Data Science Manager

Harnham
London
2 days ago
Applications closed

Related Jobs

View all jobs

Data Science Manager

Data Science Manager

Data Science Manager

Data Science Manager

Data Science Manager

Data Science Manager

Data Science Manager

London – Hybrid

Up to £80,000


About the Role

We’re working with a fintech that’s transforming how people think about saving and investing. Their mission is to simplify financial well-being through technology - building products that help millions of people make smarter, more confident financial decisions.


As a Data Science Manager, you’ll lead Data Science projects within the data team, with the idea to work towards people management. You'll play a key part in shaping how customer data informs decision-making at scale.


Key Responsibilities

  • Lead and develop a team of data scientists, providing technical guidance and strategic direction.
  • Partner with senior stakeholders to identify opportunities for data-driven improvement in customer engagement, retention, and product experience.
  • Oversee the design, development, and delivery of advanced analytical models and insights that support business growth.
  • Translate complex data into clear, actionable recommendations that drive commercial impact.
  • Collaborate closely with BI and Data Engineering teams to ensure reliable data foundations and scalable analytical solutions.
  • Champion the use of data science across the organisation, embedding a culture of evidence-based decision-making.


What We’re Looking For

  • Strong grounding in statistics, mathematics, and applied data science.
  • Proven experience leading analytics or data science projects from conception to delivery.
  • Experience with customer focused Data Science techniques - especially around personalisation and recommenders.
  • Proficiency in Python (Pandas, NumPy, Scikit-learn, Statsmodels, Matplotlib) for analysis, modelling, and visualisation.
  • Experience with customer, product, or financial analytics - understanding drivers of engagement, retention, and value.
  • Track record of working in agile, cross-functional environments and delivering measurable impact.
  • Excellent communication and stakeholder management skills, with the ability to influence non-technical audiences.


Please note: This role cannot offer sponsorship

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Education

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.

Careers Jobs

Data Science Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data science in your 30s, 40s or 50s? You’re far from alone. Across the UK, businesses are investing in data science talent to turn data into insight, support better decisions and unlock competitive advantage. But with all the hype about machine learning, Python, AI and data unicorns, it can be hard to separate real opportunities from noise. This article gives you a practical, UK-focused reality check on data science careers for mid-life career switchers — what roles really exist, what skills employers really hire for, how long retraining typically takes, what UK recruiters actually look for and how to craft a compelling career pivot story. Whether you come from finance, marketing, operations, research, project management or another field entirely, there are meaningful pathways into data science — and age itself is not the barrier many people fear.

Jobs

How to Write a Data Science Job Ad That Attracts the Right People

Data science plays a critical role in how organisations across the UK make decisions, build products and gain competitive advantage. From forecasting and personalisation to risk modelling and experimentation, data scientists help translate data into insight and action. Yet many employers struggle to attract the right data science candidates. Job adverts often generate high volumes of applications, but few applicants have the mix of analytical skill, business understanding and communication ability the role actually requires. At the same time, experienced data scientists skip over adverts that feel vague, inflated or misaligned with real data science work. In most cases, the issue is not a lack of talent — it is the quality and clarity of the job advert. Data scientists are analytical, sceptical of hype and highly selective. A poorly written job ad signals unclear expectations and immature data practices. A well-written one signals credibility, focus and serious intent. This guide explains how to write a data science job ad that attracts the right people, improves applicant quality and positions your organisation as a strong data employer.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.