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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: Influence global decisions with your data expertise in a creative, supportive environment.
- Qualifications: 5+ years in data science, strong Python and SQL skills, and a STEM degree.
- Other info: Join a diverse team with great career growth and a people-first culture.
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) in City of London 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) in City of London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Foresight Factory on LinkedIn. A friendly chat can give us insider info about the company culture and what they really value in candidates.
✨Tip Number 2
Prepare for the interview by brushing up on your forecasting models and predictive analytics techniques. We want to show off our skills, so be ready to discuss how you've used ML techniques like SARIMA or XGBoost in real-world scenarios.
✨Tip Number 3
Don’t just talk numbers; tell a story! When discussing your past projects, focus on how your data insights led to strategic decisions. We need to demonstrate that we can translate complex data into actionable narratives for non-technical stakeholders.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re genuinely interested in being part of our team at Foresight Factory.
We think you need these skills to ace Applied Senior Data Scientist (Forecasting and Opportunity) in City of London
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.
Tailor Your Narrative: When writing your application, connect your past experiences to the role. We love seeing how you can translate complex data insights into strategic narratives that non-technical folks can understand.
Be Authentic: Let your personality shine through! We value creativity and responsibility, so don’t be afraid to show us who you are and how you think about data science.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
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 applied techniques like SARIMA or XGBoost in past projects, and the impact they had on decision-making.
✨Translate Data into Stories
Practice explaining complex modelling outputs in simple terms. Think about how you can turn technical jargon into strategic narratives that non-technical stakeholders can easily understand and act upon.
✨Showcase Your Collaboration Skills
Prepare examples of how you've partnered with consultants, developers, and analysts in previous roles. Highlight your ability to elevate internal data science standards and how you’ve contributed to client-facing intelligence products.
✨Be Ready for Ambiguity
Since this role involves navigating uncertainty, think of instances where you've made judgement calls in ambiguous situations. Show that you're comfortable operating autonomously and can thrive in a dynamic environment.