Tech & Data Science Lead - Hybrid - London
Tech & Data Science Lead - Hybrid - London

Tech & Data Science Lead - Hybrid - London

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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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 and opportunities for professional growth in a dynamic environment.
  • 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 collaborative culture.

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™

As a leading employer in the heart of London, we offer an inspiring work culture that champions innovation and collaboration. Our hybrid working model provides flexibility while fostering a dynamic environment where your contributions directly influence cutting-edge AI solutions across diverse industries. With ample opportunities for professional growth and a commitment to employee development, you will thrive in a role that not only challenges you but also rewards your passion for technology and data science.
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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

Network with professionals in the tech and data science fields, especially those who have experience in AI-powered solutions. Attend industry events or webinars to connect with potential colleagues and leaders who can provide insights into the role and company culture.

Tip Number 2

Familiarise yourself with the latest trends in machine learning and data engineering. Being able to discuss recent advancements or case studies during interviews can demonstrate your passion and expertise in the field.

Tip Number 3

Prepare to showcase your leadership skills by thinking of examples where you've successfully managed teams or projects. Highlighting your ability to mentor and guide others will resonate well with our focus on team leadership.

Tip Number 4

Research our current products and any recent innovations we’ve implemented. Being knowledgeable about our offerings will allow you to engage in meaningful conversations about how you can contribute to our product strategy and innovation.

We think you need these skills to ace Tech & Data Science Lead - Hybrid - London

Product Strategy Development
Machine Learning Expertise
Python Development
Data Engineering
Stakeholder Engagement
Cloud-Based Infrastructure Knowledge
Team Leadership and Mentoring
Data Pipeline Development
Analytics Platform Management
Commercial Viability Assessment
Technical Execution Skills
Collaboration and Communication
Innovation and Creativity
Business Strategy Alignment

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. Include examples of how you've successfully defined strategy and delivered impactful products in previous roles.

Highlight Technical Proficiency: Clearly outline your hands-on experience with cloud-based data infrastructure, such as Microsoft Fabric or equivalent. Mention any relevant projects where you oversaw the development of machine learning models or data pipelines.

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 and machine learning. Be ready to discuss specific projects where you've developed data pipelines or analytics platforms, showcasing your hands-on experience and problem-solving abilities.

Highlight Team Leadership Skills

Prepare to discuss your experience in leading and mentoring teams. Share examples of how you've fostered a collaborative culture and driven innovation within your team, as this is crucial for the role.

Tech & Data Science Lead - Hybrid - London
Futureheads Recruitment | B Corp™
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