Head of Data Insights

Recursion Agentic AI
Sheffield
4 months ago
Applications closed

Related Jobs

View all jobs

Head of Data Science & Analytics

Head of Data Science

Head of Digital & ICT

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Who We Are

Recursion is an institutionally-backed startup currently in beta mode that is redefining business intelligence and automation with agentic AI. Our mission is to deliver non-obvious insights tailored specifically to each business and to automate complex processes beyond the capabilities of traditional RPA tools. By consolidating all data into a single source of truth and making it accessible in real-time via natural language conversations, we empower enterprises to make quick, confident decisions without delays in data processing or preparation. 


Objective:

We are looking for an experienced and strategic Head of Data Insights to lead our data analytics initiatives. This innovative leader will drive the vision for our data insights strategy, leveraging a deep understanding of data to support client engagement and business growth. The ideal candidate will have over 7 years of experience in data analysis and management and be skilled at transforming data into actionable insights.


Key Responsibilities:

  • Build and lead a new global insights function connecting customer insights, market research and data analytics.
  • Oversee data analysis from diverse sources, identifying connections and trends to inform business strategies.
  • Spearhead exploratory data analysis initiatives to uncover patterns, anomalies, and insights supporting strategic decision-making.
  • Lead market research initiatives to identify emerging trends, customer behaviors, and competitive positioning, and translate findings into comprehensive reports and presentations.
  • Develop and publish periodic trend reports, highlighting actionable insights for stakeholders across the organization and driving thought leadership in the industry.
  • Ensure exceptional clarity in master data descriptions, making them comprehensible for stakeholders.
  • Design and implement predictive models, including churn prediction and revenue forecasting, to guide strategic business decisions.
  • Collaborate with cross-functional teams to integrate data insights into broader business strategies and operational processes.
  • Mentor and develop junior analysts, fostering a culture of learning and innovation within the team.


Skills and Experience:

  • Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field; a master’s degree is preferred.
  • Minimum of 7 years of experience in data analysis with an extensive background in data management practices.
  • Proficient in data analytics tools and programming languages (Python, SQL, R, etc.) and experience with relevant machine learning libraries.
  • Strong problem-solving capabilities, with an ability to manage complex data sets.
  • Exceptional communication skills, capable of presenting insights and data narratives effectively to diverse stakeholders.
  • Experience with business intelligence tools and data visualization platforms.
  • Demonstrated experience in predictive modeling and analytics.
  • Ownership: Track record of driving and delivering complete, high quality solutions to problems independently.
  • Experience mentoring junior team members.


How to Apply

Please submit your resume and a brief cover letter explaining your interest in the role and how your experience aligns with the responsibilities and qualifications.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Best UK Universities for AI Degrees (2025 Guide)

Discover the ten best UK universities for Artificial Intelligence degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right AI programme for you. Artificial Intelligence continues to transform industries—from healthcare to finance to transportation. The UK leads the way in AI research and education, with several universities consistently ranked among the world’s best for Computer Science. Below, we spotlight ten UK institutions offering strong AI-focused programmes at undergraduate or postgraduate level. While league tables shift year to year, these universities have a track record of excellence in teaching, research, and industry collaboration.

How to Write a Winning Cover Letter for AI Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for AI jobs with this proven 4-paragraph structure. Perfect for junior developers and career switchers. When applying for an AI job, your cover letter can make all the difference. For many, the process of writing a cover letter for an AI position can be daunting, especially when there are so few specific guides for tailoring it to the industry. However, a clear, effective structure combined with AI-specific language and examples can help you stand out from the competition. Whether you're a junior entering the field or a mid-career professional switching to AI, the following framework will make it easier for you to craft a compelling cover letter. In this article, we’ll take you through a proven four-paragraph structure that works and provide sample lines that you can adapt to your personal experience.

Veterans in Tech: A Military‑to‑Civilian Pathway into AI Jobs

Published on ArtificialIntelligenceJobs.co.uk – empowering the UK talent pipeline for artificial intelligence, data, and robotics. Introduction Leaving the Armed Forces is both a proud milestone and a daunting leap into the unknown. Whether you served with the Royal Navy, British Army, Royal Air Force or Royal Marines, one thing is certain: the skills you forged under pressure are in high demand—especially in the booming field of artificial intelligence (AI).  The UK’s AI market is expected to contribute £400 billion to the economy by 2030, with defence and security applications at its core. Employers from start‑ups to FTSE‑100 giants are crying out for disciplined professionals who understand mission‑critical environments. Ex‑service personnel fit the bill perfectly. This guide maps the military‑to‑civilian journey, signposts Ministry of Defence (MoD) transition programmes, and shows you exactly how to land your first AI role. Quick Win: Bookmark our live listings for Machine Learning Engineer roles to see which employers are hiring right now.