The Myntra Data Scientist interview guide, interview questions, salary data, and interview experiences.

Myntra Data Scientist Interview Guide

Getting ready for an Data Scientist interview at Myntra? The Myntra Data Scientist interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Myntra Data Scientist roles.</li>
<li>Gain insights into the Data Scientist interview process at Myntra.</li>
<li>Practice real Myntra Data Scientist interview questions.</li>
</ul>
Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Myntra Data Scientist interview.


Getting ready for an Data Scientist interview at Myntra? The Myntra Data Scientist interview span across 10 to 12 different question topics. In preparing for the interview:

- Know what skills are necessary for Myntra Data Scientist roles.
- Gain insights into the Data Scientist interview process at Myntra.
- Practice real Myntra Data Scientist interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Myntra Data Scientist interview.
        

Overview

We've gathered this data from parsing thousands of interview experiences sourced from members.

We've gathered this data from parsing thousands of interview experiences sourced from members.

A/B Testing

Algorithms

Analytics

Machine Learning

Probability

Product Metrics

Python

Statistics

Myntra Data Scientist Interview Process

You are given an array of numerical values, bootstrap samples, and size for a confidence interval.

Write a function that performs bootstrap sampling on the given array and calculates the confidence interval based on the given size.

Note: The function should return a tuple containing the minimum and maximum values of the confidence interval rounded to the tenths place.

Example

Input:

<pre tabindex="0" class="chroma"><code>values = [1, 2, 3, 4, 5]
</code></pre>

Output

<pre tabindex="0" class="chroma"><code>bootstrap_conf_interval(values, 1000, 0.95) -&gt; (1.2, 4.8)
</code></pre>

In this case, the function returns a tuple indicating that we are 95% confident that the population parameter lies between 1.2 and 4.8 based on our bootstrap samples.

Note: Results may vary due to the randomness of bootstrap sampling.

Write a function to bootstrap the confidence interface for a list of integers

Bootstrapping Confidence Intervals

Let’s say you’ve just started as the operations manager at Lyft, and the CEO has asked you to design a dashboard for weekly leadership meetings. The company is facing increased competition in major cities, and there’s concern about both driver retention and rider wait times. This week, marketing is launching a $2M campaign to boost new rider signups in these cities.

Given limited dashboard space, what specific metrics and visualizations would you include?

Which metrics and visualizations would you prioritize for a CEO-facing dashboard during a major rider acquisition campaign?

Lyft Ops Dashboard

Data Visualization & Dashboarding

You are given a string that resembles the declaration of a list of dictionaries.

Without using the <code>pandas</code> package, write a function <code>read_split_from_str</code> to split the data into two lists, one for training and one for testing, with a 70:30 split between the training set and the testing set.

Note: Use <code>numpy</code> for random number generation if you need to.

Example

Input:

<pre tabindex="0" class="chroma"><code>list_of_dict_str = &#34;[{&#39;x&#39;: 0.0, &#39;y&#39;: 5.43}, {&#39;x&#39;: 50.0, &#39;y&#39;: 102.78}, {&#39;x&#39;: 100.0, &#39;y&#39;: 204.24}]&#34;
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def read_split_from_str(list_of_dict_str) -&gt; 
 [
 [{&#39;x&#39;: 0.0, &#39;y&#39;: 5.43}, {&#39;x&#39;: 50.0, &#39;y&#39;: 102.78}],
 [{&#39;x&#39;: 100.0, &#39;y&#39;: 204.24}]
 ]
</code></pre>

Write a function that splits the data into two lists, one for training and one for testing.

Split Data Without Pandas

Python & General Programming

Myntra Data Scientist Interview Questions

Job Title: Data Scientist (Product & Algorithms)Location: Delhi (Hybrid/Remote)Job Type: Full-time About Us At Best Nanotech, we are on a mission to [insert mission]. We generate massive amounts of data every day, but data without insight is just overhead. We are building a high-performance Data Science team to help us make smarter, faster decisions. The Role We are looking for a Data Scientist who sits at the intersection of coding, statistics, and business strategy.Shutterstock You won't just be handed a ticket to "build a model." You will partner with Product Managers and Engineers to identify problems, formulate hypotheses, and prototype solutions that scale.Key Responsibilities<ul><li>Exploratory Analysis: Mine large datasets to uncover trends, patterns, and user behaviors that drive product innovation.</li><li>Modeling: Build and validate predictive models (Regression, Classification, Clustering) using Python (Scikit-Learn/Pandas).</li><li>Experimentation: Design, execute, and analyze A/B tests to validate product changes.</li><li>Data Wrangling: Write complex SQL queries to extract data and build lightweight ETL pipelines for your analysis.</li><li>Storytelling: Visualize your findings (using Tableau, Looker, or Matplotlib) and present actionable recommendations to stakeholders.</li><li>Shutterstock</li></ul>What You Bring (Requirements)<ul><li>Experience: 3+ years of experience in a Data Science or Analytics role.</li><li>Education: Degree in Math, Statistics, Computer Science, Economics, or related quantitative field.</li><li>The Toolkit:</li><li>Expert-level SQL (Joins, Window Functions, CTEs).</li><li>Strong proficiency in Python (preferred) or R.</li><li>Experience with libraries like Pandas, NumPy, Scikit-learn.</li><li>The Math: Solid grasp of statistics (Hypothesis testing, distributions, bias/variance).</li><li>The Soft Skills: Ability to translate complex technical results into plain English for non-technical partners.</li></ul>Bonus Points<ul><li>Experience with Cloud Data Warehouses (Snowflake, BigQuery).</li><li>Experience deploying models as APIs (Flask/FastAPI).</li><li>Familiarity with causal inference techniques.</li></ul> How to Apply Click Easy Apply or send your portfolio/GitHub link to [email address].

Department: Data & Analytics Location: London Description Hybrid. You'll be expected to join us at one of our offices (London or Cardiff) approx. twice a month About Us In 2002, we became the first insurance comparison site. Our purpose? To make the process of sorting your insurance, utilities or personal finances as easy as possible. We’re part of RVU. A group of online brands that include Uswitch, Tempcover and money.co.uk. As a group, we use our shared knowledge to empower people, and help them make decisions confidently across a range of household services. Confused.com is at the cutting edge of the FinTech industry, so we’re always looking for extraordinary talent. If you love what you do, get in touch today! About The Role As a Senior Marketing Data Scientist at Confused.com, you will be a crucial driver of business impact, bridging the gap between complex data and strategic marketing decisions. In this role, we are looking for a strategic analytical leader who will quantify the effectiveness of our marketing strategy. You will partner closely with Marketing, Finance, and leadership to optimise our multi-million pound marketing budget and shape the future of our growth. This isn't just a maintenance role; it's a strategic challenge. Our analytics function is on a mission to evolve from a reactive reporting team into a proactive, value-generating engine, and this role is fundamental to that shift. You will be a key architect of this change, bringing the critical causal inference expertise needed to elevate our team's technical standards and help us generate new, high-value ideas directly from our data. About The Team Reporting to our Head of Analytics, you will join our central Data Science team, a high-impact group of specialists that functions as an internal centre of excellence. We Answer Questions Like <ul><li>What is the true incremental impact of our TV advertising on car insurance sales?</li><li>How should we reallocate our budget between different marketing channels to maximize ROI?</li><li>What is the true impact of our promotional offers on customer acquisition and retention?</li><li>Which customer segments are most responsive to our marketing efforts and why? </li></ul>What You'll Be Doing You’ll leverage a modern data stack to: <ul><li>Take ownership of a critical, high-value, and high-visibility process that determines our ad spend.</li><li>Design, build, and maintain advanced Marketing Mix Models to inform strategic budget allocation.</li><li>Apply causal inference techniques to measure the incremental impact of specific marketing campaigns and initiatives.</li><li>Partner with senior stakeholders to translate complex model outputs into clear, actionable recommendations for leadership.</li><li>Champion and build greater team autonomy by designing robust, source-controlled data pipelines for marketing data products.</li><li>Mentor and up-skill our wider analytics team, in the principles of experimental design and causal inference, helping to level-up the entire team.</li><li>Mentor and up-skill our wider analytics team, in the principles of experimental design and causal inference, helping to level-up the entire team. </li></ul>What We're Looking For <ul><li>You have an expert-level SQL and Python skills for large-scale data analysis and model development.</li><li>You have a deep understanding of causal inference methodologies (e.g., DiD, PSM/IPW) and advanced experimental design (A/B/n testing).</li><li>Ideally, you have proven experience developing and deploying Marketing Mix Models in a commercial environment.</li><li>Strong statistical foundation, ideally including Bayesian methods.</li><li>A passion for building production-quality, source-controlled data products, with data engineering skills to help the team own more of its data pipelines.</li><li>Exceptional stakeholder management and influence, with a demonstrated ability to translate complex quantitative concepts for senior, non-technical audiences.</li><li>An ambassador for data, who can advocate for data-driven decisions across multi-disciplinary teams.</li><li>A growth mindset and a passion for mentoring, with a desire to help raise the entire team's technical standard. </li></ul>Our Commitment To You At RVU, we are dedicated to developing valuable, inclusive, and user-friendly products and services that deliver positive outcomes for all of our customers. To achieve this it’s essential that our teams reflect the diverse range of people in our community. We believe in being the change we wish to see in the world, by embracing our differences and holding ourselves accountable to being open and inclusive teammates and wider community members. What We Offer We want to give you a great work environment, support your growth both personally and professionally, and provide benefits that make your time at RVU even more enjoyable. Here are some of the benefits you can look forward to: <ul><li>10% discretionary yearly bonus and yearly pay reviews (based on RVU and personal performance)</li><li>A hybrid working approach with 2 in-office days per week and up to 22 working days per year to “work from anywhere”</li><li>Employer matching pension contributions up to 7.5%</li><li>A one-off £300 “Work from Home” budget to help contribute towards a great work environment at home</li><li>Excellent maternity, paternity, shared parental and adoption leave policy, for those key moments in your life</li><li>25 days holiday (increasing to 30 days) + 2 days “My Time” per year</li><li>Private medical cover, critical illness cover , dental plans and employee assistance programme</li><li>Free gym access</li><li>Employee discounts programme</li><li>A healthy learning and training budget to support your development</li><li>Electric vehicle and cycle to work schemes</li><li>Regular events - from team socials to company-wide events with insightful external speakers, we want to make sure our colleagues continue to feel connected</li><li>As a tech company who strives to get better every day, we use Metaview during the interview processes for note taking purposes. This records and transcribes interviews so the interviewer can fully focus on your conversation, rather than writing. This has no bearing on the assessment of you as a candidate and you can opt out at any time. Just let us know.</li></ul>

Job Title: Data ScientistLocation: Johnston, Rhode IslandType: Full Time Our client is looking for a Data Scientist to design and implement advanced analytics and AI solutions that solve real-world business challenges. This role offers the opportunity to innovate, explore cutting-edge technologies, and make a measurable impact. What You’ll Do<ul><li>Lead end-to-end data science projects, from concept to deployment.</li><li>Apply statistical modeling, machine learning, and deep learning to large-scale problems.</li><li>Collaborate with cross-functional teams to translate business needs into data-driven strategies.</li><li>Drive innovation through experimentation and advanced analytics.</li></ul> What We’re Looking For<ul><li>Ph.D. in Statistics, Biostatistics, or Operations Research with 2+ years of experience OR Master’s with 5+ years in data science.</li><li>Expertise in Python, R, or SQL</li><li>Cloud platforms (e.g., Databricks)</li><li>GLMs, Model Regularization, Probability Distributions, Hypothesis Testing</li><li>Machine Learning (Random Forest, Gradient Boosting, Clustering)</li><li>Simulation, Experimental Design, Non-Parametric Statistics</li><li>Proven experience leading full-cycle data science projects.</li><li>Background in risk management or insurance is a plus.</li></ul> Benefits & Perks<ul><li>Competitive compensation and performance-based incentives.</li><li>Comprehensive health and wellness programs.</li><li>Retirement plans (401(k) and pension).</li><li>Flexible work arrangements and generous paid time off.</li><li>Tuition reimbursement and continuous learning opportunities.</li></ul>

Are you ready to write your next chapter? Make your mark at one of the biggest names in payments. We’re looking for a Senior Data Scientist to join our ever evolving Authorisation Management Performance team and help us unleash the potential of every business. What You’ll Own As The Senior Data Scientist As a Senior Data Scientist, you will lead efforts to forecast trends and automate processes using complex, unstructured data. You’ll design predictive models and algorithms to drive payment optimisation and strategic decision-making. Working with a diverse and cross border team, you’ll be responsible for developing, interpreting, and implementing concepts for uplifting authorisation approvals and controls. Key Responsibilities <ul><li>Primary Focus - Predictive & Prescriptive - looking at building Models to forecasting future trends using Large Complex Unstructured Data.</li><li>Build predictive and prescriptive models using machine learning and big data models.</li><li>Implement Algorithms to automated analysis process methods</li><li>Deliver automated insights and visual summaries for stakeholders.</li><li>Explore open-ended business challenges and design experiments.</li><li>Translate data into new/enhanced capability and functionality requirements.</li><li>Output should show Payment Optimisation insights with solution recommendations to key stakeholders and decision makers. </li></ul>Key Areas In Which You Will Add Value <ul><li>Own the responsibility for identifying and resolving the biggest authorization issues: from identifying issues through dashboards and data interrogation, to owning the resolution (including enlisting support from other teams where needed) and tracking the impact delivered.</li><li>Collaborate internally to submit issues for resolution, tracking success, and working to refine the operating model between teams for greatest success.</li><li>Use analytics and insights to identify areas for improvement, bottlenecks and opportunities on authorization issue investigation.</li><li>Establish robust impact tracking to demonstrate authorization enhancement programme achievements, which can be shared to senior leadership.</li><li>Facilitate the exchange of feature requests between the authorization teams and tooling team to support the continuous development of authorisation monitoring tooling (Executive & Operational dashboards, Root Cause Analysis, Near-time alerting, etc.)</li><li>Support the development of a knowledge codification library for the broader Authorization team, and cross-team learning and alignment calls in partnership with key internal stakeholders. </li></ul>What You’ll Bring <ul><li>Bachelor’s degree in computer science or equivalent proficiency in programming languages, ML libraries, and big data platforms.</li><li>Strong knowledge of the Payments industry & IT technologies.</li><li>Desirable but not essential - Broad knowledge of Worldpay products and related services; in-depth knowledge of products and services for which team(s) provide support.</li><li>Excellent verbal and written communication skills to technical and non-technical audiences of various levels in the organization, e.g., executive, management, individual contributors.</li><li>Experience in authorisation investigation and resolution.</li><li>Excellent problem-solving, and time management skills.</li><li>Willingly shares knowledge and expertise to other resources.</li><li>Ability to work independently and collaboratively.</li><li>Deep understanding of the payments industry and authorisation pathways (e.g., gateways, platforms, acquirers, networks, issuers, etc.)</li><li>Experience with Authorization investigation & resolution, strong analytical skills to understand investigation approaches of team & get involved on most complex matters.</li><li>Strong leadership & communication skills, and strong project management skills.</li><li>Understanding (but not detailed expertise) of requirements for engineering ticket submissions, converting business requirements to product stories, PI process, etc.</li><li>Some flexibility of hours is required. </li></ul>It’s a bonus if you have <ul><li>Strong existing connections within the Worldpay business (e.g., Product, Commercial or Operational) & ability to drive new cross-business collaboration.</li><li>Knowledge and experience with differing platforms (e.g., WPG, VAP, NAP) and merchant profiles (e.g., needs and issues of smaller vs larger merchants). </li></ul>To learn more about the behaviors we value, checkout our <a>values and behaviors</a>. About The Team Worldpay aims to ensure that consumers experience successful transactions every time they spent. To support this goal, Worldpay has established a dedicated team focused on Authorization Rates. This team would be a key pillar within our new structure, focusing on improving authorization performance globally. The team will proactively identify the biggest issues affecting our authorization performance (using dashboards, proactive analysis, and submissions from RMs), prioritise effort on the most important issues, then own the investigation and resolution. To learn more about our winning teams, check out our <a>world-class teams</a> that own it every day. What Makes a Worldpayer What makes a Worldpayer? It’s simple: Think, Act, Win. We stay curious, always asking the right questions and finding creative solutions to simplify the complex. We’re dynamic, every Worldpayer is empowered to make the right decisions for their customers. And we’re determined, always staying open and winning and failing as one. Does this sound like you? Then you sound like a Worldpayer. Apply now to write the next chapter in your career. Privacy Statement Worldpay is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how Worldpay protects personal information online, please see the <a>Online Privacy Notice</a>. Sourcing Model Recruitment at Worldpay works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. Worldpay does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company. #pridepass

Schindler is a global leader in elevator, escalator, and moving walkway solutions, operating in over 100 countries. Every day, our systems move more than a billion people, helping shape the flow of urban life. At Schindler, we don’t just build mobility solutions — we build careers, innovation, and impact. Our dynamic and forward-thinking work environment empowers talented individuals to design, develop, and deploy technologies that keep cities moving. Join Us as a Senior Data Scientist (m/f/d)Location: Milan, Lombardy, Italy (Hybrid: 1-2 days/week working from home)Company: Schindler Group Help Shape the Future of Predictive Maintenance & AI-Driven MobilitySchindler is transforming urban mobility through smart, connected solutions that enhance reliability and efficiency. In this role, you will design, develop, and deploy machine learning models and AI components for predictive analytics, optimization, anomaly detection, intelligent documentation systems, and automation of diagnostic processes. You will work hands-on across data preparation, modeling, evaluation, and integration into operational workflows, ensuring scalability and reliability in complex environments. Why Schindler?<ul><li>Shape the Future: Contribute to next-generation predictive maintenance solutions that reduce downtime and improve safety.</li><li>Global Impact: Your work will be deployed in real-world operations, impacting millions of passengers worldwide.</li><li>Collaborate with Experts: Join a global, multidisciplinary team in AI, IoT, engineering, and operations.</li><li>Continuous Learning: Explore and implement the latest technologies and best practices in data science, optimization, and MLOps.</li></ul> Your Responsibilities<ul><li>Prepare and analyze datasets (including time-series and event data) for predictive modeling and anomaly detection.</li><li>Build and validate models for reliability estimation and failure prediction; define evaluation protocols and monitoring (data/model drift).</li><li>Develop optimization algorithms and reinforcement learning prototypes for resource allocation and scheduling.</li><li>Transform rules-based workflows into AI-driven components and agents for automated decision-making.</li><li>Ensure high-quality ML pipelines with automated testing and CI/CD integration.</li><li>Support deployment workflows, model monitoring, and data-drift alerts in cloud/containerized environments.</li><li>Utilize pipeline orchestration tools (Airflow, Prefect, Kubeflow) for scalable workflows and experiment tracking.</li><li>Apply best practices in software versioning (Git, GitHub, Bitbucket) and code management.</li><li>Collaborate in Agile teams (Scrum/Kanban) for iterative delivery; contribute to backlog refinement, sprint planning, and stakeholder alignment.</li><li>Mentor junior team members and align with technical standards (for senior profiles).</li></ul> What You Bring<ul><li>Experience: 5+ years delivering AI solutions end-to-end; more junior candidates (1–3 years in data science or ML projects) will be considered.</li><li>Strong programming in Python; proficiency with ML frameworks (Scikit-learn, TensorFlow, PyTorch).</li><li>Solid understanding/expertise in predictive modeling, anomaly detection, feature engineering, and optimization; familiarity with reinforcement learning concepts.</li><li>Experience with Git-based version control and collaborative development platforms.</li><li>Familiarity with containerization and cloud environments; knowledge of MLOps practices (CI/CD, Docker, Kubernetes).</li><li>Agile mindset and experience with tools like Jira or Confluence.</li><li>Ability to mentor and influence cross-functional teams (senior profiles).</li></ul> Qualifications That Will Strengthen Your Profile<ul><li>Exposure to IoT data environments (device telemetry, events).</li><li>Experience with explainability methodologies (SHAP, LIME) and knowledge graphs.</li><li>Experience in designing scalable AI architectures and setting technical standards; ability to influence stakeholders.</li></ul> Ready to Elevate Your Career?If you're excited to apply and/or lead AI and machine learning solutions for predictive analytics and optimization, we want to hear from you. Join Schindler and be part of a global company that values innovation, collaboration, and professional growth. Apply Today and Make an Impact with Schindler! Diversity & InclusionAt Schindler Group we value inclusion and diversity, and practice equity to create equal opportunities for all. We endeavor that all qualified applicants will receive consideration for employment without regard to age, race, ethnic background, color, religious affiliation, union affiliation, gender, gender identity, sexual orientation, marital status, national origin, nationality, genetics and health or disability.

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At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world.
Come join the rapidly expanding Lilly Genetic Medicines team at Eli Lilly! We are responsible for inventing, characterizing, and advancing novel genome editing reagents for a myriad of clinical applications. Our team works cross-functionally within our organization across multiple disease areas and platforms. Our goal is to deliver on the promise of gene editing to patients around the world.
At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world. Director/Sr. Director - Data Scientist
Come join the rapidly expanding Lilly Genetic Medicines team at Eli Lilly! We are responsible for inventing, characterizing, and advancing novel genome editing reagents for a myriad of clinical applications. Our team works cross-functionally within our organization across multiple disease areas and platforms. Our goal is to deliver on the promise of gene editing to patients around the world. Job Responsibilities:

* Lead and mentor a team of data scientists to deliver impactful analytics solutions.
* Develop and execute the organization's strategic vision for data science and AI, aligning with business goals.
* Collaborate with executives and leaders to address key business challenges using data science.
* Drive the creation and implementation of advanced machine learning and AI models to solve complex problems.
* Ensure best practices in model development, validation, and deployment.
* Stay updated on emerging trends and suggest innovative solutions.
* Work with data engineering and IT teams to ensure data availability, scalability, and accessibility.
* Oversee the optimization of data pipelines and workflows for large-scale analysis.
* Integrate data science insights into business processes across various departments.
* Provide strategic guidance on data insights to inform business decisions.
* Present analytical insights and recommendations to senior executives clearly and concisely.
* Lead reporting and performance tracking for data science initiatives, including KPIs and impact assessments.
* Hire and manage a growing team to meet program timelines.
* Help data scientists communicate complex information to a cross-functional audience.

Basic Qualifications:

* PhD with 5+ years of industry experience, or Bachelors and/or Master with 15+ years of related work experience.

Additional Preferences:

* Proven track record of successfully leading large-scale data science and AI initiatives across various business functions.
* Strong experience with machine learning algorithms, statistical modeling, and predictive analytics.
* Deep understanding of data engineering and data infrastructure, with a strong ability to collaborate with technical teams to build scalable solutions.
* Expertise in programming languages such as Python, R, SQL, and familiarity with big data technologies like Hadoop, Spark, and cloud platforms (e.g., AWS, GCP, Azure).
* Exceptional problem-solving and analytical thinking.
* Strong leadership, team-building, and mentoring skills.
* Excellent communication skills, with the ability to translate complex technical concepts into clear business strategies.
* Strong project management skills, with experience leading cross-functional teams and driving initiatives from concept to execution.

Additional Information :

* This role may require up to 10-15% travel for conferences or training and will include the opportunity to mentor and train junior scientists.

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation ) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.

Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.
Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is $184,500 - $321,200
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
#WeAreLilly #J-18808-Ljbffr

About LendableLendable is on a mission to make consumer finance amazing: faster, cheaper, and friendlier. We're building one of the world’s leading fintech companies and are off to a strong start: <ul><li>One of the UK’s newest unicorns with a team of just over 600 people</li><li>Among the fastest-growing tech companies in the UK</li><li>Profitable since 2017</li><li>Backed by top investors including Balderton Capital and Goldman Sachs</li><li>Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on <a>Trustpilot</a>)</li></ul> So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. Join us if you want to<ol><li>Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1</li><li>Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo</li><li>Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting</li></ol> About the RoleWe are looking for an experienced Senior Data Scientist to run marketing and growth analytics in our rapidly evolving multi-product app. As Lendable scales its products across lending, engagement features and other financial services, the complexity and volume of data-driven decisions have grown exponentially. This role is central to unlocking insights that will shape our drive acquisition efficiency and fuel product innovation, overseeing the full breadth of digital and non-digital channels across multiple products.You will be the senior analytical voice across our Zable direct marketing initiatives - owning end-to-end marketing funnel data, capture requirements, insight generation, experimentation strategy, and advanced analytics projects. Beyond individual contribution, you will instill best practices and be a key thought partner to product, growth, and engineering leaders. What You'll DoImpact & Analytical Leadership<ul><li>Analyse marketing campaign performance across multiple channels and conduct analyses to identify trends and opportunities for optimisation</li><li>Structure and execute high-impact analyses in acquisition funnels to inform marketing spend and product evolution</li><li>Drive experimentation rigor: design, implement, and analyze A/B tests, multivariate experiments, and cohort studies</li><li>Co-operate with product and credit teams to ensure mid to deep funnel performance is improved.</li></ul>Data Product Involvement<ul><li>Influence data architecture by contributing to schema design that enable more insights</li><li>Build high quality, scalable pipelines and transformations that increase interpretability of data and increase the teams’ agility</li></ul>Cross-Functional Partnership<ul><li>Serve as a thought partner to Product Managers and Credit Managers - ensuring analytical insight drives roadmap prioritisation and credit assessments.</li><li>Collaborate with the creative and design team to deepen insights at the creative and campaign level to enhance prioritisation of their ideas.</li></ul> What We're Looking ForCore Qualifications<ul><li>3+ years of experience in data analytics/ science, ideally within a product-led or high-growth tech environment</li><li>Deep expertise in analytical methods including funnel optimisation, segmentation, cohort analysis, LTV modelling, and regression techniques.</li><li>High proficiency in SQL and strong command of one or more analytics tools or statistical packages (e.g., Python, R).</li><li>Hands-on experience with DBT and familiarity with data modelling best practices</li><li>Skilled in experimentation frameworks (A/B testing, hypothesis testing, causal inference).</li><li>Demonstrated ability to turn ambiguous problems into structured, hypothesis-driven, data-supported insights.</li><li>Excellent communication skills with experience influencing cross-functional stakeholders and product leaders.</li></ul>Nice to Have<ul><li>Experience in credit marketing (credit cards, loans, car finance etc.)</li><li>Experience with paid media platforms (Google Ads, Meta, Tiktok etc.) and working with marketing teams</li><li>Experience building or contributing to Marketing Mix Models or incrementality testing frameworks.</li><li>Familiarity with data instrumentation and schema design in product development cycles</li></ul> Interview process:<ul><li>Screening call</li><li>Take home task and cognitive tests</li><li>Case study</li><li>Final Interview</li></ul> Life at Lendable<ul><li>The opportunity to scale up one of the world’s most successful fintech companies.</li><li>Best-in-class compensation, including equity.</li><li>You can work from home every Monday and Friday if you wish - on the other days, those based in the UK come together IRL at our Shoreditch office in London to be together, build and exchange ideas.</li><li>Enjoy a fully stocked kitchen with everything you need to whip up breakfast, lunch, snacks, and drinks in the office every Tuesday-Thursday.</li><li>We care for our Lendies’ well-being both physically and mentally, so we offer coverage when it comes to private health insurance</li><li>We're an equal-opportunity employer and are looking to make Lendable the most inclusive and open workspace in London</li></ul>Check out our <a>blog</a>!

Join Kainos and Shape the Future At Kainos, we’re problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we’re transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together. We believe in a people-first culture, where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you’ll be part of a diverse, ambitious team that celebrates creativity and collaboration. Ready to make your mark? Join us and be part of something bigger. Job Profile Description Kainos is recognised as one of the UK’s leading AI and data businesses, with a decade-long track record of delivering impactful, production-grade AI solutions for clients across government, healthcare, defence, and commercial sectors. Kainos is at the forefront of AI innovation, trusted by Microsoft, AWS, and others to deliver advanced AI and data solutions at citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government’s AI Cyber Security Code of Practice implementation guide and we partner with leading organisations to ensure AI is deployed ethically, securely and with measurable business value. Our teams are at the cutting edge of AI research, and delivery, it is truly an exciting team to join Kainos as we further grow our AI capability. MAIN PURPOSE OF THE ROLE & RESPONSIBILITIES IN THE BUSINESS: As a Senior Data Scientist at Kainos, you will be building advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures. Your role will involve hands-on technical delivery, collaborating with customers to translate business challenges into trustworthy AI solutions and ensuring responsible AI practices throughout. As a technical mentor, you will foster a culture of innovation, continuous learning, and engineering excellence. It is a fast-paced environment, so it is important for you to make sound, reasoned decisions. You will do this whilst learning about new technologies and approaches, with talented colleagues that will help you to develop and grow. You will support your colleagues and more junior developers, providing direction support as you solve challenging problems together. Minimum (essential) Requirements <ul><li>A minimum of a 2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field. </li><li>Have a deep understanding and developing of AI/ML models, including time series, supervised/unsupervised learning, reinforcement learning and LLMs. </li><li>Experience with the latest AI engineering approaches such as prompt engineering, retrieval-augmented generation (RAG), and agentic AI. </li><li>Strong Python skills with a grounding in software engineering best practices (CI/CD, testing, code reviews etc). </li><li>Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal data. </li><li>Understanding of responsible AI principles, model interpretability, and ethical considerations. </li><li>Strong interpersonal skills and team working. </li></ul>Desirable <ul><li>Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost). </li><li>Experience with data storage for AI, vector databases, semantic search, and knowledge graphs. </li><li>Actively contributes to open-source AI projects, research publications, and industry events/websites. </li><li>Familiarity with AI security, privacy, and compliance standards e.g. ISO42001. </li></ul>Embracing our differences   At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive.   We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are.   We also believe every candidate deserves a level playing field. Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out. We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.

De wereld die we nodig hebben, die draait grotendeels op software. Maar de systemen van de grootste organisaties? Die zijn vaak echt wel wat jaren oud. Miljarden aan transacties, duizenden vluchten, de hele logistiek… draait op legacy. Heel wat grote namen lopen keihard tegen dit probleem aan. Laten we het maar zo houden? Nee! Deze organisatie is er om de boel radicaal anders aan te pakken. Vertel verder Software, AI, Strategie, Cloud. Vraag wat ze hier niet doen. Deze softwaregigant werkt voor de grootste bedrijven in Nederland. Ze staan aan de top van de IT-markt. Dat is geen toeval: ze gaan alleen voor high quality. Gericht op de klantvraag, maar gedreven door, naja, perfectie. Van financiële instellingen met complexe behoeften tot grote luchtvaartmaatschappijen en retailers die non-stop moeten innoveren. Concurreren is in deze wereld absolute noodzaak. Deze organisatie heeft een enorme passie voor kennis, kunde en haar medewerkers. Ze pushen de grenzen en gaan voor het best haalbare resultaat. Technologie maakt bedrijven hier niet alleen beter, het maakt ze ook duurzamer. Wat doe ik hier Ze noemen jou hier ook wel de businessversneller. Jouw werk is om het ruwe goud uit de data van de grootste opdrachtgevers te halen. Je gaat veel verder dan dashboards: je bouwt de voorspellende en verklarende modellen die bepalen hoe deze organisaties hun projecten sturen. Je staat direct in de operatie om te snappen welke vragen de business écht heeft. Je selecteert de juiste statistische technieken, schrijft Python-code en voert experimenten uit. Dit is geen academisch onderzoek; dit is resultaatgericht modelleren voor fraudedetectie, klantgedragvoorspelling of logistieke optimalisatie. Je vertaalt de uitkomsten van je modellen naar heldere, direct uitvoerbare adviezen voor de beslissers. Jouw werk heeft directe, meetbare invloed op de bedrijfsstrategie van de opdrachtgevers. Kan ik het ook Jij bent die specialist die wetenschappelijke precisie combineert met zakelijk inzicht. Je hebt een flink analytisch inzicht. Bovendien hebt je een Bachelor’s of Master’s degree in bijvoorbeeld Wiskunde, Informatica, Econometrie of een vergelijkbare technische/kwantitatieve richting. Technisch gezien zit je goed: je hebt diepgaande kennis van statistiek en de achterliggende wiskunde. Python is je go-to-taal. Je hebt ervaring met het bouwen en valideren van modellen en je weet precies welke Machine Learning-tools je daarvoor nodig hebt. Het gaat niet alleen om de code. Je bent van nature nieuwsgierig, stelt de juiste, kritische vragen, en weet hoe je complexe dataverhalen simpel vertelt. Last but not least, je spreekt en schrijft Nederlands en Engels. Spekken ze mijn bankrekening ook een beetje Nou en of dat jij goed betaald krijgt! Denk aan een salaris tussen de €70.000,- en €95.000,- per jaar, met de zekerheid van een vast dienstverband. Je komt terecht in een topteam waar je superveel van leert en mee leert; dat is een serieuze upgrade voor je cv. Het kantoor is lekker makkelijk te bereiken. Bovenop dat salaris krijg je natuurlijk vakantiegeld, 25 vakantiedagen en een volledige reiskostenvergoeding. Je oude dag? Uiteraard geregeld! Reken trouwens ook op de handigste gadgets om je werk te doen. En ze zijn niet alleen gul met spullen; ze hebben ook een mental health supportplatform zodat jij altijd je ei kwijt kunt. Ze zorgen hier écht voor alles! Waar wacht je op? Solliciteer direct, dan spreken we je snel!

Wat is jouw rol? Bij Lely werken we aan een toekomst waarin technologie en landbouw samenkomen. Met slimme innovaties en data-analyse maken we het werk van melkveehouders efficiënter en zorgen we ervoor dat koeien gezond en gelukkig blijven. Onze nieuwste AI vision-technologie, Lely Zeta biedt real-time inzichten in het gedrag en de gezondheid van koeien. Als Data Scientist speel jij een sleutelrol in het waarmaken van deze visie. Bij Lely geloven we in een werkomgeving waarin iedereen zich welkom en gewaardeerd voelt. We zetten ons in om technologie toegankelijk en mensgericht te maken – en jouw ideeën en inzichten kunnen daarbij het verschil maken. In deze rol analyseer je koeiengedrag op een manier die de wereld van de veehouderij vooruithelpt. Je werkt met videobeelden, locatie- en bewegingsdata om waardevolle inzichten te genereren die veehouders helpen vroegtijdig gezondheidsproblemen te signaleren. Door gedragspatronen te analyseren en deze om te zetten in praktische, data-gedreven voorspellingen, maak je een directe impact op het welzijn van koeien én de bedrijfsvoering van melkveehouders. Concreet Houd Je Je Bezig Met <ul><li>Het analyseren van video- en locatiedata om gezondheidsindicatoren te identificeren. </li><li>Het toepassen van geavanceerde datamodellen om gedragspatronen te vertalen naar bruikbare inzichten. </li><li>Het ontwikkelen van data gedreven voorspellingen die melkveehouders ondersteunen bij het managen van hun kudde. </li><li>Samenwerken met een multidisciplinair team om wetenschappelijke kennis om te zetten in praktische oplossingen. </li></ul><a>Solliciteer </a>Wat is jouw ervaring? Je hebt een scherpe analytische geest en wordt enthousiast van het ontdekken van patronen in data. Werken aan technologie die niet alleen innovatief is, maar ook een positieve impact heeft op de wereld, spreekt jou aan. Daarnaast heb je affiniteit met dieren en landbouw, of ben je nieuwsgierig naar deze wereld. Je bent proactief, enthousiast en assertief en wilt graag bijdragen aan innovatieve oplossingen. wat neem je mee? <ul><li>Je volgt een WO bachelor of master in Robotics, AI, Data Science, Informatica, Statistiek of een vergelijkbare richting. </li><li>Ervaring in data-analyse (Python) en/of machine learning. </li><li>Vaardigheid in programmeertalen zoals Python en bij voorkeur ervaring met datavisualisatie. </li><li>Een combinatie van nieuwsgierigheid, daadkracht en het vermogen om complexe vraagstukken om te zetten in praktische oplossingen. </li><li>Duur: 3-6 maanden. </li><li>Start in februari 2026. </li></ul>Wat bieden wij jou? Een Leerzame En Waanzinnige Ervaring Bij Een Internationaal Bedrijf Dat Wordt Gedreven Door Innovatie. Heb Je Vragen, Dan Kun Je Altijd Terecht Bij Een Van Jouw Collega’s Die Net Zo Gedreven Zijn In Hun Vakgebied. Verder Bieden We Je <ul><li>Een internationale werkomgeving.</li><li>Een stagevergoeding van €650,- bruto per maand (o.b.v. 40 uur).</li><li>Een stage-appartement indien de reistijd te lang is.</li><li>Onze moderne Lely Campus biedt dagelijks toegang tot uitgebreide sportfaciliteiten: een indoor gym, outdoor padelbanen, een basketbal- en volleybalveld buiten, tafeltennis en tafelvoetbal. Je kunt meedoen aan Hyrox-workouts of je inschrijven voor personal training – en je collega’s uitdagen tijdens een actieve pauze.</li><li>Geniet van verse koffie en thee van onze eigen barista, met melk rechtstreeks van onze boerderij, én een gezond en betaalbaar bedrijfsrestaurant.</li><li>Een gratis shuttlebus brengt je van en naar de metro in Maassluis, zodat jouw werkdag soepel begint en eindigt.</li><li>Successen moeten gevierd worden: van jubilea tot kerstfeesten – bij Lely weten we hoe we dat aanpakken!</li><li>Ook zijn we trots dat onze inzet en visie zijn bekroond met het winnen van de Rotterdamse Ondernemersprijs 2025! </li></ul>Zie jij jezelf terug in de bovenstaande punten? Solliciteer dan direct op onze vacature op de website! Over Lely Een duurzame, winstgevende en aangename toekomst voor een melkveehouder door robotisering, engineering en boerenkennis te combineren, daar geloven we in. Dat begon in 1948 met een droom van twee broers in Maassluis. Sindsdien zijn we innovatieve koploper in geautomatiseerde systemen voor melkveehouders over de hele wereld. Met 2.300 gespecialiseerde professionals werken we constant aan nieuwe agrarische revoluties. Dat doen we nog steeds vanuit onze Campus in Maasluis, het gebouw met de hoogst haalbare duurzaamheidsprestaties van Nederland, maar ook wereldwijd. Met als doel, melkveehouden voor een volgende generatie (ook) interessant te maken. Kim Hijdra Wil je meer weten over deze vacature? Neem dan contact op met Kim. <a>Whatsapp Kim</a>

Myntra Data Scientist Interview Questions + Guide in 2025

Overview

Myntra Data Scientist Interview Process

Myntra Data Scientist Interview Questions

Myntra Data Scientist Jobs

Question	Topic	Difficulty	Ask Chance
Bootstrapping Confidence Intervals	Statistics	Easy	Very High
Lyft Ops Dashboard	Data Visualization & Dashboarding	Medium	Very High
Split Data Without Pandas	Python & General Programming	Medium	Very High