Offer summary

Qualifications:

Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or related quantitative field., At least 2 years of experience in data science or machine learning roles., Deep expertise in Python and relevant libraries such as pandas and scikit-learn., Proficiency in SQL and experience with cloud platforms like AWS, GCP, or Azure..

Key responsibilities:

Take ownership of the UK residential property AVM and drive continuous improvements.

Clean, process, and analyze large datasets of UK property transactions and market data.

Research and integrate new data sources to enhance model accuracy and conduct exploratory data analysis.

Stay current with industry trends and evaluate new modelling approaches and technologies.

Job description

As a Data Scientist, you will play a key role in improving the company’s property valuation models. Partnering with the Head of Engineering, you’ll help enhance the accuracy and scalability of their algorithms to support platform growth and deliver smarter insights to users.

Duties and Responsibilities:

Model Development & Optimization

Take ownership of our existing UK residential property AVM and drive continuous improvements
Conduct feature engineering using property characteristics, location data, market trends, and economic indicators
Perform model validation, back testing, and performance monitoring
Research and integrate new data sources to enhance model accuracy

Data Management & Analysis

Clean, process, and analyze large datasets of UK property transactions and market data
Develop automated data pipelines for model training and inference
Monitor data quality and implement data validation procedures
Conduct exploratory data analysis to identify new modelling opportunities

Research & Innovation

Stay current with industry trends in property valuation and real estate analytics
Research emerging machine learning techniques applicable to property valuation
Evaluate and implement new modelling approaches and technologies

Requirements

Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or related quantitative field
At least 2 years of data science or machine learning roles
Deep expertise in Python and relevant libraries (pandas, scikit-learn, numpy, matplotlib)
Experience with machine learning algorithms, particularly regression models and ensemble methods
Proficiency in SQL and database management
Experience with loud platforms (AWS, GCP, or Azure) and DevOps Tools and practices to deploy resources
Strong analytical and problem-solving abilities
Excellent communication skills for technical reporting and stakeholder updates
Self-motivated and able to work independently in a remote environment
Detail-oriented with strong quality assurance mindset
Comfortable working across time zones with UK-based team

Advantageous Skills/Experience:

Background in financial modelling, real estate data, property valuation, or related financial modelling
Knowledge of the Kalman Filter
Familiarity in geospatial data and mapping technologies

Required profile