Tech & Data Science Lead - Hybrid - London

JR United Kingdom; London; On-site; GBP 60,000 - 100,000; Full time

Job description

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Tech & Data Science Lead - Hybrid - London, London

Client:

Futureheads Recruitment | B Corp

Location:

London, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Views:

1

Posted:

30.03.2025

Expiry Date:

14.05.2025

Job Description:

Tech & Data Science Lead - Hybrid - London

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

1. Product Strategy & Innovation: Define and execute a vision for scalable, market-ready products that drive business value.
2. Client-Facing Leadership: Partner with senior stakeholders to pitch, deliver, and integrate products into broader marketing and business strategies.
3. Hands-on Technical Execution: Oversee and contribute to the development of machine learning models, data pipelines, and analytics platforms.
4. Stakeholder Engagement: Work closely with internal teams and external clients to identify opportunities and align technological capabilities with business needs.
5. Data Ecosystem Optimization: Leverage modern cloud-based infrastructures to enhance efficiency, scalability, and integrity in data storage and analytics.
6. Team Leadership: Mentor and guide a data science team, fostering a culture of collaboration, learning, and innovation.

What You Bring

1. Proven experience in leading data and tech-driven product innovation.
2. Strong expertise in machine learning, Python development, and data engineering.
3. Ability to translate complex data challenges into commercially viable solutions.
4. Experience engaging with senior leadership and clients to define strategy and deliver impactful products.
5. Knowledge of cloud-based data infrastructure (e.g., Microsoft Fabric or equivalent).
6. 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.