Bachelor’s or Master’s degree in Computer Science, Data Science,
Machine Learning, or a related field.
Proven experience as a Data Scientist with a focus on generative AI and
large language models.
Proficiency in programming languages such as Python, R, or Java.
Experience with machine learning frameworks and libraries (e.g.,
TensorFlow, PyTorch).
Strong understanding of natural language processing (NLP) and deep
learning techniques.
Excellent problem-solving
Key Responsibilities:
Develop, refine, and implement advanced generative AI models to
generate insights from complex structured and unstructured data sets.
Collaborate with cross-functional teams to design and deploy generative
AI solutions that address business challenges.
Fine-tune and build large language models (LLMs) and other generative
AI models.
Lead the integration of generative AI into business processes, ensuring
seamless adoption and implementation.
Conduct research to stay current with the latest advancements in
generative AI and machine learning.
Present findings and strategic recommendations to stakeholders,
translating complex technical concepts into actionable insights.
Develop white papers, blogs, and presentations to share knowledge
Key Responsibilities:
Develop, refine, and implement advanced generative AI models to
generate insights from complex structured and unstructured data sets.
Collaborate with cross-functional teams to design and deploy generative
AI solutions that address business challenges.
Fine-tune and build large language models (LLMs) and other generative
AI models.
Lead the integration of generative AI into business processes, ensuring
seamless adoption and implementation.
Conduct research to stay current with the latest advancements in
generative AI and machine learning.
Present findings and strategic recommendations to stakeholders,
translating complex technical concepts into actionable insights.
Develop white papers, blogs, and presentations to share knowledge
Skills Required
- Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field
- Proven experience as a Data Scientist focused on generative AI and large language models
- Proficiency in Python, R, or Java
- Experience with machine learning frameworks and libraries such as TensorFlow or PyTorch
- Strong understanding of natural language processing and deep learning techniques
- Excellent problem-solving skills
EXL Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about EXL and has not been reviewed or approved by EXL.
-
Healthcare Strength — Medical plan options include HSA, HRA, and PPO choices, with additional health-related programs such as disability coverage and an employee assistance program. Feedback suggests these options provide meaningful flexibility and coverage breadth for many roles.
-
Leave & Time Off Breadth — Up to 20 days of paid time off, plus federal holidays and paid sick and safe time, are highlighted. Feedback suggests this leave structure is a notable benefit alongside core compensation.
-
Retirement Support — A traditional and Roth 401(k) with up to a 3% company match and full vesting after one year is described. Feedback suggests this match and vesting timeline help bolster long-term savings.
EXL Insights
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.
