Data Scientist

Axtria; Hyderabad, Bengaluru, Delhi; Híbrido; INR 1.800.000 - 3.000.000; Jornada completa

Descripción de la vacante

Axtria in Hyderabad, India is seeking a Senior Data Scientist to own the design and validation of advanced statistical, ML, and Generative AI models for pharma forecasting, HCP targeting, and segmentation. You will partner with AI Engineering and commercial stakeholders to translate complex model outputs into actionable business decisions.

Additionally you will mentor junior analysts, ensure rigorous AI-assisted development practices, and raise the accuracy and business relevance of predictive

Formación

• 4-8 years of experience in data science and advanced analytics.
• Experience designing and validating ML/AI models for business outcomes.
• Pharma domain experience is a plus.

Responsabilidades

• Design, develop, and validate statistical, ML, and LLM models to solve pharma challenges such as forecasting and HCP targeting.
• Evaluate model performance, form hypotheses, and apply data science techniques to new datasets in a business context.
• Review and sign off on AI-generated modeling outputs, ensuring quality and accuracy before client delivery.
• Collaborate with AI Engineering and MLOps teams to enable deployment, monitoring, and handover of models.
• Mentor junior analysts, elevating modeling techniques and AI-assisted tooling adoption.
• Identify opportunities to optimize models and standardize best practices for faster delivery.

Conocimientos

Statistical modeling

ML & AI

Generative AI (LLM)

Data visualization

Mentoring/Leadership

Herramientas

ML frameworks

MLOps

LLM tooling

Descripción del empleo

Role Summary

Model Building (Pharma) L3 to L4 Any Hybrid As a Senior Data Scientist (Associate Scientist), you will take ownership of designing and validating advanced statistical, Machine Learning (ML), and Generative AI models to drive predictive insights for pharma forecasting, HCP targeting, and segmentation. Operating with high independence, you will partner with AI Engineering and commercial stakeholders to translate complex model outputs into actionable business decisions. In this role, you will also mentor junior analysts, ensure the rigor of AI-assisted development practices, and continuously elevate the accuracy and business relevance of predictive models across client engagements.

Responsibilities

• Design, develop, and validate statistical, Machine Learning (ML), and Large Language Models (LLM) to solve complex commercial pharma challenges such as forecasting and HCP targeting.
• Evaluate model performance, formulate hypotheses, and apply appropriate data science techniques to new datasets within a business context.
• Review and sign off on AI- or agent-generated modeling outputs, ensuring quality, accuracy, and adherence to industry guidelines before client delivery.
• Collaborate with AI Engineering and MLOps teams to facilitate seamless model deployment, monitoring, and handover.
• Guide and mentor less experienced analysts, elevating the team's modeling techniques, rigor, and adoption of AI-assisted tooling.
• Identify opportunities to optimize existing models, standardize best practices, and develop reusable accelerators to improve team delivery velocity.

Requisites

Requisites Experience 4-8 years of experience in data science and advanced analytics, including a proven track record of independent model development and mentoring junior team members.

Pharma is mandatory.