At a Glance
- Tasks: Lead operational analytics and support data-driven decision-making in a fast-paced digital advertising environment.
- Company: Join CJ, a leader in digital advertising with a focus on innovation and collaboration.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with opportunities to mentor and guide fellow analysts.
- Why this job: Make an impact by leveraging AI tools and analytics to drive business success.
- Qualifications: 5+ years in analytics, strong Tableau skills, and experience with AI workflows.
The predicted salary is between 60000 - 80000 £ per year.
In this Senior Data Scientist role at CJ, you will serve as a senior operational analytics resource supporting internal and client-facing reporting, analytics, and data requests across the business. This role focuses on executional analytics, Jira queue management, scalable reporting solutions, AI-enabled workflows, and operational excellence within a fast-paced digital advertising environment.
You will work across multiple stakeholders and business functions to support ad hoc analysis, reporting requests, data investigations, and e-commerce and digital advertising measurement initiatives, including performance analysis and incrementality-focused requests, while leveraging AI tools and coding agents to improve workflow efficiency, delivery quality, and operational scale.
What you will do:
- Lead operational analytics support across Jira workflows, ad hoc reporting requests, internal stakeholder asks, and client support needs.
- Help manage team bandwidth, queue prioritization, ticket intake, and work allocation while ensuring requests are clearly scoped and actionable.
- Serve as a senior escalation point for analysts by providing guidance on troubleshooting, reporting logic, delivery standards, AI-enabled workflows, and best practices.
- Analyze e-commerce and digital advertising data to support reporting, campaign analysis, operational insights, measurement initiatives, and client-facing requests.
- Partner with account teams, analysts, and cross-functional stakeholders to deliver timely and accurate data solutions.
- Identify recurring request trends and develop scalable reporting and AI-assisted operational solutions while ensuring strong data quality, validation, monitoring, and operational consistency across workflows.
- Build and maintain Tableau dashboards and reporting solutions while utilizing Spark, Databricks, and AI coding agents to support analysis, investigate data issues, and improve workflow efficiency.
What we look for:
- 5+ years of experience in analytics, marketing science, business intelligence, or a related field.
- Strong experience with Tableau and large-scale data environments such as Spark or Databricks.
- Experience utilizing AI coding agents and AI-enabled workflows to improve productivity, operational efficiency, and analytics delivery.
- Strong understanding of e-commerce, digital advertising, and performance marketing principles, including affiliate and partner-based ecosystems.
- Strong analytical, organizational, and problem-solving skills with attention to detail and data accuracy.
- Experience guiding or mentoring analysts and driving operational consistency across a team.
- Strong communication and stakeholder management skills with the ability to translate technical concepts into business-friendly insights.
Preferred:
- Experience with Python, PySpark, or Scala.
- Experience training, tuning, or optimizing AI agents and workflows for analytics, reporting, or client-facing use cases.
- Experience supporting enterprise-level reporting or analytics environments.
- Familiarity with digital advertising measurement methodologies, incrementality analysis, and reporting frameworks.
- Experience working in cross-functional global team environments and improving operational workflows or analytics governance standards.
- Familiarity with marketing analytics and measurement methodologies, including marketing mix modeling (MMM), attribution, and campaign performance frameworks.
Senior Data Scientist in London employer: Publicisgroupe
At CJ, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Senior Data Scientist, you will have the opportunity to work in a dynamic digital advertising environment, where your contributions directly impact client success and operational excellence. We offer robust employee growth opportunities, including mentorship and training in cutting-edge AI technologies, ensuring that you are well-equipped to thrive in your career while enjoying a supportive and inclusive workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at CJ or in a similar field. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your experience with Tableau, Spark, and AI tools. Share specific examples of how you've used these skills to solve problems or improve processes in your previous roles.
✨Be Ready for the Technical Stuff
Prepare for technical interviews by brushing up on your coding skills, especially in Python or PySpark. You might be asked to solve real-world problems on the spot, so practice makes perfect!
✨Apply Through Our Website
Don't forget to apply directly through our website! It shows you're genuinely interested in the role and helps us keep track of your application. Plus, it’s the best way to ensure your CV lands in the right hands.
We think you need these skills to ace Senior Data Scientist in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Data Scientist role. Highlight your experience with Tableau, Spark, and AI tools, as these are key to what we’re looking for.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about operational analytics and how your background aligns with our needs. Don’t forget to mention any relevant projects or achievements!
Showcase Your Analytical Skills:In your application, provide examples of how you've used data to drive decisions or improve processes. We love seeing real-world applications of your analytical prowess!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at Publicisgroupe
✨Know Your Tools Inside Out
Make sure you're well-versed in Tableau, Spark, and Databricks. Be ready to discuss how you've used these tools in past projects, especially in relation to operational analytics and reporting solutions. This will show that you can hit the ground running.
✨Showcase Your Analytical Skills
Prepare examples of how you've tackled complex data problems or improved workflows using AI coding agents. Highlight specific instances where your analytical skills led to actionable insights or enhanced operational efficiency.
✨Communicate Like a Pro
Practice explaining technical concepts in simple terms. You’ll need to demonstrate your ability to translate data findings into business-friendly insights, so think of examples where you've successfully communicated with stakeholders.
✨Be Ready for Scenario Questions
Expect questions about managing Jira workflows and prioritising tasks. Think through scenarios where you've had to balance multiple requests or guide junior analysts, as this will showcase your leadership and organisational skills.
