At a Glance
- Tasks: Lead the development of ML and optimisation products that transform real-world operations.
- Company: Major UK organisation driving large-scale data transformation.
- Benefits: Excellent base salary, bonus, hybrid work, and comprehensive benefits.
- Other info: Join a dynamic team with opportunities for growth and mentorship.
- Why this job: Make a tangible impact by delivering cutting-edge data solutions in a hands-on leadership role.
- Qualifications: Strong ML experience, advanced Python skills, and proven product delivery.
The predicted salary is between 70000 - 90000 £ per year.
A major UK organisation undergoing large scale data transformation are hiring multiple Product Data Scientists from Senior to Principal to build ML and optimisation driven decisioning products. This is a hands on leadership role owning delivery of production grade data products that directly impact real world operations.
You will own the end to end product lifecycle from discovery through to deployment and adoption. Working with stakeholders, you will identify decision points, design ML and optimisation solutions, and lead a cross functional squad to deliver scalable, production ready systems.
Key Responsibilities- Own delivery of ML and optimisation products end to end
- Translate business problems into decision support solutions
- Design scalable models and production architectures
- Lead squads across data science and engineering
- Drive stakeholder alignment and product adoption
- Ensure robust testing, monitoring, and continuous improvement
- Strong hands on ML and optimisation experience
- Advanced Python and modern data tooling
- Proven delivery of production level data products
- Experience leading or mentoring teams
- Clear communicator with strong commercial focus
- Masters Degree or equivalent in Data Science, ML, or related field
- Experience building or leading scalable ML products
- Background in complex operational environments is a bonus
Product Data Scientist (Senior-Principal) in London employer: Xpertise Recruitment
Join a leading UK organisation in West London that champions innovation and data transformation, offering an excellent base salary, bonus, and comprehensive benefits. With a strong focus on employee growth and a collaborative work culture, you will have the opportunity to lead impactful projects while working in a hybrid environment that promotes work-life balance and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Product Data Scientist (Senior-Principal) 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 Xpertise Recruitment!
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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 Product Data Scientist (Senior-Principal) at Xpertise Recruitment.
✨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 Xpertise Recruitment.
✨Apply Directly through Our Website
When you find a suitable opening like Product Data Scientist (Senior-Principal) at Xpertise Recruitment, 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 Product Data Scientist (Senior-Principal) 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 Xpertise Recruitment, 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 Xpertise Recruitment. 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 Xpertise Recruitment
✨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 Xpertise Recruitment!
✨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.
