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 model, and career development opportunities.
- Other info: Join a growing team with exciting projects and mentorship 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 leadership 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
- 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
Customer Data Science Manager employer: Salt Digital Recruitment
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 compensation, a hybrid working model, and a commitment to employee development, we provide a rewarding environment for those looking to make a significant impact in the field of data science.
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 your 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 showcasing your analytical skills. We recommend using real-world examples from your experience to demonstrate how you’ve tackled challenges in customer data science. This will help you stand out as a candidate who can deliver results.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. We suggest checking out our website for openings that match your expertise in customer data science. Tailor your approach to show why you’re the perfect fit for their team.
✨Tip Number 4
Follow up after interviews! A simple thank-you email can go a long way in keeping you top of mind. We believe this shows your enthusiasm for the role and reinforces your interest in contributing to their success.
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 match the Customer Data Science Manager role. Highlight your experience in customer analytics, data science, and any relevant projects you've led. We want to see how you can bring value to our team!
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 your background aligns with our mission at StudySmarter. Be sure to mention specific examples of your work that demonstrate your leadership and technical skills.
Showcase Your Technical Skills:Since this role requires strong Python and SQL capabilities, make sure to highlight these skills prominently in your application. If you've worked on predictive models or applied GenAI in real-world scenarios, let us know! We love seeing practical applications of your expertise.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your materials in one go. Plus, it helps us keep track of your application better!
How to prepare for a job interview at Salt Digital Recruitment
✨Know Your Data Science Stuff
Make sure you brush up on your technical skills, especially in Python and SQL. Be ready to discuss specific projects where you've delivered machine learning models or applied GenAI solutions. 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 how you managed timelines and ensured quality delivery while keeping client outcomes in focus.
✨Understand the Client's Needs
Research the company and its clients before the interview. Understand their industry challenges and think about how your experience can help them improve their commercial performance through advanced analytics. Tailor your responses to show that you can translate data into strategic insights for their specific context.
✨Prepare for Scenario Questions
Expect to face scenario-based questions that assess your problem-solving abilities in complex environments. Practice articulating how you would approach a challenging client engagement or a difficult analytical problem, demonstrating your thought process and decision-making skills.
