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 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
Customer Data Science Manager in Slough employer: Salt
As a leading global consulting firm, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises employee growth and innovation. Our London-based team is at the forefront of customer data science, offering unique opportunities to engage in cutting-edge analytics and GenAI solutions while mentoring the next generation of talent. With competitive compensation packages, including bonuses, and a commitment to professional development, we empower our employees to make a meaningful impact in the world of customer experience and data-driven decision-making.
StudySmarter Expert Advice🤫
We think this is how you could land Customer Data Science Manager in Slough
✨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 important it is to make those personal connections that could lead to job opportunities.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your analytical skills. We recommend doing mock interviews with friends or using online resources to get comfortable discussing your experience and how it relates to customer data science.
✨Tip Number 3
Showcase your projects! Whether it's through a portfolio or case studies, demonstrate your hands-on experience with predictive models and GenAI applications. We want to see how you’ve tackled real-world problems and delivered results.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Customer Data Science Manager in Slough
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 include any relevant projects or experiences that showcase these skills. If you've worked with GenAI or LLMs, don't forget to mention those too – we love seeing innovative applications of technology!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at Salt
✨Know Your Data Science Inside Out
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 manage timelines and quality.
✨Understand the Client's Needs
Research the consulting firm's clients and their industries. Be ready to discuss how your skills can translate into commercial insights for consumer-facing organisations. Showing that you understand their challenges will set you apart from other candidates.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in complex environments. Think of specific situations where you've had to balance hands-on work with leadership responsibilities. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.
