Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 7 and day 57.
From 10,815 similar postings that came down. Coming down is not always a hire.
Maharashtra, India
Actively hiring, first seen by us todayBachelor’s degree in Engineering, Mathematics, Statistics, Computer Science, or related field. MBA or Master’s degree preferred.
15–20+ years in Analytics, Data Science, Business Intelligence, Data Management, or Digital Transformation, with at least 8 years in senior leadership roles. Prior Insurance/BFSI experience preferred.
Qualifications Bachelor’s degree in Engineering, Mathematics, Statistics, Computer Science, or related field. MBA or Master’s degree preferred. Experience
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 0
Early. Similar jobs usually come down between day 7 and day 57.
From 10,815 similar postings that came down. Coming down is not always a hire.
26 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd 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.
Technical Expertise Enterprise Data Strategy, AI/ML, Generative AI, Predictive Modeling, Cloud Analytics Platforms, Data Governance, Data Lakes, Power BI/Tableau, SQL, Python, R, MLOps, and Customer Analytics. Leadership Competencies
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New Data Scientist postings at the employers we follow are down 5% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
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.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
ey Responsibilities
• Define and execute enterprise analytics and data strategy aligned with business objectives.
• Build a data-driven culture across Sales, Distribution, Operations, Claims, Underwriting, Customer Experience, Finance, and HR.
• Lead AI, machine learning, predictive analytics, and GenAI initiatives.
• Establish enterprise data governance, quality, and management frameworks.
• Act as a strategic advisor to executive leadership.
• Build and lead a high-performing Analytics & Data Science Center of Excellence.
• Partner with the CTO to shape technology and data platforms.
• Drive measurable business outcomes through analytics-led interventions.
Desired Outcomes
• Enterprise-wide adoption of analytics and AI.
• Improved customer retention and persistency.
• Enhanced sales productivity and channel effectiveness.
• Reduced operating costs through automation and process optimization.
• Strong data governance and a single source of truth for reporting.
Qualifications
Bachelor’s degree in Engineering, Mathematics, Statistics, Computer Science, or related field. MBA or Master’s degree preferred.
Experience
15–20+ years in Analytics, Data Science, Business Intelligence, Data Management, or Digital Transformation, with at least 8 years in senior leadership roles. Prior Insurance/BFSI experience preferred.
Technical Expertise
Enterprise Data Strategy, AI/ML, Generative AI, Predictive Modeling, Cloud Analytics Platforms, Data Governance, Data Lakes, Power BI/Tableau, SQL, Python, R, MLOps, and Customer Analytics.
Leadership Competencies
Strategic Thinking, Executive Presence, Business Partnership, Change Leadership, Innovation Mindset, Stakeholder Management, Talent Development, and Program Leadership.
Success Metrics
Business value delivered through analytics, adoption of AI initiatives, KPI improvements, data governance maturity, user adoption of analytics platforms, and analytics ROI.
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Maharashtra, India
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.