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For Companies At a Glance
- Tasks: Uncover insights from customer data and develop predictive models to enhance experiences.
- Company: Join a leading analytics recruitment agency with a focus on innovation.
- Benefits: Competitive salary, hybrid working, and opportunities for professional growth.
- Why this job: Make a real impact by transforming data into actionable insights for better customer engagement.
- Qualifications: Experience in data science, proficiency in Python, and strong communication skills.
- Other info: Collaborative environment with excellent referral schemes and career advancement opportunities.
The predicted salary is between 65000 - 75000 £ per year.
We are seeking for an experienced, passionate and highly motivated Data Scientist who will help discover the information hidden in vast amounts of customer data, and help make data driven decisions to deliver better products, service and relevance to the customers.
THE ROLE
- Customer Science
- Develop and implement predictive models to understand drivers of customer behaviour, including purchase patterns, customer lifetime events and sentiment analysis.
- Create sophisticated customer segmentation using behavioural, transactional, and demographic data.
- Design and build predictive models to enhance personalized customer experiences across all channels.
- Collaborate on design of test & learn methods to measure CRM initiatives' effectiveness.
- Monitor and optimize model performance through continuous improvement cycles.
- Technical Implementation
- Transform analytical solutions into production-ready code.
- Implement models within our existing technology stack.
- Ensure scalability and efficiency of deployed solutions.
- Stakeholder Communication & Collaboration
- Translate complex analytical findings into clear, actionable insights.
- Create compelling data visualizations to effectively communicate patterns and insights.
- Partner with cross-functional teams to enhance CRM strategies.
- Provide data-driven recommendations to improve customer engagement metrics.
Skills
- Relevant experience in Customer Marketing Data Science including applied statistics and machine learning techniques (supervised and unsupervised learning, natural language processing, Bayesian statistics, time-series forecasting, collaborative filtering etc).
- Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch.
- Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku, Databricks.
- Experience with ML Ops, including model deployment, monitoring, and retraining pipelines.
- Ability to work cross-functionally with marketing, CRM, and engineering teams.
- Excellent communication skills.
- Experience in a global or multi-regional context is a plus.
Data Scientist - Customer Data in London employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Customer Data in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. 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 projects, especially those involving customer data analysis. Use platforms like GitHub to share your code and visualisations, making it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the company’s data needs. Be ready to discuss how you can apply your knowledge of predictive models and customer behaviour to their specific challenges.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate candidates who are eager to make an impact in the world of data science.
We think you need these skills to ace Data Scientist - Customer Data in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Scientist - Customer Data. Highlight your experience with customer marketing data science, machine learning techniques, and any relevant projects that showcase your skills in predictive modelling and customer segmentation.
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. Don’t forget to mention specific examples of how you've used data to drive decisions in previous roles.
Showcase Your Technical Skills: We want to see your technical prowess! Be sure to include your proficiency in Python and any experience with ML libraries like pandas or scikit-learn. If you’ve worked with cloud platforms or ML Ops, make that clear too – we love seeing those skills!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative to connect with us directly!
How to prepare for a job interview at Datatech Analytics
✨Know Your Data Science Stuff
Make sure you brush up on your knowledge of applied statistics and machine learning techniques. Be ready to discuss your experience with predictive models, customer segmentation, and any relevant projects you've worked on. This is your chance to show off your skills!
✨Showcase Your Technical Skills
Familiarise yourself with Python and the ML libraries mentioned in the job description. Be prepared to talk about how you've transformed analytical solutions into production-ready code and your experience with cloud platforms like GCP or AWS. Practical examples will really help you stand out.
✨Communicate Clearly
Since you'll need to translate complex findings into actionable insights, practice explaining your work in simple terms. Think about how you can create compelling data visualisations that tell a story. This will demonstrate your ability to communicate effectively with cross-functional teams.
✨Prepare for Collaboration Questions
Expect questions about working with marketing, CRM, and engineering teams. Have examples ready that showcase your collaborative spirit and how you've contributed to enhancing CRM strategies. Highlighting your teamwork skills will show you're a great fit for their culture.
