Data Scientist

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

 

Core Purpose of the Role:

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.

 

Role Accountabilities:

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 deploying 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

 

Preferred Skills & Expertise

Technical Skills

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

 

Experience & Qualifications

Master’s degree in computer science, Data Science, AI/ML, or related field

Manage well-defined tasks in Data Science / AI domain

Hands-on experience in Generative AI / LLM-based solution development

 

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.