Lead Data Science Engineer

Hewett Recruitment; Worcester; Hybrid; GBP 70,000 - 100,000; Full time

Job summary

A forward-thinking tech company seeks a Lead Data Science Engineer to design and build data infrastructure. You'll lead initiatives, collaborate with cross-functional teams, and ensure the successful deployment of machine learning models while upholding data privacy and governance standards.

Qualifications

• Strong background in data science or ML engineering with leadership experience.
• Advanced skills in Python and fluency in SQL.
• Experience in cloud-based environments, preferably Azure.

Responsibilities

• Architect and implement scalable pipelines and data systems.
• Lead rollout of data products including APIs.
• Take ownership of productionizing ML models.

Skills

Data science

Machine learning engineering

Python

SQL

Data privacy regulations

Communication

Tools

Postgres

Docker

Kubernetes

Langchain

Ollama

Polars

GitLab CI/CD

Unix-based systems

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:

• 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 in data science or ML engineering, with leadership or senior-level experience

• Advanced skills in Python and strong fluency in SQL

• Experience working in cloud-based environments (preferably Azure)

• Hands-on experience with tools such as Postgres, Langchain, Ollama, Polars, GitLab CI/CD, and Unix-based systems

• Proven track record of deploying ML models into production and managing lifecycle

• Comfortable designing data services/APIs and supporting self-serve analytics platforms

• Solid understanding of data 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 with Docker, Kubernetes, or infrastructure automation tools like Ansible

• 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.