card

Scalped Ticket

Poker Pair

What's the probability that the second card is not an ace?

Second Ace

When an interviewer asks a question along the lines of:

<ul>
<li>What would your current manager say about you? What constructive criticisms might he give?</li>
<li>What are your three biggest strengths and weaknesses you have identified in yourself?</li>
</ul>

How would you respond?

When asked about your strengths in an interview, what is an effective way to respond?

When asked about your strengths in an interview, what is an effective way to respond?

Your Strengths and Weaknesses I

Which of the following is an acceptable strategy when discussing weaknesses in an interview?

Which of the following is an acceptable strategy when discussing weaknesses in an interview?

Your Strengths and Weaknesses II

What do you tell an interviewer when they ask you what your strengths and weaknesses are?

Your Strengths and Weaknesses

Brainteasers

When an interviewer asks you a question along the lines of:

<ul>
<li>Why did you apply to our company?</li>
<li>What are you looking for in your next job?</li>
<li>What makes you a good fit for our company?</li>
</ul>

How should you respond?

When asked 'What are you looking for in your next job?' in an interview, how can you tie the company's employee benefits into your response?

When asked 'What are you looking for in your next job?' in an interview, how can you tie the company's employee benefits into your response?

Why Do You Want to Work With Us I

How can company values be used effectively in an interview when asked 'What makes you a good fit for our company?'

How can company values be used effectively in an interview when asked 'What makes you a good fit for our company?'

Why Do You Want to Work With Us II

When responding to the question 'Why did you apply to our company?' during an interview, what aspect should you highlight?

When responding to the question 'Why did you apply to our company?' during an interview, what aspect should you highlight?

Why Do You Want to Work With Us III

How would you answer when an Interviewer asks why you applied to their company?

Why Do You Want to Work With Us

Let’s say that you’re training a classification model.

How would you combat overfitting when building tree-based models?

Let's say that you're training a classification model.   How would you combat overfitting when building tree-based models?

Overfit Avoidance

Describe a data project you worked on. What were some of the challenges you faced?

Describing a data project and its challenges

Hurdles In Data Projects

Analytics

How would you explain what a p-value is to someone who is not technical?

What does a p-value in a statistical test represent?

What does a p-value in a statistical test represent?

P-value to a Layman I

In a statistical test, how does a low p-value (less than 0.05) influence our decision about the null hypothesis?

In a statistical test, how does a low p-value (less than 0.05) influence our decision about the null hypothesis?

P-value to a Layman II

What are the assumptions of linear regression?

Which assumption of the residuals of the standard linear regression model can not be overcome by increasing the sample size?

Regression assumptions

How would you handle the data preparation for building a machine learning model using imbalanced data?

Addressing imbalanced data in machine learning through carefully prepared techniques.

Data Preparation for Imbalanced Data

Let’s say we’re comparing two machine learning algorithms. In which case would you use a bagging algorithm versus a boosting algorithm? 

Give an example of the tradeoffs between the two.

In machine learning, when would you use a bagging algorithm over a boosting algorithm?

In machine learning, when would you use a bagging algorithm over a boosting algorithm?

Bagging vs. Boosting

Talk about a time when you had trouble communicating with stakeholders. How were you able to overcome it?

Strategically resolving misaligned expectations with stakeholders for a successful project outcome

Stakeholder Communication

Write a SQL query to select the 2nd highest salary in the engineering department.

Note: If more than one person shares the highest salary, the query should select the next highest salary.

Example:

Input:

<code>employees</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>first_name</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>last_name</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>salary</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>department_id</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>
<code>departments</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>name</code></td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>
Output:

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>salary</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>

Explain the difference between the XGBoost and random forest algorithms and give an example where you would use one over the other.

Why might a data scientist choose to use XGBoost instead of Random Forest for a particular machine learning task?

Why might a data scientist choose to use XGBoost instead of Random Forest for a particular machine learning task?

XGBoost vs Random Forest: Choice

Xgboost vs Random Forest

How does random forest generate the forest? Additionally, why would we use it over other algorithms such as logistic regression?

What happens when you average the output on multiple decision trees?

What happens when you average the output on multiple decision trees?

Average Trees

What is the difference between Logistic and Linear Regression?

When would use one instead of the other in practice?

What is the difference between Logistic and Linear Regression?

Linear vs Logistic Regression

Tell me about a project in which you had to clean and organize a large dataset.

Describing a real-world data cleaning and organization project

Data Cleaning Experiences

Data Pipelines

What are the key differences between classification models and regression models?

What is the MOST important difference between regression and classification models?

What is the MOST important difference between regression and classification models?

Classification vs Regression

Classification and Regression

Let’s say you work at Allstate. Allstate is running <code>N</code> online ads right now. The table <code>ads</code> contains all those ads, ranked by popularity via the <code>id</code> column (e.g., the entry with <code>id = 1</code> is the most popular, etc.).

Create a subquery or common table expression named <code>top_ads</code> containing the top 3 ads (by popularity) and return the number of rows that would result from the following operations

<ol>
<li><code>ads INNER JOIN top_ads</code></li>
<li><code>ads LEFT JOIN top_ads</code></li>
<li><code>ads RIGHT JOIN top_ads</code></li>
<li><code>ads CROSS JOIN top_ads</code></li>
</ol>

Note: Please make the <code>join_type</code> column in your output have the values <code>inner_join</code>, <code>left_join</code>, etc. for each of their respective join types

Note: Please return only one query with each number in a different row

Example:

Input:

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>name</code></td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>
Output:

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>join_type</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>number_of_rows</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>

What’s the difference between Lasso and Ridge Regression?

Under what circumstances is it recommended to use Lasso regression over Ridge regression?

Under what circumstances is it recommended to use Lasso regression over Ridge regression?

Let’s say you are working on Google Docs. A product manager comes to you and asks how the product is doing. 

What are the top five metrics that you would start tracking to understand the health of Google Docs?

Docs Metrics

Product Sense & Metrics

What’s the relationship between PCA and K-means clustering?

What does the variable “k” in k-means clustering refer to?

What does the variable "k" in k-means clustering refer to?

Input of K-means

PCA and K-Means

How would you tackle multicollinearity in multiple linear regression?

In the context of hypothesis testing, what are type I errors (type one errors) and type II errors (type two errors)? What is the difference between the two?

Bonus: Describe the probability of making each type of error mathematically.

What is the difference between type I and type II errors?

Type I and II Errors

How do you detect and handle correlation between variables in linear regression? What will happen if you ignore the correlation in the regression model?

Describe a time when you had to define a long-term vision for a project or team and move it from concept to reality.

Interviews for leadership or senior technical roles look for more than just “finishing a project.” Your answer should specifically address:

<ol>
<li>The “Why”: What data or organizational gap necessitated this vision?</li>
<li>The Framework: How did you translate a high-level goal into a roadmap?</li>
<li>The Friction: How did you handle stakeholders or team members who were skeptical of the new direction?</li>
</ol>

Vision Setting and Execution Strategy

Business Case

Given a <code>employees</code> and <code>departments</code> table, select the top 3 departments with at least ten employees and rank them according to the percentage of their employees making over 100K in salary.

Example:

Input:

<code>employees</code> table

<table>
<thead>
<tr>
<th>Columns</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>first_name</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>last_name</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>salary</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>department_id</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>
<code>departments</code> table

<table>
<thead>
<tr>
<th>Columns</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>name</code></td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>
Output:

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>percentage_over_100k</code></td>
<td>FLOAT</td>
</tr>

<tr>
<td><code>department_name</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>number_of_employees</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>

Given a <code>users</code> table, write a query to return only its duplicate rows.

Example:

Input:

<code>users</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>name</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>created_at</code></td>
<td>DATETIME</td>
</tr>
</tbody>
</table>

How would you explain the concept of linear regression to three different audiences: a child, a first-year college student, and a seasoned mathematician? Ensure your explanations are tailored to the understanding level of each audience.

How would you choose the k value when using k-means clustering?

You are given a dictionary with two keys <code>a</code> and <code>b</code> that hold integers as their values.

Without declaring any other variable, swap the value of <code>a</code> with the value of <code>b</code> and vice versa.

Note: Return the dictionary after editing it.

Example:

Input:

<pre tabindex="0" class="chroma"><code>numbers = {
 &#39;a&#39;:3,
 &#39;b&#39;:4
}
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def swap_values(numbers) -&gt; {&#39;a&#39;:4,&#39;b&#39;:3}
</code></pre>

Let’s say you work for an e-commerce company. Vendors can send products to the company’s warehouse to be listed on the website. Users are able to order any in-stock products and submit returns for refunds if they’re not satisfied.

The front end of the website includes a vendor portal that provides sales data in daily, weekly, monthly, quarterly, and yearly intervals.

The company wants to expand worldwide. They put you in charge of designing its end-to-end architecture, so you need to know what significant factors you’ll need to consider. What clarifying questions would you ask?

What kind of end-to-end architecture would you design for this company (both for ETL and reporting)?

How would you design a data warehouse for a e-commerce company looking to expand internationally?

International e-Commerce Warehouse

What are time series models? Why do we need them when we have less complicated regression models?

What can happen if a traditional regression model is used on data that has autocorrelation?

What can happen if a traditional regression model is used on data that has autocorrelation?

Why Do We Need Time Series Models? I

Why can't standard regression models be used effectively for data points where current values are influenced by past values?

Why can't standard regression models be used effectively for data points where current values are influenced by past values?

Why Do We Need Time Series Models? II

Why Do We Need Time Series Models?

Forecasting & Time Series

Challenge

<h3>Job Description</h3><div>Job Description<div>Who are we? A strategic and trusted insurance partner, Berkshire Hathaway Specialty Insurance (BHSI), provides a broad range of commercial property, casualty and specialty insurance coverages and outstanding service to customers and brokers around the world. Part of Berkshire Hathaway’s insurance operations, we bring our solutions to market with our stellar brand name, top-rated balance sheet, and the expertise of our global team of professionals, who exude excellent capabilities and strong character. We are a values-based organization where respect, integrity, excellence, collaboration, and passion define who we are and how we do business. We value diversity of backgrounds, experience, and perspectives and strive to foster an inclusive environment that enables all our team members to bring their best selves to work. We are one team committed to building a culture where every teammate has the opportunity to contribute and be recognized. Want to be part of the team building the finest property, casualty and specialty lines insurance company in the world? Learn more about our unique culture and history. Job Opportunity: Berkshire Hathaway Specialty Insurance (BHSI) has an exciting opportunity for Data Scientist / Senior Data Scientist to join the Catastrophe Engineering and Analytics (CAT E&A) team. CAT E&A is an innovative and versatile technical team conducting catastrophe risk research and development and providing complex quantitative metrics that inform underwriting decisions across multiple lines of business. The successful candidate will be responsible for identifying and applying cutting-edge data science techniques to build a better view of the risk for multiple perils. You will work across functional areas and perils within the team, supporting the development of models for various natural catastrophes, natural hazards, building vulnerability, and man-made risks such as cyber, casualty, among others. In addition, you will conduct in-depth evaluation of vendor models, research and develop internal views of exposure and risks, consult on account-specific risk analyses, and develop internal tools to facilitate account underwriting decision-making and other related activities. Duties & Responsibilities: <div><ul><li>Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets.</li><li>Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk.</li><li>Work with domain experts across teams and perils to enhance our use of available data.</li><li>Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions.</li></ul></div> Qualifications, Skills and Experience: Educational Background<div><ul><li>Advanced degree (Master's or Ph.D.) in Statistics, Actuarial Science, Applied Mathematics, Data Science, Engineering, or other equivalent quantitative discipline.</li><li>Strong academic foundation in probability theory, statistical inference, stochastic processes, and Bayesian statistics.</li></ul></div> Technical & Analytical Skills<div><ul><li>Deep expertise in probability models commonly used in insurance (e.g., frequency–severity models, GLMs, loss distributions).</li><li>Strong applied statistics skills for:<ul><li>Risk modeling</li><li>Predictive analytics</li><li>Pricing & underwriting analytics</li><li>Catastrophe exposure analysis</li></ul></li><li>Proficiency in statistical and machine learning techniques, including:<ul><li>Regression (GLM, GAM, GAMMs)</li><li>Time-series forecasting</li><li>Gradient boosting, random forests, and other tree-based models, neural networks models </li><li>Clustering and segmentation</li><li>Bayesian methods</li></ul></li><li>Hands-on experience with key programming tools:<ul><li>Python (NumPy, pandas, scikit-learn; PyTorch/TensorFlow a plus)</li><li>R (actuarial/statistical packages)</li><li>SQL for data extraction and manipulation</li><li>Familiarity with Git and Docker is a plus</li></ul></li><li>Experience with big data and distributed computing (e.g., Spark, Databricks, AWS/GCP/Azure) is a plus.</li></ul></div> Preferred Domain Knowledge in Risk Modeling<div><ul><li>Strong understanding of property & casualty insurance, including:<ul><li>Exposure modeling</li><li>Loss distributions (e.g., Pareto, lognormal, gamma)</li><li>Catastrophe risk concepts and tail modeling</li><li>Portfolio risk aggregation, reinsurance structures, and risk metrics (AAL, PML, TVaR)</li></ul></li></ul></div> Data Skills<div><ul><li>Ability to work with large structured and unstructured datasets.</li><li>Expertise in data cleaning, transformation, and feature engineering.</li><li>Experience building automated data pipelines and scalable model workflows.</li></ul></div> Modeling & Communication<div><ul><li>Ability to translate complex statistical concepts into actionable business insights.</li><li>Experience communicating results clearly to actuaries, underwriters, executives, and non-technical stakeholders.</li><li>Strong documentation and model governance discipline.</li></ul></div> Professional Competencies<div><ul><li>Curious, analytical thinker with strong problem-solving ability.</li><li>Ability to work independently in ambiguous problem spaces.</li><li>Collaborative mindset — comfortable partnering with actuaries, underwriters, portfolio managers, and engineers.</li></ul></div> BHSI Offers: <ul><li>A competitive package and exciting growth opportunities for career-oriented teammates.</li><li>A dynamic, action oriented, and thoughtful environment centered on always doing the right thing for our customers, teammates, and our other stakeholders.</li><li>A purposely non-bureaucratic organization that embraces simplicity over complexity and emphasizes individual excellence in a team framework.</li><li>Benefits that support your life and well-being, which include:<ul><li>Comprehensive Health, Dental and Vision benefits</li><li>Disability Insurance (both short-term and long-term)</li><li>Life Insurance (for you and your family)</li><li>Accidental Death & Dismemberment Insurance (for you and your family)</li><li>Flexible Spending Accounts</li><li>Health Reimbursement Account</li><li>Employee Assistance Program</li><li>Retirement Savings 401(k) Plan with Company Match</li><li>Generous holiday and Paid Time Off</li><li>Tuition Reimbursement</li><li>Paid Parental Leave</li></ul></li></ul> The base salary range for this position in Atlanta, GA, Boston, MA, or San Ramon, CA is $100,000 to $160,000, along with annual bonus eligibility. Total compensation for a candidate is determined by their relevant skills, location, and experience. We value our teammates – both their capabilities and character – as demonstrated by our amazing culture. NOTE: Compensation will be commensurate with experience. This job description is not intended to be all-inclusive. Team Member may perform other related duties as negotiated to meet the ongoing needs of the organization.</div></div>

Job Summary: 
Berkshire Hathaway Specialty Insurance (BHSI) is a strategic and trusted insurance partner providing a broad range of commercial property, casualty and specialty insurance coverages. The Data Scientist / Senior Data Scientist will join the Catastrophe Engineering and Analytics team, focusing on applying advanced data science techniques to enhance risk understanding and support underwriting decisions. 
Responsibilities: 
• Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets. • Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk. • Work with domain experts across teams and perils to enhance our use of available data. • Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions. 
Qualifications: 
Required: 
• Advanced degree (Master's or Ph.D.) in Statistics, Actuarial Science, Applied Mathematics, Data Science, Engineering, or other equivalent quantitative discipline. • Strong academic foundation in probability theory, statistical inference, stochastic processes, and Bayesian statistics. • Deep expertise in probability models commonly used in insurance (e.g., frequency–severity models, GLMs, loss distributions). • Strong applied statistics skills for: Risk modeling, Predictive analytics, Pricing & underwriting analytics, Catastrophe exposure analysis. • Proficiency in statistical and machine learning techniques, including: Regression (GLM, GAM, GAMMs), Time-series forecasting, Gradient boosting, random forests, and other tree-based models, neural networks models, Clustering and segmentation, Bayesian methods. • Hands-on experience with key programming tools: Python (NumPy, pandas, scikit-learn; PyTorch/TensorFlow a plus), R (actuarial/statistical packages), SQL for data extraction and manipulation, Familiarity with Git and Docker is a plus. • Experience with big data and distributed computing (e.g., Spark, Databricks, AWS/GCP/Azure) is a plus. • Ability to work with large structured and unstructured datasets. • Expertise in data cleaning, transformation, and feature engineering. • Experience building automated data pipelines and scalable model workflows. • Ability to translate complex statistical concepts into actionable business insights. • Experience communicating results clearly to actuaries, underwriters, executives, and non-technical stakeholders. • Strong documentation and model governance discipline. • Curious, analytical thinker with strong problem-solving ability. • Ability to work independently in ambiguous problem spaces. • Collaborative mindset — comfortable partnering with actuaries, underwriters, portfolio managers, and engineers. 
Preferred: 
• Strong understanding of property & casualty insurance, including: Exposure modeling, Loss distributions (e.g., Pareto, lognormal, gamma), Catastrophe risk concepts and tail modeling, Portfolio risk aggregation, reinsurance structures, and risk metrics (AAL, PML, TVaR). 
Company: 
Berkshire Hathaway Specialty Insurance is a company providing risk solutions and claims care. Founded in 2013, the company is headquartered in Boston, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

<h3>Job Description</h3><div>Job Description<div>Who are we?A strategic and trusted insurance partner, Berkshire Hathaway Specialty Insurance (BHSI), provides a broad range of commercial property, casualty and specialty insurance coverages and outstanding service to customers and brokers around the world. Part of Berkshire Hathaway’s insurance operations, we bring our solutions to market with our stellar brand name, top-rated balance sheet, and the expertise of our global team of professionals, who exude excellent capabilities and strong character.We are a values-based organization where respect, integrity, excellence, collaboration, and passion define who we are and how we do business. We value diversity of backgrounds, experience, and perspectives and strive to foster an inclusive environment that enables all our team members to bring their best selves to work. We are one team committed to building a culture where every teammate has the opportunity to contribute and be recognized. Want to be part of the team building the finest property, casualty and specialty lines insurance company in the world?Learn more about our unique culture and history.Job Opportunity:Berkshire Hathaway Specialty Insurance (BHSI) has an exciting opportunity for a new team member to join their Boston-based IT Governance Risk Audit & Compliance (GRAC) team as an IT Senior Risk Analyst. In this newly created role, the IT Senior Risk Analyst will support and mature the IT Risk Management pillar, ensuring technology risks are proactively identified, assessed, communicated, and monitored across the enterprise. This role will build strong partnerships with Technology leadership and collaborate closely with teams across BHSI to evaluate our IT risk posture, provide independent challenge, and recommend practical risk‑reducing actions aligned with our established risk appetite. If you're passionate about elevating enterprise IT risk practices, driving meaningful change, and growing your career as a key contributor to our evolving global IT risk program, we’re interested in speaking with you.Duties & Responsibilities:<div><ul><li>Lead risk identification, risk assessment, and ongoing monitoring; maintain the IT risk register and ensure risks map to business objectives and risk appetite/tolerances.</li><li>Drive Risk and Control Self‑Assessments (RCAs) with different risk and control owners; advise on control design for identity & access, change/release, resiliency/DR, cloud security, data protection, and vulnerability management.</li><li>Define and socialize KRIs/KPIs, risk dashboards, trends, and heat maps; deliver clear status to Technology leadership, and key stakeholders.</li><li>Partner with Vendor Risk Management Team to evaluate critical vendors (including AI‑enabled services), review SOC reports/certifications, assess control gaps, and track remediation/compensating controls through closure.</li><li>Track risk issues, action plans, and target dates; validate remediation and retest where needed; participate in lessons‑learned and scenario exercises.</li><li>Provide support to our offices from both a U.S. and global perspective (i.e., Asia, Middle East, UK, Europe, Australasia, etc.) regarding the fulfillment of IT risk related requests and obligations.</li><li>Assess AI/automation use cases for explainability, privacy, security, and bias risk; ensure appropriate documentation, monitoring, and governance are in place.</li><li>Educate teams on risk expectations, evidence quality, and the “why” behind controls; help embed risk thinking into delivery and operations.</li><li>Attend/participate in e-learning training sessions to increase background knowledge of the ever-evolving IT regulatory landscape.</li></ul></div> Qualifications, Skills and Experience:<div><ul><li>6+ years of experience in IT risk, IT audit/compliance, or cyber GRC.</li><li>Experience running RCSAs, defining KRIs/KPIs, and presenting risk insights to senior stakeholders.</li><li>Strong documentation skills, including writing risk narratives, control designs, control matrices, testing procedures, and remediation plans.</li><li>Effective communication and partnership skills; able to challenge constructively and receive challenge professionally.</li><li>Experience conducting vendor risk reviews, including SOC 2 analysis, control gap identification, and remediation follow‑up.</li><li>Solid background knowledge of major risk and control frameworks (Technology, Cyber, Enterprise), such as NIST CSF, COSO ERM, COBIT, etc.</li><li>Working knowledge of U.S. IT regulations (e.g., SOX, CCPA/CPRA, PCI, NY‑DFS) is recommended.</li><li>Familiarity with global regulatory frameworks (e.g., GDPR, CBI, DORA, MAS, APRA, BaFin) is preferred but not required.</li></ul></div><div><ul><li>Ability to work in a team-based environment and communicate effectively and efficiently with others domestically and globally.</li><li>Experience with GRC tools such as Workiva, AuditBoard, ServiceNow, Drata, Vanta, or similar platforms is a plus.</li><li>AI experience is a plus, including an understanding of AI risks, responsible AI concepts, or emerging AI regulatory requirements.</li><li>Professional certifications such as CRISC, CISA, CISM, CISSP, or ISO/IEC 27001 Lead Implementer/Lead Auditor (or equivalent) are a plus.</li></ul></div>BHSI Offers:<ul><li>A competitive package and exciting growth opportunities for career-oriented teammates.</li><li>A dynamic, action oriented, and thoughtful environment centered on always doing the right thing for our customers, teammates and our other stakeholders.</li><li>A purposely non-bureaucratic organization that embraces simplicity over complexity and emphasizes individual excellence in a team framework.</li><li>Benefits that support your life and well-being, which include:<ul><li>Comprehensive Health, Dental and Vision benefits.</li><li>Disability Insurance (both short-term and long-term).</li><li>Life Insurance (for you and your family).</li><li>Accidental Death & Dismemberment Insurance (for you and your family).</li><li>Flexible Spending Accounts.</li><li>Health Reimbursement Account.</li><li>Employee Assistance Program.</li><li>Retirement Savings 401(k) Plan with Company Match.</li><li>Generous holiday and Paid Time Off.</li><li>Tuition Reimbursement.</li><li>Paid Parental Leave.</li></ul></li></ul> The base salary range for this position in Boston is $95,000.00 to $125,000.00, along with annual bonus eligibility. Total compensation for a candidate is determined by their relevant skills, location, and experience. We value our teammates – both their capabilities and character – as demonstrated by our amazing culture.NOTE: Compensation will be commensurate with experience. This job description is not intended to be all-inclusive. Team Member may perform other related duties as negotiated to meet the ongoing needs of the organization.</div></div>

<h3>Job Description</h3><div>Job Description<div><div><div><div><div><div><div>A strategic and trusted insurance partner, Berkshire Hathaway Specialty Insurance (BHSI), provides a broad range of commercial property, casualty and specialty insurance coverages and outstanding service to customers and brokers around the world. Part of Berkshire Hathaway’s insurance operations, we bring our solutions to market with our stellar brand name, top-rated balance sheet, and the expertise of our global team of professionals, who exude excellent capabilities and strong character. Berxi is the Small Commercial team within BHSI. We’re all about driving digital innovation in the Small Commercial Insurance space and are focused on leveraging technology to make insurance simple and affordable for professionals and small businesses. If you constantly strive for excellence and want to work with a collaborative, fast paced and energetic team – then Berxi is for you.We are a values-based organization where respect, integrity, excellence, collaboration, and passion define who we are and how we do business. We value diversity of backgrounds, experience, and perspectives and strive to foster an inclusive environment that enables all our team members to bring their best selves to work. We are one team committed to building a culture where every teammate has the opportunity to contribute and be recognized. Want to be part of the team building the finest property, casualty and specialty lines insurance company in the world?Learn more about our unique culture and history. Job Opportunity: Berkshire Hathaway Specialty Insurance (BHSI) is seeking an experienced Engineering Manager to join its Berxi team in Boston. In this pivotal leadership role, you will shape the strategic evolution of Berxi’s direct-to-customer Digital Platform by guiding multiple engineering teams and Principal Engineers in the design and delivery of scalable, cloud-native solutions that support the needs of a fast-growing insurance business. Rather than being hands-on in coding, you will focus on engineering execution, technical leadership, and organizational enablement—setting vision, aligning priorities, and ensuring teams have the resources and clarity to succeed. Partnering closely with Product, Architecture, Program Management, and Customer Experience, you will drive collaboration across disciplines to deliver secure, reliable, and intuitive customer experiences. The ideal candidate thrives in a fast-paced, Agile environment, demonstrates strong leadership and strategic thinking, and values empowering technical leaders, fostering innovation, and building high-performing teams that deliver meaningful business outcomes. Duties and Responsibilities:<ul><li>Provide thought leadership and technical guidance, enabling teams to deliver scalable, cloud-native solutions aligned with SPRINT and business goals.</li><li>Serves as the direct manager of five engineers, including Principal and Senior Engineers. Accountable for their capacity planning, career development, growth strategy, performance management, and ongoing coaching.</li><li>Lead, coach, and mentor multiple engineering teams, fostering a culture of excellence, collaboration, and continuous learning </li><li>Empower Tech Leads by minimizing administrative overhead and supporting cross-team dependencies and external partnerships.</li><li>Partner with Product, Program, and Business stakeholders to translate requirements into actionable engineering plans.</li><li>Champion Agile best practices, driving accountability, removing blockers, and promoting a high-performance environment.</li><li>Support career development and growth for engineers through regular feedback, coaching, and development opportunities.</li><li>Ensure teams adhere to enterprise architecture principles, cybersecurity protocols, and regulatory requirements.</li><li>Oversee the software development lifecycle, emphasizing test-driven development, secure coding, and maintainability.</li><li>Promote adoption of modern frameworks, tools, and practices that enhance development velocity and operational resilience.</li><li>Communicate technical strategies and architectural decisions to leadership and stakeholders.</li><li>Proactively identify and resolve team and system bottlenecks, driving continuous improvement initiatives.</li><li>Develop and maintain documentation for team processes, workflows, and operational procedures.</li><li>Foster an inclusive, empowered engineering environment where every teammate can contribute and be recognized.</li><li>Work closely with Berxi’s Head of Architecture in system design, solutioning, observability, monitoring, and Developer Experience (DevEx) initiatives, leveraging platform and enablement team opportunities.</li><li>Stand up and support a 24x7 production support team dedicated to observability and monitoring, ensuring robust support for customer-facing applications.</li><li>Ensure production support processes are tightly integrated with engineering and platform teams for rapid issue resolution and continuous improvement.</li><li>Focus on engineering execution and technical leadership, while Program Management drives risk mitigation, project scope, time, and cost management.</li><li>Partner with Scrum Masters (who report to Program Managers) to support Sprint ceremonies, retrospectives, velocity tracking, and Sprint updates, ensuring engineering teams are set up for success.</li></ul> Qualifications, Skills, and Experience:<ul><li>12+ years of progressive experience in software engineering, with at least 3 years in a leadership or management role.</li><li>Proven track record of managing multiple engineering teams and delivering enterprise-grade, cloud-native solutions.</li><li>Experience mentoring, coaching, and developing engineers and Tech Leads.</li><li>Strong understanding of Agile methodologies, Sprint planning, and team dynamics.</li><li>Technical proficiency in modern programming languages (e.g., Golang, Java, C#) and front-end frameworks (React, Vue.js) is a plus.</li><li>Deep knowledge of cloud platforms (AWS preferred), microservices architecture, and event-driven systems.</li><li>Familiarity with CI/CD practices, DevOps, and observability tooling.</li><li>Excellent communication, collaboration, and stakeholder management skills.</li><li>Ability to align technical solutions with strategic business objectives.</li><li>Experience in the Property & Casualty Insurance domain is a plus, but not required.</li><li>Self-motivated, adaptable, and team-focused, with a strong sense of ownership and commitment to high-quality outcomes.</li><li>Demonstrated experience or exposure to platform engineering, security and compliance frameworks, and incident management practices within enterprise environments.</li></ul>BHSI Offers:<ul><li>A competitive package and exciting growth opportunities for career-oriented teammates.</li><li>A dynamic, action oriented, and thoughtful environment centered on always doing the right thing for our customers, teammates, and our other stakeholders.</li><li>A purposely non-bureaucratic organization that embraces simplicity over complexity and emphasizes individual excellence in a team framework.</li><li>Benefits that support your life and well-being, which include:<ul><li>Comprehensive Health, Dental and Vision benefits</li><li>Disability Insurance (both short-term and long-term)</li><li>Life Insurance (for you and your family)</li><li>Accidental Death & Dismemberment Insurance (for you and your family)</li><li>Flexible Spending Accounts</li><li>Health Reimbursement Account</li><li>Employee Assistance Program</li><li>Retirement Savings 401(k) Plan with Company Match</li><li>Generous holiday and Paid Time Off</li><li>Tuition Reimbursement</li><li>Paid Parental Leave</li></ul></li></ul>The base salary range for this position in Boston is $170,000 to $200,000, along with annual bonus eligibility. Total compensation for a candidate is determined by their relevant skills, location, and experience. We value our teammates – both their capabilities and character – as demonstrated by our amazing culture.NOTE: Compensation will be commensurate with experience. This job description is not intended to be all-inclusive. Team Member may perform other related duties as negotiated to meet the ongoing needs of the organization.</div></div></div></div></div></div></div></div>

<div><h2>Berkshire Hathaway Specialty Insurance Engineering Manager Opportunity</h2>Berkshire Hathaway Specialty Insurance (BHSI) is seeking an experienced Engineering Manager to join its Berxi team in Boston. In this pivotal leadership role, you will shape the strategic evolution of Berxi's direct-to-customer Digital Platform by guiding multiple engineering teams and Principal Engineers in the design and delivery of scalable, cloud-native solutions that support the needs of a fast-growing insurance business. Rather than being hands-on in coding, you will focus on engineering execution, technical leadership, and organizational enablementsetting vision, aligning priorities, and ensuring teams have the resources and clarity to succeed. Partnering closely with Product, Architecture, Program Management, and Customer Experience, you will drive collaboration across disciplines to deliver secure, reliable, and intuitive customer experiences. The ideal candidate thrives in a fast-paced, Agile environment, demonstrates strong leadership and strategic thinking, and values empowering technical leaders, fostering innovation, and building high-performing teams that deliver meaningful business outcomes.Duties and Responsibilities:<ul><li>Provide thought leadership and technical guidance, enabling teams to deliver scalable, cloud-native solutions aligned with SPRINT and business goals.</li><li>Serves as the direct manager of five engineers, including Principal and Senior Engineers. Accountable for their capacity planning, career development, growth strategy, performance management, and ongoing coaching.</li><li>Lead, coach, and mentor multiple engineering teams, fostering a culture of excellence, collaboration, and continuous learning</li><li>Empower Tech Leads by minimizing administrative overhead and supporting cross-team dependencies and external partnerships.</li><li>Partner with Product, Program, and Business stakeholders to translate requirements into actionable engineering plans.</li><li>Champion Agile best practices, driving accountability, removing blockers, and promoting a high-performance environment.</li><li>Support career development and growth for engineers through regular feedback, coaching, and development opportunities.</li><li>Ensure teams adhere to enterprise architecture principles, cybersecurity protocols, and regulatory requirements.</li><li>Oversee the software development lifecycle, emphasizing test-driven development, secure coding, and maintainability.</li><li>Promote adoption of modern frameworks, tools, and practices that enhance development velocity and operational resilience.</li><li>Communicate technical strategies and architectural decisions to leadership and stakeholders.</li><li>Proactively identify and resolve team and system bottlenecks, driving continuous improvement initiatives.</li><li>Develop and maintain documentation for team processes, workflows, and operational procedures.</li><li>Foster an inclusive, empowered engineering environment where every teammate can contribute and be recognized.</li><li>Work closely with Berxi's Head of Architecture in system design, solutioning, observability, monitoring, and Developer Experience (DevEx) initiatives, leveraging platform and enablement team opportunities.</li><li>Stand up and support a 24x7 production support team dedicated to observability and monitoring, ensuring robust support for customer-facing applications.</li><li>Ensure production support processes are tightly integrated with engineering and platform teams for rapid issue resolution and continuous improvement.</li><li>Focus on engineering execution and technical leadership, while Program Management drives risk mitigation, project scope, time, and cost management.</li><li>Partner with Scrum Masters (who report to Program Managers) to support Sprint ceremonies, retrospectives, velocity tracking, and Sprint updates, ensuring engineering teams are set up for success.</li></ul>Qualifications, Skills, and Experience:<ul><li>12+ years of progressive experience in software engineering, with at least 3 years in a leadership or management role.</li><li>Proven track record of managing multiple engineering teams and delivering enterprise-grade, cloud-native solutions.</li><li>Experience mentoring, coaching, and developing engineers and Tech Leads.</li><li>Strong understanding of Agile methodologies, Sprint planning, and team dynamics.</li><li>Technical proficiency in modern programming languages (e.g., Golang, Java, C#) and front-end frameworks (React, Vue.js) is a plus.</li><li>Deep knowledge of cloud platforms (AWS preferred), microservices architecture, and event-driven systems.</li><li>Familiarity with CI/CD practices, DevOps, and observability tooling.</li><li>Excellent communication, collaboration, and stakeholder management skills.</li><li>Ability to align technical solutions with strategic business objectives.</li><li>Experience in the Property & Casualty Insurance domain is a plus, but not required.</li><li>Self-motivated, adaptable, and team-focused, with a strong sense of ownership and commitment to high-quality outcomes.</li><li>Demonstrated experience or exposure to platform engineering, security and compliance frameworks, and incident management practices within enterprise environments.</li></ul>BHSI Offers:<ul><li>A competitive package and exciting growth opportunities for career-oriented teammates.</li><li>A dynamic, action oriented, and thoughtful environment centered on always doing the right thing for our customers, teammates, and our other stakeholders.</li><li>A purposely non-bureaucratic organization that embraces simplicity over complexity and emphasizes individual excellence in a team framework.</li><li>Benefits that support your life and well-being, which include:</li><ul><li>Comprehensive Health, Dental and Vision benefits</li><li>Disability Insurance (both short-term and long-term)</li><li>Life Insurance (for you and your family)</li><li>Accidental Death & Dismemberment Insurance (for you and your family)</li><li>Flexible Spending Accounts</li><li>Health Reimbursement Account</li><li>Employee Assistance Program</li><li>Retirement Savings 401(k) Plan with Company Match</li><li>Generous holiday and Paid Time Off</li><li>Tuition Reimbursement</li><li>Paid Parental Leave</li></ul></ul>The base salary range for this position in Boston is $170,000 to $200,000, along with annual bonus eligibility. Total compensation for a candidate is determined by their relevant skills, location, and experience. We value our teammates both their capabilities and character as demonstrated by our amazing culture.NOTE: Compensation will be commensurate with experience. This job description is not intended to be all-inclusive. Team Member may perform other related duties as negotiated to meet the ongoing needs of the organization.</div>

<h3>Job Description</h3><div>Job Description<div><div>Who are we? A strategic and trusted insurance partner, Berkshire Hathaway Specialty Insurance (BHSI), provides a broad range of commercial property, casualty and specialty insurance coverages and outstanding service to customers and brokers around the world. Part of Berkshire Hathaway’s insurance operations, we bring our solutions to market with our stellar brand name, top-rated balance sheet, and the expertise of our global team of professionals, who exude excellent capabilities and strong character.We are a values-based organization where respect, integrity, excellence, collaboration, and passion define who we are and how we do business. We value diversity of backgrounds, experience, and perspectives and strive to foster an inclusive environment that enables all our team members to bring their best selves to work. We are one team committed to building a culture where every teammate has the opportunity to contribute and be recognized. Want to be part of the team building the finest property, casualty and specialty lines insurance company in the world?Learn more about our unique culture and history. Job Opportunity: Catastrophe Engineering and Analytics (CAT E&A) is an innovative and versatile technical team conducting catastrophe risk research and development and providing complex quantitative metrics that inform underwriting decisions. The Software Engineer within the CAT E&A team will play a crucial role in designing and developing end-to-end systems to deploy and run models. This role involves deep cross functional collaboration with business, product, and data science teams, while driving successful project outcomes. Not only will you focus on backend development, but another dimension to the role also demands some expertise with building data pipelines, data manipulation, and so forth. Duties & Responsibilities:<ul><li>Collaborate closely with application engineers, data scientists, and stakeholders in building and maintaining existing software to support existing platforms.</li><li>Work with the team to help develop our technical platform to be more user-friendly and seamless, with an emphasis on bringing the various individual models together in a more uniform framework.</li><li>Understand and assist with the development of AI and machine learning related projects that are underway.</li><li>Contribute to the development, maintenance, and evolution of our platform.</li><li>Help drive technology and architecture decisions along with mentoring teammates. </li><li>Contribute to the design and architecture of scalable, reliable systems.</li><li>Write maintainable and well-tested code along with designing the system. </li><li>Build robust data pipelines, perform data analysis, and deploy models.</li></ul> Qualifications, Skills and Experience:<ul><li>Bachelor’s or Master’s degree in Computer Science, Engineering, or related field is preferred.</li><li>Minimum three years of relevant experience in software engineering, data engineering, or ML engineering.</li><li>Strong problem-solving skills and ability to work independently.</li><li>Excellent communication and collaboration skills.</li><li>Proficiency in Python (Pandas, NumPy, or SciPy) or R is required. </li><li>Previous experience in building Batch or Streaming Data and ML pipelines is preferred.</li><li>Proficiency in building and working with APIs is preferred. </li><li>Exposure to GIS libraries, PostGIS, GDAL is preferred. </li><li>Experience with both streaming and batch processing of data is preferred.</li><li>Knowledge of Docker and Kubernetes is preferred. </li></ul>BHSI Offers: • A competitive package and exciting growth opportunities for career-oriented teammates • A dynamic, action oriented, and thoughtful environment centered on always doing the right thing for our customers, teammates and our other stakeholders • A purposely non-bureaucratic organization that embraces simplicity over complexity and emphasizes individual excellence in a team frameworkBenefits that support your life and well-being, which include:<ul><li>Comprehensive Health, Dental and Vision benefits</li><li>Disability Insurance (both short-term and long-term)</li><li>Life Insurance (for you and your family)</li><li>Accidental Death & Dismemberment Insurance (for you and your family)</li><li>Flexible Spending Accounts</li><li>Health Reimbursement Account</li><li>Employee Assistance Program</li><li>Retirement Savings 401(k) Plan with Company Match</li><li>Generous holiday and Paid Time Off</li><li>Tuition Reimbursement</li><li>Paid Parental Leave</li></ul>NOTE: Compensation will be commensurate with experience. This job description is not intended to be all-inclusive. Team Member may perform other related duties as negotiated to meet the ongoing needs of the organization.The base salary range for this position in California is from $115,000 – $155,000 along with annual bonus eligibility; a candidate’s salary is determined by their relevant skills and experience. We value our teammates – both their capabilities and character – as demonstrated by our amazing culture.</div></div></div>

<h3>Job Description</h3><div>Job Description<div><div>Who are we? A strategic and trusted insurance partner, Berkshire Hathaway Specialty Insurance (BHSI), provides a broad range of commercial property, casualty and specialty insurance coverages and outstanding service to customers and brokers around the world. Part of Berkshire Hathaway’s insurance operations, we bring our solutions to market with our stellar brand name, top-rated balance sheet, and the expertise of our global team of professionals, who exude excellent capabilities and strong character. We are a values-based organization where respect, integrity, excellence, collaboration, and passion define who we are and how we do business. We value diversity of backgrounds, experience, and perspectives and strive to foster an inclusive environment that enables all our team members to bring their best selves to work. We are one team committed to building a culture where every teammate has the opportunity to contribute and be recognized. Want to be part of the team building the finest property, casualty and specialty lines insurance company in the world?Learn more about our unique culture and history. Job Opportunity: Berkshire Hathaway Specialty Insurance (BHSI) has an exciting opportunity for Data Scientist / Senior Data Scientist to join the Catastrophe Engineering and Analytics (CAT E&A) team. CAT E&A is an innovative and versatile technical team conducting catastrophe risk research and development and providing complex quantitative metrics that inform underwriting decisions across multiple lines of business. The successful candidate will be responsible for identifying and applying cutting-edge data science techniques to build a better view of the risk for multiple perils. You will work across functional areas and perils within the team, supporting the development of models for various natural catastrophes, natural hazards, building vulnerability, and man-made risks such as cyber, casualty, among others. In addition, you will conduct in-depth evaluation of vendor models, research and develop internal views of exposure and risks, consult on account-specific risk analyses, and develop internal tools to facilitate account underwriting decision-making and other related activities.Duties & Responsibilities:<div><ul><li>Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets.</li><li>Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk.</li><li>Work with domain experts across teams and perils to enhance our use of available data.</li><li>Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions.</li></ul></div>Qualifications, Skills and Experience:<div><ul><li>Ph.D. or M.S. in data science, civil engineering, atmospheric science, actuarial science, computer science, mathematics, or a related field</li><li>3-6 years of industry experience is preferred and required for the Senior Data Scientist level role</li><li>Advanced knowledge of probability theory, statistics, and machine learning methods is required</li><li>Practical experience in insurance, catastrophe model development, cyber and casualty risk modeling, and/or exposure data collection is preferred</li><li>Experience applying advanced statistical techniques and machine learning to large data sets, especially in areas of structural performance, natural catastrophe hazard, building exposure data, geospatial data, or insurance claims data</li><li>Familiarity with large language models (LLMs), retrieval-augmented generation (RAG), and their application in data-driven workflows is a plus</li><li>Strong written and verbal communication skills</li><li>Strong programming skills in Python (preferred), R, and SQL</li><li>Experience and understanding of relational and non-relational databases preferred</li><li>Comfort working within git-based version-control environments</li><li>Experience with Databricks or other cloud-based data and analytics platforms preferred</li><li>Highly motivated, detail oriented, and team player</li></ul></div>BHSI Offers:<ul><li>A competitive package and exciting growth opportunities for career-oriented teammates.</li><li>A dynamic, action oriented, and thoughtful environment centered on always doing the right thing for our customers, teammates, and our other stakeholders.</li><li>A purposely non-bureaucratic organization that embraces simplicity over complexity and emphasizes individual excellence in a team framework.</li><li>Benefits that support your life and well-being, which include:<ul><li>Comprehensive Health, Dental and Vision benefits</li><li>Disability Insurance (both short-term and long-term)</li><li>Life Insurance (for you and your family)</li><li>Accidental Death & Dismemberment Insurance (for you and your family)</li><li>Flexible Spending Accounts</li><li>Health Reimbursement Account</li><li>Employee Assistance Program</li><li>Retirement Savings 401(k) Plan with Company Match</li><li>Generous holiday and Paid Time Off</li><li>Tuition Reimbursement</li><li>Paid Parental Leave</li></ul></li></ul>The base salary range for this position in Atlanta, GA, Boston, MA, or San Ramon, CA is $100,000 to $160,000, along with annual bonus eligibility. Total compensation for a candidate is determined by their relevant skills, location, and experience. We value our teammates – both their capabilities and character – as demonstrated by our amazing culture.NOTE: Compensation will be commensurate with experience. This job description is not intended to be all-inclusive. Team Member may perform other related duties as negotiated to meet the ongoing needs of the organization.</div></div></div>

Calculate Moving Average	SQL	Easy
Predict Customer Churn	Machine Learning	Medium
A/B Test Significance	Statistics	Medium
Optimize Query Performance	SQL	Hard
Feature Importance Analysis	Machine Learning	Medium
Clean Missing Data	Python	Easy
Neural Network Architecture	Deep Learning	Hard
Calculate Cohort Retention	SQL	Medium
Bayesian Probability	Statistics	Easy
Recommend Similar Products	Machine Learning	Hard

Berkshire Hathaway Specialty Insurance Interview Questions

Berkshire Hathaway Specialty Insurance Interview Guides

Berkshire Hathaway Specialty Insurance Interview Questions

Challenge

Berkshire Hathaway Specialty Insurance Opening Jobs

Discussion & Interview Experiences

Discussion & Interview Experiences