AstraZeneca is hiring for a fresher entry level Data Scientist role in India

Position:

• Data Scientist

Company:

• AstraZeneca

Location:

• Bengaluru, Karnataka, India

Job type:

• Full-time

Job mode:

• Hybrid (minimum 3 days from office per week, with flexibility for remote work as needed)

Job requisition id:

• R-221088

Years of experience:

• 0–3 years

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Company description

• AstraZeneca is a global biopharmaceutical leader committed to discovering, developing, and delivering medicines that transform patient outcomes.

• The company operates across more than 100 countries, bringing together diverse expertise in research, manufacturing, and patient care.

• Their portfolio spans therapeutic areas such as oncology, cardiovascular, renal, metabolic diseases, respiratory, immunology, and rare diseases.

• Innovation is at the core of AstraZeneca’s mission, combining cutting-edge science with advanced technologies such as artificial intelligence, data analytics, and cloud computing.

• The Bengaluru office plays a pivotal role in digital, data, and AI initiatives, serving as a hub for global projects.

• AstraZeneca promotes a collaborative culture, encouraging diverse perspectives to drive creative problem-solving and breakthrough solutions.

• The company invests heavily in its employees, offering access to modern tools, professional development programs, and opportunities to work on projects that directly impact patient lives.

• Sustainability and ethics are integral to AstraZeneca’s operations, ensuring compliance with global regulations and maintaining high standards of corporate responsibility.

• Employees are empowered to explore ideas, test innovative solutions, and contribute to life-changing healthcare initiatives.

• By joining AstraZeneca, individuals become part of a mission-driven team committed to shaping the future of medicine and improving healthcare outcomes globally.

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Profile overview

• This Data Scientist role focuses on solving complex business and scientific problems through data-driven approaches.

• The role involves end-to-end involvement in the data science lifecycle, from problem definition and data collection to model deployment and stakeholder communication.

• The successful candidate will work on multi-modal datasets, integrating information from diverse sources including structured, unstructured, imaging, text, and graph data.

• Projects will span various analytical domains such as classification, regression, clustering, natural language processing, image analysis, and graph theory.

• You will play an active role in designing and implementing models that directly support decision-making for scientific research and business strategy.

• The position requires translating unstructured business problems into clearly defined data problems, selecting suitable methodologies, and building analytical solutions.

• Collaboration is key, as the role involves working with data engineers, domain experts, business analysts, and IT specialists to ensure solutions are aligned with project goals.

• The job includes research responsibilities, where you will explore novel methodologies and publish findings in conferences or peer-reviewed journals.

• Strong communication skills are necessary for explaining results, uncertainties, and implications to non-technical stakeholders.

• This is an opportunity to work on impactful projects that contribute to AstraZeneca’s mission of advancing healthcare, while also developing advanced data science expertise.

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Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or related field.

• Exposure to data analysis and machine learning, either through academic projects, internships, or industry roles.

• Strong programming skills in Python, including familiarity with popular ML libraries like TensorFlow, PyTorch, or Scikit-learn.

• Understanding of data visualization tools such as Tableau or Power BI, with the ability to create intuitive and impactful dashboards.

• Awareness of big data ecosystems like Hadoop or Spark, and the capability to work with large-scale datasets.

• Solid grasp of core machine learning algorithms including regression, classification, clustering, and optimization techniques.

• Ability to interpret analytical outputs and translate them into actionable business insights.

• Problem-solving mindset with attention to accuracy, reproducibility, and scalability of solutions.

• Good verbal and written communication skills for engaging with both technical and non-technical audiences.

• Openness to learning new tools, programming languages, and frameworks as per project needs.

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Additional info

• This role is part of AstraZeneca’s early talent program, designed to nurture entry-level professionals and equip them with industry-ready skills.

• You will have opportunities to lead projects within a defined scope, gaining exposure to end-to-end solution delivery.

• The position includes mentoring from senior data scientists and the chance to mentor junior interns or peers over time.

• The work mode is hybrid, with the expectation of being in the office at least three days a week to foster collaboration, creativity, and team bonding.

• AstraZeneca provides access to cutting-edge tools and computing platforms to enable rapid experimentation and scalable deployment of models.

• Employees are encouraged to publish and present their work in industry forums, further building their professional profile.

• The environment is inclusive, welcoming applications from diverse backgrounds and promoting equity in career growth opportunities.

• Flexibility is offered to accommodate personal commitments while maintaining productivity and meeting project deadlines.

• The role offers exposure to digital healthcare innovations, cloud-based technologies, and global cross-functional teams.

• Joining AstraZeneca means contributing to projects that have direct societal and patient impact, aligning your career with meaningful outcomes.

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Please click here to apply.