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- Tasks: Lead the development of scalable data platforms and mentor a dynamic team.
- Company: Join a tech-driven leader in the insurance software industry.
- Benefits: Enjoy a hands-on leadership role with opportunities for innovation and growth.
- Why this job: Make a real impact in data transformation while working in an inclusive culture.
- Qualifications: Extensive experience in data science, ML engineering, or data platform engineering required.
- Other info: Ideal for those passionate about cloud technologies and MLOps practices.
The predicted salary is between 43200 - 72000 £ per year.
Our client, a technology-driven leader in the insurance software space, is seeking a Technical Lead - Data Science & Engineering to help architect and scale their unified data platform and Data-as-a-Service (DaaS) capabilities. This is a hands-on leadership role ideal for someone who thrives at the intersection of data engineering, machine learning, and modern cloud infrastructure. You will provide technical direction to a growing team of engineers and data scientists while collaborating with cross-functional stakeholders across product, engineering, and the wider business.
Key Responsibilities:
- Lead the architecture and development of scalable data platforms and DaaS infrastructure (cloud & hybrid).
- Define best practices and technical standards across data engineering and ML workflows.
- Mentor and guide a multidisciplinary team, promoting robust CI/CD and monitoring strategies.
- Oversee deployment and governance of ML models in production environments.
- Collaborate on the design of secure, scalable data APIs for self-serve analytics.
- Evaluate and introduce new tools and technologies to drive performance and scalability.
Required Experience:
- Extensive background in data science, ML engineering, or data platform engineering.
- Experience in a recent technical lead or architect-level role.
- Proven delivery of large-scale data systems using cloud platforms (AWS, Azure, or GCP).
- Deep knowledge of MLOps practices (MLflow, Docker, Kubernetes, etc.).
- Demonstrated experience in building Data-as-a-Service (DaaS) solutions or data APIs.
- Strong stakeholder engagement and mentoring skills.
Desirable:
- Experience in insurance, financial services, or other regulated environments.
This is an exciting opportunity to lead high-impact data transformation in a company that values innovation, inclusion, and technical excellence.
Data Technical Lead in Worcester employer: FBI &TMT
Contact Detail:
FBI &TMT Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Technical Lead in Worcester
✨Tip Number 1
Familiarise yourself with the latest trends in data engineering and machine learning. Being well-versed in current technologies and methodologies will not only boost your confidence but also demonstrate your commitment to staying ahead in the field.
✨Tip Number 2
Network with professionals in the insurance software space. Attend industry meetups or webinars to connect with potential colleagues and learn about their experiences. This can provide valuable insights and may even lead to referrals.
✨Tip Number 3
Showcase your leadership skills by sharing examples of how you've successfully mentored teams or led projects in the past. Be prepared to discuss specific challenges you faced and how you overcame them during interviews.
✨Tip Number 4
Research the company’s existing data platforms and DaaS capabilities. Understanding their current infrastructure will allow you to speak knowledgeably about how you can contribute to their goals and improve their systems.
We think you need these skills to ace Data Technical Lead in Worcester
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Technical Lead position. Tailor your application to highlight your relevant experience in data engineering, machine learning, and cloud infrastructure.
Highlight Relevant Experience: In your CV and cover letter, emphasise your extensive background in data science and ML engineering. Provide specific examples of large-scale data systems you've delivered, particularly using cloud platforms like AWS, Azure, or GCP.
Showcase Leadership Skills: Since this is a hands-on leadership role, be sure to mention any previous experience in mentoring teams or leading projects. Highlight your ability to define best practices and technical standards, as well as your stakeholder engagement skills.
Craft a Compelling Cover Letter: Use your cover letter to tell a story about your passion for data transformation and innovation. Discuss how your skills align with the company's goals and how you can contribute to their DaaS capabilities and data platform architecture.
How to prepare for a job interview at FBI &TMT
✨Showcase Your Technical Expertise
Be prepared to discuss your extensive background in data science and ML engineering. Highlight specific projects where you've led the architecture of scalable data platforms or DaaS solutions, especially using cloud platforms like AWS, Azure, or GCP.
✨Demonstrate Leadership Skills
Since this role involves mentoring a multidisciplinary team, share examples of how you've successfully guided teams in the past. Discuss your approach to promoting best practices in CI/CD and monitoring strategies.
✨Engage with Stakeholders
Prepare to talk about your experience in collaborating with cross-functional stakeholders. Provide examples of how you've effectively communicated technical concepts to non-technical teams and ensured alignment on project goals.
✨Stay Updated on Tools and Technologies
Familiarise yourself with the latest tools and technologies in data engineering and MLOps. Be ready to discuss any new tools you've evaluated or introduced in previous roles that improved performance and scalability.
