At a Glance
- Tasks: Lead customer data science projects and deliver impactful analytics solutions.
- Company: Global consulting firm with a focus on customer experience and data science.
- Benefits: Competitive salary, bonus, hybrid work, and opportunities for professional growth.
- Other info: Join a growing team with exciting career advancement opportunities.
- Why this job: Shape the future of customer analytics and drive real change in major organisations.
- Qualifications: 6+ years in data science, strong Python and SQL skills, and client management 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 employer: Xpand Group
As a leading global consulting firm, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and professional growth. Our London-based team is at the forefront of customer data science, offering employees the unique opportunity to engage in cutting-edge analytics while mentoring the next generation of talent. With competitive salaries, performance bonuses, and a commitment to work-life balance through hybrid working arrangements, we empower our staff to thrive both personally and professionally in a vibrant city known for its diverse opportunities.
StudySmarter Expert Advice🤫
We think this is how you could land Customer Data Science Manager
✨Tip Number 1
Network like a pro! Reach out to connections in the industry, attend relevant events, and engage 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 showcasing your analytical skills. We recommend using real-world examples from your experience to demonstrate how you’ve tackled challenges in customer data science. It’s all about showing what you can bring to the table!
✨Tip Number 3
Don’t just apply; follow up! After submitting your application through our website, drop a quick email to express your enthusiasm. It shows initiative and keeps you on their radar. We love seeing candidates who are proactive!
✨Tip Number 4
Tailor your approach for each role. Research the company and its culture, and align your skills with their needs. We believe that a personalised touch can make a huge difference in standing out from the crowd!
We think you need these skills to ace Customer Data Science Manager
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Customer Data Science Manager role. Highlight your experience in customer analytics, data science, and any relevant consulting work to catch our eye!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background makes you a perfect fit for our team. Don’t forget to mention your experience with GenAI and predictive models!
Showcase Your Technical Skills:We love seeing your technical prowess! Be sure to include specific examples of your work with Python, SQL, and machine learning models. This will help us understand your hands-on capabilities and how you can lead our projects.
Apply Through Our Website:We encourage you to apply directly 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!
How to prepare for a job interview at Xpand Group
✨Know Your Data Science Stuff
Make sure you brush up on your technical skills, especially in Python and SQL. Be ready to discuss your experience with machine learning models and how you've applied GenAI in real-world scenarios. This role is all about blending technical expertise with leadership, so be prepared to showcase both.
✨Showcase Your Leadership Skills
Since this position involves leading workstreams and mentoring junior team members, think of examples where you've successfully led a team or project. Highlight your ability to drive delivery and client outcomes, as well as how you've managed timelines and quality in previous roles.
✨Understand the Client's Needs
Research the consulting firm and their clients. Understand the industries they operate in, like retail or financial services, and think about how your skills can help improve their commercial performance. Being able to translate data into strategic insights will impress them.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems or case studies related to customer analytics. Practice articulating your thought process clearly and logically. This will demonstrate your analytical thinking and problem-solving abilities, which are crucial for this role.
