Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the development of innovative, data-driven solutions and manage a high-performing data science team.
- Company: Join a forward-thinking company shaping AI-powered insights across various industries.
- Benefits: Enjoy hybrid work flexibility, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of tech innovation, influencing strategy and making a real impact.
- Qualifications: Experience in data-driven product innovation, machine learning, and engaging with senior stakeholders required.
- Other info: Ideal for those passionate about technology and eager to lead in a dynamic environment.
The predicted salary is between 43200 - 72000 £ per year.
We are seeking a visionary Technology & Product Lead to drive the development and execution of cutting-edge, data-driven solutions. You will play a pivotal role in shaping AI-powered insights platforms and scalable, revenue-generating products across industries such as FMCG, financial services, healthcare, and retail. This role combines strategy, stakeholder engagement, and hands-on development. You will influence senior leadership, manage a high-performing data science team, and ensure the effective integration of data-driven solutions into business strategies.
Key Responsibilities
- Product Strategy & Innovation: Define and execute a vision for scalable, market-ready products that drive business value.
- Client-Facing Leadership: Partner with senior stakeholders to pitch, deliver, and integrate products into broader marketing and business strategies.
- Hands-on Technical Execution: Oversee and contribute to the development of machine learning models, data pipelines, and analytics platforms.
- Stakeholder Engagement: Work closely with internal teams and external clients to identify opportunities and align technological capabilities with business needs.
- Data Ecosystem Optimization: Leverage modern cloud-based infrastructures to enhance efficiency, scalability, and integrity in data storage and analytics.
- Team Leadership: Mentor and guide a data science team, fostering a culture of collaboration, learning, and innovation.
What You Bring
- Proven experience in leading data and tech-driven product innovation.
- Strong expertise in machine learning, Python development, and data engineering.
- Ability to translate complex data challenges into commercially viable solutions.
- Experience engaging with senior leadership and clients to define strategy and deliver impactful products.
- Knowledge of cloud-based data infrastructure (e.g., Microsoft Fabric or equivalent).
- Hands-on approach—comfortable switching between high-level strategy and technical execution.
If you're passionate about leveraging data, leading innovation, and making an impact, we’d love to hear from you.
Tech & Data Science Lead - Hybrid - London employer: Futureheads Recruitment | B Corp™
Contact Detail:
Futureheads Recruitment | B Corp™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Tech & Data Science Lead - Hybrid - London
✨Tip Number 1
Familiarise yourself with the latest trends in AI and data science. Being able to discuss recent advancements or case studies during your conversations will demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the tech and data science sectors. Attend industry events or webinars where you can meet potential colleagues or stakeholders, as personal connections can often lead to job opportunities.
✨Tip Number 3
Prepare to showcase your hands-on experience with machine learning and Python. Be ready to discuss specific projects you've worked on, as practical examples can set you apart from other candidates.
✨Tip Number 4
Understand the business landscape of the industries mentioned in the job description. Tailoring your discussions to how data-driven solutions can impact sectors like FMCG or healthcare will show your strategic thinking and relevance to the role.
We think you need these skills to ace Tech & Data Science Lead - Hybrid - London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in leading data and tech-driven product innovation. Emphasise your expertise in machine learning, Python development, and data engineering, as these are crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for leveraging data and leading innovation. Discuss how your background aligns with the responsibilities of the Tech & Data Science Lead position and provide specific examples of past successes.
Showcase Leadership Skills: Demonstrate your ability to engage with senior leadership and clients by including examples of how you've successfully defined strategy and delivered impactful products in previous roles.
Highlight Technical Proficiency: Clearly outline your hands-on technical skills, particularly in developing machine learning models and managing cloud-based data infrastructures. Mention any relevant tools or platforms you have experience with, such as Microsoft Fabric.
How to prepare for a job interview at Futureheads Recruitment | B Corp™
✨Showcase Your Vision
Be prepared to articulate your vision for data-driven products. Think about how you can leverage AI and machine learning to create innovative solutions that align with business strategies. This will demonstrate your strategic thinking and understanding of the role.
✨Engage with Stakeholders
Since the role involves client-facing leadership, practice how you would engage with senior stakeholders. Prepare examples of how you've successfully pitched and integrated products in the past, highlighting your ability to communicate complex ideas clearly.
✨Demonstrate Technical Expertise
Brush up on your technical skills, especially in Python development and machine learning. Be ready to discuss specific projects where you've developed data pipelines or analytics platforms, showcasing your hands-on experience.
✨Highlight Team Leadership Skills
Prepare to discuss your experience in mentoring and leading teams. Share examples of how you've fostered collaboration and innovation within your team, as this is crucial for the role of a Tech & Data Science Lead.
