At a Glance
- Tasks: Develop and deliver innovative data science solutions using Python and machine learning.
- Company: Join a global consultancy that merges data science, creativity, and strategy.
- Benefits: Competitive salary, bonus, hybrid work, and professional development opportunities.
- Other info: Collaborative environment with clear career progression and diverse project exposure.
- Why this job: Make a real impact with cutting-edge AI projects for major clients.
- Qualifications: 4+ years in data science, strong Python skills, and experience with Generative AI.
The predicted salary is between 60000 - 70000 £ per year.
We're hiring a Senior Consultant - Data Science (Customer Data) to join a global consultancy that fuses data science, creativity, and strategy to help leading brands enhance customer engagement through intelligent data solutions. You will play a key role in delivering advanced analytics and AI‑driven insights within customer and marketing contexts. This is an exciting opportunity to combine technical excellence with consulting impact across major clients and industries.
What You'll Do
- Develop and deliver data science solutions using Python and machine learning (predictive, classification, forecasting, deep learning).
- Lead or support Generative AI / LLM projects, building or evaluating models tailored to customer or marketing applications.
- Work hands‑on with diverse data types - transactional, web, social, and loyalty data - to drive actionable insights.
- Translate analytics into business recommendations, collaborating with consultants, strategists, and data engineers.
- Engage with clients to scope, design, and deliver impactful data projects.
What You'll Bring
- 4+ years of data science or analytics experience (typically around 5 years).
- Proven track record with Generative AI and LLM‑based solutions.
- Strong proficiency in Python and machine learning techniques.
- Solid knowledge of customer or marketing analytics.
- Background in consulting, in‑house analytics, or agency environments.
- Excellent communication and problem‑solving skills.
Why You'll Love It
- A collaborative, high‑impact environment bridging analytics, strategy, and design.
- Exposure to cutting‑edge AI work and major clients across multiple sectors.
- Clear career progression and professional development support.
If you're passionate about applying data science and AI to real‑world customer challenges, we'd love to hear from you.
Senior Consultant, Data Science (Customer Data) employer: Salt Digital Recruitment
Join a dynamic global consultancy that champions innovation and collaboration, offering a hybrid work environment that fosters creativity and strategic thinking. As a Senior Consultant in Data Science, you'll benefit from exposure to cutting-edge AI projects and major clients, while enjoying clear career progression and professional development opportunities. This is an exceptional place for those eager to make a meaningful impact through data-driven insights in a supportive and engaging culture.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Consultant, Data Science (Customer Data)
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving Python and machine learning. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common data science scenarios and be ready to discuss how you’ve tackled challenges in the past.
✨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 hearing from passionate candidates like you!
We think you need these skills to ace Senior Consultant, Data Science (Customer Data)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Consultant role. Highlight your data science projects, especially those involving Python and machine learning, to show us you’re the right fit.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data science and how your background aligns with our mission. Share specific examples of your work in customer analytics or Generative AI to grab our attention.
Showcase Your Problem-Solving Skills:In your application, don’t just list your skills; demonstrate how you've used them to solve real-world problems. We love seeing how you’ve turned data into actionable insights for clients or 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 this exciting opportunity in our collaborative environment.
How to prepare for a job interview at Salt Digital Recruitment
✨Know Your Data Science Stuff
Make sure you brush up on your Python and machine learning techniques. Be ready to discuss specific projects where you've used these skills, especially in customer or marketing contexts. This will show that you can hit the ground running!
✨Showcase Your Consulting Experience
Since this role involves a lot of client interaction, highlight your previous consulting experience. Prepare examples of how you've translated complex data insights into actionable business recommendations. This will demonstrate your ability to communicate effectively with clients.
✨Get Familiar with Generative AI
As the role involves working with Generative AI and LLM projects, make sure you understand the latest trends and applications in this area. Be prepared to discuss any relevant projects you've worked on and how they can apply to customer data solutions.
✨Engage with Real-World Scenarios
Think about how you would approach real-world customer challenges using data science. Prepare to discuss hypothetical scenarios during the interview, showcasing your problem-solving skills and how you would collaborate with other team members to deliver impactful solutions.
