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- Tasks: Join a team to analyse data and build predictive models for media products.
- Company: Robert Walters is a leading recruitment agency connecting talent with innovative companies.
- Benefits: Enjoy remote work flexibility and a competitive daily rate of £700–£725.
- Why this job: Be part of a dynamic team driving data solutions that impact user experience and product innovation.
- Qualifications: 2+ years in machine learning, advanced degree in a relevant field, and strong Python skills required.
- Other info: This is a contractor role with a focus on technology and digital innovation.
We’re looking for a Contract Data Scientist to join a cross-functional team working on innovative, data-driven products in the media and content space.
Some key responsibilities of the role:
- Analyse large, complex datasets related to audience behaviour, website behaviour, content consumption, and engagement trends.
- Build and deploy predictive models using machine learning and time series algorithms to drive business decisions.
- Partner with Marketing, Sales, Product, and Engineering teams to shape data solutions and support product innovation.
- Run A/B and multivariate tests to evaluate new features and optimise user experience and model performance.
- Improve and maintain tools and infrastructure supporting the ML lifecycle (e.g., pipelines, deployment, monitoring).
- Translate complex findings into clear insights for both technical and non-technical stakeholders.
- Ensure work adheres to internal governance and external privacy regulations.
Some key experience for the role:
- 2+ years of hands-on ML experience in real-world settings.
- Advanced degree in statistics, mathematics, computer science, or similar.
- Strong background in Python, SQL, and key libraries (NumPy, Pandas, Scikit-Learn).
- Solid understanding of machine learning algorithms, time series forecasting, and model evaluation.
- Familiarity with cloud platforms (AWS and/or GCP).
- Experience with productionising models using tools like Kubernetes, Docker, and Airflow.
- Good knowledge of NLP techniques for text analysis.
- Ability to design and run effective experiments (A/B, multivariate).
- Excellent communicator – able to explain complex ideas to both technical and non-technical stakeholders.
This is an inside IR35 opportunity offering £700–£725, ideal for someone who combines technical excellence with business insight. Please apply if you would like to be considered.
Data Scientist employer: Robert Walters UK
Contact Detail:
Robert Walters UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in data science, particularly in the media and content space. Understanding how audience behaviour and engagement trends are analysed can give you an edge during discussions with our team.
✨Tip Number 2
Brush up on your Python and SQL skills, especially focusing on libraries like NumPy, Pandas, and Scikit-Learn. Being able to demonstrate your proficiency in these tools during interviews will show us that you're ready to hit the ground running.
✨Tip Number 3
Prepare to discuss your experience with machine learning algorithms and model evaluation. Be ready to share specific examples of projects where you've successfully implemented these techniques, as this will highlight your hands-on experience.
✨Tip Number 4
Practice explaining complex data findings in simple terms. Since you'll be working with both technical and non-technical stakeholders, showcasing your communication skills can set you apart from other candidates.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly your hands-on machine learning projects. Emphasise your proficiency in Python, SQL, and any key libraries like NumPy and Pandas.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about data science and how your skills align with the responsibilities outlined in the job description. Mention specific experiences where you've successfully analysed complex datasets or built predictive models.
Showcase Your Communication Skills: Since the role requires translating complex findings into clear insights, provide examples in your application of how you've effectively communicated technical concepts to non-technical stakeholders in previous roles.
Highlight Relevant Projects: Include details of any relevant projects or experiments you've conducted, especially those involving A/B testing or multivariate analysis. This will demonstrate your practical experience and ability to drive business decisions through data.
How to prepare for a job interview at Robert Walters UK
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with machine learning, Python, and SQL. Bring examples of projects where you've built predictive models or worked with large datasets, as this will demonstrate your technical prowess.
✨Communicate Clearly
Since the role requires translating complex findings into clear insights, practice explaining your past projects in simple terms. This will help you connect with both technical and non-technical stakeholders during the interview.
✨Demonstrate Collaboration
Highlight your experience working with cross-functional teams. Be ready to share examples of how you've partnered with marketing, sales, or engineering teams to shape data solutions and support product innovation.
✨Prepare for Practical Tests
Expect to run through some practical tests or case studies related to A/B testing or model evaluation. Brush up on your experimental design skills and be ready to discuss how you would approach these tasks in a real-world scenario.
