Job description
Lead Data Science Engineer
Hybrid - 2 days a week
Competitive salary + excellent benefits
About the Role:
A forward-thinking tech company is seeking a Lead Data Science Engineer to join their growing data function. This is a strategic, hands-on role where you'll design and build modern data infrastructure, guide the deployment of machine learning models, and shape the delivery of data-driven products and APIs. You'll lead technical initiatives while working closely with data engineers, scientists, architects, and product stakeholders to ensure real-world impact through data.
What You'll Be Doing:
1. Architect and implement scalable pipelines and data systems that power advanced analytics and ML applications
2. Lead the rollout of data products, including APIs and secure data delivery mechanisms for clients and internal use
3. Partner with cross-functional teams to align data solutions with wider business goals
4. Take ownership of productionising ML models and integrating them into operational systems
5. Improve access to data through the development of self-serve analytics tools
6. Support data quality, privacy, and governance across platforms
7. Explore emerging tools and methods to keep our stack future-ready
What We're Looking For:
8. Strong background in data science or ML engineering, with leadership or senior-level experience
9. Advanced skills in Python and strong fluency in SQL
10. Experience working in cloud-based environments (preferably Azure)
11. Hands-on experience with tools such as Postgres, Langchain, Ollama, Polars, GitLab CI/CD, and Unix-based systems
12. Proven track record of deploying ML models into production and managing lifecycle
13. Comfortable designing data services/APIs and supporting self-serve analytics platforms
14. Solid understanding of data privacy regulations (e.g. GDPR), and best practice in security and governance
15. Excellent communication skills and the ability to influence both technical and business audiences
Nice to Have:
16. Familiarity with Docker, Kubernetes, or infrastructure automation tools like Ansible
17. Agile experience and strong stakeholder presentation skills
Why Join?
You'll be working in a collaborative, purpose-driven environment where data is central to innovation. With the backing of a well-established organisation and the autonomy of a modern data team, you'll shape high-impact systems and products that make a difference to real users.