Senior Data Scientist

About Us: We use data science and AI to help retailers make profitable pricing, marketing and retail media decisions. Put simply, we help retailers sell the right products, to the right people, for the right price. We employ a mix of tech and people to achieve great results for our clients. We work with a growing list of household names including; Morrisons, Costa Coffee, Hotel Chocolat , Card Factory, Toolstation , Beaverbrooks and JD Sports. Check our website https://hyperfinity.ai/ Find out why people like to work for HyperFinity here: Link The Person: 3+ years’experience working within data science; Retail/FMCGdata preferable. Hands-on experience in extracting and manipulating large data sets in cloud data platforms. A self-starter, happy to learn new skills in a self-directed manner. Able to quickly adapt to changing requirements as our business grows and expands. Keen to work in a start-up environment, and energised by the prospect that the role will be much more varied than in a corporate environment. Relevant Degree or equivalent practical experience in a quantitative or computational discipline, with strong foundations in statistics and programming. The Role: This role is initially aligned to a client operating in BigQuery, with the potential to support other client environments over time depending on delivery needs. Client-based work; developing, testing and deploying data science models within our client’s data environment to improve the effectiveness of their Customer Loyalty Program. Developing prototypes and proof of concepts with rigorous testing approaches to inform further product developments. Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress. Working in an agile environment. Help provide tactical and strategic support to unlock value for our client through data science. Ensure good attention to detail with good QC / reconciliation processes in place. Collaborate and support immediate team members where required including on client-related topics. Skills and Experience You will combine strong technical foundations with pragmatic, stakeholder-focused delivery in varied client environments. Technical competencies Strong analytical and problem-framing skills; able to translate ambiguous business questions into measurable hypotheses and robust analyses/models (necessity). Excellent Python and SQL coding skills (necessity). Experience working with common Python data/ML libraries (e.g., scikit-learn, pandas, and related tooling) (necessity). Experience using version control (e.g., Git) to manage and collaborate on code (necessity). Experience working with Big Data and interrogating databases and cloud data platforms (e.g., BigQuery , Snowflake , Databricks ) (desirable) . Experience implementing ML in cloud environments (designing scalable data/model workflows within client constraints) (desirable). Professional competencies Effective communication and listening skills to understand the requirements of the business and present clear recommendations to senior stakeholders (necessity). Drive and the resilience to try new ideas if the first approach doesn't work; comfortable working with minimal supervision and maintaining momentum independently (necessity). Planning, time management and organisational skills (necessity). Strong teamwork and collaboration skills; a proactive approach to sharing ideas, aligning with colleagues, and finding solutions (necessity). High attention to detail in analysis and data work (e.g.,validating assumptions, checking data quality, and producing reproducible outputs) (necessity). Reasonable Adjustments Statement We want to support you if you need adjustments at any stage of the application process. To request an adjustment at any stage please let us know some suggestions for adjustments which might help you and / or examples of previous adjustments you’ve found helpful and we’ll do our best to accommodate. The more detail you can provide us, the more we can help. What's in it for you? 1.Annual Leave 26 days + bank holidays 2.Extra Tenure for Service – an extra day annual leave for every year you are with HyperFinity, up to a maximum of 30 days leave per year. 3.Flexible Learning & Development - £300 per year 4.Work from Anywhere 2 weeks per year 5.Annual Bonus* subject to company performance 6. Quarterly Company socials and further team specific events 7. Private Medical Insurance Note: Casual dress in the office is welcome and up to 3 days working remotely Diversity Statement HyperFinity passionate about building an inclusive and diverse workplace where everyone is welcome and supported. We understand that there are barriers in the tech industry for people from underrepresented groups based on ethnicity, gender identity, neurodiversity, disability, sexuality, and socio-economic status. You might not feel like you check all the boxes on this job advert, especially if you’ve experienced exclusion in the past. But, if you think we’re the right fit for you please apply, we’d love to hear about the experiences you can bring to the role!