Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join a media organisation to build forecasting models and analyse digital content performance.
- Company: A dynamic media company in London, focused on innovative data solutions.
- Benefits: Enjoy hybrid working, competitive salary, and a collaborative work environment.
- Why this job: Be part of an exciting project that combines data science with real-world impact.
- Qualifications: Strong experience in time series forecasting and cloud tools like GCP and AWS required.
- Other info: Flexible start date and a single-stage interview process with a live coding task.
The predicted salary is between 42000 - 48000 £ per year.
An exciting media organisation in London is looking for a Data Scientist to join them on a new forecasting project.
Based in London, hybrid working, ideally 2-3 days a week in the office (flexible).
6 or 12-month contract. Start date: End of June or early July. £70,000 - £80,000 pro Rata.
The Job:
- Building forecasting models to track digital content performance.
- Working with time series data, ideally using methods common in finance or trading.
- Incorporating NLP where relevant and sourcing external data to enhance models.
- Using cloud-based tools such as GCP, AWS, and BigQuery.
- Collaborating with internal stakeholders and clearly presenting data insights.
- Taking part in a single-stage, in-person interview that includes a live coding task.
You:
- Strong experience in time series forecasting from finance, trading or logistics.
- Comfortable working with external data and applying NLP techniques.
- Confident using cloud tools (GCP, AWS) and BigQuery.
- Self-sufficient and able to work flexibly in a hybrid environment.
- Available to start at the end of June.
Apply Now. You can apply for the Data Scientist position now by sending us your CV or by calling us. Don't forget to register as a candidate too.
Contact Detail:
Job Traffic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - 6 Month Contract
✨Tip Number 1
Familiarise yourself with the specific forecasting models used in finance and trading. Brush up on your time series analysis skills, as this will be crucial for the role.
✨Tip Number 2
Get comfortable with cloud-based tools like GCP, AWS, and BigQuery. Consider doing some hands-on projects or tutorials to showcase your proficiency during the interview.
✨Tip Number 3
Prepare for the live coding task by practising coding challenges that focus on data manipulation and model building. This will help you feel more confident during the interview.
✨Tip Number 4
Work on your communication skills, especially when it comes to presenting data insights. Being able to clearly explain your findings to stakeholders is key in this role.
We think you need these skills to ace Data Scientist - 6 Month Contract
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in time series forecasting, cloud tools like GCP and AWS, and any relevant NLP techniques. Use specific examples to demonstrate your skills.
Craft a Compelling Cover Letter: Write a cover letter that explains why you're interested in the Data Scientist role and how your background aligns with the responsibilities outlined in the job description. Mention your experience with forecasting models and collaboration with stakeholders.
Prepare for the Interview: Since the interview includes a live coding task, brush up on your coding skills and be ready to discuss your previous projects. Practice explaining your thought process clearly, as communication is key.
Follow Up: After submitting your application, consider sending a brief follow-up email to express your continued interest in the position. This shows enthusiasm and can help keep you on their radar.
How to prepare for a job interview at Job Traffic
✨Brush Up on Time Series Forecasting
Make sure you have a solid understanding of time series forecasting techniques, especially those used in finance or trading. Be prepared to discuss your previous experiences and how you've applied these methods in real-world scenarios.
✨Showcase Your NLP Skills
Since the role involves incorporating NLP techniques, be ready to explain how you've used NLP in past projects. Bring examples of how external data has enhanced your models and be prepared to discuss the challenges you faced.
✨Familiarise Yourself with Cloud Tools
As the job requires experience with GCP, AWS, and BigQuery, ensure you're comfortable discussing these tools. You might be asked about specific projects where you've utilised these platforms, so have some examples ready.
✨Prepare for the Live Coding Task
The interview includes a live coding task, so practice coding under pressure. Focus on problems related to data manipulation and forecasting models, as this will likely align with the tasks you'll face in the role.
