Data Scientist-Gen AI

Date: 15 Jun 2026

Location:

Bangalore, KA, IN, 560100

Division: Essential Functions

Job Title: Data Scientist - Gen AI

Job Location: Bangalore

About Syngene : Syngene (www.syngeneintl.com) is an innovation-led contract research, development and manufacturing organization offering integrated scientific services from early discovery to commercial supply.

At Syngene, safety is at the heart of everything we do personally and professionally. Syngene has placed safety at par with business performance with shared responsibility and accountability, including following safety guidelines, procedures and SOPs, in letter and spirit

Mandatory expectation for all roles as per Syngene safety guidelines

• Overall adherence to safe practices and procedures of oneself and the teams aligned
• Contributing to development of procedures, practices and systems that ensures safe operations and compliance to company’s integrity & quality standards
• Driving a corporate culture that promotes environment, health, and safety (EHS) mindset and operational discipline at the workplace at all times.
• Ensuring safety of self, teams and lab/plant by adhering to safety protocols and following environment, health, and safety (EHS) requirements at all times in the workplace.
• Ensure all assigned mandatory trainings related to data integrity, health, and safety measures are completed on time by all members of the team including self
• Compliance to Syngene’ s quality standards at all times
  
  

Role Overview

We are seeking a highly skilled Data Scientist – Generative AI to design, build, and scale AI/GenAI solutions across enterprise and scientific workflows.

The role will focus on applying LLMs, Agentic AI, and advanced machine learning techniques to drive innovation, automation, and decision intelligence across Syngene’s Digital & AI initiatives.

Key Responsibilities

GenAI & Advanced AI Development

• Design and develop Generative AI solutions using LLMs for enterprise and research use cases
• Build and optimize prompt engineering frameworks, RAG pipelines, and agentic workflows
• Fine-tune and deploy foundation models for domain-specific applications
  
  

Data Science & Analytics

• Develop machine learning and deep learning models for predictive and prescriptive analytics
• Perform data analysis, feature engineering, and model validation
• Build scalable AI pipelines and APIs for enterprise integration
• Work with engineering teams for production deployment (MLOps pipelines, monitoring, optimization)
• Ensure model performance, scalability, and reliability
  
  

Stakeholder Collaboration

• Collaborate with business, scientific, and IT teams to identify AI opportunities
• Translate business problems into AI-driven solutions
• Present insights and AI solutions to stakeholders and leadership
  
  

Governance & Responsible AI

• Ensure compliance with data governance and regulatory standards (e.g., GxP where applicable)
• Implement Responsible AI practices (fairness, explainability, bias mitigation)
  
  

Syngene Values

All employees will consistently demonstrate alignment with our core values

• Excellence
• Integrity
• Professionalism
  
  

Education & Experience

• Master’s degree in Computer Science, Data Science, AI/ML, or related field
• Manages well-defined tasks in Data Science / AI domain
• Hands-on experience in Generative AI / LLM-based solution development
  
  

Technical Skills

Preferred Skills & Expertise

• Strong proficiency in Python (NumPy, Pandas, PyTorch, TensorFlow)
• Experience with LLMs, prompt engineering, RAG, vector databases (FAISS, Pinecone, etc.)
• Knowledge of NLP, deep learning, and AI frameworks
• Exposure to Agentic AI architectures
• Experience with cloud platforms (Azure/AWS/GCP)
  
  

Data & Domain

• Experience working with structured and unstructured datasets
• Knowledge of data pipelines and analytics workflows
• Exposure to life sciences/pharma domain (preferred)
  
  

Soft Skills

• Strong analytical and problem-solving skills
• Good communication and storytelling ability
• Ability to work in cross-functional teams
  
  

Equal Opportunity Employer

It is the policy of Syngene to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by applicable legislation or local law. In addition, Syngene will provide reasonable accommodation for qualified individuals with disabilities.