Technical Lead (Data Science)

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

Job summary

A leading software provider seeks a Technical Lead in Data Science & Engineering to shape a unified data platform. This hands-on leadership role combines technical expertise with mentoring while driving innovative solutions across cloud and hybrid environments.

Benefits

Competitive salary + benefits

Focus on inclusion, innovation, and collaboration

Opportunity for professional growth and mentoring

Qualifications

• Extensive experience in data science or machine learning engineering.
• Proven leadership within technical teams in cloud-first environments.
• Solid understanding of model lifecycle management including MLflow.

Responsibilities

• Architect and scale a modern data platform and DaaS infrastructure.
• Lead and mentor a team of data scientists and engineers.
• Oversee deployment and monitoring of machine learning models.

Skills

Data Science

Machine Learning Engineering

Python

SQL

MLOps

Data Governance

Communication Skills

Education

Degree in Data Science, Computer Science, or Statistics

Tools

Docker

Kubernetes

Job description

Technical Lead - Data Science & Engineering

Hybrid - Two Days a week
Competitive salary + benefits

About the Role:
An exciting opportunity has arisen for a Technical Lead to drive innovation across data science and engineering initiatives within a growing and forward-thinking software provider. You'll play a key role in shaping a unified data platform and delivering high-impact machine learning and data solutions across cloud and hybrid environments. This is a hands-on leadership role, combining deep technical expertise with mentoring and cross-functional collaboration.

What You'll Be Doing:

• Architect and scale a modern data platform and DaaS (Data-as-a-Service) infrastructure

• Lead and mentor a team of data scientists and engineers across multiple projects

• Oversee the deployment and monitoring of machine learning models in production

• Define coding standards and implement best practices in CI/CD, MLOps, and API delivery

• Collaborate with business, product, and engineering teams to align data strategy with commercial goals

• Champion data governance, security, and compliance throughout the data lifecycle

• Evaluate and introduce new technologies to enhance performance, scalability, and maintainability

What We're Looking For:

• Extensive experience in data science, machine learning engineering, or data platform architecture

• Proven leadership within technical teams, ideally in cloud-first environments (Azure, AWS, or GCP)

• Proficiency in Python, SQL, and cloud-native data tools

• Solid understanding of MLOps, including model lifecycle management (e.g. MLflow), containers (Docker/Kubernetes), and monitoring

• Experience delivering Data-as-a-Service products and APIs

• Excellent communication skills - able to explain complex concepts to both technical and non-technical audiences

• Strong grounding in data governance, security, and privacy standards

• Degree (or higher) in a relevant field such as Data Science, Computer Science, or Statistics

Desirable:

• Familiarity with both object-oriented and functional programming paradigms

Why Join?

You'll be joining a values-led organisation with a strong focus on inclusion, innovation, and collaboration. The company is investing heavily in its data capabilities, offering you the opportunity to influence technical strategy, mentor others, and build cutting-edge solutions in a supportive, forward-looking environment.