Roche: AI Data Scientist – Applied AI

About AI Data Scientist - Applied AI at Roche

Roche is one of the world's largest biotechnology companies and a global pioneer in pharmaceuticals and diagnostics, dedicated to advancing healthcare and transforming millions of patient lives worldwide. As an AI Data Scientist – Applied AI at Roche's technology campus in Pune, you will be part of an elite data science organization focused on solving complex data challenges across diagnostic and healthcare workflows. This high-impact role is crafted to design, validate, and deploy cutting-edge predictive models and machine learning systems from inception to production.

In your day-to-day responsibilities, you will work independently on dedicated data science initiatives while collaborating closely with broader global business units, medical research teams, and engineering squads. You will handle large, complex healthcare datasets, leverage advanced statistical methods, and engineer predictive models using Python, R, and modern machine learning frameworks. Operating from Pune, your analytical findings and deployed AI capabilities will directly influence critical clinical and operational business decisions across Roche's global network.

Roche provides an exceptional culture of scientific innovation, intellectual freedom, and human-centric healthcare values. Over your first year, you will deepen your expertise across advanced machine learning algorithms, model explainability, and enterprise AI validation within a highly regulated global ecosystem. For aspiring data scientists seeking to leverage artificial intelligence for life-changing patient care, Roche offers a truly inspiring global career platform.

Roles & Responsibilities

• Lead the design, development, validation, and deployment of predictive machine learning models and applied artificial intelligence solutions.
• Work independently on dedicated data science projects from inception through data exploration, feature engineering, and final operational deployment.
• Handle and preprocess large, highly complex healthcare and clinical datasets, ensuring rigorous data integrity and statistical validity.
• Identify, analyze, and resolve intermediate to complex data challenges, validating model accuracy and robustness with minimal supervision.
• Engage actively with broader global business units to clearly understand, refine, and translate strategic data requirements into analytical models.
• Present analytical findings, statistical insights, and complex machine learning predictions clearly to diverse technical and non-technical stakeholders.
• Drive medium-sized applied AI projects that directly influence corporate decision-making and align closely with strategic business objectives.
• Optimize existing machine learning models and algorithms to enhance inference performance, computational efficiency, and prediction reliability.
• Collaborate with software engineering pods to deploy machine learning models seamlessly into production containerized environments.
• Document data science methodologies, experimental benchmarks, model governance artifacts, and validation reports comprehensively.

Requirements & Eligibility

• Master's or Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Bioinformatics, or a related quantitative field.
• 0 to 1 years of professional experience or demonstrably strong advanced internship, thesis, or academic research projects in applied AI and data science.
• High proficiency in programming languages for data science, particularly Python or R, with advanced data manipulation capabilities.
• Deep understanding of advanced statistical methods, regression models, probability theory, and modern supervised and unsupervised machine learning algorithms.
• Practical experience with data science libraries and frameworks including Pandas, NumPy, Scikit-learn, and foundational deep learning toolkits.
• Solid working knowledge of relational and non-relational database systems, with the capability to execute complex SQL queries.
• Familiarity with version control workflows utilizing Git, collaborative code repositories, and reproducible data science pipelines.
• Exposure to cloud computing platforms (AWS, Azure, or GCP) and containerization tools like Docker is an added advantage.
• Strong analytical problem-solving abilities with the intellectual rigor to handle ambiguous, complex healthcare datasets.
• Exceptional verbal and written communication skills with proven ability to convey data insights convincingly to business stakeholders.

Key Skills & Technologies

This applied AI data science role emphasizes strong Python or R programming, advanced statistical modeling, and machine learning algorithms.

• Python & R: Primary programming languages applied for statistical computing, exploratory data analysis, and predictive model building.
• Machine Learning Algorithms: Advanced supervised and unsupervised learning techniques utilized for predictive modeling and pattern recognition.
• Pandas, NumPy & Scikit-learn: Foundational data science libraries used for large-scale data manipulation, matrix operations, and model training.
• SQL & Data Warehousing: Structured query languages utilized for querying complex data schemas and building analytical datasets.
• Git & Version Control: Distributed version control tools applied for code collaboration, model versioning, and experimental reproducibility.
• Data Visualization Tools: Libraries and platforms utilized to create insightful dashboards, charts, and executive presentation visuals.

Why Join Roche?

• Join a global healthcare and biotechnology leader whose innovations treat over 26 million patients and deliver over 30 billion diagnostic tests yearly.
• Work on groundbreaking applied AI problems that directly accelerate scientific discovery and improve human health outcomes worldwide.
• Thrive in a welcoming, inclusive, and egalitarian culture that values individual authenticity, personal expression, and genuine collaboration.
• Receive top-tier compensation packages, comprehensive international healthcare benefits, and extensive professional development opportunities.

Expected Salary

Based on verified compensation benchmarks from Glassdoor, AmbitionBox, and biotechnology industry surveys for early-career AI Data Scientists at Roche in Pune, the annual compensation package typically ranges between ₹9,00,000 and ₹15,00,000 per annum. Roche provides an exceptional total rewards package including performance-linked annual bonuses, comprehensive corporate health insurance, retirement benefits, and flexible work allowances. Final compensation packages are tailored based on candidate academic achievements, technical interview evaluation, and domain expertise.