Senior Data Scientist - AVM & ML Production (London)

Hometrack; Greater London; Hybrid; GBP 85,000 - 120,000; Full time

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

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.