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- Tasks: Lead the development of forecasting models for a major media organisation.
- Company: Join a dynamic media company focused on digital performance and innovation.
- Benefits: Enjoy flexible working arrangements and the chance to work with cutting-edge technology.
- Why this job: Make a real impact by predicting ad revenue and website traffic in a collaborative environment.
- Qualifications: Expertise in time series forecasting, strong Python and SQL skills required.
- Other info: Opportunity to work with advanced tools like GCP, Docker, and Kubernetes.
The predicted salary is between 48000 - 72000 £ per year.
We're hiring a contract Data Scientist to lead the development of forecasting models for a major media organisation. The project is fully scoped and delivery-focused; you'll be responsible for building daily, weekly, and monthly time series models to predict ad revenue, website traffic, and overall digital performance.
Key Responsibilities
- Build and deploy time series forecasting models to predict traffic, ad performance, and revenue
- Work across multiple temporal resolutions (daily, weekly, monthly)
- Collaborate with stakeholders in product, marketing, and commercial teams to define inputs and targets
- Work with structured web analytics and revenue data in a cloud environment
- Ensure models are robust, explainable, and production-ready
Tech Environment
- Python (NumPy, Pandas, scikit-learn)
- SQL
- GCP (BigQuery, Cloud Functions)
- Deployment: Docker, Kubernetes, Airflow
- Git, CI/CD pipelines
- Tableau (optional)
Requirements
- Proven expertise in time series forecasting at multiple projects
- Strong Python and SQL skills
- Experience deploying models into production in a cloud environment (GCP preferred)
- Ability to work independently and manage delivery from end to end
- Strong communication skills for cross-team collaboration
Contact Detail:
Placed Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Timeseries Data Scientist (Contract) (London)
✨Tip Number 1
Familiarise yourself with the specific time series forecasting techniques that are relevant to the media industry. Understanding how to apply models like ARIMA or Prophet in a practical context can set you apart during discussions with our team.
✨Tip Number 2
Brush up on your Python and SQL skills, especially focusing on libraries like NumPy and Pandas. Being able to demonstrate your proficiency in these tools during technical discussions will show us that you're ready to hit the ground running.
✨Tip Number 3
Prepare to discuss your previous experience with deploying models in a cloud environment, particularly GCP. Having concrete examples of how you've managed end-to-end delivery will highlight your capability to handle the responsibilities of this role.
✨Tip Number 4
Since collaboration is key in this role, think about how you can effectively communicate complex data insights to non-technical stakeholders. Practising how to explain your work in simple terms will help you stand out during interviews.
We think you need these skills to ace Timeseries Data Scientist (Contract) (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with time series forecasting, Python, and SQL. Include specific projects where you've built and deployed models, especially in a cloud environment.
Craft a Compelling Cover Letter: In your cover letter, emphasise your ability to work independently and manage projects from start to finish. Mention any relevant experience collaborating with product, marketing, or commercial teams.
Showcase Technical Skills: Clearly outline your technical skills related to the job description, such as your proficiency in Python libraries like NumPy and Pandas, as well as your experience with GCP and deployment tools like Docker and Kubernetes.
Highlight Communication Abilities: Since strong communication skills are essential for this role, provide examples of how you've successfully collaborated with different teams in previous projects. This will demonstrate your ability to work cross-functionally.
How to prepare for a job interview at Placed
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and any relevant libraries like NumPy and Pandas. Highlight specific projects where you've successfully built and deployed time series forecasting models.
✨Understand the Business Context
Research the media organisation and understand their business model. Be ready to explain how your forecasting models can directly impact ad revenue and website traffic, demonstrating your ability to align technical work with business goals.
✨Prepare for Collaboration Questions
Since the role involves working with various teams, think of examples where you've successfully collaborated with stakeholders. Be ready to discuss how you gather requirements and communicate complex data insights in an understandable way.
✨Demonstrate Your Problem-Solving Skills
Expect questions that assess your problem-solving abilities, especially in a cloud environment. Prepare to discuss challenges you've faced in deploying models and how you ensured they were robust and production-ready.
