Head of Data Science

Head of Data Science

London Full-Time 80000 - 120000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead a dynamic team in deploying advanced data solutions for clients.
  • Company: Join a mission-driven company transforming data into impactful insights for the public sector.
  • Benefits: Enjoy a competitive salary, flexible remote work, and 25 days annual leave.
  • Why this job: Be part of a rapidly growing team making a real difference in society.
  • Qualifications: 6+ years in data analytics, with leadership experience and strong communication skills.
  • Other info: Hybrid work model with occasional travel to London office and client sites.

The predicted salary is between 80000 - 120000 £ per year.

Head of Data Science/Analytics & Consulting | London | £95,000 – £100,000 | Hybrid 2 Days a Week In Office

The Role

Looking for a dynamic leader to establish and guide a newly created client-focused team responsible for configuring and deploying an advanced data platform. This team ensures the smooth implementation of software, data extraction, engineering, analytics, product setup, and dashboard development while working closely with clients to meet their needs.

The Data & Analytics Consulting team is composed of versatile professionals, each proficient in managing all technical aspects (Engineering, Science, Analytics) of client implementations and supporting them throughout the deployment process.

This team works in close partnership with Business Consultants, who oversee the non-technical aspects of delivery, as well as other key departments such as Information Governance (security and compliance), Platform Development (core product innovation), and Quality Assurance (testing and validation).

As the Head of Data & Analytics Consulting, you will oversee the technical deployment process from end to end, ensuring efficient and high-quality client implementations. You will develop a scalable approach for deployments, contributing to the organisation’s goal of delivering impactful data solutions across the public sector.

You will also serve as a key liaison between the organisation and its parent company, a leading operations consultancy. In this role, you will collaborate with sales and programme leaders to shape future engagements, define commitments, and manage any technical escalations.

Key Responsibilities

Team Leadership & Development

  • Oversee, mentor, and grow the Digital Engagement team.
  • Provide guidance, training, and career development opportunities.

Deployment & Process Management

  • Design, refine, and optimise the client deployment framework.
  • Develop and implement scalable operating models and processes.

Cross-Team Collaboration

  • Partner with Platform Development to improve integration and testing.
  • Continuously enhance the client experience during implementation.
  • Contribute to product development based on client feedback.
  • Work closely with Business Consultants to ensure a coordinated approach.

Technical & Client Leadership

Guide and support your team in:

  • Data extraction – Assisting client technical teams in configuring extraction tools, refining scripts, and ensuring clean data outputs.
  • Data insights – Uncovering key trends in client data and presenting meaningful insights to inform their strategies.
  • Predictive models – Customising existing models to meet client needs and assessing feasibility for new analytics solutions.
  • Cohort analysis – Defining target groups, testing interventions, and iterating approaches based on client feedback.
  • Dashboard development – Customising Power BI reports to align with client requirements.

Communication

  • Present technical concepts to clients in a clear and accessible manner.
  • Equip your team with the skills to communicate complex solutions effectively.

Stakeholder Engagement

  • Act as the primary escalation contact for technical deployment challenges.
  • Collaborate with sales and programme leaders to assess project feasibility.
  • Ensure seamless coordination between technical and business teams.

Requirements

  • 6+ years of experience in data and analytics, covering engineering, analytics, and dashboard creation (Power BI/Tableau).
  • 6+ years of experience managing complex technical projects for clients, with the ability to navigate challenges and keep initiatives on track.
  • 3+ years of leadership experience, coaching teams and fostering professional growth.
  • A strategic mindset for building efficient and effective operational processes.
  • Strong analytical skills with the ability to transform data into actionable insights.
  • Excellent communication and stakeholder engagement abilities, capable of translating technical details into business value.
  • Proven project management skills, ensuring projects are completed on time and deliver tangible results.
  • A commitment to using data for positive social change.

Desirable Skills:

  • Experience working with public sector organisations or as a consultant/vendor to government clients.
  • Understanding of data privacy, security, and information governance.

About the Company

They empower organisations to leverage data for better decision-making and social impact. By working with public sector clients, they enable them to proactively address complex societal challenges like financial vulnerability and housing instability.

Their approach integrates disparate datasets, applies cutting-edge machine learning, and utilises predictive analytics to pinpoint those most in need. Our platform transforms this information into actionable insights, equipping professionals with the tools to intervene early and drive meaningful change.

In the past year, they’ve experienced significant growth, expanding the team, increasing our client base, and scaling our impact. Now supporting over 20 local councils in areas such as financial inclusion, social care, homelessness prevention, and justice services.

This is a pivotal time to join. They’re evolving rapidly, onboarding new clients, enhancing their platform, and exploring new opportunities. While technology is at the core of the work, their ultimate mission is to improve lives – and they’re looking for dedicated individuals who share this vision.

Location & Working Arrangements

Hybrid work model allows for remote flexibility, with occasional in-office collaboration. This role requires travel to the London office 1-2 days per week, along with occasional client site visits as necessary.

What We Offer

  • A competitive salary, reviewed annually.
  • The opportunity to contribute to impactful, mission-driven projects.
  • A flexible working environment focused on outcomes rather than hours worked.
  • Remote work options, aside from in-person meetings and client visits.
  • 25 Days Annual leave + Bank Holidays
  • Private Medical Insurance
  • And much more

If you’re passionate about using data to create real-world impact, please apply and I will give you a call.

Head of Data Science employer: SR2 | Socially Responsible Recruitment | Certified B Corporation™

Join a forward-thinking organisation that empowers its employees to leverage data for meaningful social impact. With a strong focus on professional growth, the company offers a flexible hybrid working model, competitive salary, and comprehensive benefits including private medical insurance and generous annual leave. As part of a dynamic team in London, you will have the opportunity to lead innovative projects that address complex societal challenges while collaborating with passionate professionals dedicated to making a difference.
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Contact Detail:

SR2 | Socially Responsible Recruitment | Certified B Corporation™ Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Head of Data Science

Tip Number 1

Network with professionals in the data science and analytics field, especially those who have experience in public sector projects. Attend industry events or webinars to connect with potential colleagues and learn about the latest trends in data deployment.

Tip Number 2

Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Power BI and Tableau. Consider taking online courses or certifications to enhance your skills and demonstrate your commitment to continuous learning.

Tip Number 3

Prepare to discuss your leadership style and experiences in managing technical teams. Think of examples where you successfully guided a team through complex projects, focusing on how you fostered collaboration and professional growth.

Tip Number 4

Research the company’s recent projects and initiatives, particularly those related to social impact. Be ready to articulate how your background aligns with their mission and how you can contribute to their goals in improving lives through data.

We think you need these skills to ace Head of Data Science

Data Engineering
Data Analytics
Dashboard Development (Power BI/Tableau)
Project Management
Team Leadership
Client Engagement
Technical Communication
Predictive Modelling
Cohort Analysis
Data Extraction Techniques
Stakeholder Management
Operational Process Design
Analytical Skills
Problem-Solving Skills
Understanding of Data Privacy and Security

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data science, analytics, and project management. Emphasise your leadership roles and any specific achievements that align with the responsibilities of the Head of Data Science position.

Craft a Compelling Cover Letter: In your cover letter, express your passion for using data to drive social change. Discuss how your background and skills make you a perfect fit for leading a client-focused team and mention any experience with public sector organisations.

Showcase Technical Skills: Clearly outline your technical expertise in data extraction, analytics, and dashboard development (especially Power BI/Tableau). Provide examples of how you've successfully managed complex technical projects and delivered results.

Highlight Communication Abilities: Since the role requires presenting technical concepts to clients, include examples of how you've effectively communicated complex information in previous roles. This will demonstrate your ability to engage stakeholders and lead your team.

How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B Corporation™

Showcase Your Leadership Skills

As a candidate for the Head of Data Science, it's crucial to demonstrate your leadership experience. Be prepared to discuss specific examples of how you've mentored teams, fostered professional growth, and managed complex projects. Highlight your ability to inspire and guide others in a technical environment.

Understand the Client-Centric Approach

This role requires a strong focus on client needs. Familiarise yourself with the company's mission and how they leverage data for social impact. Be ready to discuss how you would ensure a smooth implementation process while maintaining high-quality client interactions.

Prepare for Technical Discussions

Given the technical nature of this position, brush up on your knowledge of data extraction, analytics, and dashboard development, particularly with tools like Power BI or Tableau. Be prepared to explain complex concepts in a way that is accessible to non-technical stakeholders.

Demonstrate Strategic Thinking

The company is looking for someone who can develop scalable operating models and processes. During the interview, share your strategic mindset by discussing past experiences where you optimised deployment frameworks or improved operational efficiency. This will show your potential to contribute to the organisation's goals.

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