Job Description

Tamil Nadu, Chennai, Tamil Nadu, India








Department
D&AI-EHRL & SST support
Job posted on
Jul 20, 2025
Employment type
White Collar

Job Title: Principal Data Scientist

Location: Chennai

:

The ideal candidate will have a strong background in data analytics, statistics, programming, and data visualisation, as well as experience using data to generate actionable insights, drive business decisions, and productionize machine learning models. The candidate will be responsible for working with cross-functional teams to identify opportunities for leveraging data to solve business problems, developing and implementing analytical models, and productionizing models for deployment in a production environment.

Responsibilities:

Work with cross-functional teams to identify opportunities for leveraging data to solve business problems
Collect, clean, and transform data from various sources
Analyse and interpret large datasets using statistical techniques and data visualisation tools
Develop and maintain predictive models using Python
Evaluate the performance of analytical models and make recommendations for improvements
Productionize machine learning models for deployment in a production environment
Develop and maintain code for model deployment, monitoring, and retraining
Explain the model to both technical and non-technical stakeholders, including the model assumptions, limitations, and potential impact on the business
Communicate insights and model explanations to both technical and non-technical stakeholders using compelling data visualisations and storytelling techniques
Develop presentations and reports to share insights and model explanations with senior management and other stakeholders

Requirements:

Master's or Ph.D. degree in Computer Science, Engineering, Statistics, Mathematics, or related field
At least 8+ years of experience working as a data scientist or similar role
Strong programming skills in Python
Strong understanding of statistical analysis techniques and data visualization tools
Experience working with large datasets, including data cleaning, transformation, and visualization
Experience productionizing machine learning models for deployment in a production environment
Excellent communication skills, with the ability to effectively communicate insights and model explanations to both technical and non-technical stakeholders
Strong problem-solving skills and attention to detail
Ability to work collaboratively in a team environment

Expectation for lead/principal DS

30 days of joining

Understand the residential real estate business process Understand the various ML models that are deployed across the customer lifecycle Understand the SFDC source system Understand the Azure ML services Get familiar with the vendor partners for augmented analytics Take part in the weekly cadence with business teams

60 days of joining

Take end-to-end ownership of all the ML models Drive ML adoption with the business teams by sharing the insights both at the aggregate & lead levels Identify any gaps, if any, and either retrain or redevelop the ML models.

Behavioral competency

Owns deliverables end-to-end; takes responsibility for both success and failure.

Drives cross-functional alignment, even when not directly managing stakeholders.

Can clearly explain complex models and insights to non-technical stakeholders.

Makes progress in ambiguous, noisy, or incomplete data environments.

Believes in experimentation, feedback loops, and continuous improvement.

Breaks down problems methodically rather than relying on templates.

Tech stack:

1. Databricks
2. Azure microservices - Azure functions for model deployment
3. Visual basic code ide
4. Jupyter notebook
5. Python
6. Sql & Pyspark for data processing
7. Github for model versioning and setting up CICD pipelines