05 Aug
|
EXL Service
|
India
Job Description: EXL is seeking an experienced and driven Data Scientist to support advanced analytics initiatives for our global clients. This role focuses on developing predictive models, extracting insights from large-scale datasets, and translating analytical findings into actionable business strategies. The ideal candidate brings deep technical expertise, hands-on modelling experience, and a solid ability to communicate results to both technical and business stakeholders.
- Responsibilities: Develop and deploy advanced statistical and machine learning models to solve diverse business problems across client engagements.
- Translate complex business challenges into analytical frameworks and deliver high-impact insights that influence strategy and operations.
- Analyze large, complex datasets using Python, SQL, PySpark, and statistical tools to surface meaningful patterns and trends.
- Collaborate with stakeholders across marketing, product, and data teams to understand needs and deliver actionable, data-driven solutions.
- Build dashboards and visualizations that communicate insights clearly to cross-functional teams and senior leadership.
- Stay current with the latest analytics trends and emerging techniques,
continuously elevating the team's analytical approach.
- Contribute to and help establish best practices in model development, validation, and deployment.
Qualifications: What We’re Looking For
- Bachelor's or Master's degree in Statistics, Computer Science, Economics, or a related quantitative field.
- 3–8 years of experience in data science or advanced analytics, with at least 2–3 years in the media or entertainment domain.
- Proficiency in Python, SQL, and ML/statistical libraries such as scikit-learn, XGBoost, and statsmodels.
- Strong storytelling and communication skills, with a track record of presenting analytical findings to business stakeholders.
Ability to independently manage analytics projects end-to-end while collaborating effectively across technical and business teams.
Nice to Have
- Experience deploying models on cloud platforms such as AWS, GCP, or Azure.
- Exposure to Generative AI applications and LLM-assisted analytics workflows.
- Proven ability to work with global stakeholders in cross-functional, matrixed environments.
- Familiarity with productionizing models and partnering closely with MLOps or engineering teams.
📌 Senior Manager (India)
🏢 EXL Service
📍 India