At a Glance
- Tasks: Enhance our Automated Valuation Model and innovate with advanced machine learning techniques.
- Company: Join Hometrack, a leader in property technology and financial services.
- Benefits: Flexible work options, generous leave, health support, and a vibrant workplace culture.
- Other info: Collaborative environment with opportunities for personal and professional growth.
- Why this job: Make a real impact on the mortgage journey for millions while growing your skills.
- Qualifications: Advanced degree in a quantitative field and strong Python coding skills.
The predicted salary is between 63000 - 77000 £ per year.
- 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, Num Py, 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
- 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
Senior Data Scientist in London employer: Hometrack
Hometrack is an exceptional employer, offering a dynamic work environment where innovation meets security excellence. As an Information Security Manager, you will play a pivotal role in safeguarding critical data for leading UK banks while enjoying a culture that prioritises professional growth and collaboration. With a commitment to continuous improvement and a focus on employee development, Hometrack provides unique opportunities to advance your career in the thriving FinTech sector.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Hometrack!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Scientist at Hometrack.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Hometrack.
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We think you need these skills to ace Senior Data Scientist in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Hometrack, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Hometrack. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Hometrack
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Hometrack!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
