- Collaborate with the client in the sport sector to understand their business objectives and challenges and ensure the delivery of high-quality analytics/data science solutions.
- Design and build end to end machine learning solutions and statistical frameworks across fan behavior.
- Own the full modeling lifecycle: problem framing, feature engineering, model selection, cross validation and hyperparameter tuning
- Lead recurring analytical programs with a focus on reproducibility and automation.
- Partner with data engineering to integrate model outputs into operational systems and stakeholder facing products.
- Utilize your strong analytical and problem-solving skills to extract meaningful insights from data and contribute to data-driven decision-making.
- Use variety of analytical tools (SQL, Python) and techniques (regression, decision trees, machine learning concepts etc.) to carry out analyses, create ML models and drive conclusions.
- Support the integration of data science capabilities for the client to help solve tangible problems with measurable impact.
- Contribute to the continuous improvement of analytics processes and methodologies.
Core Skills (Required):
- Bachelor’s degree in economics, mathematics, computer science/engineering, operations research or related analytics areas
- 2+ years of hands-on experience in a data science role with a track record of shipping models into production.
- Extremely proficient in SQL for robust data extraction and analysis.
- Strong programming skills in Python.
- Familiarity with Git and code/data version control.
- Solid statistical foundation
- Exposure to NLP techniques for processing unstructured survey data.
- Excellent communication, problem-solving, and critical thinking skills.
- Self-started and willingness to take on challenging initiatives
- Effective time management and attention to detail
- Familiarity with MLOps concepts
Qualifications (Preferred):
- Master's degree in a relevant field (e.g., Data Science, Analytics, Business Analytics).
- Industry experience in Sports or Media.
- Familiarity with additional data analysis and visualization tools.
- Advanced statistical analysis and modeling skills.
- Familiarity with data science governance practices
Skills Required
- Bachelor's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas
- 2+ years of hands-on experience in a data science role with a track record of shipping models into production
- Extremely proficient in SQL for robust data extraction and analysis
- Strong programming skills in Python
- Familiarity with Git and code/data version control
- Solid statistical foundation
- Exposure to NLP techniques for processing unstructured survey data
- Excellent communication, problem-solving, and critical thinking skills
- Self-started and willingness to take on challenging initiatives
- Effective time management and attention to detail
- Familiarity with MLOps concepts
- Master's degree in a relevant field (e.g., Data Science, Analytics, Business Analytics)
- Industry experience in Sports or Media
- Familiarity with additional data analysis and visualization tools
- Advanced statistical analysis and modeling skills
- Familiarity with data science governance practices
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.
