Data Scientist (Agentic AI & Gen AI Automation Focus)

Job Title: Data Scientist (Agentic AI & Gen AI Automation Focus)

• Work Location: Manyata Tech Park, Bangalore, India

• Work Schedule: Three days on-site, two days remote (3/2)

• Work hours: 9 am to 6 pm IST or 2 pm to 11 pm IST basis business needs

• Career Level: D1 – Individual Contributor position.

• Experience: 6-8 years of experience.
  

Introduction to role:
Are you ready to make a difference in the world of biopharmaceuticals? At AstraZeneca, we are a global, science-led company dedicated to discovering, developing, and commercializing prescription medicines for some of the most serious diseases. A Data Scientist position involves spearheading innovation by addressing complex scientific and business challenges with solutions based on information. Your expertise will accelerate medicine discovery and delivery, blending statistical prowess, coding skills, and domain knowledge to unlock insights from extensive datasets. Collaborate across multidisciplinary teams and support functions like commercial analytics and digital transformation, all while driving omnichannel operations for Global Business Services and Global Commercial Services.

Accountabilities:
• Design, develop, and implement predictive models and machine learning algorithms, including agentic AI systems capable of autonomous reasoning and workflow orchestration.
• Leverage generative AI solutions to automate data science workflows, enhance productivity, and deliver novel insights across diverse data sources (clinical, biological, operational, real-world).
• Evaluate, clean, merge, and transform complex datasets, ensuring readiness for advanced analytics and automation.
• Build and deploy analytical workflows using Gen AI tools and agentic AI frameworks (such as LangChain, CrewAI, AutoGen), ensuring reproducibility and scalability.
• Document AI system decisions and data processes for transparency, auditability, and scalability.
• Visualize data and model outputs through dashboards, reports, and presentations customized for diverse collaborators.
• Collaborate with data engineers to operationalize, monitor, and continuously optimize both traditional and agentic/gen AI models in production.
• Keep up with advancements in agentic AI, Gen AI architectures, encouraging innovation when applicable.
• Communicate findings and recommendations clearly with collaborators, translating complex AI and automation concepts into actionable next steps.
• Ensure all solutions align with data privacy, ethical, legal, and regulatory standards.
• Mentor junior team members and contribute to a collaborative technical team culture.

Essential Skills/Experience:
• Bachelor’s or Master’s in a quantitative field such as Data Science, Computer Science, Statistics, Engineering, Bioinformatics, or related subject area.
• Advanced programming skills in Python (preferred), including hands-on experience with agentic and Gen AI frameworks (e.g., LangChain, CrewAI, AutoGen, Hugging Face, OpenAI).
• Solid background in machine learning and generative modeling techniques: supervised/unsupervised learning, large language models, prompt engineering, workflow automation, model validation.
• Practical experience in developing automation that includes autonomous agents for tasks such as data management, report generation, decision processes, and content development.
• Proficiency in data wrangling, exploratory analysis, and visualization (Tableau, Power BI, matplotlib, seaborn), and experience with SQL/NoSQL databases.
• Knowledge of cloud platforms (Azure, AWS, GCP) and scalable data tools (Spark, Databricks, Hadoop), with exposure to Gen AI service deployment.
• Exceptional communication skills for engaging technical and non-technical audiences.
• Experience with healthcare, pharma, or life sciences data is a strong advantage.

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

AstraZeneca offers an environment where diverse cultures and perspectives come together to create a sense of belonging. Here you'll find opportunities to learn and grow alongside a team committed to transforming processes through simplification and automation. Our innovative approach ensures that data is at the heart of everything we do. As part of our journey of growth and evolution, you'll contribute to making AstraZeneca more agile and efficient while impacting society positively.

Ready to take the next step? Apply now to join our dynamic team!

Date Posted

02-Sept-2025

Closing Date

08-Sept-2025

AstraZeneca embraces diversity and equality of opportunity.  We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.  We believe that the more inclusive we are, the better our work will be.  We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.  We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorisation and employment eligibility verification requirements.