Senior Data Scientist

• 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
• 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

Benefits

• Work from home opportunities
• Quarterly team offsites / Regular socials
• Full Paid Medical Insurance (including dental and vision)
• Gym Membership contributions (Classpass or NYHRC)
• Free home office chair
• Free fruit, breakfast cereals, snacks, soft drinks and tea & coffee
• Season Ticket loan
• Ride to Work scheme
• Share option scheme
• Sale commission
• Recruitment referrals bonus
• Agile Working Policy
• 20 days vacation a year + 10 public holidays
• Agile working policy
• Sales commission (if involved in a pitch)
• Rail card
• Equity in Croud US upon completion of 6 months
• Gym membership contributions
• 25 days holiday a year
• Free home office chair and screen
• Summer Fridays
• 401k plan
• Annual performance bonus
• Free fruit, breakfast cereals and tea & coffee
• Free Citibike membership
• Recruitment referrals bonus
• Summer Fridays
• Annual performance bonus
• Medical cash plan
• Life and income protection

• 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
• Strong client services skills, able to both explain complex concepts to clients and manager expectations on delivery and impact when necessary
• Knowledge and experience of Python, associated ML libraries and SQL
• Experience of using LLMs to help systematically write and review safe and stable code
• Proven experience in applied machine learning through a prior full time role
• Strong statistical knowledge
• 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)
• High level of proficiency in English writing and speaking
• Ability to communicate the results of data analysis and modeling
• Strong time management and organizational abilities, capable of prioritizing tasks effectively and working autonomously
• Experience with putting machine learning models into production in a cloud environment
• Knowledge and experience of marketing effectiveness measurement and marketing optimisation techniques
• Experience working senior stakeholders in an analytics context
• Experience in web analytics, marketing analytics and digital marketing