At a Glance
- Tasks: Shape pricing strategies and deliver analytics solutions for a global media business.
- Company: Join a leading global media company focused on revenue management.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Other info: Collaborate in agile teams and present findings to diverse audiences.
- Why this job: Make an impact by transforming data into actionable insights in a dynamic environment.
- Qualifications: Strong SQL and Python skills, with experience in pricing and commercial analytics.
The predicted salary is between 50000 - 60000 € per year.
HYBRID (1-2 DAYS PER MONTH IN THE OFFICE - LONDON) 7 MONTH CONTRACT
THE COMPANY: Join a global media business with a key focus on improving commercial visibility, pricing strategy, and revenue management processes.
THE ROLE: As a Data Scientist, you will work closely with commercial stakeholders across a specific European market to help shape and deliver revenue management and pricing analytics solutions. Each market is at a different stage of maturity, meaning this role will combine structured delivery work with more exploratory and discovery-led problem solving. You will be responsible for translating commercial questions into analytical requirements, building dashboards and reporting solutions, and supporting wider pricing and revenue optimisation initiatives.
As a Data Scientist, your key responsibilities will include:
- Building analytical solutions to support pricing and revenue management decisions
- Developing dashboards and reporting outputs in Tableau
- Writing complex SQL scripts and exploratory analyses
- Conducting advanced analysis around pricing, inventory demand, capacity forecasting, and commercial performance
- Working with stakeholders to understand business challenges and translate them into data requirements
- Supporting the creation of tools and frameworks that influence pricing decisions across multiple markets
- Collaborating within an agile squad environment alongside Data Scientists, Analytics Engineers, and commercial stakeholders
- Presenting findings to both technical and non-technical audiences
YOUR SKILLS AND EXPERIENCE: The successful candidate will have:
- Strong hands-on SQL experience
- Python experience for advanced modelling, forecasting, optimisation, or exploratory analytics
- Experience working on pricing, revenue management, commercial analytics, or forecasting projects
- Strong stakeholder management and communication skills
- Experience working closely with commercial or operational teams
- The ability to translate business problems into analytical solutions
- Experience working within agile squads and cross-functional environments
- Comfort working with ambiguity and helping shape early-stage analytical initiatives
- Experience within media or advertising environments would be highly beneficial
Data Scientist (Pricing) in London employer: Harnham
Join a dynamic global media business that prioritises innovation and collaboration, offering a hybrid work model that promotes flexibility while fostering a vibrant office culture in London. As a Data Scientist, you will have the opportunity to engage with diverse commercial stakeholders, driving impactful pricing strategies and revenue management solutions, all while benefiting from professional growth opportunities and a supportive team environment. With a focus on employee development and a commitment to excellence, this company stands out as an exceptional employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist (Pricing) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working in data science or pricing roles. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your analytical projects, dashboards, and any SQL or Python work you've done. This will give potential employers a taste of what you can bring to the table, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the business side of things. Be ready to discuss how your experience aligns with their needs, especially around pricing strategies and revenue management.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to show your enthusiasm for joining our team and being part of something big in the media world.
We think you need these skills to ace Data Scientist (Pricing) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Data Scientist (Pricing). Highlight your SQL and Python skills, and any relevant experience in pricing or revenue management. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how you can contribute to our team. Don’t forget to mention your experience with dashboards and stakeholder collaboration.
Showcase Your Analytical Skills:In your application, give examples of how you've tackled complex problems using data. Whether it's through advanced analysis or building reporting solutions, we want to see your analytical prowess in action!
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’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Harnham
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be ready to discuss complex queries you've written and how they’ve helped solve real business problems. Practising some common SQL scenarios can really help you stand out.
✨Showcase Your Python Skills
Prepare to talk about your experience with Python, especially in relation to modelling and forecasting. Have examples ready that demonstrate how you've used Python for exploratory analytics or optimisation tasks. This will show your technical prowess and problem-solving abilities.
✨Understand the Business Context
Familiarise yourself with the company’s pricing strategies and revenue management processes. Being able to discuss how your analytical solutions can directly impact their commercial visibility will impress the interviewers and show that you’re genuinely interested in the role.
✨Communicate Clearly with Stakeholders
Since this role involves working closely with commercial stakeholders, practice explaining complex data concepts in simple terms. Think of examples where you’ve successfully communicated findings to both technical and non-technical audiences, as this will highlight your strong communication skills.
