Data Science, Senior Manager

Skills and Qualifications

Education

• Bachelors or Master’s or Ph.D. in Computer Science, Software Engineering, Data Science, or related field.

Experience

• At least 6-8 years of experience in machine learning system architecture, deployment, and MLOps, with a significant focus on operationalizing ML at scale.

• Proven track record in designing and advocating ML/AI solutions within enterprise architecture frameworks and council-level decision-making.

Technical Skills

• Proficiency in deploying and managing machine learning pipelines using MLOps tools like MLflow, Airflow, Databricks, or Clear ML.

• Strong programming skills in Python and experience with machine learning libraries such as Scikit-learn, XGBoost, LightGBM, and TensorFlow.

• Deep understanding of CI/CD pipelines and tools (e.g., Jenkins, GitHub Actions) for automated model deployment.

• Familiarity with Databricks tools and services for scalable data workflows and model management.

• Expertise in building robust observability and monitoring systems to track ML systems in production.

• Hands-on experience with classical machine learning techniques, such as random forests, decision trees, SVMs, and clustering methods.

• Knowledge of infrastructure-as-code tools like Terraform or CloudFormation to enable automated deployments.

• Experience in handling regulatory considerations and compliance in healthcare AI/ML implementations (e.g., GxP, GDPR).

Soft Skills

• Strong problem-solving skills and attention to detail.

• Excellent communication and collaboration skills for influencing technical and non-technical stakeholders.

• Leadership ability to mentor teams and drive architecture-standardization initiatives.

• Ability to manage projects independently and advocate for AI/ML adoption across Takeda.

Preferred Qualifications

• Real-world experience operationalizing machine learning for pharmaceutical domains, including drug discovery, patient stratification, and manufacturing process optimization.

• Familiarity with ethical AI principles and frameworks, aligned with FAIR data standards in healthcare.

• Publications or contributions to AI research or MLOps tooling communities.

WHAT TAKEDA ICC INDIA CAN OFFER YOU:

• Takeda is certified as a Top Employer, not only in India, but also globally. No investment we make pays greater dividends than taking good care of our people.

• At Takeda, you take the lead on building and shaping your own career.

• Joining the ICC in Bengaluru will give you access to high-end technology, continuous training and a diverse and inclusive network of colleagues who will support your career growth.

BENEFITS:

• It is our priority to provide competitive compensation and a benefit package that bridges your personal life with your professional career. Amongst our benefits are:

• Competitive Salary + Performance Annual Bonus

• Flexible work environment, including hybrid working

• Comprehensive Healthcare Insurance Plans for self, spouse, and children

• Group Term Life Insurance and Group Accident Insurance programs

• Health & Wellness programs including annual health screening, weekly health sessions for employees.

• Employee Assistance Program

• 5 days of leave every year for Voluntary Service in additional to Humanitarian Leaves

• Broad Variety of learning platforms

• Diversity, Equity, and Inclusion Programs

• No Meeting Days

• Reimbursements – Home Internet & Mobile Phone

• Employee Referral Program

• Leaves – Paternity Leave (4 Weeks), Maternity Leave (up to 26 weeks), Bereavement Leave (5 days)

​ABOUT ICC IN TAKEDA:

• Takeda is leading a digital revolution. We’re not just transforming our company; we’re improving the lives of millions of patients who rely on our medicines every day.

• As an organization, we are committed to our cloud-driven business transformation and believe the ICCs are the catalysts of change for our global organization.

#Li-Hybrid

Locations

IND - Bengaluru

Worker Type

Employee

Worker Sub-Type

Regular

Time Type

Full time

Industries:Hospital & Health Care, Medical Device, Pharmaceuticals