Head of Data Science
London, England, United Kingdom
Houseful
Hybrid - Minimum 2 days on site in London, Tower Bridge HQ
At Hometrack, we’re redefining the mortgage journey for lenders, brokers and borrowers. We deliver market-leading valuation and risk evaluation services across the property technology and financial technology industries.
Our customers include 9 of the top 10 mortgage providers, as well as many others in financial services. Founded in 1999, we made our name with our Automated Valuation Model (AVM) and now provide more than 50 million automated valuations every year.
We’re part of Houseful, the parent brand of some of the UK’s most trusted digital platforms including Zoopla, Alto, Hometrack, Calcasa, Mojo and Prime location. Together were creating the connections that power better property decisions, by unlocking the combined strength of software, data and insight.
We are currently searching for someone to lead our Data Science team as the Head of Data Science.
Core objectives for the role:
- Manage and develop a small team of high performing data scientists, maintaining and improving market leading data science models
- Identify and drive opportunities to expand the contribution of data science to other areas of the Hometrack strategy
- Collaborate with our sister business in the Netherlands, Calcasa
- Develop the strategy for the longer term evolution of Hometrack’s data assets
- Engage with customers, demonstrating the value of Hometrack’s models and ensuring applicability of work to customer problems
- Lead cross functionally across data engineering, analytics and product. Help to hold colleagues to account to make sure that the impact of our models is maximised by rapid, high quality deployment and top quality product thinking
Requirements
What will you bring:
- Willingness to get stuck-in - the work is a mix of people leadership and individual contribution
- Broad technical capabilities - expertise in both statistical modelling and AI/ML techniques.
- Experience with Python and Microsoft Azure beneficial
- Pragmatism - we care about customer impact, not building the most complex models
- Clear communication
- Interest in learning a new domain
What experience will you be likely to have
- Education to Masters or PhD level in quantitative subject
- Experience in a professional environment delivering and maintaining data science models
- Experience managing data science teams
- B2B experience a positive
We want to make Houseful more welcoming, fair and representative every day. We’ll consider everyone who applies for this role in the same way, regardless of your ethnicity, colour, national origin, religion, sexual orientation, gender, gender identity, age, physical disability, neurodiversity status, family or parental status, or how long you’ve spent unemployed.
Benefits
- Everyday Flex - greater flexibility over where and when you work
- 25 days annual leave + extra days for years of service
- Day off for volunteering & Digital detox day
- Festive Closure - business closed for period between Christmas and New Year
- Cycle to work and electric car schemes
- Free Calm App membership
- Enhanced Parental leave
- Fertility Treatment Financial Support
- Group Income Protection and private medical insurance
- Gym on-site in London
- 7.5% pension contribution by the company
- Discretionary annual bonus up to 10% of base salary
- Talent referral bonus up to £5K
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Azure Engineering Machine Learning PhD Python Statistics
Perks/benefits: Career development Fertility benefits Fitness / gym Health care Insurance Medical leave Parental leave Salary bonus
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