At a Glance
- Tasks: Lead operational analytics and support data-driven decision-making in a fast-paced environment.
- Company: Join CJ Affiliate, a leader in Global Affiliate Marketing within Publicis Groupe.
- Benefits: Competitive salary, career development, and a collaborative team culture.
- Other info: Dynamic role with opportunities for mentorship and cross-functional collaboration.
- Why this job: Make an impact with innovative technology and AI tools in digital advertising.
- Qualifications: 5+ years in analytics, strong Tableau skills, and experience with AI workflows.
The predicted salary is between 60000 - 80000 £ per year.
Company Description: As part of Publicis Groupe, CJ Affiliate is the leader in Global Affiliate Marketing. We take pride in our innovative technology, comprehensive data solutions and our people. We equip our teams with the tools, training and career development opportunities to provide cutting edge solutions, strategies and support that deliver high quality results for our clients. We work in an energetic, results-oriented, collaborative, team environment that recognises exceptional performance. As we evolve and grow as a business, so do you.
Overview: 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 employer: Publicis Groupe UK
At CJ Affiliate, part of Publicis Groupe, we pride ourselves on being an exceptional employer that fosters a dynamic and collaborative work culture. Our commitment to employee growth is evident through our comprehensive training programmes and career development opportunities, ensuring that as we innovate in global affiliate marketing, our team members evolve alongside us. Located in a fast-paced digital advertising environment, we offer the unique advantage of working with cutting-edge technology and AI tools, empowering our employees to deliver high-quality results while enjoying a supportive and energetic atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior Data Scientist role.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills and understanding the latest trends in e-commerce and digital advertising. We recommend practising common data science scenarios and being ready to showcase your problem-solving skills with real-world examples.
✨Tip Number 3
Don’t forget to tailor your approach! When you’re applying through our website, make sure to highlight your experience with Tableau, Spark, and AI tools in your conversations. We want to see how your unique skills can contribute to our innovative team.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in showing your enthusiasm for the role. We love candidates who are proactive and genuinely interested in joining our team at CJ Affiliate.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with analytics, AI tools, and any relevant projects that showcase your skills in e-commerce and digital advertising. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background aligns with our needs at CJ Affiliate. Don’t forget to mention specific experiences that demonstrate your problem-solving skills and teamwork.
Showcase Your Technical Skills:Since this role involves working with tools like Tableau, Spark, and AI coding agents, make sure to highlight your proficiency in these areas. We love seeing examples of how you've used these technologies to drive results in past roles.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at Publicis Groupe UK
✨Know Your Data Tools Inside Out
Make sure you’re well-versed in Tableau, Spark, and Databricks. Be ready to discuss specific projects where you've used these tools to solve complex problems or improve workflow efficiency. Highlight any experience with AI coding agents as well!
✨Showcase Your Analytical Skills
Prepare to talk about your analytical approach to e-commerce and digital advertising data. Bring examples of how you've conducted performance analysis or incrementality-focused requests, and be ready to explain your thought process clearly.
✨Demonstrate Team Collaboration
Since this role involves working with multiple stakeholders, think of examples that showcase your ability to collaborate effectively. Discuss how you’ve managed team bandwidth and prioritised tasks in a fast-paced environment.
✨Communicate Like a Pro
Practice translating technical concepts into business-friendly insights. You’ll need to demonstrate strong communication skills, so prepare to explain complex data findings in a way that’s easy for non-technical stakeholders to understand.
