Senior Data Scientist - Hometrack...

Hybrid - Minimum 2 days on site in London, Tower
Bridge HQ About Houseful Houseful is home to trusted brands Zoopla,
Alto, Hometrack, Calcasa, Mojo and Prime location. Together we’re
creating the connections that power better property decisions, by
unlocking the combined strength of software, data and insight.
About Hometrack 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 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. You will be responsible for maintaining
and improving the industry leading Hometrack AVM (Automated
Valuation Model to estimate the value of residential properties).
We are always looking to innovate and better identify and
understand what data makes a difference to property value and risk
and how to incorporate this into our models and products. You’ll be
at home if you enjoy: - Being responsible for the performance of
our live models. Automating continual retraining and accuracy
testing. Detecting model drift and deploying model improvements to
ensure the reliability of our valuations for lender clients. -
Researching new datasets and advanced machine learning techniques
that can be used to increase the accuracy of our property valuation
model and improve our AI capabilities across our model and product
range - Design and create the pipelines and infrastructure to
deploy data science models at scale - Create the tools, frameworks
and libraries that will enable the acceleration of our Data Science
product delivery and spread the best ML Ops standards across the
whole business - Work collaboratively with fellow data scientists,
ML Engineers, analysts, product managers and data engineers -
Mentoring more junior members of the team on how to solve Data
Science problems. - Meeting with stakeholders to translate business
needs into data science problems You’ll hit the ground running if
you have: - An advanced degree in Computer Science, Mathematics,
Physics or other quantitative discipline - Strong Python experience
and knowledge, with the ability to write stable, scalable and
maintainable code - You worked in an R&D environment and/or you
are intimately familiar with the fundamentals of the scientific
research method: critical thinking, formulating hypotheses, running
experiments, drawing conclusions etc. - Experienced at identifying
problems that can be solved with machine learning and delivering
them from prototype through to production - Strong understanding of
machine learning applications, development life cycle processes and
tools: CI/CD, version control (git), testing frameworks, MLOps -
Comfortable working with Docker and containerised applications -
Experience with data science Python libraries such as Scikit-learn,
Pandas, NumPy, Pytorch etc. - Experience using AWS or similar cloud
computing platform - Great communicator - convey complex ideas and
solutions in clear, precise and accessible ways - Team player who
cares about accelerating not only Hometrack’s technical
capabilities, but also empowering colleagues There’s always room to
grow and learn with our roles so please don’t be put off if you
don’t have all of these skills and experiences. It’s more important
that you’re passionate about our mission to improve the home moving
and owning experience for everyone. - 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
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