Senior Data Scientist

The Data team is a cross-functional team of experienced and passionate data enthusiasts. We use and own modern data tools (Fivetran, Snowflake, dbt, Looker) and cover a diverse range of data problems and stakeholders.

• Flexible hours and summer hours
• Competitive holiday benefits (25 days a year paid holiday, plus 8 bank holidays)
• Work from anywhere for 2 weeks a year
• Life Assurance to protect your loved ones
• Benefits allowance for health, dental, and vision coverage
• Defined Contribution Pension and Salary Sacrifice Scheme
• Be Well: Our award-winning wellbeing and mental health programme to support all MVFers and their families
• Family Forward support for our MVF parents and their mini-mes
• Free breakfast when in the office

MVF is seeking an exceptionally skilled and driven Senior Data Scientist to deliver significant commercial value. You will leverage your extensive Data Science knowledge and experience in diverse commercial environments to build new products and define the 'art of the possible,' shaping the ML roadmap in line with our Data Strategy.
You will be pivotal in building our Data Science and Machine Learning capabilities, with the potential to hire a team in the future. You will be responsible for all Data Science areas. These are currently problems that we are working on:

• Imbalanced classification - predicting the value of leads
• Optimisation (e.g., Linear programming) - optimising which leads / products we sell to which client
• Forecasting - predicting client demand
• Experimentation
• Foundational models (LLMs) - Using LLMs to extract information from multimodal data sets

You will be communicative, commercially-minded, with a strong team-spirit. You will enjoy collaborating with stakeholders, as you will be delivering value across the business, from Paid Marketing to Operations and Sales.
Reporting to the Head of Data, you will collaborate and have support from Analytics Engineering teams to build and maintain pipelines and from Software Engineering teams to productionize models. You will have Product Management support from a Data PM and Head of Data; however the ideal candidate will relish the opportunity to understand their stakeholders more deeply and define where they think they (and Data Science) can add the most value.

• Develop Data Science/Machine Learning products addressing key business needs in accordance with ML best practices
• Co-author the Data Science roadmap in alignment with the Data Strategy
• Define the architecture of MLOps, selecting out-of-the-box tools that fit our current data ecosystem (AWS, Snowflake)
• Mentor Data Team members on Data Science best practices
• Hire and grow new Data Scientists and manage them effectively when available

• Building effective and efficient Data Science models that deliver measurable business value
• Managing timely product delivery, balancing ROI with appropriate methods
• Ensuring Machine Learning is executed using best-in-class tools, techniques, and approaches within budget and time constraints
• Maintaining a valuable, healthy, and exciting roadmap of Data Science opportunities
• Ensuring exceptional data integrity and quality across all projects

• 5+ years of experience in a dedicated Data Science/Machine Learning role; additional data or commercial experience is a plus
• Proficient in Python (Pandas, Scikit-Learn, PyTorch, PySpark) and SQL
• Strong understanding of machine learning algorithms and best practices
• Vision for MLOps best practices, particularly regarding version control, Docker, MLFlow, CI/CD
• Some knowledge of data warehousing best practices; experience with the Snowflake ecosystem and dbt is a bonus
• Strong communication skills, with the ability to engage effectively with diverse stakeholders
• Good commercial understanding; knowledge of marketing operations is a bonus