×
Register Here to Apply for Jobs or Post Jobs. X

Senior Data Scientist-Mobility

Job in Bengaluru, 560001, Bangalore, Karnataka, India
Listing for: S&P Global
Full Time position
Listed on 2026-02-15
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Location: Bengaluru

This job is with S&P Global, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

About the Role:

Grade Level (for internal use):
10  S&P Global  has recently announced the intent to separate our Mobility Segment into a standalone public company.
For more information, visit
The Team:
At S&P Mobility, we are transitioning to a machine-driven "Augmented Strategist" model, shifting the forecast paradigm from data entry to intelligent oversight. We are seeking a Data Scientist to build our Next Gen Forecast Platform, designed to empower experts to move beyond curation and focus on high-impact strategy and exception management.
You will not just build models; you will architect the logic that powers the global automotive demand and supply chain, ensuring that every AI-generated decision is transparent, explicable, and rigorous.
Innovate, Don't Just Optimize:  You are not just tweaking parameters. You are helping to build a system that understands the difference between a "Production Constraint" and a "Demand Drop".

Strategic Impact:  Your work will directly support the automaker strategy, enabling high-stakes decisions on global profit and volume trade-offs.

Mentorship:  Work alongside our Senior Data Scientist and mentor junior talent, fostering an environment where diverse perspectives fuel the "Touchless" revolution.

Responsibilities and Impact:
You will contribute to the development of a unified forecasting ecosystem that blends advanced econometrics with Advanced AI.
Simulation engine
Beyond Standard Regression:  By ingesting market drivers, price and volume, your models will allow strategists to adjust input parameters rather than manual outputs, automatically calculating the resulting demand based on the math, rather than human intuition alone.

Demand elasticity:  Develop algorithms that ingest diverse market signals-from pricing shifts to macro-economic indicators-to simulate demand elasticity.

Pattern Recognition:  Utilize Machine Learning to better identify the competitive sector.

GenAI Integration
Intelligent Querying:  Refine and scale the existing hybrid systems (Rule-Based + LLM) that replace complex filtering with natural language search, finalizing the transition to fully accessible data for non-technical stakeholders.

Model Context Protocol (MCP):  We are moving away from "Black Box" predictions. You will implement the MCP to standardize how our GenAI agents interface with data, ensuring full lineage and explicability for every output.

Scenario Architecting:  Build LLM-driven agents capable of translating natural language intent into mathematical adjustments, allowing users to simulate complex geopolitical or economic scenarios via text.

Constraint-Based Optimization
Feasibility Logic:  Design the "Gatekeeper" logic that ensures forecasts respect physical realities, such as infrastructure limitations, regulatory bans, and production capacities.

Supply-Chain Optimization:  Contribute to the development of solvers that balance sales demand against supply chain constraints to optimize global profitability.

What we are looking for:

Required Qualifications:

Education:

Master's in data science, Computer Science, Econometrics, or Statistics.

Experience:

5+ years of professional experience in developing machine learning models and predictive systems.

Core ML & Python:  Strong proficiency in Python (scikit-learn, Tensor Flow/PyTorch) with experience in ensemble methods (e.g., XGBoost/Random Forest).

GenAI & Protocols:  Hands-on experience with LLMs and RAG architectures.

Forecasting Aptitude:  

Experience with demand forecasting, price elasticity modelling, or time-series analysis.

Communication:  The ability to explain complex logic to business stakeholders, turning it into transparent insights.

Business :
Experience in the automotive sector is a plus.

About S&P Global Mobility
At S&P Global Mobility, we provide invaluable insights derived from unmatched automotive data, enabling our customers to anticipate change and make decisions with conviction. Our expertise helps them to optimize their businesses, reach the…
Position Requirements
10+ Years work experience
Note that applications are not being accepted from your jurisdiction for this job currently via this jobsite. Candidate preferences are the decision of the Employer or Recruiting Agent, and are controlled by them alone.
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)

Job Posting Language
Employment Category
Education (minimum level)
Filters
Education Level
Experience Level (years)
Posted in last:
Salary