Data Science Data Science Senior Data Scientist (Python) (Remote) in London

LONDON, UK (Hybrid Working - 3 days in the office per week) A benchmarked salary between 75,000 to 85,000. COMPANY OVERVIEWCroud 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. 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. Above all, we are purpose-driven, committed to positively impacting our people, the planet, and our global communities. 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. 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. RESPONSIBILITIESThe 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. 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. 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. PERSON SPECIFICATIONYou are someone who is both confident with data science and data analysis and also with communicating complex ideas and topics. 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. Skills requiredMaster'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. Ability to communicate the results of data analysis and modeling. High level of proficiency in English writing and speaking. Good to haveExperience with putting machine learning models into production in a cloud environment. Experience in web analytics, marketing analytics and digital marketing. COMPANY BENEFITSCroud operates a hybrid working model with a minimum of 3 days a week based in our London office and the remaining days from home if you wish. We are committed to offering development opportunities alongside a support system of regular performance reviews. On completion of the three-month probation period, every employee is eligible for the benefits listed on our careers site which include: Sabbatical: Paid sabbatical at 7 years with an option to take it unpaid at 5 years25 days holiday a yearDiscretionary annual performance based incentiveSale commissionRecruitment referrals bonusHealth & Wellbeing contribution2 Recharge Days each holiday yearRide to Work schemeRailcardSeason Ticket loanHome office screenDaily office perks: Free fruit, breakfast cereals, snacks, and tea & coffeeWeekly treat: Enjoy a complimentary lunch on us every weekEnhanced Primary and Secondary family leave as well as extended Parental Leave and Shared Family LeaveLife insurance and income protectionMedical Cash PlanPensionCurated 3rd party learning platform as well as access to Croud Campus (our bespoke learning and development platform)Peer to peer recognition scheme 'bonusly'Team off-sites/regular socialsYear-round holiday partiesFlexible working optionsDay to make a differenceStandard hours are from 9.00am to 5.30pm, there's flexibility if agreed in advance with your line managers (it may also be necessary on occasions to work outside of these hours).Croud is an equal opportunity employer and does not discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. This means we build better brand outcomes, and unlock potential for our people, our clients and our communities. The ideal candidate will excel in and demonstrate the following: