Data Scientist

Reposted 19 Days Ago
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Gurugram, Haryana, IND
Hybrid
Senior level
Information Technology • Database • Consulting
The Role
Lead end-to-end data science projects: collate, clean, feature engineer, design and train models (predictive, prescriptive, NLP), validate results, mentor juniors, manage client deliverables, and translate business needs into analytical solutions.
Summary Generated by Built In

Senior Data Scientists lead data analysis projects and provide strategic insights. Responsibilities include designing complex models, mentoring junior data scientists, and ensuring the quality of analytical work. You will work closely with business leaders to understand needs and deliver actionable insights. Extensive experience in data science and leadership skills are required.

Responsibilities

· Data collation, processing, cleaning & transformation along with feature engineering and model development.

· Hands-on with model training, evaluation & fine tuning.

· Ensure output’s thorough quality check & provide analytics driven insights and next steps in involved project(s)

· Actively own & manage client deliverables.

· Effectively engage with client & translate client business requirements into equivalent analytical problems.

· Understand data and different platforms used by the client.

· Actively contribute towards design methodology for problem solving.

· Analyze large & complex data sets to derive valuable insights.

Qualifications

· Relevant experience in data science/ data analytics role with an end-to-end understanding of ML based project’s development & implementation

· Proficient in building and deploying Machine Learning (Predictive & Prescriptive modelling), NLP

· Proficient in tools / languages like SQL, Python, MS Excel, and Visualization basics

· Good understanding of Probability & Statistics

· Hands-on experience in Azure is a plus

· Bachlors/ Masters degree 
 

Skills Required

  • Relevant experience in data science/data analytics with end-to-end ML project development and implementation
  • Proficient in building and deploying Machine Learning models (Predictive & Prescriptive) and NLP
  • Proficient in SQL, Python, Microsoft Excel, and data visualization basics
  • Good understanding of Probability and Statistics
  • Hands-on experience in Azure
  • Bachelor's or Master's degree
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The Company
HQ: New York, NY
30,246 Employees
Year Founded: 1999

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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