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Data Scientist

hackajob

London

Hybrid

GBP 45,000 - 75,000

Full time

3 days ago

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Job summary

A leading tech firm is seeking a Data Scientist to enhance their Automated Valuation Model. You will work in a hybrid role based in London, utilizing cutting-edge machine learning techniques and collaborating with a team of professionals to innovate and improve data-driven products. This role offers substantial growth potential and competitive benefits.

Benefits

Everyday Flex - flexibility in work hours

25 days annual leave plus additional for service

Day off for volunteering and Digital detox day

Business closed during festive period

Gym on-site in London

Enhanced Parental leave

Fertility Treatment Financial Support

7.5% pension contribution by the company

Discretionary annual bonus

Talent referral bonus up to £5K

Qualifications

Strong Python coding ability to write stable and scalable code.
Experience with machine learning applications and development life cycle.
Familiarity with CI/CD and version control practices.

Responsibilities

Maintain and improve the Automated Valuation Model.
Research and implement datasets to enhance model accuracy.
Design pipelines to deploy data science models at scale.

Skills

Python

Machine Learning

Data Science

Statistical Analysis

Collaboration

Education

Advanced degree in Computer Science, Mathematics, or similar

Tools

AWS

Scikit-learn

Pandas

NumPy

PyTorch

Docker

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hackajob is collaborating with Hometrack UK to connect them with exceptional tech professionals for this role.

Description

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.

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

Seniority level

Seniority level
Entry level

Employment type

Employment type
Full-time

Job function

Job function
Engineering and Information Technology
Industries
Software Development

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