Technical Lead (Data Science)

Overview

Open GI West Midlands, United Kingdom. We are seeking a Technical Lead for Data Science & Engineering to provide hands-on technical leadership across our data initiatives. You will oversee the design and delivery of end-to-end data pipelines, production ML workflows, and DaaS capabilities, while guiding a multidisciplinary team of data scientists and engineers. You will be a key architect and implementer of our unified data platform, setting coding standards, championing data governance, and ensuring the delivery of performant, secure, and maintainable data systems. This role combines deep technical acumen with strong leadership and cross-functional collaboration. This is a hybrid role requiring in-office attendance at our Winchester or Worcester office twice a week, within 50 miles of one of these offices.

We would love for each employee to talk with pride about our company and consider Open GI to be an inclusive, fun and fulfilling place to work.

Responsibilities

• Lead the architecture, development, and scaling of the data platform and DaaS infrastructure across cloud and hybrid environments.
• Act as the technical authority for data science and data engineering within the team, providing direction on tools, patterns, and technologies.
• Collaborate with engineering, product, and business stakeholders to define data strategy, deliverables, and timelines.
• Mentor and support data scientists and engineers in delivering production-ready code, CI/CD pipelines, and monitoring practices.
• Oversee deployment and monitoring of ML models, ensuring high availability, explainability, and ethical use.
• Design and manage APIs to deliver Self Serve Data solutions to clients and internal teams.
• Evaluate and introduce new technologies that enhance scalability, performance, and maintainability of our data infrastructure.

Qualifications

• Required: Advanced degree in Data Science, Computer Science, Mathematics, Statistics, or related field.
• Experience in data science, machine learning engineering, or data platform engineering, with recent lead or architect-level responsibilities.
• Proven experience designing and implementing large-scale data systems in cloud environments (AWS, Azure, or GCP).
• Strong experience with MLOps, model lifecycle management, MLflow, and containerization tools (Docker, Kubernetes).
• Experience creating and scaling Data-as-a-Service solutions or data product APIs.
• Prior experience in insurance, financial services, or highly regulated environments is highly desirable.
• Proficiency in Python, SQL, and cloud-native data engineering tools; ability to communicate findings to technical and non-technical audiences.
• Understanding of data governance, privacy regulations, and security practices.
• Ability to build and lead high-performing technical teams, foster collaboration, and mentor others.

Aptitudes

• Decisive; clear communicator; strong work ethic; positive attitude; delivery-focused; logically minded; encourages collaboration across departments; calm under pressure.

Mission and Values

• Accountability: We own our actions and shape our success on the results we deliver
• Innovation: We tackle challenges with fresh thinking and bold ideas
• Teamwork: We work together, recognising we can’t do this without each other
• Trust: We build trust on integrity, transparency and mutual respect

Benefits

• A competitive salary depending on skills and experience
• Company pension
• Bonus opportunity
• Life assurance and critical illness cover
• Cycle to work scheme
• Perkbox – exclusive platform offering discounts and benefits
• Holiday entitlement of 25 days per annum, increasing to 26 days after three years; holiday purchase scheme
• Hybrid work approach
• Flexible start/finish times to accommodate events outside of work
• Social clubs and wellbeing resources, including employee assistance programme

How to apply

Please fill out the application form and send us your CV. LNKD1_UKTJ