Job Description

Senior ManagerEXL/SM/1482757


ServicesGurgaon
Posted On
16 Sep 2025
End Date
31 Oct 2025
Required Experience
8 - 12 Years



Basic Section
Number Of Positions


1


Band


C2


Band Name


Senior Manager


Cost Code


D009870


Campus/Non Campus


NON CAMPUS


Employment Type


Permanent


Requisition Type


New


Max CTC


1500000.0000 - 2500000.0000


Complexity Level


Not Applicable


Work Type


Hybrid - Working Partly From Home And Partly From Office


Organisational
Group


Analytics


Sub Group


Retail Media & Hi-Tech


Organization


Services


LOB


Services


SBU


Analytics


Country


India


City


Gurgaon


Center


EXL - Gurgaon Center 38




Skills
Skill


DATA SCIENCE


Minimum Qualification


B.COM


Certification


No data available

Job Title:

Senior Data Scientist

Location:

[Insert Location or mention Remote]

Department:

Data Science / Analytics

Reports To:

Head of Data Science / Director of Analytics

Job Summary:

We are seeking a highly experienced and strategic

Senior Data Scientist

to join our team. In this role, you will lead complex data science projects, develop advanced machine learning models, and provide actionable insights that directly impact business decisions. You'll work closely with cross-functional teams including product, engineering, and business stakeholders to drive data-driven strategies and innovation.

Key Responsibilities:

Lead end-to-end data science projects from problem definition to solution delivery. Design and implement machine learning and statistical models to solve business problems. Analyze large, complex datasets to extract actionable insights and support decision-making. Collaborate with engineering teams to deploy models into production environments. Translate business requirements into data science problems and effectively communicate results to non-technical stakeholders. Mentor and guide junior data scientists, reviewing code and sharing best practices. Continuously evaluate and improve model performance, accuracy, and scalability. Stay updated with the latest research and industry trends in data science and AI.

Required Skills and Qualifications:

5+ years of experience in data science, machine learning, or applied statistics. Advanced proficiency in

Python

or

R

, along with data libraries like

Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch

, etc. Strong SQL skills and experience working with large-scale data (structured & unstructured). Experience deploying ML models in production (e.g., using AWS/GCP, Docker, MLflow, etc.). Solid understanding of statistical modeling, hypothesis testing, A/B testing, and time-series analysis. Strong communication and data storytelling skills. Proven ability to manage multiple projects and stakeholders
Workflow
Workflow Type


Back Office