At a Glance
- Tasks: Lead data science projects and develop impactful machine learning models.
- Company: A large UK-based digital organisation embracing data and AI transformation.
- Benefits: Hybrid working, competitive pay, and potential for contract extension.
- Other info: Opportunity to work in a modern cloud-based environment with career growth.
- Why this job: Join a fast-paced team and make a real difference in customer engagement.
- Qualifications: Experience in leading data science projects and building predictive models.
The predicted salary is between 60000 - 80000 € per year.
We are supporting a large UK-based digital organisation undergoing a significant data and AI transformation, with growing demand for advanced analytics across commercial and customer-focused teams. This is a contract opportunity within a fast-moving Data Science function, working in a modern cloud-based environment. The role sits within a commercial analytics team focused on delivering measurable business impact through applied machine learning and production-grade data science.
Key Focus Areas (Must-Have Experience)
- Led data science projects in a commercial or enterprise environment
- Built and deployed customer churn prediction models in a commercial environment
- Developed Next Best Action / recommendation systems to drive customer engagement and value
- Delivered customer segmentation models (e.g. clustering, behavioural segmentation, lifecycle modelling)
- Strong experience in time series analysis and forecasting (e.g. demand, revenue, customer behaviour trends)
- Worked end-to-end in production data science environments, not just proof-of-concept models
Data Science Lead employer: Chroma Recruitment
Join a dynamic and innovative digital organisation in Central Manchester, where you will be at the forefront of a transformative data and AI journey. Our collaborative work culture fosters creativity and growth, offering you the chance to lead impactful data science projects while enjoying the flexibility of hybrid working. With a strong focus on employee development and a commitment to delivering measurable business outcomes, this is an excellent opportunity for those looking to make a meaningful contribution in a fast-paced environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Lead
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to a hiring manager.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those related to customer churn prediction or recommendation systems. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data science. Be ready to discuss your experience with time series analysis and how you've delivered measurable business impact in previous roles.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of exciting opportunities that match your skills. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Science Lead
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Science Lead role. Highlight your experience with customer churn prediction models and any relevant projects you've led. We want to see how your skills align with what we're looking for!
Showcase Your Projects:In your application, don’t just list your skills—show us what you’ve done! Include specific examples of data science projects you've worked on, especially those that had a measurable business impact. This will help us understand your hands-on experience.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate straightforward communication, so avoid jargon unless it's necessary!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we’ll be able to track your application better. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Chroma Recruitment
✨Know Your Data Science Projects Inside Out
Make sure you can discuss your previous data science projects in detail. Be ready to explain the challenges you faced, the methodologies you used, and the measurable impacts your work had on the business. This will show your depth of experience and ability to lead projects effectively.
✨Brush Up on Key Techniques
Since the role focuses on customer churn prediction and recommendation systems, review your knowledge on these topics. Be prepared to discuss specific algorithms you've used, how you implemented them, and the results they achieved. This will demonstrate your technical expertise and relevance to the role.
✨Showcase Your End-to-End Experience
Highlight your experience working in production data science environments. Discuss how you've taken models from concept to deployment, including any challenges you faced during this process. This will reassure the interviewers that you can handle the demands of a fast-moving environment.
✨Prepare Questions That Show Your Interest
Think of insightful questions to ask about the company's data strategy and how the analytics team fits into their overall goals. This not only shows your enthusiasm for the role but also helps you gauge if the company aligns with your career aspirations.
