At a Glance
- Tasks: Deliver hands-on data science and customer analytics for consumer-focused projects.
- Company: Global consulting firm with a focus on customer experience and data science.
- Benefits: Competitive salary, bonus, hybrid work, and opportunities for rapid career advancement.
- Other info: Join a newly scaling team with significant investment and growth potential.
- Why this job: Shape the future of customer analytics and apply GenAI in real-world scenarios.
- Qualifications: Strong Python skills, machine learning experience, and ability to communicate insights effectively.
The predicted salary is between 60000 - 70000 € per year.
A global consulting firm is building a new London-based Customer Data Science capability within its broader customer, digital, and marketing practice. The team focuses on combining customer experience, data science, and applied AI to help large consumer-facing organisations improve commercial performance, customer engagement, and marketing effectiveness. This is a newly scaling capability with strong investment and the opportunity to shape how advanced customer analytics and GenAI are applied in real-world client environments.
The Role
You will deliver hands-on data science and customer analytics work across a range of consumer-focused client projects. This is a delivery-heavy role combining technical data science with commercial problem solving and client-facing consulting, with a fast track to Management. Typical work includes:
- Customer behaviour analysis and segmentation
- Marketing and CRM performance analytics
- Loyalty and retention modelling
- Web, product, and digital analytics
- Predictive modelling and forecasting
- Applied GenAI / LLM use cases in customer and marketing contexts
- Personalisation and optimisation initiatives
Requirements
- Strong hands-on Python and machine learning experience
- Ability to build and deploy predictive models (classification, regression, clustering, forecasting)
- Experience working with customer, CRM, marketing, or digital behavioural data
- Exposure to GenAI / LLM-based applications (build, evaluate, or implement use cases)
- SQL proficiency
- Strong stakeholder communication skills
- Ability to translate data insights into commercial recommendations
- Experience in a consulting, agency, or in-house analytics environment
Consulting experience is beneficial but not essential. Strong candidates from consumer-facing or agency backgrounds are welcome.
Senior Customer Data Scientist employer: Xpand Group
Join a dynamic global consulting firm that is at the forefront of customer data science in London. With a strong focus on employee growth, you will have the opportunity to shape innovative solutions in a collaborative and supportive work culture, while enjoying competitive benefits and a hybrid working model. This role not only offers a fast track to management but also allows you to engage with cutting-edge technologies like GenAI, making it an exciting place for those looking to make a meaningful impact in the field.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Customer Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to customer analytics. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by practising common data science scenarios and case studies. Be ready to discuss how you've tackled real-world problems using Python and machine learning, as this is key for consulting roles.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Customer Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Customer Data Scientist. Highlight your hands-on Python and machine learning experience, and don’t forget to showcase any relevant projects that demonstrate your skills in customer behaviour analysis and predictive modelling.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about joining our team at StudySmarter. Mention how your experience aligns with our focus on customer analytics and GenAI, and how you can contribute to improving client outcomes.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex data challenges in the past. We love candidates who can translate data insights into actionable recommendations, so make sure to highlight those experiences!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Xpand Group
✨Know Your Data Science Stuff
Make sure you brush up on your Python and machine learning skills. Be ready to discuss specific projects where you've built and deployed predictive models. They’ll want to see how you can apply your technical knowledge to real-world problems, so have some examples up your sleeve.
✨Understand the Client's Needs
Research the company and its clients thoroughly. Understand their business model and how customer analytics can drive their success. This will help you tailor your answers to show how you can add value to their consulting practice.
✨Showcase Your Communication Skills
Since this role involves a lot of client interaction, be prepared to demonstrate your ability to translate complex data insights into actionable commercial recommendations. Practice explaining your past work in simple terms that anyone can understand.
✨Get Familiar with GenAI Applications
Since they’re looking for someone with exposure to GenAI and LLM use cases, make sure you can discuss any relevant experience you have. If you haven’t worked directly with these technologies, read up on current trends and think about how they could apply to customer and marketing contexts.
