At a Glance
- Tasks: Lead customer data science projects, combining analytics with leadership to drive client success.
- Company: Global consulting firm expanding its innovative Customer Data Science team in London.
- Benefits: Competitive salary, bonus opportunities, hybrid work model, and professional growth.
- Other info: Join a dynamic team with strong investment in growth and development.
- Why this job: Shape the future of customer experience using advanced analytics and GenAI solutions.
- Qualifications: 6+ years in data science, strong Python/SQL skills, and client-facing experience.
The predicted salary is between 77000 - 88000 € per year.
A global consulting firm is expanding its London-based Customer Data Science capability within its wider customer, digital, and marketing practice. This capability sits at the intersection of customer experience, data science, and applied AI, supporting large consumer-facing organisations to improve commercial performance through advanced analytics and GenAI-driven solutions. The team is in a growth phase, with strong investment and increasing demand for senior talent who can lead delivery and shape client engagements.
You will take ownership of customer data science workstreams on complex client engagements, combining technical expertise with leadership and commercial responsibility. This is a hands-on consulting leadership role where you will still engage in analytical work while primarily driving delivery, client outcomes, and team performance.
Typical responsibilities will include:
- Leading end-to-end customer analytics and data science workstreams
- Owning delivery quality, timelines, and client outcomes
- Designing and implementing customer, marketing, and commercial analytics solutions
- Leading development of predictive models and advanced analytics approaches
- Applying GenAI / LLMs to customer and marketing use cases
- Managing and mentoring junior team members
- Supporting proposal development and shaping new opportunities
- Acting as a key client interface on engagements
Requirements:
- Strong experience in customer DS, marketing DS
- Advanced Python and SQL capability
- Consultant Industry Experience preferable, but open to Consumer Services, or Agency
- Proven experience delivering machine learning models (predictive, classification, segmentation, forecasting)
- Experience applying GenAI / LLMs in real-world use cases
- Strong client-facing consulting or stakeholder management experience
- Ability to lead workstreams and drive delivery in complex environments
- Experience translating data into commercial and strategic insight
Ideal Profile:
- 6+ years' experience in data science, analytics, or consulting roles
- Proven experience leading delivery within client or commercial environments
- Comfortable balancing hands-on technical work with leadership responsibilities
- Exposure to consumer-facing industries such as retail, FMCG, financial services, or digital platforms
- Interest in building capability within a growing analytics practice
Rates depend on experience and client requirements.
Customer Data Science Manager in London employer: Xpand Group
Join a leading global consulting firm that champions innovation and growth in the heart of London. As a Customer Data Science Manager, you will thrive in a dynamic work culture that values collaboration, creativity, and professional development, offering competitive salaries and bonuses. With a strong focus on employee growth and the opportunity to work with cutting-edge technologies like GenAI, this role provides a unique chance to make a significant impact while advancing your career in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Customer Data Science Manager in London
✨Tip Number 1
Network like a pro! Reach out to connections in the industry, attend relevant events, and engage with professionals on platforms like LinkedIn. We can’t stress enough how personal connections can open doors to opportunities that aren’t even advertised.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to customer data science. We recommend doing mock interviews with friends or mentors to build confidence and refine your responses. Remember, it’s all about showcasing your expertise and leadership skills!
✨Tip Number 3
Showcase your projects! Create a portfolio that highlights your experience with predictive models and advanced analytics. We love seeing real-world applications of your skills, so make sure to include case studies that demonstrate your impact on client outcomes.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for talented individuals who can lead and innovate in the customer data science space.
We think you need these skills to ace Customer Data Science Manager in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Customer Data Science Manager. Highlight your experience in customer analytics, data science, and any relevant leadership roles. We want to see how your skills align with what we’re looking for!
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 contribute to our team. Be sure to mention any specific projects or achievements that showcase your expertise.
Showcase Your Technical Skills:Since this role requires strong Python and SQL capabilities, don’t shy away from mentioning your technical skills. Include examples of how you've applied these in real-world scenarios, especially in customer-focused projects.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Xpand Group
✨Know Your Data Science Inside Out
Make sure you brush up on your customer data science knowledge, especially around predictive models and advanced analytics. Be ready to discuss specific projects where you've applied these skills, particularly in real-world scenarios involving GenAI or LLMs.
✨Showcase Your Leadership Skills
This role requires a balance of technical expertise and leadership. Prepare examples that highlight your experience in leading teams and managing client relationships. Think about how you've driven delivery and outcomes in previous roles.
✨Understand the Client's Needs
Research the consulting firm and their clients. Understand their challenges in customer experience and data analytics. This will help you tailor your responses to demonstrate how your skills can directly address their needs and improve commercial performance.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during the interview. Brush up on your Python and SQL skills, and be prepared to solve problems on the spot. Practising coding challenges or discussing your thought process on past projects can really set you apart.
