Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead customer analytics projects and develop predictive models to enhance customer engagement.
- Company: Join a dynamic team focused on data-driven decision-making in a fast-paced environment.
- Benefits: Enjoy hybrid working, competitive salary, bonuses, and continuous learning opportunities.
- Why this job: Make a real impact on customer retention and influence C-level strategies in a supportive culture.
- Qualifications: 7+ years in data science with a focus on customer behaviour; MSc or PhD preferred.
- Other info: Experience in B2C industries is a plus; familiarity with cloud platforms and BI tools is beneficial.
The predicted salary is between 60000 - 80000 £ per year.
Senior Data Scientist – Customer & Behavioural Analytics
£70,000 – £80,000 + Bonus + Benefits
Hybrid Working – 1 day in the office circa every 2 weeks.
Role Summary
We are seeking a commercially minded Senior Data Scientist to lead the development of advanced analytics and machine learning solutions focused on customer behavior, personalization, and lifecycle management. Your work will directly impact customer retention, engagement, and lifetime value, helping the business make smarter, data-driven decisions at scale.
Key Responsibilities
- Lead customer-centric analytics projects across retention, segmentation, churn prediction, product usage, and personalization
- Build and maintain predictive models (e.g. churn, CLV, next-best action, recommendation systems) and translate insights into business value
- Conduct deep-dive analyses into customer journeys, identifying behavioral trends and opportunities for intervention
- Partner with Marketing, Product, and Customer Success to optimize campaigns, targeting strategies, and user engagement
- Own the end-to-end lifecycle of models: from problem framing to deployment and monitoring
- Present analytical findings and strategies to stakeholders in a compelling and actionable way
- Mentor junior data scientists and contribute to the evolution of data science standards and practices
Key Skills & Technologies
Technical:
- Strong in Python (pandas, scikit-learn, XGBoost, LightGBM, etc.)
- Proficient in SQL for complex customer data extraction and manipulation
- Experience with customer analytics techniques: segmentation, RFM analysis, clustering, time-series, A/B testing, uplift modeling
- Familiarity with BI tools (e.g. Tableau, Power BI) for communicating customer insights
- Comfortable working with large datasets from sources like CRM, web analytics, product telemetry, etc.
- Exposure to cloud platforms (AWS, GCP, Azure) and modern data pipelines (e.g. Airflow, dbt) is a plus
Soft Skills:
- Business-oriented thinker with strong communication skills
- Able to clearly explain complex models to non-technical audiences
- Skilled in stakeholder engagement and translating analytics into action
- Curious, collaborative, and proactive in driving change
Qualifications
- 7+ years in data science or analytics with a strong focus on customer behavior
- MSc or PhD in a quantitative field (Statistics, Data Science, Computer Science, Applied Math)
- Proven track record of creating measurable business value through customer-focused models and analytics
- Experience working in B2C, e-commerce, subscription, retail, or fintech industries is a strong advantage
Nice to Have
- Experience with NLP for customer feedback or support ticket analysis
- Exposure to MLOps for model deployment and monitoring
- Familiarity with tools like Amplitude, Mixpanel, or Google Analytics
Why Join Us?
- Shape data-driven strategy for how we understand and engage with our customers
- Collaborate with cross-functional teams and influence C-level decision-making
- Work in a high-impact, fast-paced environment where your work matters
- Supportive and innovative data culture with continuous learning opportunities
Please do send across to me the most up to date CV to eobiechefu@welovesalt.com
*Rates depend on experience and client requirements
Job Information
Apply for this Job
Please enter your full name.
Enter a valid email address.
Upload your CV to accompany your application for this job.
Fields marked with * are required.
#J-18808-Ljbffr
Data Scientist – Customer Behavioural, Churn, CLV – London employer: Salt Digital Recruitment
Contact Detail:
Salt Digital Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist – Customer Behavioural, Churn, CLV – London
✨Tip Number 1
Familiarise yourself with the latest trends in customer behaviour analytics. Understanding current methodologies and tools will not only help you during interviews but also demonstrate your commitment to staying updated in this fast-evolving field.
✨Tip Number 2
Network with professionals in the data science community, especially those focused on customer analytics. Engaging in discussions or attending relevant meetups can provide insights into what companies like us are looking for in candidates.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented predictive models or analytics solutions. Be ready to explain the impact of your work on customer retention or engagement, as this aligns closely with our needs.
✨Tip Number 4
Showcase your ability to communicate complex data insights to non-technical stakeholders. Practice explaining your past projects in simple terms, as this skill is crucial for the role and will set you apart from other candidates.
We think you need these skills to ace Data Scientist – Customer Behavioural, Churn, CLV – London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly focusing on customer behaviour analytics. Emphasise your skills in Python, SQL, and any customer analytics techniques you've used.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of the role and how your background aligns with the company's needs. Mention specific projects where you've successfully implemented predictive models or improved customer engagement.
Showcase Your Technical Skills: In your application, clearly outline your proficiency in the required technologies such as pandas, scikit-learn, and BI tools. Provide examples of how you've used these tools to drive business value.
Highlight Soft Skills: Don't forget to mention your soft skills, especially your ability to communicate complex data insights to non-technical stakeholders. This is crucial for a role that involves collaboration with marketing and product teams.
How to prepare for a job interview at Salt Digital Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and any relevant libraries like pandas or scikit-learn. Bring examples of predictive models you've built, especially those related to customer behaviour, as this will demonstrate your technical prowess.
✨Understand the Business Impact
Make sure you can articulate how your analytical work has driven business value in previous roles. Prepare to discuss specific projects where your insights led to improved customer retention or engagement, as this aligns with the company's goals.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. Since you'll be presenting findings to non-technical stakeholders, being able to translate your analyses into actionable strategies is crucial for success in this role.
✨Prepare for Behavioural Questions
Expect questions about teamwork and collaboration, especially since you'll be working with Marketing, Product, and Customer Success teams. Have examples ready that showcase your ability to engage stakeholders and drive change within a team setting.
