Manager, RDU IT – Data Science
AstraZeneca
AstraZeneca is hiring talented professionals for the position of Manager, RDU IT – Data Science in India - Bangalore. This opportunity is ideal for candidates looking to build a strong career in the IT industry in 2026. Applicants should carefully review the eligibility criteria, required skills, and selection process before applying online.
The recruitment drive for 2026 offers a great chance for job seekers to join a reputed organization. Make sure to prepare well for the interview and submit your application before the deadline. Read below for full details on how to apply, educational qualifications, and other important instructions.
Job Overview
| Role: | Manager, RDU IT – Data Science |
| Location: | India - Bangalore |
| Employment Type: | Full Time / Permanent |
| Industry: | IT / Software / Core |
🚀 Why Manager, RDU IT – Data Science is a Strategic Career Move in 2026
Joining AstraZeneca as a Manager, RDU IT – Data Science offers excellent growth prospects. Here's why this role is trending:
- Companies are aggressively hiring for AI/ML roles in Bangalore and Hyderabad.
- Senior potential is huge, with paths leading to AI Architect or Chief Data Officer.
Industry Insight: Data Scientist roles in India - Bangalore are currently seeing high demand.
Organization / Company Name
AstraZeneca
(See full description for company details)
🎯 How to Prepare for Manager, RDU IT – Data Science Role
To crack the interview at AstraZeneca, focus on the following:
- Practice SQL queries for data extraction and manipulation.
- Understand the basics of MLOps and model deployment.
- Master Python libraries: Pandas, NumPy, Scikit-learn, and TensorFlow.
Important Dates
- Posted On: 23 February 2026
- Application Deadline: ASAP (Apply immediately)
Job Description
Job Title: Manager, RDU IT – Data Science
Introduction to role:
Are you ready to lead the charge in developing cutting-edge Generative AI solutions? As a Manager, RDU IT – Data Science, you'll be at the forefront of innovation, reporting directly to the IT Director of Data Science within the Alexion IT RDU organization. Your mission? To craft and deploy AI models that tackle our most pressing business challenges. Dive into the world of Machine Learning and Generative AI, and help us scale production-ready models that make a real impact!
Accountabilities:
- Lead the development and refinement of Generative AI systems and applications using state-of-the-art models to solve complex business problems.
- Contribute to the development and maintenance of MLOps infrastructure and tools for Machine Learning and Generative AI models.
- Participate in the full lifecycle development of Generative AI agents, ensuring meaningful interaction with users or environments.
- Support the integration of pre-trained Generative AI models into custom applications for new functionalities.
- Collaborate with senior engineers to design interactive systems using Generative AI for dynamic content or decision support.
- Contribute to building and maintaining infrastructure for running Generative AI applications.
- Aid in implementing user interfaces or API endpoints for seamless interaction with Generative AI functionalities.
- Assist with data pipelines and preprocessing steps for feeding Generative AI models with appropriate data.
- Help monitor the operational health of Generative AI applications in production, identifying areas for improvement or optimization.
- Contribute to developing assets, frameworks, and reusable components for Generative AI, Machine Learning, and MLOps practices.
- Engage with stakeholders to gather feedback and iteratively improve upon Generative AI applications' features and capabilities.
- Support the integration of Generative AI models within the Machine Learning ecosystem, ensuring ethical use and business relevance.
- Assist with monitoring and governance of Generative AI models to align with evolving business and regulatory requirements.
Essential Skills/Experience:
- Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related field
- 3+ years of experience in Machine Learning, data science, or software development
- Familiarity with ML Engineering concepts and tools, including Docker/containerization, and basic model upkeep
- Exposure to CICD practices and familiarity with tools such as GitHub Actions, Jenkins, or Bitbucket pipelines
- Experience with Python and familiarity with ML libraries such as Tensorflow, Keras, or PyTorch
- Experience with cloud computing platforms, such as AWS, Azure or GCP
- Understanding of software engineering principles and exposure to agile methodologies
- Good communication and collaboration skills, with enthusiasm for working in a cross-functional team environment
- Proactive and eager to learn with strong analytical and problem-solving skills
Desirable Skills/Experience:
- Experience in the pharmaceutical industry or related fields
- Master's degree in a related field or ongoing education towards an advanced degree
- Strong knowledge of AI techniques and tools, including NLP, optimization, and deep learning
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.
At AstraZeneca, you'll find a vibrant environment where innovation thrives. Our entrepreneurial spirit combined with global resources allows us to make significant strides in healthcare. We are committed to supporting your career growth while making a difference in patients' lives. With a rapidly expanding portfolio and a culture that encourages exploration and learning, you'll be empowered to define your career path while contributing to groundbreaking advancements.
Ready to take on this exciting challenge? Apply now and become part of our dynamic team!
Date Posted
23-Feb-2026Closing Date
13-Mar-2026Alexion is proud to be an Equal Employment Opportunity and Affirmative Action employer. We are committed to fostering a culture of belonging where every single person can belong because of their uniqueness. The Company will not make decisions about employment, training, compensation, promotion, and other terms and conditions of employment based on race, color, religion, creed or lack thereof, sex, sexual orientation, age, ancestry, national origin, ethnicity, citizenship status, marital status, pregnancy, (including childbirth, breastfeeding, or related medical conditions), parental status (including adoption or surrogacy), military status, protected veteran status, disability, medical condition, gender identity or expression, genetic information, mental illness or other characteristics protected by law. Alexion provides reasonable accommodations to meet the needs of candidates and employees. To begin an interactive dialogue with Alexion regarding an accommodation, please contact accommodations@Alexion.com. Alexion participates in E-Verify.
Educational Qualification
Candidates should possess a relevant degree (B.E/B.Tech, M.E/M.Tech, MCA, or equivalent) from a recognized university. Please refer to the specific requirements in the Job Description above.
Age Limit
As per company rules. Generally, candidates should be at least 18 years of age.
Salary / Pay Scale
Best in Industry / Not Disclosed by Company.
Application Fee
NIL (No application fee for private jobs).
Selection Process
- Resume Shortlisting
- Online Assessment / Technical Round
- HR Interview
- (Process may vary by company)
How to Apply
Interested and eligible candidates can apply online using the link provided below.
- Click on the "Apply Now" link below.
- You will be redirected to the official career page of AstraZeneca.
- Read the job details carefully.
- Click on "Apply" and fill in the required details.
- Submit your application.
Important Links
Important Instructions
- Read the full job description on the official site before applying.
- Ensure your resume is updated and matches the job requirements.
- Check your email regularly for updates after applying.
Kishan Prajapati
Career Researcher & IT Industry Analyst. Helping freshers and professionals find verified private IT job opportunities in India.
Disclaimer: This job posting is for information purposes only. We are not associated with AstraZeneca directly. All applications are processed through the official company website. Do not pay any money to anyone for this job.
