About Us
At Bristol Myers Squibb (BMS), we are more than just a biopharmaceutical company — we are a community of innovators, scientists, engineers, and professionals united by one shared purpose: transforming patients’ lives through science™. Our work is built on decades of research, cutting-edge technology, and a deep commitment to improving healthcare outcomes worldwide.
We are a recognized leader in oncology, hematology, immunology, and cardiovascular therapies, making a tangible difference for millions of patients. Operating in over 60 countries, we blend global expertise with a local understanding of healthcare needs. Whether it’s developing advanced cell therapies, finding breakthrough treatments, or optimizing production systems, our teams are focused on innovation with impact.
Our workplace culture encourages curiosity, collaboration, and courage. Every voice matters, and every role plays an important part in achieving our mission. At BMS, we believe diversity and inclusion are not just words but a foundation for creativity and problem-solving. Employees are empowered to share ideas, explore bold solutions, and grow in their careers while making a positive impact on society.
We live by our core values: Passion, Innovation, Urgency, Accountability, Inclusion, and Integrity. These are not just guiding principles; they are part of everything we do, from scientific discovery to patient support programs.
Job Details
Job Title: Data Scientist I
Job ID: Not specified
Location: Hyderabad, Telangana, India (Hybrid – Minimum 50% On-site)
Employment Type: Full-Time
Batch: All eligible batches
Experience: 0–3 Years (Freshers with relevant skills welcome)
Salary: As per Industry Standards
Qualification: Bachelor’s or Master’s degree in an analytical, engineering, operations research, or scientific discipline
Certifications: Not mandatory (Certifications in Data Science, AWS, or ML tools are a plus)
Key Responsibilities
As a Data Scientist I at BMS, you will join our Global Product & Supply (GPS) analytics team, helping drive decisions that improve efficiency, ensure product availability, and ultimately benefit patients around the world. This role blends technical skills, analytical thinking, and business understanding to solve real-world problems in a complex, fast-moving environment.
Your day-to-day responsibilities will include:
Analyzing large, complex datasets to uncover insights that inform GPS strategies and operations.
Partnering with business stakeholders to clearly define problems, establish measurable goals, and align on key performance indicators (KPIs).
Designing, building, and maintaining data pipelines, machine learning models, and dashboards that make insights accessible and actionable.
Collaborating with IT teams to optimize data infrastructure, ensuring reliable data flow and storage across systems.
Preparing clear, compelling reports and presentations for leadership and cross-functional teams, translating technical findings into business-friendly recommendations.
Following best practices in analytics, including version control, model deployment, documentation, and scalability planning.
Working across time zones with colleagues in the U.S. and other global locations, ensuring smooth collaboration despite geographic differences.
Required Skills
To excel in this role, you should bring a mix of technical expertise, problem-solving ability, and communication skills. You will need:
Strong experience developing machine learning models for classification, regression, and time-series forecasting.
Proficiency in Python and advanced SQL for data preparation, analysis, and modeling.
Hands-on experience with data visualization tools such as Tableau.
Knowledge of cloud computing platforms, preferably AWS.
An analytical mindset, with the ability to dig into data, spot patterns, and identify meaningful trends.
Preferred Skills
While not mandatory, the following would help you stand out:
Familiarity with MLOps tools like MLflow or Kubeflow.
Experience with version control tools such as GitHub.
Prior exposure to biopharma or GPS industry analytics.
Strong business acumen with the ability to connect data insights to strategic decisions.
Perks and Benefits
Joining BMS means joining a company that invests in your well-being and career growth. Our benefits include:
Competitive salary with opportunities for performance-based bonuses.
Health insurance plans that rank among the best in the industry.
Global wellness programs to support physical and mental health.
Generous paid time off and flexible work arrangements.
Professional development opportunities, including training programs and certification sponsorship.
Recognition platforms to celebrate your achievements.
Access to employee resource groups that foster networking, mentorship, and diversity.
Why Join Us
A career at BMS means more than just a paycheck. It means contributing to work that changes lives. Here, your analytical skills will directly support decisions that impact how medicines are produced and delivered. You will work with some of the brightest minds in the industry, learn continuously, and be encouraged to push boundaries.
Our hybrid work model offers the best of both worlds—on-site collaboration that fuels creativity and remote work that supports flexibility. And even if you don’t tick every box in the job description, we encourage you to apply. We value potential, curiosity, and a willingness to learn just as much as technical skills.
On-site Protocol
BMS follows a structured approach to defining work arrangements:
Site-essential: 100% of work is on-site.
Site-by-design: Hybrid model with at least 50% on-site presence (applies to this role).
Field-based: Frequent travel to meet partners or customers.
Remote-by-design: Fully remote with occasional on-site meetings.
The Data Scientist I position is site-by-design, requiring you to be at our Hyderabad office at least half the time for collaboration, team alignment, and project work.
