Data Science Team Lead
Posted 16 days ago · 0 applicants
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The role in plain words
This role involves managing a team of four Data Scientists and one Data Engineer while staying hands-on with Machine Learning and Generative AI development. You will oversee the full ML lifecycle from research to production deployment and collaborate with cross-functional stakeholders to deliver scalable business solutions.
- 2+ years of experience managing a Data Science team or leading a highly technical analytics team
- Strong hands-on experience developing and deploying Machine Learning models, including predictive modeling, classification, and related techniques
- Deep understanding of Generative AI, Large Language Models (LLMs), and practical implementation of AI solutions in business environments
- Strong programming skills in Python
- Strong programming skills in SQL
Extracted from the job description · kept up to date automatically
Who this suits
This role suits an experienced lead with at least 2 years of management experience and strong Python and SQL skills who enjoys balancing team leadership with hands-on technical execution. It is less ideal for candidates looking for a purely managerial position or those without machine learning deployment experience.
Full job description
Original listing · kept for referenceFull-Time Employee from Day One
Some Data Scientists love building models. Others love leading people. We're looking for someone who refuses to choose between the two.
We are seeking a Data Science Team Lead to lead a talented team while remaining hands-on with Machine Learning and Generative AI initiatives that make a real business impact. This role offers end-to-end ownership of AI and ML solutions in production, with a strong focus on delivering practical, scalable outcomes—not just experimenting with the latest trends.
If you're passionate about combining technical excellence, people leadership, and business value, we'd love to meet you.
What You'll Do
• Lead and mentor a team of 4 Data Scientists and 1 Data Engineer, providing technical guidance, coaching, and prioritization.
• Own the end-to-end lifecycle of Machine Learning models, from research and experimentation through development, deployment, and ongoing optimization.
• Drive the team's Generative AI strategy by identifying business opportunities and implementing solutions powered by LLMs and other advanced AI technologies.
• Collaborate closely with cross-functional stakeholders to translate business needs into impactful AI solutions.
• Promote engineering best practices, scalable ML development, and continuous improvement across the team.
What We're Looking For
• 2+ years of experience managing a Data Science team or leading a highly technical analytics team.
• Strong hands-on experience developing and deploying Machine Learning models, including predictive modeling, classification, and related techniques.
• Deep understanding of Generative AI, Large Language Models (LLMs), and practical implementation of AI solutions in business environments.
• Strong programming skills in Python and SQL.
• Experience working in the financial services industry is a significant advantage.
• Excellent leadership, communication, and stakeholder management skills.
• Systems thinking, creativity, and the ability to thrive in a fast-paced, cross-functional environment.
Why Join Us?
• Be a full-time company employee from your first day.
• Hybrid work model with flexibility.
• Lead production-grade AI initiatives that directly influence business outcomes.
• Work with modern AI technologies in a collaborative, innovation-driven environment.
• Join a company where technical leadership and business impact go hand in hand.
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- Hybrid
- 2+ years of experience managing a Data Science team or leading a highly technical analytics team, Strong hands-on experience developing and deploying Machine Learning models, including predictive modeling, classification, and related techniques, Deep understanding of Generative AI, Large Language Models (LLMs), and practical implementation of AI solutions in business environments, Strong programming skills in Python, Strong programming skills in SQL