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- Tasks: Lead data science projects, designing predictive models and uncovering consumer trends.
- Company: Foresight Factory, a cutting-edge consumer prediction consultancy.
- Benefits: Competitive salary, performance bonuses, flexible working, and health insurance.
- Why this job: Make a real impact by turning data into strategic insights for clients.
- Qualifications: 5+ years in data science, strong Python and SQL skills, and experience with forecasting techniques.
- Other info: Join a diverse team in a vibrant Shoreditch office with great perks and career growth.
The predicted salary is between 36000 - 60000 £ per year.
Foresight Factory is a consumer prediction consultancy which helps our clients see further. Powered by our platform ‘Collision’, we find the right data and uncover trends that give our clients strategically compelling answers. What we do is deep, smart, and very commercial.
As Lead Data Scientist, you will help us build exceptional data processes that turn data signals into essential decision‑making intelligence. You will be responsible for designing, testing and executing predictive models across datasets, helping our clients understand trends in consumer and industry data. You’ll be uncovering signals of change, predicting future behaviours, potential growth opportunities and helping our customers decide when to act on them.
You will be working in a cross‑functional team, alongside data analysts, developers, consultants and non‑technical stakeholders, improving and creating internal and external facing data products with your expertise and data‑first approach. The role has core responsibilities in data preparation and modelling, but may also involve wider aspects of data processing – including data collection, visualisation and developing tools/processes for a production environment.
We anticipate this being a four‑day‑a‑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.
Home to a diverse team of unique talents, our people are confident, embrace responsibility, and enjoy working collaboratively to understand what’s important to our clients – always digging deeper to uncover new insights.
Required Skills/Experience- 5+ years experience in a Senior Data Science role
- Proven commercial experience applying statistical techniques to solve complex business problems, using a blend of large structured and unstructured datasets
- Experience applying and interpreting various forecasting techniques, including ML approaches (e.g. SARIMA, Monte Carlo, xgboost, ANN)
- Highly proficient in Python and SQL
- Proven track record of taking initiative and working independently
- A flexible attitude to solving problems
- Previous experience within a consulting role or consulting industry
- Experience with Market Research datasets
- Experience designing and building data visualisation for production environments
- AWS/Azure
- Github basic competency
- Competitive Salary commensurate with experience
- Performance‑related bonus
- Workplace pension with 3% company contribution
- 2 × base salary life insurance
- Vitality healthcare insurance
- 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 – 1–2× Team Day in office per week
- 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
- End of quarter company celebrations and frequent team outings
Seniority level: Mid‑Senior level
Employment type: Other
Job function: Engineering and Information Technology
Industries: Research Services and Business Consulting and Services
Applied Lead Data Scientist (Innovation Forecasting & Opportunity Analytics) employer: Foresight Factory
Contact Detail:
Foresight Factory Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Lead Data Scientist (Innovation Forecasting & Opportunity Analytics)
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in data science. Building relationships can lead to job opportunities that aren’t even advertised.
✨Show Off Your Skills
Create a portfolio showcasing your projects and predictive models. Use platforms like GitHub to share your code and visualisations. This not only demonstrates your expertise but also gives potential employers a taste of what you can do!
✨Ace the Interview
Prepare for interviews by practising common data science questions and case studies. Be ready to discuss your past experiences and how you've tackled complex problems. Remember, it’s not just about the technical skills; show your passion for data and innovation!
✨Apply Through Our Website
Don’t forget to apply directly through our website! It shows your genuine interest in the role and helps us keep track of your application. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Applied Lead Data Scientist (Innovation Forecasting & Opportunity Analytics)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Applied Lead Data Scientist. Highlight your experience with predictive models and data processes, and don’t forget to mention any relevant statistical techniques you've used. We want to see how your skills align with what we do!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data science and how you can contribute to our team. Share specific examples of past projects that demonstrate your ability to uncover trends and insights.
Show Off Your Technical Skills: We love seeing your technical prowess! Make sure to include your proficiency in Python and SQL, as well as any experience with forecasting techniques. If you’ve worked with AWS or Azure, give us the lowdown on that too!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Foresight Factory
✨Know Your Data Science Techniques
Make sure you brush up on your statistical techniques and machine learning approaches, especially those mentioned in the job description like SARIMA and xgboost. Be ready to discuss how you've applied these methods in real-world scenarios to solve complex business problems.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your initiative and flexibility in tackling data challenges. Think of specific instances where you took the lead on a project or found innovative solutions to unexpected issues, as this will demonstrate your ability to work independently and collaboratively.
✨Familiarise Yourself with Their Tools
Since the role involves data preparation and visualisation, it’s a good idea to get comfortable with Python, SQL, and any relevant data visualisation tools. If you have experience with AWS or Azure, be sure to mention it, as it could give you an edge.
✨Understand Their Business Context
Research Foresight Factory and their platform 'Collision'. Understand their approach to consumer prediction and how they help clients uncover trends. This knowledge will allow you to tailor your responses and show that you're genuinely interested in their mission and how you can contribute.