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- Tasks: Develop and deliver innovative data science solutions using Python and machine learning.
- Company: Join a global consultancy that merges data science with creativity and strategy.
- Benefits: Competitive salary, bonus, hybrid work, and strong career development opportunities.
- Why this job: Make a real impact by applying AI to enhance customer engagement for major brands.
- Qualifications: 4+ years in data science, strong Python skills, and experience with Generative AI.
- Other info: Collaborative environment with exposure to cutting-edge AI projects across various sectors.
The predicted salary is between 60000 - 70000 £ per year.
Salary: £60,000-£70,000 + ~£4,000 bonus
Location: Hybrid (UK-based)
Type: Permanent
About the Role
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) in London employer: Salt Search
Contact Detail:
Salt Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Consultant, Data Science (Customer Data) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who work in consulting. A friendly chat can lead to insider info about job openings or even referrals.
✨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 and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to discuss how you've tackled real-world data challenges and how you can apply your expertise to enhance customer engagement.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Senior Consultant, Data Science (Customer Data) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science and consulting. Use keywords from the job description, like 'Generative AI' and 'Python', to show we’re on the same page.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share specific examples of how you've used data science to drive customer engagement. Let us see your passion for the role!
Showcase Your Projects: If you’ve worked on relevant projects, don’t hold back! Include links or descriptions of your work with machine learning or analytics. We want to see your hands-on experience!
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 don’t miss out on any updates!
How to prepare for a job interview at Salt Search
✨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 deliver the advanced analytics they’re looking for.
✨Showcase Your Consulting Experience
Since this role involves engaging with clients, 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 bridge the gap between data science and client needs.
✨Get Familiar with Generative AI
As they’re looking for someone with a proven track record in Generative AI and LLM-based solutions, be prepared to discuss your experience in this area. Bring examples of projects where you've built or evaluated models tailored to customer applications.
✨Practice Your Communication Skills
Excellent communication is key in this role. Practice explaining complex data concepts in simple terms. You might be asked to present your findings or ideas during the interview, so being clear and concise will set you apart from other candidates.