355 jobs for "Senior Scientist"

Senior Software Engineer/Data Scientist

At The Hartford - Hyderabad

Posted on Oct 13

View job Apply on company site

Senior Decision Scientist

At Salesforce - San Francisco · Seattle

Posted on Nov 4

View job Apply on company site

Senior Engineer - Decision Scientist

At Toyota North America - Plano

Posted on Oct 31

View job Apply on company site

Data Scientist Senior - Internal Audit

At PNC - Pittsburgh

Posted on Nov 3

View job Apply on company site

Data Scientist - Senior

At Cummins - Pune

Posted on Nov 3

View job Apply on company site

Senior Research Scientist

At General Motors - Sunnyvale

Posted on Nov 6

View job Apply on company site

Data Scientist (Small Business Product) - Senior Associate

At JPMorgan Chase - New York · Columbus

Posted on Nov 3

View job Apply on company site

Senior Data Scientist

At Navy Federal Credit Union - Pensacola

Posted on Nov 3

View job Apply on company site

Senior Applied Machine Learning Scientist (predictive analytics)

At TD Bank - Toronto

Posted on Oct 14

View job Apply on company site

Senior Scientist (Immunochemistry)

At Labcorp

Posted on Oct 30

View job Apply on company site

Senior Data Scientist - TS/SCI Clearance Required

At Deloitte - Tampa

Posted on Oct 28

View job Apply on company site

Senior Associate, Data Scientist - Business Cards Marketing Data Science

At Capital One - New York

Posted on Nov 1

View job Apply on company site

Data Scientist Senior - Modeling & Customer Analytics

At PNC - Pittsburgh

Posted on Oct 29

View job Apply on company site

Senior Data Scientist - TikTok Ads (Multiple Positions)

At TikTok - San Jose

Posted on Oct 19

View job Apply on company site

Senior Data Scientist - Special Projects

At Apple - Cupertino

Posted on Oct 19

View job Apply on company site

Senior Scientist, Chemical Process Development

At Biogen - Cambridge

Posted on Oct 26

View job Apply on company site

Senior Machine Learning Scientist, Recommendation (Multiple Positions)

At TikTok - San Jose

Posted on Oct 19

View job Apply on company site

Senior Machine Learning Scientist - Ad Campaign Optimization

At Apple - Cupertino

Posted on Oct 19

View job Apply on company site

Data Scientist Senior - Modeling & Customer Analytics

At PNC - Pittsburgh

Posted on Oct 27

View job Apply on company site

Data Scientist Senior Associate

At JPMorgan Chase - Bengaluru

Posted on Oct 28

View job Apply on company site

The Hartford

Senior Software Engineer/Data Scientist

Hyderabad, IndiaPosted 28 days ago

Apply on company site View full job

IND Lead Software Engineer - GCC093
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.

Position Overview
The Data Scientist is responsible for building and deploying analytical and machine learning solutions that address complex business and regulatory needs. The role works closely partners across Product, Underwriting, and Risk to deliver scalable, secure, and production-ready solutions.
Successful candidates combine solid statistical modeling and ML fundamentals, strong Python skills, and a growing ability to communicate analytical outcomes to business partners. This role is well-suited for someone who brings intellectual curiosity, a bias toward action, and a collaborative mindset, and who is looking to deepen their modeling expertise while taking on increasing responsibility over time.Key Responsibilities
• Modeling & Evaluation: Build and evaluate models using GLMs, GBMs, and related approaches. Assess model performance and stability, diagnose overfitting, and document findings clearly for technical and non-technical audiences.
• Third-Party Data & Vendor Support: Assist in managing third-party data relationships, including data intake, validation, and iterative testing. Engage with external vendors to resolve discrepancies and ensure data quality.
• Business Partnership & Communication: Collaborate with business stakeholders to understand analytical objectives and contribute to translating results into clear recommendations. Develop comfort presenting findings and explaining tradeoffs to partners with varying levels of technical fluency.
• Analytical Execution: Contribute to process improvement and automation efforts to reduce manual effort and increase analytical throughput. Support work across multiple lines of coverage with attention to rigor and consistency.
• Monitoring & Governance: Help define and track metrics for classification, forecasting, and business KPIs. Support A/B testing, monitor for drift, and contribute to compliance, privacy, and responsible modeling standards.
• Continuous Learning: Stay current on developments in ML, statistical modeling, and best practices. Build familiarity with the broader analytical toolkit and contribute to reusable templates and documentation.Required Skills & Experience
Experience Range - 4 to 6 Years

Modeling & Statistics
• Working knowledge of GLMs and GBMs in Python, with an understanding of when each approach is appropriate (e.g., GBMs for exploration and interaction detection; GLMs for interpretability and implementation readiness).
• Ability to assess model stability, identify overfitting, and communicate results and tradeoffs clearly.
• Familiarity with ML lifecycle best practices including documentation, version control (GitHub), and experiment tracking (e.g., MLflow).
Data & Vendor Support
• Experience with data validation, quality checks, and working across multiple data sources simultaneously.
• Comfortable engaging with external vendors or data providers to ask clarifying questions and resolve data issues.
Business Communication
• Ability to present analytical findings clearly to both technical and non-technical audiences.
• Developing skill in translating model results into actionable recommendations, including communicating uncertainty or limitations honestly.
Technical Foundations
• Bachelor's or Master's degree in Computer Science, Mathematics, Data Science, or a closely related discipline.
• Experience in statistical modeling and machine learning using Python (pandas, NumPy, scikit-learn) with strong SQL skills.
• Across the modeling lifecycle: problem framing, experiment design, evaluation, and validation.
• Experience using Git and Unix-based development environments with reproducible analytical workflows.
• Familiarity with model monitoring concepts including drift detection and performance tracking.
• Some exposure to cloud-based platforms (Vertex AI, SageMaker, or Azure ML) is a plus.
• Familiarity with enterprise governance expectations including compliance, privacy, and model documentation standards.Nice to Have
• Experience in regulated modeling environments, including documentation and approval workflows.
• Familiarity with insurance pricing, segmentation, or rating variables.
• Familiarity with bias/fairness testing and model risk documentation.
• Exposure to generative AI or LLM concepts (RAG, prompt engineering, agentic workflows).

About The Hartford

We focus on innovation, inclusion, equity and flexibility – and are committed to giving our employees what they need to achieve amazing things.

Size: 10,000+ employees
Industry: Insurance

View company profile