Senior Data Scientist

Hometrack

Greater London

On-site

GBP 85,000 - 120,000

Full time

11 days ago

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Benefits offered by this job

EverydayFlex

25 days annual leave + service

Volunteer day

Digital detox day

Cycle to work

Private medical insurance

Pension scheme

Discretionary bonus

Referrals bonus

Gym on-site

On-site in London

Family support

Job summary

Hometrack is seeking a data scientist to maintain and enhance its Automated Valuation Model (AVM) and related ML systems in a hybrid London-based role. You will monitor model performance, explore new data sources, and collaborate with data scientists, ML engineers, analysts, product managers and engineers to drive better valuations.

You should bring an advanced quantitative degree and a strong Python background, with experience from an R&D or ML development environment.

Qualifications

Advanced degree in a quantitative field (e.g., CS, math, physics).
Strong Python experience with stable, scalable code.
Experience delivering ML solutions from prototype to production.
Ability to translate business needs into data science problems.
Excellent communication and collaboration skills.
Familiarity with ML lifecycle, CI/CD and MLOps practices.

Responsibilities

Maintain and improve the Hometrack AVM models.
Detect model drift and deploy improvements to ensure reliability of valuations.
Research new datasets and ML techniques to improve accuracy and AI capabilities.
Collaborate with data scientists, ML engineers, analysts, product managers and data engineers.
Translate business needs into data science problems and deliver impactful solutions.

Skills

Python programming

Communication

ML research

Team collaboration

Problem solving

CI/CD

Git

MLOps

Data analysis

Education

Advanced degree in Computer Science / Mathematics / Physics

Tools

Docker

AWS

Git

PyTorch

Scikit-learn

Pandas

NumPy

Job description

Hybrid - Minimum 3 days on site in London, Tower Bridge HQ

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. 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.
Work collaboratively with fellow data scientists, ML Engineers, analysts, product managers and data engineers.
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.
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
Strong understanding of machine learning applications, development life cycle processes and tools: CI/CD, version control (git), testing frameworks, MLOps.
Experience with data science Python libraries such as Scikit-learn, Pandas, NumPy, Pytorch etc.
Comfortable working with Docker and containerised applications
Experience using AWS or similar cloud computing platform
Experience delivering machine learning solutions within regulated environments, including familiarity with Model Risk Management (MRM), governance, or model explainability.

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.

Benefits