Senior Data Science Engineer
Summary
Senior data science role leading user-centred data science delivery in cross-functional squads: designing complex data solutions, managing ML deployment pipelines (MLOps), and mentoring engineers. Core stack is Python, SQL and R, with MLflow, AWS SageMaker and Azure ML.
As a Senior Data Science Engineer at Hippo, you lead the production of user-centred data science solutions that align with business goals. You will work in cross-functional squads to design and deliver complex data solutions, while expanding capabilities and mentoring engineers. You’ll manage ML deployment pipelines and address bottlenecks, ensuring secure, scalable, and well-engineered systems. This role offers growth at the senior level within a collaborative, agile environment that values impact on clients and society.
Pay / Benefits- Contributory Pension Scheme
- 25 Days Holiday + public holidays
- Perkbox discounts
- Critical illness cover
- Life assurance and death in service cover
- Volunteer days
- Lead production of user-centred data science solutions aligned to business requirements
- Facilitate stakeholder collaboration to design and deliver solutions to complex problems
- Develop and expand Data Science capabilities and support capability building
- Manage ML deployment pipelines (MLOps) and resolve bottlenecks
- Mentor and coach other engineers to support their professional development
- Extensive experience in Python and proficiency in other languages (SQL, R, Java)
- Strong experience deploying and monitoring ML (MLOps) using MLflow, AWS Sagemaker, and Azure ML
- Proven track record delivering high-quality, scalable data science solutions
- Expertise in Data Manipulation, ML, and Statistical Analysis coding packages
- Strong experience testing data models and Machine Learning models
- Deep understanding of product delivery from requirements to desirable business outcomes
- Stakeholder collaboration
- Mentoring and coaching
- Communication and cross-functional teamwork
- Python
- SQL
- R