Senior Data Science Engineer

Hippo Digital Limited
Leeds
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Science Engineer

Senior Data Science Engineer, Sports Modelling

Senior Data Science Engineer, Tennis

Senior Data Scientist

Senior Data Scientist

Senior Simulation Engineer (Data Science)

About The Role

Hippo is recruiting for a Senior Data Science Engineer you join our growing consultancy. This role sits within our wider Data Team – you’ll be a part of a like‑minded, talented and passionate group of Science Engineers, Engineers, Analysts & Architects who are delivering awesome things for our clients. We are looking for someone who is inquisitive, excels in solving complex data‑centric problems, ready to explore and visualise data and bring their experience and knowledge on the importance on utilising data to aid in commercial decision making.


Our solutions empower our customers to build and support secure, scalable, and well‑engineered systems beyond traditional boundaries. We leverage deep data insights and continuous innovation to deliver awesome platforms that allow our customers to understand and get the most from their data and digital services. Our Senior Data Science Engineers play a key role in this.


We are looking for someone to bring their experience from a commercial environment to this role – you will be working as part of the wider Data Engineering Team and will be involved in elements of Engineering that sit outside of traditional Data Science.


Please note, we are looking for candidates who are looking for growth at this level (senior), therefore the advertised salary band is the lower end our full banding for this level of position, allowing for progression in the role.


Requirements of the Role

  • Experience in developing and expanding Data Science capabilities
  • Deliver business impact across all areas
  • Solid experience working with concepts relevant to data ethics and privacy
  • Understand product delivery from requirements to desirable business outcomes
  • Develop complex solutions using a range of data science techniques, whilst understanding any ethical considerations
  • Understand the role and benefits of data science within the organisation
  • Support capability building within the organisation
  • Collaborate with others to develop data science solutions and outputs supporting the organisation
  • Prepare and manipulate data, and perform complex analytics
  • Present and communicate effectively>

Skills and experience that you need

We need people who are open to new technologies, quick to adapt, and quick to learn. If you don’t have one of the following, please apply and we can discuss in more detail.



  • Strong experience in Machine Learning
  • Experience is at least one core coding language (Python, R, Java, etc.)
  • Experience in relevant Data Manipulation, Machine Learning and Statistical Analysis coding packages (eg. in python: NumPy, Scikit‑Learn, Pandas, Matplotlib etc.)
  • Strong skills in data exploration, cleansing, modelling and presentation
  • Strong experience in testing data models and Machine Learning Models
  • Strong experience in data presentation and visualisation

Desirable Technical Experience

  • At least one Cloud Provider (AWS, Azure or GCP)
  • Databases such as SQL / NoSQL
  • End‑to‑end data pipelines
  • Source Control and Version Control (e.g. Git)

What makes us great

As well as a competitive salary which we’re transparent about from the outset, you can also expect a range of benefits:



  • Contributory pension scheme (Hippo 6% with employee contributions of 2%)
  • 25 days holiday plus UK public holidays
  • Perkbox access for a wide range of discounts
  • Critical illness cover
  • Life assurance and death in service cover
  • Volunteer days
  • Cycle‑to‑work scheme for the avid cyclists
  • Salary sacrifice electric vehicles scheme
  • Season ticket loans
  • Financial and general wellbeing sessions
  • Flexible benefits scheme with options of:

    • private health cover
    • private dental cover
    • additional company pension contributions
    • additional holidays (up to an extra 2 days)
    • wellbeing contribution
    • charity contributions
    • tree planting



Diversity, Inclusion and Belonging at Hippo

At Hippo, we’re dedicated to creating a diverse, equitable and inclusive workplace that works for everyone. We understand that having a diverse team unlocks our capacity for innovation, creativity and problem solving. Only by building a community of diverse perspectives, cultures and socio‑economic backgrounds can we create an environment where all can contribute and thrive.


We actively encourage applications from underrepresented groups including women, ethnic minorities, LGBTQ+, neurodivergent and people with disabilities. We are committed to providing an inclusive and accessible recruitment process that reflects our workplace culture. We are a registered Disability Confident Employer, Mindful Employer, Endometriosis Friendly Employer and a member of the Armed Forces Covenant. Hippo continually strives to remove barriers, provide accommodations and offer reasonable adjustments to ensure equity throughout our practices.


Hi, we’re Hippo.


At Hippo, we design with empathy and build for impact. We do this by combining data‑informed evidence, human‑centred design and software engineering. We're a digital services partner who is genuinely invested in helping our clients thrive as modern organisations. Our delivery methodology is truly agile, from concept to reality, supporting innovation and continuous improvement to achieve your desired outcomes.


We firmly believe that technology should serve humanity, not the other way around. We take a human‑centred approach to everything we do because we understand that complex problems require a service design approach. This means understanding how users behave and ensuring our solutions work for them in the real world.


Our combination of data, design, and engineering delivers bespoke digital services that make a positive and meaningful impact on organisations and society. We're confident in our abilities, authentic in our approach, and passionate about what we do. If you're looking for a digital services partner that can deliver real results, let us help you build for the future and make a lasting impact.


Hippo locations

We are headquartered in Leeds and have offices across the UK in Glasgow, Manchester, Birmingham, London and Bristol. We're on the lookout for top talent nationwide but you need to be located within reasonable travelling distance from one of our offices which will be your contracted office location. Given the dynamic nature of a consulting business, you may be required to work on‑site at a Hippo office or at an in/out of town client location for a number of days per week (client dependent) and therefore candidates will need to be open/flexible to travel. Plus, we offer a generous relocation support package of up to £8k (please ask for terms and conditions) to help make your move a smooth one.


#J-18808-Ljbffr

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.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

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

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.