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 aLead Data Science Engineerto 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:
Architect and implement scalable pipelines and data systems that power advanced analytics and ML applications
Lead the rollout of data products, including APIs and secure data delivery mechanisms for clients and internal use
Partner with cross-functional teams to align data solutions with wider business goals
Take ownership of productionising ML models and integrating them into operational systems
Improve access to data through the development of self-serve analytics tools
Support data quality, privacy, and governance across platforms
Explore emerging tools and methods to keep our stack future-ready
What We're Looking For:
Strong background indata science or ML engineering, with leadership or senior-level experience
Advanced skills inPythonand strong fluency inSQL
Experience working incloud-based environments(preferably Azure)
Hands-on experience with tools such asPostgres, Langchain, Ollama, Polars, GitLab CI/CD, and Unix-based systems
Proven track record of deploying ML models into production and managing lifecycle
Comfortable designingdata services/APIsand supporting self-serve analytics platforms
Solid understanding ofdata privacy regulations(e.g. GDPR), and best practice in security and governance
Excellent communication skills and the ability to influence both technical and business audiences
Nice to Have:
Familiarity withDocker, Kubernetes, or infrastructure automation tools likeAnsible
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.
