Lead Data Scientist

Overview We are seeking an experienced Lead Data Scientist to design, develop, and deploy advanced AI and machine learning solutions that solve complex business challenges. This role requires hands-on expertise across the full data science lifecycle, from data exploration and model development to deployment and monitoring, while leading projects and collaborating with cross-functional teams. Key Responsibilities Design, build, and deploy AI, Machine Learning, Deep Learning, and Generative AI solutions. Translate business challenges into scalable data science solutions. Perform data extraction, preparation, analysis, feature engineering, model training, and evaluation. Develop proof-of-concepts, prototypes, and production-ready models. Deploy, monitor, maintain, and optimize machine learning solutions. Present technical findings and recommendations to technical and business stakeholders. Lead end-to-end data science initiatives and mentor team members. Collaborate with cross-functional engineering and product teams. Contribute to innovation through research, experimentation, and knowledge sharing. 7–10+ years of experience building and deploying machine learning and AI solutions (5+ years may be considered with a relevant Ph.D.). Strong expertise in Machine Learning, Deep Learning, Generative AI, LLMs, RAG, Vector Databases, and Agentic AI frameworks. Advanced programming experience with Python, PySpark, and SQL. Experience with ML/DL frameworks and cloud platforms such as AWS or Azure. Hands-on experience with Databricks and Hadoop. Strong understanding of data governance, privacy, and responsible AI practices. Excellent analytical, problem-solving, and communication skills. Master's degree in Computer Science, Data Science, Mathematics, Statistics, or a related quantitative field (Ph.D. is an asset).

Design, develop, and deploy advanced AI and machine learning solutions to solve complex business challenges. Lead end-to-end data science initiatives while mentoring team members and collaborating with cross-functional teams.

Requires 7-10+ years of experience in AI/ML deployment and a Master's or Ph.D. in a quantitative field. Expertise in Generative AI, LLMs, and cloud platforms like AWS or Azure is essential.

Identified from the job description. Confirm important requirements above.

• Machine Learning
• Deep Learning
• Generative AI
• LLMs
• RAG
• Vector Databases
• Agentic AI
• Python
• PySpark
• SQL
• AWS
• Azure
• Databricks
• Hadoop
• Data Governance
• Responsible AI

• Data & Analytics
• Technology
• Software
• Science & Research
• Consulting

Minimum education

Master’s degree

Minimum experience

10+ years

Apply by

Jan 24, 2027

Posting language

English

Working hours

40 hours per week

Seniority

Not Applicable