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- Tasks: Design and deploy predictive models to shape future intelligence from data.
- Company: Foresight Factory, a leader in data science and strategic insight.
- Benefits: Competitive salary, performance bonuses, flexible working, and wellness support.
- Why this job: Join a creative team influencing global decisions with cutting-edge data science.
- Qualifications: 5+ years in data science, strong Python and SQL skills, and a STEM degree.
- Other info: Enjoy a four-day work week and a vibrant, dog-friendly office in Shoreditch.
The predicted salary is between 36000 - 60000 £ per year.
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.
As 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 datasets
- Identifying weak signals, inflection points, and pattern shifts in consumer and industry data
- Partnering with consultants, developers, and analysts to shape client-facing intelligence products
- Elevating internal data science standards, tooling, and modelling approaches
- Translating complex modelling outputs into strategic narratives that non-technical stakeholders can act on
Required experience:
- 5+ years operating in a senior or lead data science capacity, with clear ownership of models and outcomes
- Degree-level STEM qualification (or equivalent professional experience)
- Demonstrated commercial impact through applied statistics and predictive modelling
- Experience with forecasting and probabilistic approaches, including ML techniques (e.g. SARIMA, Monte Carlo, XGBoost, ANN)
- High proficiency in Python and SQL
- Comfortable operating autonomously, making judgement calls, and navigating ambiguity
Nice to have:
- Experience within a consulting or advisory environment
- Familiarity with market research and consumer insight datasets
- Experience designing production-grade data visualisations
- Working 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 experience
- Performance-related bonus
- Workplace pension with 3% company contribution
- 2 x base salary life insurance
- Vitality healthcare insurance
- 28 days’ holiday plus public holidays
- Ability to swap existing public holidays for celebrations or holidays of other religions
- Continuous professional development linked to company objectives and personal goals
- Flexible work patterns and hybrid working
- Ability to work from anywhere in the world – 2 weeks per annum
- Family friendly and compassionate leave policies
- Great design-led (and dog-friendly) office space in the heart of Shoreditch
- Free membership to on-site gym through Manor London
- Season ticket loans, cycle to work and personal tech schemes
- Wellbeing support program
- End of quarter company celebrations and frequent team outings
Applied Senior Data Scientist (Forecasting and Opportunity) employer: Foresight Factory
Contact Detail:
Foresight Factory Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Senior Data Scientist (Forecasting and Opportunity)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Foresight Factory. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your forecasting models and data visualisations. When you get the chance to chat with hiring managers, let your work speak for itself.
✨Tip Number 3
Be ready to discuss your thought process. During interviews, they’ll want to know how you approach problem-solving. Practice explaining your methods clearly, especially when it comes to complex modelling outputs.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Foresight Factory team.
We think you need these skills to ace Applied Senior Data Scientist (Forecasting and Opportunity)
Some tips for your application 🫡
Show Your Data Science Skills: Make sure to highlight your experience with forecasting and predictive modelling in your application. We want to see how you've used techniques like SARIMA or XGBoost to drive commercial impact, so don’t hold back!
Tailor Your Narrative: When you write your application, connect your past experiences to the role. Explain how your work has shaped strategic decisions and influenced outcomes, just like we do at Foresight Factory. This will help us see you as a perfect fit!
Be Clear and Concise: We appreciate clarity! Use straightforward language to explain complex concepts. Remember, you’ll need to translate technical outputs into narratives for non-technical stakeholders, so show us you can do that in your application.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Foresight Factory
✨Know Your Models Inside Out
Make sure you can discuss your experience with forecasting and probabilistic approaches in detail. Be ready to explain how you've used techniques like SARIMA or XGBoost in past projects, and be prepared to share specific outcomes that demonstrate your commercial impact.
✨Translate Data into Stories
Since you'll need to communicate complex modelling outputs to non-technical stakeholders, practice translating your technical work into strategic narratives. Think of examples where your insights led to actionable decisions and rehearse how you'd present these stories in a clear and engaging way.
✨Showcase Your Collaboration Skills
This role involves partnering with various teams, so highlight your experience working with consultants, developers, and analysts. Prepare examples of how you've successfully collaborated on projects, especially those that required a blend of technical and strategic input.
✨Be Ready for Technical Questions
Expect to dive deep into your technical skills during the interview. Brush up on Python and SQL, and be prepared to solve problems on the spot. Practising coding challenges or discussing your approach to data visualisation can help you feel more confident.