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Lead - Acquisition & New Engagements, Partnerships Analytics

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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
Oct 28, 2026

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From 10,815 similar postings that came down. Coming down is not always a hire.

abgcareers is hiring

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

Hiring record

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  • Python
  • R
  • SAS
Where the posting names them
Education in Quantitative Sciences, Statistics, Mathematics, Engineering etc Strong Interpersonal Skills, Team player, Leadership skills, excellent written & verbal communication skill etc. Expert in coding skill in R, Python or SAS and any data visualization tool, KRA's -
- Help in implementing the model - Knowledge in Python, R, SAS programming language and cloud infrastructure

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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 ↗

Job Purpose:

Responsible to review and development of statistical model, validate the model and other data analysis and to deliver regular analytical requirement seamlessly specifically for credit and risk functions.

Key Challenges

  • Establishing the Data and Analytics practices
  • Team building and bonding
  • Enable data driven decision making culture
  • Stakeholder management and Cross team interactions
  • Handle first level of escalation
  • Liaise with business team and work for business goal
  • Thorough understanding of housing finance business and collections lifecycle
  • Help the business partners to grow the business   

 

Enabling Skill Sets & Qualifications

Education in Quantitative Sciences, Statistics, Mathematics, Engineering etc

Strong Interpersonal Skills, Team player, Leadership skills, excellent written & verbal communication skill etc. Expert in coding skill in R, Python or SAS and any data visualization tool, 

KRA's - 

Key Result Areas  (Max 1325 Characters)

Supporting Actions (Max 1325 Characters)

Understanding the challenges faced by the business and translate that into a data problem

  • Asking right questions
  • Find the answers through data

Ability to work with multiple data sources

  • Handle data in various formats easily, including both structured and unstructured data Guide the company towards becoming a data driven organization 

Collaborate with internal stakeholders

  • Proactively build and maintain relationships with key internal stakeholders for smooth cross-functional coordination and alignment towards achievement of business objectives
  • Strong cross functional engagements including support functions like IT, etc. 
  • Validate, interpret, and create reports and presentations for departmental heads/management, and relevant stakeholders. 

Team management

  • Building of skilled and effective teams in AI, ML & Data related programs 
  • Coach and mentor team members 

Model/ strategy development and validation

  • Statistical Model Development, Validation, and other Data Analysis

Model deployment 

Good understanding of IT infrastructure

  • Help in implementing the model
  • Knowledge in Python, R, SAS programming language and cloud infrastructure

Source details

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Pay

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Location & working pattern

Maharashtra, India

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