Job Description
🏢 Company: Optum (UnitedHealth Group)
💼 Role: Associate Data Scientist
📍 Location: Bangalore, Karnataka, India
⏳ Experience: 0–3 Years (Entry-to-Mid Level)
🔖 Job Type: Full-Time, Hybrid
Job Description:
Optum, a leading global healthcare technology company under UnitedHealth Group, is looking for an enthusiastic and skilled Associate Data Scientist to join its growing analytics and AI/ML team in Bangalore. This role offers a unique blend of data science, machine learning, and front-end development exposure, allowing you to work on cutting-edge solutions that directly impact patient care and health outcomes.
As an Associate Data Scientist, you will design and implement machine learning models for diverse use cases such as classification, regression, clustering, and natural language processing. You will also collaborate with engineering teams to integrate these models into scalable applications using React JS, enabling real-time insights and interactive dashboards. This role is perfect for professionals who want to see their work in action — transforming healthcare data into meaningful solutions that help millions live healthier lives.
This position offers the chance to collaborate with cross-functional teams, including product managers, software engineers, and UX designers, to deliver AI-driven features for enterprise applications. Your contributions will support Optum’s mission of connecting people with the right data, care, and resources to improve population health while working in an environment that encourages innovation, inclusion, and continuous learning.
Roles & Responsibilities:
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Design and develop machine learning models for tasks such as classification, regression, clustering, and NLP to solve real-world healthcare challenges.
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Analyze large-scale structured and unstructured datasets, deriving actionable insights that support strategic decision-making.
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Collaborate with MLOps teams to productionize models, deploy them at scale, and monitor performance for accuracy and stability.
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Develop dynamic dashboards and visualizations using React JS to present insights and predictions in real time.
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Integrate machine learning outputs with REST APIs, WebSockets, and UI components for seamless user experiences.
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Work with cross-functional stakeholders to translate business problems into data science solutions with intuitive interfaces.
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Write efficient, maintainable, and scalable code, adhering to version control and CI/CD best practices.
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Perform continuous testing, model retraining, and optimization to ensure high performance and reliability.
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Contribute to the team’s knowledge base by staying up to date with latest trends in AI/ML, LLMs, and prompt engineering.
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Ensure compliance with company policies, data security standards, and regulatory requirements.
Requirements & Eligibility:
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Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
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Proficiency in Python, SQL, and ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
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Hands-on experience with React JS, JavaScript, or TypeScript for building interactive dashboards.
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Strong foundation in statistics, machine learning algorithms, and data modeling techniques.
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Experience with cloud platforms such as AWS, GCP, or Azure and familiarity with CI/CD pipelines.
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Working knowledge of version control systems (Git) and agile methodologies for collaborative development.
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Strong problem-solving and analytical skills, with the ability to translate business needs into data-driven solutions.
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Excellent communication skills to collaborate with cross-functional teams effectively.
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Preferred: Exposure to healthcare, insurance, or financial services domains and familiarity with AI safety, prompt engineering, or agentic AI systems.
Expected Salary:
For an Associate Data Scientist in Bangalore, salaries typically range between ₹6 LPA to ₹10 LPA, depending on educational background, technical expertise, and experience in AI/ML development. Professionals with strong React JS and production ML deployment experience may command salaries at the higher end of this range.
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