Job Description

Designation: Assistant Manager - Data Science

Level: L3

Experience: 5 to 10 years

Location: Chennai

:

We are seeking a highly skilled and motivated Senior Data Scientist who thrives in a dynamic environment and is ready to take on challenging, high-impact projects in a fast-growing, collaborative team working at the cutting edge of analytics in the Financial Services domain.

Responsibilities:

Partner with stakeholders to translate complex business requirements into Machine Learning problem statements. Work with cross-functional teams to ensure data availability, quality, and accessibility. Design, build, and deploy scalable Machine Learning and Deep Learning models, particularly for heavily imbalanced datasets. Collaborate with the MLOps team to develop robust data pipelines and ensure seamless model integration. Present findings and insights to senior stakeholders in a clear, business-friendly manner. Mentor and guide junior analysts, helping cultivate a strong data-driven culture within the team.

Skills:

5 - 10 years of experience in data science and machine learning. Highly proficient in SQL for data preparation and manipulation. Highly proficient in Python and in developing and deploying Machine Learning and Deep Learning models. Ability to interpret model outputs and translate data into actionable business strategies. Excellent communication and interpersonal skills to work across functions and present to diverse stakeholders. Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.

Nice to Have Skills:

Experience in using Pyspark for implementing and deploying the models. Experience in payments domain and fraud modeling using feedzai. Exposure to MLOps and model deployment in a production environment using AWS with experience in S3, Sagemaker, Feature Store, Cloudwatch, Event bridge, Athena.
Experience working with Gitlab

Job Snapshot

Updated Date
23-07-2025
Job ID
J_3908
Location
Chennai, Tamil Nadu, India
Experience
5 - 10 Years
Employee Type
Permanent