Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead high-impact data science projects and deliver actionable insights.
- Company: Join a global, data-driven company using cutting-edge technology.
- Benefits: Enjoy flexible work options and innovative corporate perks.
- Why this job: Make a real impact on advertising effectiveness and creative optimisation.
- Qualifications: Experience in data science within a commercial environment is essential.
- Other info: Opportunity to work with SQL and Python in a dynamic team.
The predicted salary is between 28800 - 48000 £ per year.
This is a new position for a Data Scientist with a global, data-driven company with cutting-edge technology who leverage data to serve as a true market differentiator. The focus of this role is to deliver data science solutions which impact areas such as the effectiveness of advertising and the optimisation of dynamic creatives.
The individual in this role will be asked to:
- Take the lead on the life cycle, high-impact projects
- Scope and stage projects to include detailed milestones and delivery schedules
- Use SQL and/or Python (Jupyter Notebooks) to prepare data, perform exploratory data analysis, evaluate different modeling approaches
- Engage in problem-solving, fault-finding, addressing issues in the data or approaches as they arise
- Investigate the data and make recommendations on solutions to client’s requirements
And should have experience of:
- Working in a Data Scientist role in a high value commercial environment
- Requirements gathering and idea generation
- Defining problems (and criteria for success)
- Data wrangling, EDA, modeling and interpreting results
- Providing relevant insights
- Advanced statistical and analytical techniques
Contact Detail:
Click To Hired 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, especially in advertising and dynamic creatives. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Brush up on your SQL and Python skills, particularly in using Jupyter Notebooks. Being able to demonstrate your proficiency in these tools during technical discussions can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully scoped and delivered data science solutions. Highlighting your experience with project milestones and delivery schedules will show that you can manage high-impact projects effectively.
✨Tip Number 4
Think about how you've approached problem-solving in past roles. Be ready to share examples of how you've tackled data issues or modelling challenges, as this will demonstrate your analytical thinking and adaptability.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Scientist position. Familiarise yourself with key terms like SQL, Python, data wrangling, and exploratory data analysis.
Tailor Your CV: Customise your CV to highlight relevant experience in data science, particularly in high-value commercial environments. Emphasise your skills in SQL, Python, and any advanced statistical techniques you've used.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and how your background aligns with the company's goals. Mention specific projects where you've successfully delivered data-driven solutions.
Showcase Problem-Solving Skills: In your application, provide examples of how you've tackled complex problems in previous roles. Highlight your ability to investigate data issues and recommend effective solutions.
How to prepare for a job interview at Click To Hired
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL and Python, especially in the context of data preparation and exploratory data analysis. Bring examples of past projects where you used these tools to solve real-world problems.
✨Demonstrate Problem-Solving Abilities
Expect to be asked about how you've tackled challenges in previous roles. Prepare specific examples that highlight your fault-finding skills and how you addressed issues in data or methodologies.
✨Understand the Business Impact
Research the company’s market and how they leverage data for advertising effectiveness. Be ready to discuss how your work as a Data Scientist can directly contribute to their business goals and client requirements.
✨Prepare for Scenario-Based Questions
Anticipate questions that require you to define problems and criteria for success. Practice articulating your thought process in scoping projects and setting milestones, as this will demonstrate your project management capabilities.
