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 career advancement.
- Other info: Fast track to management in a dynamic and supportive environment.
- Why this job: Shape the future of customer analytics and apply GenAI in real-world scenarios.
- Qualifications: Strong Python and machine learning skills; experience with customer data preferred.
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.
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: Salt Digital Recruitment
As a leading global consulting firm, we offer an exceptional work environment that fosters innovation and collaboration in the heart of London. Our hybrid work model promotes a healthy work-life balance while providing ample opportunities for professional growth and development within our newly established Customer Data Science capability. Join us to be at the forefront of applying advanced analytics and GenAI in real-world scenarios, all while enjoying competitive compensation and a supportive team culture.
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 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 potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to customer data science. Think about how you can demonstrate your problem-solving skills and technical expertise in real-world situations.
✨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 Senior Customer Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Customer Data Scientist role. 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 passionate about data science and how your experience aligns with our consulting approach. Be sure to mention any exposure to GenAI or LLM applications, as this is a key focus for us.
Showcase Your Communication Skills:Since this role involves client-facing work, it’s crucial to demonstrate your strong stakeholder communication skills. In your application, provide examples of how you've translated data insights into commercial recommendations in past roles.
Apply Through Our Website:We encourage you to apply 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 Digital Recruitment
✨Know Your Data Science Stuff
Make sure you're up to speed with Python and machine learning techniques. Brush up on your predictive modelling skills, especially classification and regression, as these will likely come up in the interview. Be ready to discuss specific projects where you've applied these skills.
✨Understand the Client's Needs
Research the consulting firm's clients and their industries. Think about how customer behaviour analysis and marketing performance analytics can impact their business. This will help you tailor your answers and show that you can translate data insights into commercial recommendations.
✨Showcase Your Communication Skills
Since this role involves client-facing work, practice explaining complex data concepts in simple terms. Prepare examples of how you've effectively communicated insights to stakeholders in the past. This will demonstrate your ability to engage with clients and make data relatable.
✨Get Familiar with GenAI Applications
As the role involves applied GenAI use cases, be prepared to discuss any experience you have with LLM-based applications. If you haven't worked directly with them, read up on current trends and think about how they could be applied in customer and marketing contexts.
