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- Tasks: Transform business challenges into data-driven solutions using machine learning and analytics.
- Company: Join a leading Data & AI practice with a focus on impactful projects.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real impact by delivering predictive models for renowned brands.
- Qualifications: Experience in data science, machine learning, and strong analytical skills.
- Other info: Collaborative environment with passionate teams and excellent career advancement opportunities.
The predicted salary is between 28800 - 48000 ÂŁ per year.
We are seeking a Data Scientist to join our Data & AI practice. This is a role for a pragmatic problem-solver who can translate business challenges into data-driven solutions for world-renowned brands. You will apply statistical thinking and machine learning techniques to deliver predictive capabilities that drive measurable marketing and customer experience outcomes—and you’ll be comfortable taking your models beyond the notebook into production environments.
What will your day look like? This is a hands‑on role where you will deliver impactful analytics and machine learning solutions, primarily leveraging out‑of‑the‑box platform capabilities while applying solid statistical foundations to ensure rigorous, trustworthy results.
More specifically, your tasks will include:
- Developing and deploying predictive models (propensity, churn, lookalike) and recommendation systems for targeted campaigns and personalization.
- Conducting deep customer analytics (segmentation, LTV, behavioral analysis) to generate actionable insights.
- Implementing ML solutions using both platform‑native capabilities and custom development, ensuring models are production‑ready and AI‑consumable.
- Maintaining statistical rigor in all methodologies, from experiment design to model validation, supported by robust data exploration and preparation.
- Advising clients on data science opportunities, communicating complex findings clearly, contributing to repeatable solution frameworks, and fostering cross‑functional collaboration with engineering, strategy, and client services teams.
Who are you going to work with? You will join a team of Data Scientists and Analysts who are passionate about turning data into business impact. You’ll work closely with our Data Engineering team that builds the pipelines and infrastructure that power your models—and at times, you’ll contribute directly to that work. Beyond your immediate team, you will collaborate with stakeholders across our organization.
Data Scientist in London employer: Wunderman
Contact Detail:
Wunderman Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to current Data Scientists or professionals in the field on LinkedIn. Ask them about their experiences and any tips they might have for landing a role. You never know, they might even refer you to open positions!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data-driven projects. Whether it's predictive models or customer analytics, having tangible examples of your work can really set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and statistical knowledge. Be ready to discuss your past projects and how you've applied machine learning techniques to solve real-world problems. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight how your skills align with our needs, and let us know why you're excited about the role!
We think you need these skills to ace Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Scientist role. Highlight your experience with predictive models and machine learning techniques, and don’t forget to mention any hands-on projects that showcase your problem-solving skills.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data science and how you can translate business challenges into data-driven solutions. Be specific about your achievements and how they relate to our needs.
Showcase Your Technical Skills: We want to see your technical prowess! Include relevant programming languages, tools, and methodologies you’ve used in your projects. If you’ve deployed models or worked with customer analytics, make sure to highlight those experiences.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Wunderman
✨Know Your Data Science Fundamentals
Brush up on your statistical foundations and machine learning techniques. Be ready to discuss how you've applied these concepts in real-world scenarios, especially in developing predictive models and conducting customer analytics.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've translated business challenges into data-driven solutions. Think about specific projects where you delivered impactful analytics and how you approached those problems pragmatically.
✨Familiarise Yourself with Production Environments
Understand the importance of taking models beyond the notebook. Be prepared to discuss your experience with deploying models and ensuring they are production-ready, as well as any challenges you faced in that process.
✨Communicate Complex Findings Clearly
Practice explaining your analytical findings in a straightforward manner. You might be asked to present insights from your past work, so focus on how you can convey complex information to non-technical stakeholders effectively.
