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For Companies At a Glance
- Tasks: Build predictive models and analyse user journeys to enhance customer engagement.
- Company: Join a leading independent media and entertainment group with iconic brands.
- Benefits: Enjoy a hybrid work model, competitive salary, and additional perks.
- Why this job: Make an impact by driving smarter decisions and optimising audience insights.
- Qualifications: Experience in data science and analytics is essential; passion for media is a plus.
- Other info: This is a full-time, permanent role based in Manchester.
The predicted salary is between 54000 - 126000 £ per year.
Join one of the world’s largest independent media and entertainment groups, home to iconic brands across audio, publishing, and digital. They’re now hiring Customer Data Scientists to help unlock deeper audience insights, optimise engagement, and drive smarter decision-making across their Audio Division.
What you’ll be doing:
- Build and deploy predictive models to understand customer behaviour, loyalty, and segmentation
- Analyse user journeys across digital and audio platforms to improve engagement
- Support optimisation of ad inventory and revenue through data-driven pricing models
- Work on growth areas like competitions and targeting, identifying who to engage—and why
- Partner closely with teams across product, marketing, and analytics
- Present findings to technical and non-technical stakeholders to influence business strategy
Customer Data Scientist employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Customer Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in customer data analysis and predictive modelling. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the media and entertainment industry, especially those working in data science roles. Attend relevant meetups or webinars to make connections that could provide insights into the company culture and expectations.
✨Tip Number 3
Prepare to showcase your analytical skills by working on a personal project or case study related to customer behaviour analysis. This will not only enhance your portfolio but also give you concrete examples to discuss during your interview.
✨Tip Number 4
Understand the specific challenges faced by the audio division of the company. Research their current strategies and think about how your skills can help address these challenges, which will show your proactive approach and genuine interest in the role.
We think you need these skills to ace Customer Data Scientist
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Customer Data Scientist. Familiarise yourself with predictive modelling, customer behaviour analysis, and data-driven decision-making.
Tailor Your CV: Highlight relevant experience in data science, particularly in building predictive models and analysing user journeys. Use specific examples that demonstrate your skills in optimising engagement and working with cross-functional teams.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and how it can drive business strategy. Mention your ability to present findings to both technical and non-technical stakeholders, as this is crucial for the role.
Showcase Your Technical Skills: Make sure to include any relevant technical skills, such as proficiency in programming languages (like Python or R), data analysis tools, and experience with machine learning techniques. This will help you stand out as a strong candidate.
How to prepare for a job interview at Harnham
✨Showcase Your Analytical Skills
As a Customer Data Scientist, you'll need to demonstrate your ability to build and deploy predictive models. Be prepared to discuss specific projects where you've successfully analysed data to derive insights, and explain the methodologies you used.
✨Understand the Business Context
Familiarise yourself with the media and entertainment industry, particularly how data influences customer engagement. Research the company’s brands and think about how your role can impact their strategies, especially in audio and digital platforms.
✨Prepare for Technical Questions
Expect questions that assess your technical knowledge in data science, such as statistical methods, machine learning algorithms, and data analysis tools. Brush up on relevant technologies and be ready to solve problems on the spot.
✨Communicate Effectively
You'll need to present findings to both technical and non-technical stakeholders. Practice explaining complex concepts in simple terms, and prepare examples of how you've influenced business decisions through your insights.
