Senior Data Science Engineer

Hippo is a rapidly growing digital consultancy passionate about building and delivering transformative digital solutions for a diverse range of Public and Private sector clients. We are recruiting for a Senior Data Science Engineer to support our mission. We work at the intersection of strategy, design, and technology to solve complex problems and create lasting value. Our collaborative and agile culture empowers our teams to make a genuine impact.

As a Senior Data Science Engineer, you will play an important role in making Hippo the best Consultancy out there. You will work as part of a multi-disciplinary team combining data, design, product, delivery, analysis, and engineering to deliver 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.

You will act as a Senior Consultant to deliver Data Science Engineering services to our clients. Senior Data Science Engineers are experienced practitioners who lead by example, ensuring technical excellence within squads and mentoring junior members of the engineering community.

Our solutions empower our customers to build and support secure, scalable, and well-engineered systems beyond traditional boundaries that allow our customers to understand and get the most from their data and digital services. The Senior Data Science Engineer will be a key player and implementer in this.

Please note we are looking for candidates who are looking for growth at the Senior level; therefore, the advertised salary band represents the entry point for this level, allowing for clear progression within the role, which we are very keen to support.

• Lead the production of user-centred data science solutions, ensuring adherence to best practices and business requirements.
• Facilitate collaboration with stakeholders to design and deliver solutions to complex problems.
• Develop and expand Data Science capabilities and support capability building within the organisation.
• Manage machine learning deployment pipelines (MLOps) and resolve potential bottlenecks.
• Mentor and coach other engineers to support their professional development.

• Extensive experience in Python and proficiency in other languages (e.g., SQL, R, Java).
• Strong experience deploying and monitoring machine learning (MLOps) using tools such as MLflow, AWS Sagemaker, and Azure Machine Learning.
• Proven track record of delivering high-quality, scalable data science solutions.
• Expertise in Data Manipulation, ML, and Statistical Analysis coding packages.
• Strong experience in testing data models and Machine Learning Models.
• Proven ability to design, build, and optimise recommender systems.
• Strong experience in experimental design, including A/B testing and randomised control trials.
• Deep understanding of product delivery from requirements to desirable business outcomes.
• Demonstrable experience applying Natural Language Processing (NLP) to areas such as information retrieval.

• Alongside working with some of the most talented people out there and on-top of a competitive salary, which we’re transparent about from the outset, you can also expect a range of benefits:
• Contributory Pension Scheme (Hippo 6% & Employee 2%)
• Perkbox access for a wide range of discounts
• Critical illness cover
• Life assurance and death in service cover
• 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
• Additional company pension contributions
• Additional holidays (up to an extra 2 days)
• 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…