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 strong 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.
- 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.
Skills Required
- 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.
- 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.
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
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