At a Glance
- Tasks: Lead innovative data science projects and mentor a talented team to solve complex challenges.
- Company: Join Cotality, a forward-thinking company transforming the property industry with cutting-edge technology.
- Benefits: Enjoy flexible working, generous leave, private healthcare, and a supportive work culture.
- Other info: Be part of a diverse team committed to innovation and professional growth.
- Why this job: Make a real impact in the property sector while developing your skills in a dynamic environment.
- Qualifications: 8+ years of data science experience and expertise in predictive modelling and machine learning.
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.
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.
Job Qualifications: 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.
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.
Lead Data Scientist employer: CoreLogic U.K. Limited
CoreLogic U.K. Limited offers a dynamic work environment where data scientists can tackle challenging predictive modelling problems. Employees have the opportunity to shape technical strategies and collaborate with senior stakeholders, promoting best practices in model development. The company values professional growth and provides a platform for impactful analytical solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist
✨Get Involved in Data Science Meetups
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When you find a suitable opening like Lead Data Scientist at CoreLogic U.K. Limited, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Lead Data Scientist
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 CoreLogic U.K. Limited, 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 CoreLogic U.K. Limited. 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 CoreLogic U.K. Limited
✨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 CoreLogic U.K. Limited!
✨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.