Applied Senior Data Scientist (Forecasting and Opportunity Analytics)London (Hybrid), 4 days a week (Flexible)Foresight Factory helps the world’s most ambitious organisations see further ahead. Powered by our proprietary intelligence platform, Collision, we transform fragmented data into foresight that drives decisive action. Our work sits at the intersection of data science, strategic insight, and commercial impact - deep, smart, and unapologetically future-focused.Role OverviewAs an Applied Senior Data Scientist, you will sit at the heart of how Foresight Factory turns raw data into future-shaping intelligence.You will design, stress-test, and evolve predictive systems that identify early signals of change, anticipate emerging consumer behaviours, and reveal new growth opportunities. Your work will directly influence how global clients decide when to act, where to invest, and how to stay ahead.You’ll operate as both a hands-on technical leader and a strategic partner - modelling forecasting approaches across complex datasets, translating noise into clarity, and ensuring our intelligence products remain genuinely future-ready.What you’ll actually be doing Designing and deploying forecasting and simulation models across structured and unstructured datasetsIdentifying weak signals, inflection points, and pattern shifts in consumer and industry dataPartnering with consultants, developers, and analysts to shape client-facing intelligence productsElevating internal data science standards, tooling, and modelling approachesTranslating complex modelling outputs into strategic narratives that non-technical stakeholders can act onRequired experience 5+ years operating in a senior or lead data science capacity, with clear ownership of models and outcomesDegree-level STEM qualification (or equivalent professional experience)Demonstrated commercial impact through applied statistics and predictive modellingExperience with forecasting and probabilistic approaches, including ML techniques (e.g. SARIMA, Monte Carlo, XGBoost, ANN)High proficiency in Python and SQLComfortable operating autonomously, making judgement calls, and navigating ambiguityNice to have Experience within a consulting or advisory environmentFamiliarity with market research and consumer insight datasetsExperience designing production-grade data visualisationsWorking knowledge of cloud and collaboration tooling (AWS/Azure, GitHub)Why this role?You’ll be joining a diverse, intellectually curious team that values rigour, creativity, and responsibility in equal measure. This role offers exposure to how data science directly shapes strategic decisions, with the freedom to work creatively in influencing methods, models, and the future direction of our intelligence platform.Flexible working patterns, a four-day week (by default*), and a genuinely people-first culture mean you can do your best thinking without burning out. *We anticipate this being a four-day week role, but we’re open to discussing three or five days depending on the candidate. Salary will be pro-rated to reflect agreed working hours.What you’ll get in return Competitive Salary commensurate with experiencePerformance-related bonusWorkplace pension with 3% company contribution2 x base salary life insuranceVitality healthcare insurance28 days’ holiday plus public holidaysAbility to swap existing public holidays for celebrations or holidays of other religionsContinuous professional development linked to company objectives and personal goalsFlexible work patterns and hybrid workingAbility to work from anywhere in the world – 2 weeks per annumFamily friendly and compassionate leave policiesGreat design-led (and dog-friendly) office space in the heart of ShoreditchFree membership to on-site gym through Manor LondonSeason ticket loans, cycle to work and personal tech schemesWellbeing support programEnd of quarter company celebrations and frequent team outings