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

Innovyt Data Scientist Interview Guide

Getting ready for an Data Scientist interview at Innovyt? The Innovyt Data Scientist interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Innovyt Data Scientist roles.</li>
<li>Gain insights into the Data Scientist interview process at Innovyt.</li>
<li>Practice real Innovyt 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 Innovyt Data Scientist interview.


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

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

Overview

What Innovyt Looks for in a Data Scientist

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.

Innovyt Data Scientist Interview Process

Interview Tips

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

Statistics

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

Innovyt Data Scientist Interview Questions

How is this team contributing to vision of Providence? Ensure a continual and seamless service for customers regardless of which services they access.What will you be responsible for? <ul><li>End-to-end development and quality of solutions and services in conversational & Agentic AI capability</li><li>Understanding and Implementing advanced techniques in Agentic AI & Conversational AI Frameworks.</li><li>Introduce best practices in AI Frameworks.</li></ul> What would your day look like? <ul><li>Lead the design and development of Agentic AI Frameworks, models and systems, ensuring high performance and scalability.</li><li>Good in Python, RestAPI and data structure skills</li><li>Fine-tune and optimize pre-trained large language models (LLMs) such as GPT, LLAMA, Falcon, and Mistral.</li><li>Implement and manage model quantization techniques (e.g., GPTQ, AWQ, 8-bit/4-bit models) to enhance model efficiency.</li><li>Utilize Langchain, Dagster etc for orchestration and memory management in agentic applications.</li><li>Conduct thorough model evaluations using metrics such as BLEU, ROUGE, and perplexity to ensure model quality and performance.</li><li>Develop and maintain systems for intent recognition, entity extraction, and generative dialogue management.</li><li>Stay updated with the latest advancements in NLP and AI technologies and apply them to ongoing projects.</li><li>Mentor and guide junior engineers, fostering a culture of continuous learning and innovation.</li></ul>Who are we looking for?<ul><li>Minimum 6 years of experience in Programming Languages & AI Platforms</li><li>Strong understanding of deep learning fundamentals, including LSTM, RNN, ANN, POS tagging, and Transformer models.</li><li>Strong understanding and proficiency in Agentic AI Frameworks.</li><li>Proven experience in fine-tuning pre-trained LLMs (e.g., GPT, LLAMA, Falcon, Mistral) and Quantization.</li><li>Knowledge of model quantization techniques (GPTQ, AWQ, 8-bit/4-bit models).</li><li>Proficiency in using orchestration frameworks, state and memory management.</li><li>Experience with model evaluation metrics such as BLEU, ROUGE, and perplexity.</li><li>Understanding of intent recognition, entity extraction, and generative dialogue management systems.</li><li>Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.</li><li>Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders.</li><li>Good Understanding with Azure AI Foundary, Azure AI search, Indexing</li><li>Knowledge in Kubernetes is good to have.</li><li>Knowledge of Microsoft Event Hubs or Kafka Technologies</li><li>Experience with load testing and unit testing tools.</li><li>Proficient understanding source control and code versioning tools such as GIT, Azure DevOps etc.</li><li>Familiarity with CICD and DevOps.</li></ul>

Infilon Technologies, a prominent software development company based in Ahmedabad, is seeking a Senior Data Scientist (Immediate Joiner) to lead advanced analytics initiatives. The role involves working on large, complex datasets, building scalable data-driven solutions, and applying mathematical and algorithmic techniques to uncover insights. Job Location: Ahmedabad, Gujarat (Work from Office)Experience: 6+ Years Key Responsibilities<ul><li>Implement solutions using modern AI/ML frameworks to build, train, and deploy machine learning models at scale.</li><li>Develop and implement data similarity algorithms (e.g., Jaccard similarity, cosine similarity).</li><li>Design and optimize data models across SQL and NoSQL databases.</li><li>Work closely with engineers and stakeholders to deliver scalable, intelligent solutions.</li><li>Design and implement advanced search and traversal algorithms for complex data structures.</li><li>Work on large-scale, highly interconnected datasets to uncover patterns, insights, and business value.</li><li>Use your mathematical expertise to solve algorithmic and analytical challenges.</li><li>A quick learner with a proven ability to be adaptive to new technologies and evolving project requirements.</li><li>Exceptional analytical and problem-solving skills with a keen attention to detail.</li><li>Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.</li></ul> Required Skills<ul><li>6+ years in data science or architecture roles.</li><li>Strong hands-on experience with SQL & NoSQL databases.</li><li>Solid background in mathematics.</li><li>Experience with search algorithms and data science workflows.</li><li>Proficient in Python and relevant ML libraries.</li><li>Proven knowledge of data similarity and search algorithms.</li><li>Strong background in mathematics (linear algebra, statistics, probability, calculus).</li></ul> Nice to Have<ul><li>Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>Exposure to distributed computing frameworks (e.g., Spark, Hadoop).</li><li>Prior experience in architect-level roles in data-driven product teams.</li><li>Understanding of electrical components.</li></ul> Join us today and power your potential! Interested Candidates, kindly share your CV at hr@infilon.com www.infilon.comAhmedabad, Gujarat

Job Title: Data Scientist – Agentic AI & MLOps Location: Bangalore - Hybrid (3 days work from office, 2 days from home) About Us: Our client delivers next-generation security analytics and operations management. They secure organisations worldwide by staying ahead of cyber threats, leveraging AI-reinforced capabilities for unparalleled protection. Job Overview: We’re seeking a Senior Data Scientist to architect agentic AI solutions and own the full ML lifecycle—from proof-of-concept to production. You’ll operationalise LLMs, build agentic workflows, implement MLOps best practices, and design multi-agent systems for cybersecurity tasks. Key Responsibilities: <ul><li>Operationalise large language models and agentic workflows (LangChain, LangGraph, LlamaIndex, Crew.AI) to automate security decision-making and threat response.</li><li> Design, deploy, and maintain multi-agent AI systems for log analysis, anomaly detection, and incident response.</li><li> Build proof-of-concept GenAI solutions and evolve them into production-ready components on AWS (Bedrock, SageMaker, Lambda, EKS/ECS) using reusable best practices.</li><li> Implement CI/CD pipelines for model training, validation, and deployment with GitHub Actions, Jenkins, and AWS CodePipeline.</li><li> Manage model versioning with MLflow and DVC, set up automated testing, rollback procedures, and retraining workflows.</li><li> Automate cloud infrastructure provisioning with Terraform and develop REST APIs and microservices containerised with Docker and Kubernetes.</li><li> Monitor models and infrastructure through CloudWatch, Prometheus, and Grafana; analyse performance and optimise for cost and SLA compliance.</li><li> Collaborate with data scientists, application developers, and security analysts to integrate agentic AI into existing security workflows.</li></ul> Qualifications: <ul><li>Bachelor’s or Master’s in Computer Science, Data Science, AI or related quantitative discipline.</li><li> 4+ years of software development experience, including 3+ years building and deploying LLM-based/agentic AI architectures.</li><li> In-depth knowledge of generative AI fundamentals (LLMs, embeddings, vector databases, prompt engineering, RAG).</li><li> Hands-on experience with LangChain, LangGraph, LlamaIndex, Crew.AI or equivalent agentic frameworks.</li><li> Strong proficiency in Python and production-grade coding for data pipelines and AI workflows.</li><li> Deep MLOps knowledge: CI/CD for ML, model monitoring, automated retraining, and production-quality best practices.</li><li> Extensive AWS experience with Bedrock, SageMaker, Lambda, EKS/ECS, S3 (Athena, Glue, Snowflake preferred).</li><li> Infrastructure as Code skills with Terraform.</li><li> Experience building REST APIs, microservices, and containerization with Docker and Kubernetes.</li><li> Solid data science fundamentals: feature engineering, model evaluation, data ingestion.</li><li> Understanding of cybersecurity principles, SIEM data, and incident response.</li><li> Excellent communication skills for both technical and non-technical audiences.</li></ul> Preferred Qualifications: <ul><li>AWS certifications (Solutions Architect, Developer Associate).</li><li> Experience with Model Context Protocol (MCP) and RAG integrations.</li><li> Familiarity with workflow orchestration tools (Apache Airflow).</li><li> Experience with time series analysis, anomaly detection, and machine learning.</li></ul>

<h3>Job Description</h3><div>Job Description<div><div>Our mission: to eliminate every barrier to mental health. At Spring Health, we're on a mission to revolutionize mental healthcare by removing every barrier that prevents people from getting the help they need, when they need it. Our clinically validated technology, Precision Mental Healthcare, empowers us to deliver the right care at the right time—whether it's therapy, coaching, medication, or beyond—tailored to each individual's needs.We proudly partner with over 450 companies, from startups to multinational Fortune 500 corporations, as a leading provider of mental health service, providing care for 10 million people. Our clients include brands you use and know like Microsoft, Target, and Delta Airlines, all of whom trust us to deliver best-in-class outcomes for their employees globally. With our innovative platform, we've been able to generate a net positive ROI for employers and we are the only company in our category to earn external validation of net savings for customers.We have raised capital from prominent investors including Generation Investment, Kinnevik, Tiger Global, Northzone, RRE Ventures, and many more. Thanks to their partnership and our latest Series E Funding, our current valuation has reached $3.3 billion. We're just getting started—join us on our journey to make mental healthcare accessible to everyone, everywhere.</div>We're hiring a Senior Data Scientist to join our high-performing Advanced Analytics team, embedded within the Specialty Care group. This role will lead technical innovation to drive targeted outreach and scale Specialty Care utilization, leveraging diverse and novel data sources in close partnership with product, design, and engineering. The ideal candidate will thrive in ambiguity, bring strong analytical expertise, and drive rapid experimentation to surface actionable strategies that improve Specialty Care member engagement and health outcomes. This is a full-time, remote-eligible position, reporting into the Associate Director of Data Science under the CFO. What you'll do:<ul><li>Lead Analytical Strategy for Specialty Care: Own the end-to-end analytical strategy to increase Specialty Care utilization. You will develop and apply advanced methods, including AI, predictive modeling, classification, and clustering, to identify and segment at-risk members for high-acuity conditions. Your work will directly influence product strategy, de-risk new initiatives, and drive measurable business outcomes.</li><li>Drive Rapid Experimentation and Outreach: Design and execute a rapid experimentation roadmap to test, validate, and scale targeted member outreach strategies. Some projects will require quasi-experimental approaches to measuring impact. You will analyze results to provide clear recommendations on which initiatives to pursue, shaping the core of the pod's data-driven approach.</li><li>Act as an Embedded Technical Leader: Serve as the dedicated data science lead within the Specialty Care product pod, partnering closely with product management and design to influence the team's roadmap, define success metrics, and ensure strategic decisions are grounded in rigorous analysis.</li><li>Leverage Diverse and Complex Data: Work with large, multi-source datasets to perform feature engineering and uncover novel insights. This will involve both formal analysis and "scrappy" data sourcing to quickly answer critical business questions. You will coordinate closely with a partnered Analytic Engineer and Data Analyst embedded with Speciality Care.</li></ul>What success looks like:<ul><li>Incremental increase to Speciality Care utilization</li><li>Number of at-risk members identified</li><li>Achieving quarterly experiment velocity goals</li></ul>What you'll bring:<ul><li>5+ years of professional data science experience</li><li>Hands-on experience with experimentation, hypothesis testing, and quasi-experimental methods. </li><li>Proficiency with SQL and Python</li><li>Experience with data modeling via dbt or similar tools</li><li>Experience working with data visualization and BI tools (e.g., Looker, Hex)</li><li>Facility with a product development process in the context of a software product</li><li>Excellent verbal and written communication skills to guide and make recommendations to business partners</li><li>Proven ability to incorporate AI as a tool to solve complex business problems; including experience with prompt engineering for LLMs, using AI for code optimization and documentation, and establishing best practices for using these tools across teams.</li><li>Proven ability to proactively manage your own priorities and dependencies in alignment with cross-functional dependencies and business impact in a fast-paced environment</li><li>Proven success at navigating ambiguous problem areas and learning new approaches</li><li>Willingness to travel (at least 2 times per year) for collaborative sessions and summits with the team</li></ul>The target base salary range for this position is $159,100 - $194,150, and is part of a competitive total rewards package including stock options and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Database at minimum to ensure competitive and fair pay.Benefits provided by Spring Health:Note: We have even more benefits than listed here and below, your recruiter will provide more in-depth information as you continue in the interview process. Benefits are subject to individual plan requirements and eligibility criteria. <ul><li>Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type.</li><li>Employer sponsored 401(k) match of up to 2% for retirement planning</li><li>A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents.</li><li>We offer competitive paid time off policies including vacation, sick leave and company holidays.</li><li>At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents.</li><li>Access to Noom, a weight management program—based in psychology, that's tailored to your unique needs and goals. </li><li>Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses.</li><li>Access to Wellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription</li><li>Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care</li><li>Up to $1,000 Professional Development Reimbursement a year.</li><li>$200 per year donation matching to support your favorite causes.</li></ul><div>Not sure if you meet every requirement? Research shows that women and people from historically underrepresented communities often hesitate to apply for roles unless they meet every qualification compared to other similarly-qualified candidates. At Spring Health, we are committed to fostering a workplace where everyone feels valued, empowered, and supported to Thrive. If this role excites you, we encourage you to apply.Ready to do the most impactful work of your life? Learn more about our values, what it's like to work here, and how hypergrowth meets impact at Spring Health: Our ValuesOur privacy policy: https://springhealth.com/privacy-policy/Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.</div></div></div>

<ul><li>Use predictive modelling to increase and optimize power generation, price, cost savings, customer experiences and other business outcomes.</li><li>Experience in statistical modelling, machine learning, probability theory, algorithms. data mining, unstructured data analytics and natural language processing.</li><li>Expertise in machine learning techniques such as Clustering, Regression, Bayesian methods, tree-based learners, SVM, RF, XGBOOST, time series modelling, dimensionality reduction, SEM, GLM, GLMM, Deep learning, Neural Network, Topic Modelling, Multivariate Statistics, K-NN, Naïve Bayes etc.</li><li>Working knowledge of popular Deep Learning architectures and theory, simulation, scenario analysis, constraint optimization, anomaly detection, semi-supervised machine learning, unsupervised learning algorithms using deep learning etc.</li><li>Experience with optimization techniques (Linear Programming, Genetic Algorithm, Sim. Annealing, MC Simulation)</li><li>Experience in one of the upcoming technologies like deep learning, NLP, NLG, image processing, recommender systems, chatbot, voice AI, video AI etc.</li><li>Experience of working on end-to-end data science pipeline: problem scoping, data discovery and extraction, EDA, modelling, evaluation, insights, visualizations, continuous improvement, maintenance, and business value/impact tracking. Problem-solving: Ability to break the problem into small parts and applying relevant techniques to drive required outcomes</li><li>You will be required to discuss and use various algorithms and approaches daily.</li><li>Leading the entire software lifecycle including hands-on development, code reviews, testing, deployment, and documentation. Agile SCRUM and MLOps experience is preferred.</li><li>Develop reusable/scalable assets and accelerators. Implement ML best practices.</li><li>Work directly with our internal technical teams to ensure that our solutions are seamlessly and effectively integrated</li><li>Analyse the market and industry trends in the technology and proactively look for opportunities in proposing the best solutions. Proactively research on upcoming ML techniques and best practices.</li><li>Responsible for coding, testing, debugging, evaluating solution/ technology options (including Cloud), and documenting application development</li><li>Migrate current analytics applications & pipelines to Cloud in future</li></ul> Qualifications Experience - 8-15 yrsQualification - Graduate with Engineering Degree (CS/Electronics/IT) / MCA / MCS + Masters in Statistics/Economics/Business Analytics

Role SummaryWe are seeking a talented Data Scientist to join our growing team and play a crucial role in developing cutting-edge ESG analytics solutions. The successful candidate will work with diverse ESG datasets to create models, insights, and tools that help our clients make informed sustainability decisions and meet regulatory compliance requirements. Key ResponsibilitiesData Analysis & Modeling<ul><li>Develop and implement machine learning models for ESG risk assessment, sustainability scoring, and impact measurement</li><li>Analyze complex datasets including carbon emissions, supply chain data, social impact metrics, and governance indicators</li><li>Create predictive models for climate risk scenarios, regulatory compliance, and sustainability performance forecasting</li><li>Design and build ESG rating methodologies and scoring algorithms</li></ul>ESG-Specific Analytics<ul><li>Work with environmental data (carbon footprint, energy consumption, waste management, water usage)</li><li>Analyze social metrics (diversity & inclusion, labor practices, community impact, human rights)</li><li>Evaluate governance factors (board composition, executive compensation, transparency, ethics)</li><li>Develop sector-specific ESG benchmarks and peer analysis frameworks</li></ul>Data Engineering & Management<ul><li>Design and maintain robust data pipelines for ESG data ingestion from multiple sources</li><li>Ensure data quality, consistency, and accuracy across various ESG databases</li><li>Work with alternative data sources including satellite imagery, news sentiment, and regulatory filings</li><li>Implement data governance frameworks compliant with Indian and international standards</li></ul>Visualization & Reporting<ul><li>Create compelling data visualizations and interactive dashboards for ESG metrics</li><li>Develop automated reporting solutions for regulatory compliance (BRSR, TCFD, GRI standards)</li><li>Build client-facing analytics tools and ESG performance monitoring systems</li><li>Present complex analytical findings to both technical and non-technical stakeholders</li></ul>Collaboration & Innovation<ul><li>Collaborate with sustainability consultants, policy experts, and domain specialists</li><li>Stay updated with evolving ESG regulations, frameworks, and industry best practices</li><li>Contribute to research and development of new ESG measurement methodologies</li><li>Support business development activities with technical expertise and proof-of-concepts </li></ul>Required QualificationsEducation & Experience<ul><li>Master's degree in Data Science, Statistics, Computer Science, Environmental Science, or related field</li><li>4-6 years of experience in data science, analytics, or quantitative research</li><li>Prior experience in ESG, sustainability, climate risk, or related domains preferred</li><li>Experience with financial services, consulting, or regulatory compliance is a plus</li></ul>Technical Skills<ul><li>Programming: Proficiency in Python/R, SQL, and statistical analysis libraries (pandas, scikit-learn, numpy)</li><li>Machine Learning: Experience with supervised/unsupervised learning, time series analysis, and ensemble methods</li><li>Data Visualization: Expertise in Tableau, Power BI, Plotly, or similar tools</li><li>Cloud Platforms: Experience with AWS, Azure, or GCP for data processing and model deployment</li><li>Databases: Knowledge of SQL and NoSQL databases, data warehousing concepts</li><li>Big Data: Familiarity with Spark, Hadoop, or similar big data technologies</li></ul>ESG Knowledge<ul><li>Understanding of ESG frameworks (GRI, SASB, TCFD, CDP, UN Global Compact)</li><li>Knowledge of Indian ESG regulations and reporting requirements (BRSR, SEBI guidelines)</li><li>Familiarity with climate science, carbon accounting, and sustainability metrics</li><li>Awareness of international ESG standards and rating methodologies</li></ul>Soft Skills<ul><li>Strong analytical thinking and problem-solving abilities</li><li>Excellent communication skills in English and Hindi</li><li>Ability to work in cross-functional teams and manage multiple projects</li><li>Detail-oriented with strong quality assurance mindset</li><li>Passion for sustainability and positive environmental/social impact </li></ul>

We’re Hiring: Data Scientist (2+ Years Experience) | Chennai (Onsite) About UsAt Shark AI Solutions, we are Driving Innovation with Intelligent AI.We craft bespoke AI solutions that empower businesses by transforming complex data into actionable insights and tangible growth opportunities.Our expertise spans:<ul><li>Gen AI Automation → Automating insights from web, emails, documents, and images</li><li>Executive Insights → Dashboards revealing revenue & expenditure patterns</li><li>AI Content Generation → Engaging, accurate, SEO-friendly technical and marketing content</li><li>Custom AI Solutions → Tailored intelligence for unique business needs</li></ul> Role: Data ScientistWe’re looking for a passionate Data Scientist with 2+ years of experience to join our growing team in Chennai (onsite). What You’ll Do<ul><li>Work with structured & unstructured data to build predictive & analytical models</li><li>Develop actionable insights that directly impact business decisions</li><li>Collaborate with engineers & business teams to deploy data-driven solutions</li><li>Continuously explore, learn, and apply cutting-edge ML/AI techniques</li></ul> What We’re Looking For???? Experience: 2+ years in Data Science / Machine Learning???? Mindset: Enthusiastic, proactive, and always eager to learn????‍????‍???? Team Spirit: Strong communication & collaboration skills???? Skills: Python, SQL, Machine Learning frameworks (Scikit-learn, TensorFlow, or PyTorch), data visualization tools???? Location: Must be available to work onsite in Chennai Why Join Us?<ul><li>Work on impactful, real-world AI applications across industries</li><li>Collaborative, fast-moving environment with continuous learning</li><li>Opportunity to grow with a company that’s scaling rapidly in AI innovation</li></ul>

As a Data Scientist / Research Scientist, you will work on generating cohorts, and developing and validating machine learning models using EHR and clinical datasets. You will be responsiblefor data preprocessing, exploratory analysis, feature engineering, model development, and documentation of your findings. You’ll collaborate closely with domain experts, engineers, and stakeholders to deliver impactful AI solutions for disease prediction and personalized medicine. Key Responsibilities<ul><li>Execute end-to-end data science projects involving clinical data.</li><li>Process and analyze complex datasets, including EHR and other real-world data sources.</li><li>Develop predictive models using machine learning frameworks (e.g., BERT, CNN, etc.).</li><li>Conduct exploratory data analysis and statistical hypothesis testing.</li><li>Communicate findings via well-documented code, reports, and presentations.</li><li>Collaborate with cross-functional teams, including clinicians, engineers, and product managers.</li><li>Stay up-to-date with advances in machine learning, healthcare AI, and relevant research.</li></ul> Required Qualifications<ul><li>PhD or a Master’s degree (with 2–3 years of relevant experience) in Data Science, Biological Sciences, Computational Biology, or a related discipline. Candidates with a degree in Computer Science and demonstrated experience working with biological or clinical data are also encouraged to apply.</li><li>Strong proficiency in Python, especially for data analysis (e.g., pandas, PyTorch, matplotlib, sci-kit-learn).</li><li>Experience working with biological, clinical, or healthcare-related datasets in academia or industry.</li><li>Solid understanding of statistical concepts and ability to apply them practically.</li><li>Strong communication skills with an ability to document and explain technical work clearly.</li></ul> Preferred Qualifications (Nice to Have)<ul><li>Hands-on experience working with real-world or EHR data (structured/unstructured).</li><li>Published or contributed to academic/industry research projects.</li><li>Demonstrated use of programming/coding in research or work projects (GitHub, papers, or project links).</li><li>Familiarity with healthcare data standards such as ICD, CPT, LOINC, HL7, or FHIR.</li><li>Experience with ML pipelines and tools like scikit-learn, TensorFlow, PyTorch, or similar.</li><li>Experience with Git or other version control systems.</li></ul>

Application link: https://forms.gle/k9TcpMJjHeepESav7 *See all roles we’re hiring for ????* *Note: This role is in-person in Indiranagar, Bangalore???? READ ON IF YOU WANT TO…<ul><li>Build a product users LOVE</li><li>Want to create MASSIVE impact</li><li>Want to do the BEST work of your life</li><li>Work with a PASSIONATE and KICK-ASS team, with a vision that will blow your mind</li></ul>❓ ABOUT ARROWHEAD<ul><li>What we are: The most human-like voice AI bot for BFSI</li><li>What we are in more details: See it for yourself through our bot calls below:</li><li>Loan sales call: https://drive.google.com/file/d/1CxbETNMRSba7idz_0IgMxotj3jRjD85q/view?usp=sharing</li><li>Health insurance sales: https://drive.google.com/file/d/156pv9cdWyRrwX7ef5JBt3K28A72_PYEr/view?usp=sharing</li><li>What we’ve done:Proven to be the most human-like bot in the market (Competed in POCs against 6+ other voice AI companies and came out as #1 to win contracts)</li><li>We’ve grown the fastest of any voice AI company in India - in <8 months, working with:</li><li>Banks / NBFCs: Aditya Birla, RBL Bank, Axis Bank, IndusInd Bank, Shriram Finance, Bajaj Auto and others</li><li>Fintechs: Cred, Paytm, Turtlemint, InsuranceDekho, Simpl and others</li><li>Others: Physics Wallah, Tata 1MG, Aakaash Institute, upGrad and others</li><li>Our funds: Just closed our $3 mn seed round ????</li></ul>⭐️ OUR CLIENTS<ul><li>Aditya Birla</li><li>Axis Bank</li><li>Paytm</li><li>Cred</li><li>IndusInd Bank</li><li>Shriram Finance</li><li>Bajaj Auto</li><li>Tata 1MG</li><li>… just to name a few</li></ul>???? WHAT OUR EXISTING TEAM SAYS ABOUT OUR CULTUREArrowhead’s culture is nothing like i’ve seen in any organization I’ve worked at. I actually feel like I can express my ideas and that they will be heard and implemented here. I’ve never felt this empowered before.❤️ GROW TO UNPARALLELED LEVELS ****At Arrowhead, we have a deep focus on being the best - the best product and the best partner to the customer. This is how we’ve gotten to where we are today, and how we will continue to grow to become the largest BFSI-focused voice AI company in Asia.It is not for the faint of heart - you will learn the most, grow the most and do the most you’ve ever done.But you have to be willing to put in that blood, sweat and tears to get there.????‍???? YOUR ROLEWe're looking for a Senior Software Engineer who can architect and build robust infrastructure systems that power our voice AI platform. You'll be the backbone of our technology, ensuring our systems can handle massive scale while maintaining high performance and reliability.Your work will involve:<ul><li>Own end-to-end product development – from requirement gathering and architecture design to implementation and launch, you'll shepherd features through their complete lifecycle.</li><li>Build for massive scale – develop systems that can handle hundreds of thousands of calls per day with high reliability and performance.</li><li>Innovate through research – stay current with cutting-edge technologies, read research papers, and implement state-of-the-art solutions that give us a competitive edge.</li><li>Architect distributed systems – design robust, scalable infrastructure that can handle our growing customer base and evolving product requirements.</li><li>Optimize for performance – identify and resolve bottlenecks to ensure our voice AI delivers natural, real-time conversations without latency issues.</li></ul>???? Why This Role Rocks<ul><li>You'll have a front-row seat to building and scaling cutting-edge voice AI infrastructure.</li><li>You'll get to work on system architecture, performance optimization, and scalability solutions.</li><li>You will be implementing infrastructure that powers conversations with some of India's biggest enterprises (Our voice AI technology is vetted by technical leaders at companies like Paytm).</li><li>You'll have direct impact on product reliability, performance, and the company's technical trajectory.</li><li>You'll build mission-critical systems that enable hundreds of thousands of AI conversations daily.</li></ul>✅ QUALIFICATIONS<ul><li>What We're Looking For</li><li>5+ years experience in data science, machine learning, or related field</li><li>Strong background in natural language processing (NLP) and conversational AI systems</li><li>Experience with speech recognition and text-to-speech technologies</li><li>Proficiency in Python and data science libraries (NumPy, Pandas, scikit-learn)</li><li>Familiarity with deep learning frameworks (PyTorch, TensorFlow, Hugging Face)</li><li>AI & ML SkillsExperience fine-tuning language models (LLMs) for specific domains or tasks</li><li>Expertise in analyzing conversational data at scale and extracting actionable insights</li><li>Knowledge of customer intelligence systems and experience building data-driven applications</li><li>Understanding of speech-to-text optimization and improving transcription accuracy</li><li>Data Engineering & AnalyticsExperience with large-scale data processing (handling hundreds of thousands of conversations)</li><li>Ability to design and implement data pipelines for continuous model improvement</li><li>Knowledge of feature engineering techniques for conversational data</li><li>Experience with A/B testing methodologies to evaluate model improvements</li><li>Familiarity with data visualization tools for presenting insights to stakeholders</li><li>Startup MindsetYou've built and deployed ML models in production environments</li><li>Comfortable with fast-paced environment where you'll own critical data science decisions</li><li>Collaborative approach - you work well with engineering teams, product, and founders</li><li>Growth-minded and excited about building customer intelligence systems that scale</li></ul>???? SOUNDS LIKE YOU?<ul><li>User-obsessed: Users come first, above all else.</li><li>Communication: You over-communicate. You communicate clearly and precisely, both verbally and in writing, including explaining technical concepts.</li><li>Timeliness: You respect timelines and communicate beforehand if there is a blocker</li><li>Ownership: You proactively take initiative to find solutions and focus on what must be done to create success.</li><li>Grit: You pursue challenging goals with passion and courage.</li><li>Intellectual curiosity: You want to constantly push yourself out of your comfort zone to try and learn new things</li><li>Entrepreneurial: You are empowered to take decisions and act on them, treating this startup as your own</li></ul><li> </li>

We are looking for a highly experienced Data Scientist to lead data-driven initiatives and deliver scalable machine learning solutions to complex business problems. The ideal candidate will combine technical depth in ML/AI with strong business acumen, driving impact through advanced analytics, feature engineering, and model deployment. Key Responsibilities<ul><li>Partner with stakeholders to understand business objectives and translate them into data science solutions.</li><li>Lead the end-to-end lifecycle of data science projects — from problem framing, data exploration, and feature engineering to model development, validation, and production deployment.</li><li>Apply advanced ML algorithms (XGBoost, LightGBM, CatBoost, etc.) to solve classification, regression, and forecasting problems.</li><li>Conduct clustering and unsupervised learning (KMeans, DBSCAN, hierarchical clustering) for segmentation, anomaly detection, and pattern recognition.</li><li>Optimize models for accuracy, interpretability, and scalability in production environments.</li><li>Build reproducible, well-documented data science workflows and collaborate closely with engineering teams on deployment.</li><li>Mentor and guide junior data scientists, setting best practices in experimentation, evaluation, and MLOps.</li><li>Communicate findings and recommendations to technical and non-technical stakeholders through compelling visualizations and narratives.</li></ul> Required Skills & Qualifications<ul><li>8–12 years of professional experience in Data Science, Machine Learning, or Applied AI.</li><li>Strong expertise in ML algorithms (XGBoost, LightGBM, CatBoost, ensemble methods).</li><li>Solid experience in feature engineering, data preprocessing, and statistical modeling.</li><li>Proficiency in clustering (KMeans, DBSCAN, etc.) and unsupervised learning techniques.</li><li>Hands-on programming skills in Python (pandas, scikit-learn, NumPy, matplotlib, seaborn).</li><li>Familiarity with MLOps tools, cloud platforms (AWS, Azure, GCP), and version control.</li><li>Strong problem-solving skills with the ability to link analytics outcomes to business impact.</li><li>Excellent communication and leadership skills with experience leading cross-functional projects.</li></ul>

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