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: Enjoy competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Be part of a dynamic team that values creativity and operational excellence.
- Why this job: Make an impact by leveraging AI tools and analytics to drive business success.
- Qualifications: 5+ years in analytics with strong skills in Tableau and large-scale data environments.
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.
Responsibilities
- 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.
Qualifications
- 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: UNAVAILABLE
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 fast-paced digital advertising environment, where your contributions directly impact our clients' success. We offer robust employee growth opportunities, including mentorship and training in cutting-edge AI tools, alongside a commitment to operational excellence and data-driven decision-making.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist in London
✨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
Show off your skills! Create a portfolio showcasing your best work with Tableau, Spark, or any AI tools you've used. We recommend sharing this on your personal website or GitHub – it’s a great way to demonstrate your expertise and make a lasting impression.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of e-commerce and digital advertising principles. We suggest practising common interview questions related to operational analytics and be ready to discuss how you’ve tackled real-world problems using data.
✨Tip Number 4
Apply through our website! It’s the easiest way to get your application noticed. We’re always on the lookout for talented individuals who can bring their analytical skills to our team, so don’t hesitate to hit that apply button!
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 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.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're the perfect fit for this role. Share specific examples of how you've led operational analytics or improved workflow efficiency in past positions.
Showcase Your Technical Skills:Don’t forget to mention your proficiency with Tableau, Spark, and any coding languages like Python or Scala. We want to see how you’ve used these tools to drive results in your previous roles.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at UNAVAILABLE
✨Know Your Data 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 AI Savvy
Since this role involves AI-enabled workflows, come prepared with examples of how you've utilised AI coding agents in your previous work. Discuss any specific improvements in productivity or efficiency that resulted from your efforts.
✨Master the Art of Communication
You’ll need to translate complex data concepts into business-friendly insights. Practice explaining your past projects in simple terms, focusing on the impact they had on stakeholders. This will demonstrate your strong communication skills.
✨Prepare for Scenario-Based Questions
Expect questions about managing Jira workflows and prioritising tasks. Think of specific scenarios where you’ve successfully handled multiple requests or guided a team through challenges. This will highlight your organisational and problem-solving skills.
