At a Glance
- Tasks: Lead a team of data scientists to innovate AI in marketing technology.
- Company: Acxiom, a leader in customer intelligence and data-driven solutions.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Other info: Dynamic role with a focus on collaboration and technical excellence.
- Why this job: Shape the future of agentic AI and make a real impact in marketing.
- Qualifications: 8+ years in ML/AI with leadership experience; fluent in Python.
The predicted salary is between 43200 - 72000 £ per year.
We are seeking a skilled individual to lead our Data Science function within Planning Agent, our AI-powered advertising planning platform used daily by IPG agency teams. This role will shape the future of agentic AI in marketing technology, driving innovation in how planners interact with intelligent systems across optimization, allocation, and planning workflows.
While the product is moving towards agentic, our agents remain grounded in machine learning and complex mathematical models. Success in this role depends on bridging the best of both worlds: machine learning models that provide structure and accuracy, and agentic systems that draw on unstructured inputs such as media briefs and contextual data. As the leader of our Data Science organization, you will oversee a team of 10+ senior data scientists distributed across Europe, guiding them in the design, implementation, and productizing of multi-agent workflows. While grounded in technical leadership, this role blends strategy and hands-on expertise: setting the data science roadmap, ensuring delivery at scale to build reliable, production-ready agents.
You’ll serve as both a coach and an architect of the team, shaping best practices for data science in agentic systems, while partnering closely with Engineering and Product.
- Lead and manage a distributed team of data scientists embedded in cross-functional squads across the Planning organization.
- Define and communicate the long-term Data Science roadmap for agentic AI within Planning.
- Drive the design and deployment of multi-agent workflows using orchestration frameworks such as LangGraph, ensuring scalability, reliability, and measurable business impact.
- Partner with Product, Engineering, and stakeholders to align agentic AI capabilities with planner workflows and business objectives.
- Mentor and grow the Data Science team, fostering technical excellence, collaboration, and an iterative, prototype-driven culture.
8+ years of experience designing and deploying applied ML or AI systems into production, with at least 3+ years leading data science teams.
- Fluent in Python and a strong interest in general software engineering principles.
- You have worked with common python frameworks (Numpy, Pandas).
- Demonstrated expertise with agentic AI systems, including orchestration frameworks (LangGraph preferred, LangChain or similar also considered).
- Strong foundation in classical machine learning and applied modeling techniques, including regression, classification, clustering, and practical experience with models used in econometrics or marketing measurement.
- Experience with agile development methodologies, such as Scrum or Kanban.
- Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies.
- Solid understanding of system design principles, scalability, and performance optimization.
Acxiom is a customer intelligence company that provides data-driven solutions to enable the world’s best marketers to better understand their customers to create better experiences and business growth. A leader in customer data management, identity, and the ethical use of data for more than 50 years, Acxiom now helps thousands of clients and partners around the globe work together to create millions of better customer experiences, every day.
Science Senior Leader in London employer: Acxiom UK
Acxiom is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within the rapidly evolving field of AI-powered marketing technology. With a strong emphasis on employee growth, you will have the opportunity to mentor and lead a talented team of data scientists while shaping the future of agentic AI. Located in a vibrant environment, Acxiom provides access to cutting-edge resources and a supportive atmosphere that encourages continuous learning and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Science Senior Leader in London
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We think you need these skills to ace Science Senior Leader in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Acxiom UK, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Acxiom UK. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Acxiom UK
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Acxiom UK!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.