Time since we first saw it
Day 151
Up longer than most. Similar jobs usually come down between day 7 and day 55.
From 9,988 similar postings that came down. Coming down is not always a hire.
Senior Software Engineer/Data Scientist
India GCC-Puppalaguda Village
Open 5 months, first seen by us 151 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingBuild and evaluate GLM and GBM models, documenting findings for technical and non-technical audiences
Assess model performance and stability and diagnose overfitting
Validate third-party data and resolve discrepancies with external vendors
Translate model results into recommendations for business stakeholders
Support A/B testing, drift monitoring, and compliance standards
From the employer’s posting
Build and evaluate models using GLMs, GBMs, and related approaches.
Assess model performance and stability, diagnose overfitting
Engage with external vendors to resolve discrepancies and ensure data quality.
Collaborate with business stakeholders to understand analytical objectives and contribute to translating results into clear recommendations.
Support A/B testing, monitor for drift, and contribute to compliance, privacy, and responsible modeling standards.
Education & alternatives
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.
Posting record
Report an errorOpen 5 monthsWe first saw this posting 151 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 6, 2026151 days ago
- Recorded sightings
- 310
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
The Hartford is hiring
23 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring is picking up
- Takes jobs down at a usual pace
- 9% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Azure
- MLflow
- SageMaker
- NumPy
- pandas
- scikit-learn
Where the posting names them
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.
- 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.
- 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.
- 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
Your next step
Complete your application on thehartford.wd5.myworkdayjobs.com. The employer’s form will show what is required.
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Already applied? Track this application
Has The Hartford posted this job before?
Yes. We’ve followed one other Senior Software Engineer/Data Scientist job there since May 2026. It is still up.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
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.
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.
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.
- 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).
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
India GCC-Puppalaguda Village
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.