Position:
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Associate Data Scientist – AI or ML
Company:
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Optum (part of UnitedHealth Group)
Location:
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Bangalore, Karnataka, India
Job type:
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Full-time
Job mode:
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Onsite
Job requisition id:
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2301097
Years of experience:
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0–3 years
Company description
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Optum is a global health services and innovation company that integrates technology, clinical expertise, and data to improve the delivery of care.
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The company operates as part of UnitedHealth Group, one of the largest healthcare organizations in the world, known for its deep commitment to helping people lead healthier lives and for advancing health system efficiency.
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With a strong focus on data-driven solutions, Optum supports millions of individuals in accessing the right care, at the right time, through optimized networks and intelligent health technologies.
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The work culture emphasizes collaboration, inclusivity, and career growth opportunities, enabling employees to grow professionally while making a meaningful difference in healthcare outcomes.
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The organization operates globally, serving diverse communities with a mission to improve health equity and bridge gaps in care delivery, while also focusing on sustainability and reducing environmental impact.
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Employees at Optum benefit from comprehensive development programs, robust benefits, and an environment where innovation is encouraged.
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The team collaborates across business units to deliver solutions that address challenges in public health, preventive care, and clinical operations.
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Guided by its vision to connect people with care resources, pharmacy benefits, and reliable data insights, Optum positions itself as a leader in transforming the healthcare experience.
Profile overview
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The Associate Data Scientist – AI or ML role at Optum offers an opportunity to work on impactful healthcare projects using advanced technologies like artificial intelligence, machine learning, and deep learning.
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This position focuses on designing, building, and deploying intelligent models that improve patient outcomes, enhance operational efficiency, and support data-driven decision-making.
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The role requires active involvement in implementing Retrieval-Augmented Generation (RAG) architectures, developing computer vision projects, and deploying predictive analytics solutions.
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A significant emphasis is placed on working with generative AI models, fine-tuning large language models (LLMs), and leveraging cloud computing platforms such as Azure and AWS to deliver scalable solutions.
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This entry-level role welcomes candidates with 0–3 years of experience who have a strong technical foundation and a passion for innovation in healthcare analytics.
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The position also includes opportunities for collaboration with cross-functional teams, exposure to enterprise-scale data systems, and hands-on experience with real-world health data challenges.
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The role fits individuals who want to apply technical skills in a purpose-driven industry and grow into advanced positions within data science and AI domains.
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Candidates will join a collaborative environment that values initiative, problem-solving, and the drive to improve the healthcare ecosystem through technology.
Qualifications
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A bachelor’s degree in engineering (BE/BTech) in a relevant field, with a strong focus on AI, machine learning, or deep learning technologies.
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Understanding and experience with Retrieval-Augmented Generation (RAG) architecture for knowledge-intensive AI applications.
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Knowledge in developing computer vision solutions for real-world use cases.
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Proficiency in predictive analytics model deployment and experience building generative AI applications.
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Hands-on skills in Python programming, along with practical experience in frameworks such as TensorFlow and Keras.
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Familiarity with cloud computing platforms including Microsoft Azure and Amazon Web Services (AWS), with the ability to fine-tune large language models for domain-specific needs.
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A proven or demonstrated ability to contribute to projects that result in measurable improvements and insights from data.
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Capability to work collaboratively in a team, adapt to evolving project requirements, and meet deadlines effectively.
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Strong analytical thinking and attention to detail, ensuring solutions are accurate, efficient, and aligned with the organization's objectives.
Additional info
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Employees are expected to follow company policies, employment terms, and directives, which may include changes in location, teams, work shifts, or flexibility arrangements as required by business needs.
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Optum reserves the right to modify or update policies to adapt to the changing healthcare and technology landscape.
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This role is classified as full-time and is based onsite in Bangalore, with no travel requirements.
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The position operates under an exempt overtime status, with work conducted during the day shift.
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The company is committed to creating a diverse and inclusive work environment, ensuring equal opportunity for applicants of all backgrounds.
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All offers of employment are contingent on passing a pre-employment drug test, in accordance with the company's drug-free workplace policy.
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The role is positioned within the Optum business segment of UnitedHealth Group, aligning with its enterprise-wide mission to deliver equitable care and address health disparities.
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Employees are encouraged to engage in career development opportunities offered by the organization to build expertise in emerging technologies and data-driven healthcare solutions.
Please click here to apply.
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