Lead Data Scientist

Lead Data Scientist

Virtusa · Colombo

Role Description

As a Lead Data Scientist, you will bridge the gap between advanced AI research and production-grade software engineering. You will be responsible for designing and deploying scalable, high-impact GenAI and machine learning solutions, while maintaining close collaboration with our UK-based teams. This role requires a proactive leader who thrives in a fast-paced environment and can translate complex business challenges into robust technical architectures.

Key Responsibilities

• Solution Architecture: Translate business problems into scalable, production-grade AI solutions and agentic frameworks.

• Technical Leadership: Drive the development of clean, maintainable, and efficient Python code, adhering to industry best practices.

• GenAI & LLM Management: Lead LLM fine-tuning, prompt engineering, and the deployment of agentic solutions using modern frameworks like LangChain and LangGraph.

• Data Engineering: Oversee complex data processing and transformation tasks using Pandas, NumPy, SQL, and PySpark.

• Operational Excellence: Manage containerization and orchestration workflows to ensure seamless deployment across production environments.

• Stakeholder Collaboration: Serve as a primary technical lead in an off-shore setting, building and maintaining strong relationships with UK-based stakeholders and cross-functional teams.

Knowledge & Experience

Education & Background

• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.

• Experience: 3+ years of professional experience in Software Engineering, Data Science, Machine Learning, or AI Engineering.

Technical Competencies

• Programming: Expert Python skills with familiarity in web frameworks such as FastAPI, Flask, or Django.

• GenAI/LLM: Hands-on experience developing and deploying GenAI applications in production, including experience with CI/CD pipelines.

• Data Tools: Deep expertise in data transformation; experience with distributed computing (Spark/Databricks) is highly preferred.

• Cloud & DevOps: Proficiency in containerization tools and exposure to cloud platforms, ideally Azure and Databricks.

Soft Skills

• Communication: Exceptional verbal and written communication skills for effective global collaboration.

• Agility: Ability to manage multiple projects simultaneously and adapt to a rapidly evolving technical landscape.

• Problem Solving: A strong analytical mindset with a focus on delivering measurable business value through technology.

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