Senior Manager

Reposted 3 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, design and deploy machine learning and statistical models, analyze large datasets for actionable insights, collaborate with engineering and product teams to productionize models, communicate results to stakeholders, and mentor junior data scientists.
Summary Generated by Built In
Job Title: Senior Data ScientistLocation: [Insert Location or mention Remote]Department: Data Science / AnalyticsReports To: Head of Data Science / Director of AnalyticsJob Summary:We are seeking a highly experienced and strategic Senior Data Scientist to join our team. In this role, you will lead complex data science projects, develop advanced machine learning models, and provide actionable insights that directly impact business decisions. You’ll work closely with cross-functional teams including product, engineering, and business stakeholders to drive data-driven strategies and innovation.Key Responsibilities:Lead end-to-end data science projects from problem definition to solution delivery.Design and implement machine learning and statistical models to solve business problems.Analyze large, complex datasets to extract actionable insights and support decision-making.Collaborate with engineering teams to deploy models into production environments.Translate business requirements into data science problems and effectively communicate results to non-technical stakeholders.Mentor and guide junior data scientists, reviewing code and sharing best practices.Continuously evaluate and improve model performance, accuracy, and scalability.Stay updated with the latest research and industry trends in data science and AI.Required Skills and Qualifications:5+ years of experience in data science, machine learning, or applied statistics.Advanced proficiency in Python or R, along with data libraries like Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.Strong SQL skills and experience working with large-scale data (structured & unstructured).Experience deploying ML models in production (e.g., using AWS/GCP, Docker, MLflow, etc.).Solid understanding of statistical modeling, hypothesis testing, A/B testing, and time-series analysis.Strong communication and data storytelling skills.Proven ability to manage multiple projects and stakeholders About the TeamEXL is the indispensable partner for leading businesses in data-led industries such as insurance, banking and financial services, healthcare, retail and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry expertise to help our clients turn data into insights, streamline operations, improve customer experience, and transform their business. Our partnerships with clients are built on a foundation of collaboration – and we’ve been chosen as a partner by nine of the top ten leading US insurance companies, nine of the top 20 global banks, and six of the top ten US health care payers. We function as one team to make your goals our goals, whether that’s unlocking the value of generative AI or embedding analytics into workflows that reduce risk or power your growth. Clients choose EXL as their transformation partner for many reasons. Our geographic diversity make talent all over the world instantly accessible. Digital accelerators enable unmatched speed-to-value, letting you realize results fast. It’s our people that truly set us apart, though, including the 1,500 data scientists we have dedicated to our generative AI practice. And our more than twenty years of experience in delivering business services, garnering stellar client references, and maintaining a solid balance sheet are reassuring to our C-suite clients. Find out for yourself why clients, employees, and analysts think we’re some of the best in the business. Contact us to see how we can help you achieve your goals.

Skills Required

  • 5+ years of experience in data science, machine learning, or applied statistics.
  • Advanced proficiency in Python or R and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch.
  • Strong SQL skills and experience working with large-scale structured and unstructured data.
  • Experience deploying ML models in production using platforms/tools like AWS, GCP, Docker, MLflow.
  • Solid understanding of statistical modeling, hypothesis testing, A/B testing, and time-series analysis.
  • Strong communication and data storytelling skills to present results to non-technical stakeholders.
  • Proven ability to manage multiple projects and stakeholders.
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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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