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Sub VH - Analytics

Pay
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Work setting
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Employment
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What you’ll bring

All qualifications

Core experience

  • Bachelor’s degree in Engineering, Mathematics, Statistics, Computer Science, or related field.
  • 15–20+ years in Analytics, Data Science, Business Intelligence, Data Management, or Digital Transformation, with at least 8 years in senior leadership roles.
Qualification wording
Bachelor’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.
Education & alternatives
Qualifications Bachelor’s degree in Engineering, Mathematics, Statistics, Computer Science, or related field. MBA or Master’s degree preferred. Experience
Apply at abgcareers

Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 10, 2026today
Recorded sightings
1
Employer says posted
Sep 8, 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

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.

abgcareers is hiring

26 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

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
  • R
  • SQL
  • Power BI
  • Tableau
Where the posting names them
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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Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 5% over the last 6 weeks compared with the 6 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 1,408, the most 2,964, and the latest week had 2,139.
August 17Last week

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.

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

View original posting ↗

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.

Source details

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Pay

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Location & working pattern

Maharashtra, India

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