EXL

Data Scientist

EXL  •  Republic of India (Onsite)  •  5 hours ago
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Job Description

We are looking for an internal candidate to take on an advanced Data Science role focused on Classical Machine Learning, Natural Language Processing (NLP), and Deep Learning solutions. This role will drive the design, development, and deployment of intelligent data-driven models that enhance business workflows such as claims processing, underwriting, customer servicing, risk assessment, and decision automation.

The ideal candidate combines strong data science fundamentals with hands-on experience in supervised and unsupervised learning, deep learning architectures, NLP techniques, and scalable model deployment, and is eager to build robust, production-grade AI and analytics solutions.

  • Expected to work in close collaboration with the Client team and EXL team on establishing relationship with stakeholders, identify new opportunities, areas of growth
  • Develop long-lasting, trusted advisor relationships with clients
  • Analyze structured and unstructured data from a number of drivers in the interest of solving specific questions/problems with processes in the various functional areas
  • Ensure Industry best practices are followed, Communicate and follow up with delivery team
  • Brainstorming on pain areas/Identifying reasons for issues/Issue Resolution, diagnosis of inefficiencies in the current process and figuring out ways to resolve it
  • Facilitate client working sessions and lead recurring project status meetings
  • A typical work day will involve working with stakeholders as individual contributor.
  • Bachelor’s/Master's degree in Economics, Mathematics, Computer Science/engineering or related Analytics areas
  • 3+ years of experience in Advanced Analytics/Predictive Modeling.
  • Must have experience in managing clients directly
  • Experience in HR Analytics is a plus
  • Good analytical and problem-solving skills
  • Should be able to work on a problem independently and prepare client ready deliverables.
  • Complete understanding and demonstrated experience of Python and various modeling techniques
  • Experience in advanced analytics / Machine learning / statistical / data mining / Text mining techniques
  • Experience in developing and deploying Machine Learning models (Regression, Classification, tree based algorithms, clustering and Natural Language Processing).
  • Extensive experience with Python packages for data analysis (pandas, numpy, scikit-learn, statsmodels, matplotlib, seaborn)
  • Effective at building SQL queries
  • Use of visualization in Python using matplotlib or PowerPoint/Excel
  • Experience in Time series, Network or Graph analysis, Large Language models/Transformers/chatbots is good to have
  • Experience with cloud computing and cloud based tools like Databricks is good to have
  • Follow industry best practices for Python coding and model development and deployment
  • Strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work
  • Strong ability to distill technical findings and share insights
  • Outstanding written and verbal communication skills
  • Able to work in fast pace continuously evolving environment and ready to take up uphill challenges
  • Is able to understand cross cultural differences and can work with clients across the globe

What we offer:

  • EXL Analytics offers an exciting, fast paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions. From your very first day, you get an opportunity to work closely with highly experienced, world class analytics consultants.
  • You can expect to learn many aspects of businesses that our clients engage in. You will also learn effective teamwork and time-management skills - key aspects for personal and professional growth
  • Analytics requires different skill sets at different levels within the organization. At EXL Analytics, we invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques.
  • We provide guidance/ coaching to every employee through our mentoring program wherein every junior level employee is assigned a senior level professional as advisors.
  • Sky is the limit for our team members. The unique experiences gathered at EXL Analytics sets the stage for further growth and development in our company and beyond.
EXL

About EXL

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.

Industry
Consulting & Advisory
Company Size
10,000+ employees
Headquarters
New York, NY
Year Founded
Unknown
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