oracle
Manager-Data Science-Data Scientist
EXL
Gurugram, IND
Manager · 3–5 years experience
Hybrid
Discovered 2 weeks ago
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About the Role
Data Scientist - Center of Excellence
Key Skills for This Role
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Responsibilities
- · Collaborate with CoE teammates to design and execute time-boxed experiments on high-priority business problems, turning data and AI into business results. · Contribute directly to the delivery of key data science solutions by working on projects that are aligned with the company’s most urgent and impactful business objectives. · Maintain a flexible approach—readily adapting to evolving business priorities and shifting focus to address immediate, high-value deliverables when needed. · Help manage and prioritize the team’s project backlog, balancing innovative opportunities with business needs and timelines. · Analyze results and develop insights that clearly demonstrate ROI and real-world impact for business lines. · Contribute to the standardization and continuous improvement of data science methods, tools, and delivery processes. · Work closely with data scientists, engineers, IT, and business stakeholders—locally and globally—to share knowledge and leverage best practices. · Present findings and recommendations to colleagues and business leaders, ensuring the value and excitement of AI innovations are clearly communicated. · Stay curious and proactive about emerging AI and MLOps trends, bringing fresh ideas back to the team. · Participate in governance and delivery processes to help ensure projects are executed efficiently and deliver maximum value
Qualifications
- · Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field. · 3–5 years of hands-on experience in data science or applied machine learning, ideally in a business or consulting context. · Experience with Python, R, or similar programming languages, and knowledge of common data science tools (e.g., scikit-learn, TensorFlow, PyTorch). · Strong analytical and problem-solving skills, with the ability to translate business questions into AI and data-driven solutions. · Demonstrated flexibility and adaptability—able to shift focus quickly and work on the company’s most pressing business deliverables as priorities evolve. · Ability to balance experimentation with robust delivery, ensuring both innovation and impactful business outcomes. · Demonstrated ability to collaborate across functions and communicate complex technical concepts to non-technical audiences. · Eagerness to learn, innovate, and contribute to a collaborative, high-energy team environment. · Experience in the insurance or financial services industry is a plus—but a passion for making a real-world impact is a must.
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