Senior Data Scientist

Hybrid (Shrewsbury, West Midlands, United Kingdom) Croud SHREWSBURY, UK (Hybrid Working - 3 days in the office per week)

A benchmarked salary between £65,000 to £75,000. Your salary level is determined by skills and experience within our progression framework.

COMPANY OVERVIEW

Croud is an independent global media, creative and data agency that helps businesses unlock growth through a Return on Intelligence. Our unique business model brings together in-house expertise and a global network of Intelligent Creative Specialists, enabling us to deliver smarter, more effective solutions for our clients in an increasingly complex and fast-moving marketing landscape.

We work with some of the world's leading brands to drive sustainable growth, combining specialist expertise, technology and intelligence to deliver better business outcomes.

Our people and culture are central to how we operate. We're proud to have been named a Sunday Times Best Place to Work for the second year running, as well as Performance Marketing Employer of the Year by PMW.

At Croud, we believe in unlocking potential - elevating our people, our clients and our communities through the power of intelligence, creativity and collaboration.

Our culture is strategically driven and inspired by a shared long-term vision. It is collaborative and connected, with a focus on continuous learning and mutual support.

We are energised by future thinking, driving innovation to achieve better outcomes. We are instinctively generous, actively including and empowering our people. Above all, we are purpose-driven, committed to positively impacting our people, the planet, and our global communities.

ROLE OVERVIEW

Croud's Global Analytics Organisation is central to the growth of our business and the success of your clients, as a key differentiator; delivering industry-leading, high-value analytics solutions and services that create measurable business impact for our clients.

As a team with various different capabilities, Global Analytics services around 50 brands including many major international brands such as Coach, Ford, Jimmy Choo and Nespresso. As a Senior Data Scientist, this role will have the opportunity to work with our clients on leading edge analytics methods technologies, increasingly shaped by AI and driving predictive and agentic marketing solutions across all digital channels. The role also includes a significant input into product development, with support for iterating on analytical methods using tools including Claude Code.

In fulfilling the responsibilities outlined below, the role will deliver for our clients, work with other data scientists and engineers both at Croud and in client and partner agencies, and consult with our internal cross departmental service teams.

RESPONSIBILITIES

The Senior Data Scientist will complement our team of analysts and engineers bringing increased knowledge and expertise with data science methodologies,working systematically to improve supervised machine learning performance and work directly with clients to ensure high business impact from our data science solutions.

At Croud we run a number of cloud hosted modeling services which apply predictive methods to client data about their customer behavior particularly in relation to marketing, website interactions and online conversions. We primarily use Python, classical ML techniques, and rapid iteration leveraging AI. Our methods require custom adaptations in terms of methods, features, optimization methods, and ML algorithm selection, as well as robust training and evaluation.

You will help apply and improve the approaches we have developed, as well as developing new approaches where required, working collaboratively with the team. Additionally, you will enhance the overall data science analysis and modeling process. You will engage with data scientists and analysts at our client organizations, discussing optimal approaches to challenges, demonstrating expertise, and working to improve outcomes for all parties.

This is a great opportunity to work directly alongside world-class experts in a growing data science practice in a leading agency. You will develop your data science expertise and work on a variety of genuinely interesting client projects.

Key responsibilities include, but are not limited to:

• Manage data science and ML projects so that technical goals are met within a reasonable agreed timeframe.
• Communicate clearly about your work with clients and to help other team members understand what you are doing and why.
• Produce explanatory insights for non-technical users through visualizations, metrics and tabulations, in support of communication and collaboration.
• Interface with our clients to ensure we get the data inputs we need and they fully understand how to apply our services.
• Explore and model large data sets using Python, SQL and related tools.
• Leverage AI tools including Claude Code, to develop and enhance Croud solutions.
• Take a leading role on tasks such as data exploration, model estimation and validation.
• Write clean, efficient, robust and well commented code to produce high quality data science procedures.
• Engage in depth discussions with both technical and commercial teams about the data science aspects of the projects you are working on.
• Work with data engineers to ensure your algorithmic work can be scaled.
• Understand, apply and communicate the wider Croud Analytics team's work and methodologies to both clients and internal stakeholders.
• Spend around 20% of your time on 'pure innovation' in support of product development and agentic AI goals in the analytics, measurement, forecasting and activation space.

Proven aptitude and ability is required in these areas.

PERSON SPECIFICATION

You are someone who is both confident with data science and data analysis and also with communicating complex ideas and topics. You would prefer to work in a quickly growing company where you are directly engaged with client companies and can learn and develop fast. You are prepared to work hard on stimulating problems.

You have natural mathematical and analytical skills, good judgment, attention to detail and a passion for finding solutions. You have knowledge and training in statistical methods and in supervised machine learning. You have a proven aptitude in working with data, and a desire to further develop your career in data science. You have already experimented with and successfully applied AI and you are excited about the opportunities it presents to innovate rapidly in this space.

You bring experience working in a professional role or project in applied machine learning. You can explain data science topics in written and verbal form, including to a group if necessary. You bring a positive attitude to your work, have the curiosity to explore new ideas, and respond well to feedback.

Skills required

• Master's degree or PhD, or relevant experience in a field emphasizing quantitative disciplines, with coursework in machine learning (or alternatively, a quantitative advanced degree complemented by extensive training in data science/ML).
• Proven experience in applied machine learning through a prior full time role.
• Knowledge and experience of Python, associated ML libraries and SQL.
• Experience of using LLMs to help systematically write and review safe and stable code.
• Strong statistical knowledge.
• Ability to communicate the results of data analysis and modeling.
• High level of proficiency in English writing and speaking.
• Strong client services skills