Principal Analyst Decision Science and AI Enablement

Takeda; Bengaluru; On-site; INR 2,500,000 - 5,000,000; Full time

Job summary

Takeda in Bengaluru, India, seeks a Principal Analyst to join the GCC Commercial Analytics & Insights COE. This senior individual contributor leads complex AI/ML workstreams across classification, NLP, personalization, and GenAI while aligning with US and global commercial priorities.

You will frame business problems, assemble data requirements, and guide monetization of model outputs into actionable business workflows.

Qualifications

• 5–6 years of AI/ML, data science, or predictive analytics in the pharmaceutical space.
• Demonstrated experience independently leading complex model development, decision science, or personalization workstreams.
• Advanced proficiency in Python, SQL; working knowledge of Spark/PySpark, Databricks, and cloud-based ML platforms is preferred.
• Applied experience with commercial pharma or healthcare datasets such as claims, CRM, digital engagement, EMR, specialty pharmacy, omnichannel interaction, or sales data.
• Experience with model deployment, monitoring, documentation, and lifecycle management practices is strongly preferred.

Responsibilities

• Lead complex AI/ML strategy, model development, validation, monitoring, and lifecycle management across use cases.
• Frame ambiguous business problems into structured analytic approaches and identify data needs and success metrics.
• Integrate diverse datasets (claims, CRM, digital engagement, EMR, omnichannel) into scalable AI/ML solutions.
• Produce executive-ready narratives explaining methodology, performance, and business impact.
• Architect reusable decisioning frameworks for next-best-action/next-best-channel and targeting.
• Collaborate with DD&T, Omnichannel, Marketing Operations, and analytics teams to operationalize model outputs while preserving quality.

Skills

AI/ML Expertise

Consultative Partnership

Technical Proficiency

Decision Science Leadership

GenAI Enablement

Data Storytelling

Informal Leadership

Education

Bachelor's/Master's in CS/Data Science

Advanced degree preferred

Tools

Python

SQL

Spark/PySpark

Databricks

Cloud ML Platforms

Job description

Job Description

OBJECTIVES / PURPOSE

We are seeking a high-caliber Principal Analyst to join Takeda’s GCC Commercial Analytics & Insights (CA&I) organization in India as part of the Decision Science & AI Enablement COE. This senior individual contributor role serves as a technical and consultative anchor for complex AI/ML, advanced analytics, decision science, and GenAI workstreams supporting US and global commercial priorities.

ACCOUNTABILITIES

AI/ML Strategy and Delivery

• Lead complex model development, validation, monitoring, and lifecycle management workstreams across classification, regression, NLP, recommendation, deep learning, and personalization use cases.
• Frame ambiguous commercial business problems into structured analytical approaches, identifying data requirements, methodological options, success metrics, and implementation considerations.
• Guide integration of claims, CRM, digital engagement, EMR, specialty pharmacy, omnichannel, and other commercial behavioral datasets into scalable AI/ML solutions.
• Produce executive-ready technical narratives that explain methodology, performance, limitations, business implications, and recommendations for model adoption or refinement.

Personalization and Decision Frameworks

• Architect reusable decisioning frameworks for next-best-action / next-best-channel, patient identification, HCP targeting, segmentation, and engagement prioritization.
• Design experimentation and measurement approaches, including A/B testing, control groups, uplift analyses, and KPI frameworks to quantify business impact.
• Partner with DD&T, Omnichannel, Marketing Operations, and analytics teams to operationalize model outputs into business workflows while preserving quality and traceability.

Innovation and GenAI

• Lead evaluation and prototyping of GenAI and LLM-based solutions for insight synthesis, content support, literature and knowledge retrieval, and intelligent assistants for analytics teams.
• Define evaluation criteria, quality gates, and documentation standards for GenAI pilots so outputs are transparent, reliable, and aligned with approved guardrails.
• Convert successful prototypes into reusable analytical assets, prompts, code patterns, and implementation playbooks that can be leveraged across brands and markets.

COE Excellence and Methodology Standards

• Provide technical guidance, code review, model review, and methodology coaching to Senior Analysts and Analysts across assigned workstreams.
• Establish and maintain best-practice libraries, reusable modeling templates, validation checklists, and documentation standards for the Decision Science & AI Enablement COE.
• Contribute to COE capability building by sharing emerging methods, automation opportunities, and practical applications of AI/ML and GenAI in commercial pharma analytics.

KNOWLEDGE, SKILLS & EXPERIENCE

Education

• Bachelor’s or master’s degree required in Computer Science, Data Science, Statistics, Engineering, Mathematics, Operations Research, or a related quantitative field.
• Advanced degree in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field is strongly preferred.

Experience

• 5–6 years of progressive experience in AI/ML, data science, advanced analytics or predictive analytics in the pharmaceutical space
• Demonstrated experience independently leading complex model development, decision science, experimentation, or personalization workstreams.
• Advanced proficiency in Python, SQL, and applied machine learning methods; working knowledge of Spark/PySpark, Databricks, and cloud-based ML platforms is preferred.
• Applied experience with commercial pharma or healthcare datasets such as claims, CRM, digital engagement, EMR, specialty pharmacy, omnichannel interaction, or sales data.
• Experience with model deployment, monitoring, documentation, and lifecycle management practices is strongly preferred.
• Experience partnering with commercial, omnichannel, DD&T, or AI/ML engineering stakeholders in a matrixed environment is preferred.

Skills & Competencies

• Advanced AI/ML Expertise — Designs and guides complex analytical methodologies across predictive modeling, NLP, recommendation systems, personalization, and experimentation.
• Consultative Partnership — Frames business questions, recommends analytical approaches, and influences stakeholders through clear technical and commercial reasoning.
• Technical Proficiency — Advanced Python and SQL; strong understanding of ML frameworks, Databricks, Spark/PySpark, cloud ML platforms, and model monitoring practices.
• Decision Science Leadership — Builds reusable decisioning frameworks that connect model outputs to commercial workflows and measurable business outcomes.
• GenAI Enablement — Evaluates LLM-based solutions, defines quality standards, and translates prototypes into reusable assets under approved guardrails.
• Data Storytelling — Synthesizes complex model results into concise, decision-oriented narratives for senior technical and business audiences.
• Informal Leadership — Provides technical mentorship, methodology review, and best-practice guidance across the COE.

TAKEDA BEHAVIORS

• Act with Integrity — Deliver accurate, transparent work and take full responsibility for quality.
• Collaborate Cross-Functionally — Contribute positively to GCC-US team workflows and cross-functional collaboration.
• Drive Accountability — Take ownership of all assigned tasks and deliver on commitments.
• Embrace Learning — Continuously build analytical and domain capabilities through feedback and self-driven development.

Locations

IND - Bengaluru

Worker Type

Employee

Worker Sub-Type

Regular

Time Type

Full time