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Tech & Data Science Lead - Hybrid - London

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London

Hybrid

GBP 125,000 - 150,000

4 days ago
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Job summary

An innovative firm is looking for a Tech & Data Science Lead to spearhead the development of cutting-edge, data-driven solutions. This role involves shaping AI-powered insights platforms and scalable products across various industries, including FMCG and healthcare. The ideal candidate will blend strategic vision with hands-on technical execution, managing a high-performing data science team while engaging with senior leadership and clients. If you are passionate about leveraging data and driving innovation, this opportunity offers a chance to make a significant impact in a dynamic environment.

Qualifications

  • Proven experience in leading data and tech-driven product innovation.
  • Strong expertise in machine learning and Python development.

Responsibilities

  • Define and execute a vision for scalable, market-ready products.
  • Oversee development of machine learning models and data pipelines.

Skills

Machine Learning

Python Development

Data Engineering

Stakeholder Engagement

Product Innovation

Tools

Microsoft Fabric

Cloud-Based Infrastructure

Job description

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

  • 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.

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