At a Glance
- Tasks: Lead innovative data science projects and mentor a talented team to solve complex challenges.
- Company: Cotality, a forward-thinking property intelligence company with a diverse culture.
- Benefits: Flexible working, generous leave, private healthcare, and wellness resources.
- Other info: Join a dynamic team committed to diversity and professional growth.
- Why this job: Make a real impact in the property industry while driving innovation and collaboration.
- Qualifications: 8+ years in data science, expertise in predictive modelling, and strong leadership skills.
The predicted salary is between 63000 - 77000 £ per year.
At Cotality, we are driven by a single mission—to make the property industry faster, smarter, and more people-centric. Cotality is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society.
Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At Cotality, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property industry.
As a Lead Data Scientist at Cotality, you will be the technical authority responsible for solving our most complex predictive modelling challenges. You will guide the technical strategy for our core data products, which are used by major financial institutions across the UK, and will have the opportunity to make your mark on a new, ambitious data platform.
This role is about driving innovation and mentoring a talented team of data scientists to build best-in-class models. You will:
- Lead the design and implementation of advanced predictive models, applying sophisticated statistical and machine learning techniques to solve high-stakes business problems.
- Provide technical leadership and mentorship to fellow data scientists, elevating the team's capabilities and fostering a culture of excellence.
- Own the end-to-end model lifecycle, from initial R&D and prototyping through to deploying robust, scalable models into production pipelines.
- Partner with senior stakeholders across Product, Sales, and Leadership to translate complex business needs into elegant, effective analytical solutions.
- Champion best practices in model development, validation, and maintenance to ensure the quality and integrity of our analytical outputs.
We are seeking an exceptional technical leader. We strongly encourage applications from candidates with a background in any industry that involves large-scale, complex predictive modelling.
Essential Experience:
- Extensive Data Science Experience: A proven track record (typically 8+ years) of developing and deploying high-impact machine learning models in a commercial environment.
- Deep Modelling Expertise: Expert-level knowledge of statistical analysis, predictive modelling, and a variety of ensemble techniques (e.g., Gradient Boosted Trees, Random Forests).
- Core Technical Proficiency: High proficiency in Python for data science (including libraries like Pandas, Scikit-Learn, XGBoost/LightGBM) and SQL.
- Large-Scale Data Expertise: Demonstrable experience working with very large, complex, and sometimes messy datasets to build effective models. Experience with geospatial data is a significant advantage but not required.
- Technical Leadership & Mentorship: Proven ability to act as a senior technical guide, mentor other data scientists, and lead the technical direction of complex projects.
- Strong Communication Skills: The ability to explain complex technical concepts to non-technical stakeholders and influence strategic decisions.
Desirable Experience:
- Domain Knowledge: Experience in PropTech (Property Technology), FinTech (Financial Technology), or the financial services/lending industry.
- AVM Experience: Specific, hands-on experience developing or deploying Automated Valuation Models for the property market.
- Regulatory Environment: Familiarity with model validation, performance benchmarking, and compliance metrics within a regulated industry.
At Cotality, we offer more than just a job — we deliver a benefits experience crafted to support your whole self. From flexible working arrangements to generous leave and standout private healthcare, our perks are designed to help you flourish both at work and beyond. Here’s a snapshot of what’s on offer:
- Time Away: Generous paid leave, 8 bank holidays, plus dedicated days for wellbeing and volunteering.
- Family Support: Up to 16 weeks of fully paid parental leave, along with a baby bonus to help you get started.
- Health & Wellbeing: Company-paid private medical cover, with mental health and wellness resources included.
- Retirement: Pension scheme with employer contributions.
- Financial Perks: 375 annual wellbeing allowance.
- Extras: Recognition rewards, referral bonuses, exclusive discounts, and more!
Cotality is fully committed to employing a diverse workforce and creating an inclusive work environment that embraces everyone’s unique contributions, experiences and values. We offer an empowered work environment that encourages creativity, initiative and professional growth and provides a competitive salary and benefits package. We are better together when we support and recognize our differences.
Cotality is an Equal Opportunity employer committed to attracting and retaining the best-qualified people available, without regard to race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, record of offences, age, marital status, family status or disability. Cotality maintains a Drug-Free Workplace.
Please apply on our website for consideration.
Lead Data Scientist in London employer: CoreLogic
Cotality is an exceptional employer that prioritises a diverse and inclusive work culture, fostering innovation and collaboration among its 5,000 global employees. With a remote-first working model, generous benefits including private healthcare, extensive parental leave, and a strong commitment to employee growth, Cotality empowers its team members to thrive both personally and professionally while making a significant impact in the property industry.
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We think this is how you could land Lead Data Scientist in London
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We think you need these skills to ace Lead 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!
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How to prepare for a job interview at CoreLogic
✨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!
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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 CoreLogic!
✨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.