Senior Data Science Engineer

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.

• 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>

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: Num Py, 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

• At least one Cloud Provider (AWS, Azure or GCP)
• Databases such as SQL / No
  
  SQL
• End‑to‑end data pipelines
• Source Control and Version Control (e.g. Git)

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

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…