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The Young Data Scientist Weekend

The Young Data Scientist Weekend

Ages 15-18 Live Online OR In Person

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The Young Data Scientist Weekend gives students aged 15-18 an immersive experience of data science, including real-life applications of AI, machine learning & big data. Across 2 days you will take part in a series of activities, seminars, simulations and Q&A sessions, all led by a group of experienced data scientists. You can choose to attend the programme either in person or ‘Live Online’.

Attendance will give you a competitive edge in the race for the best universities, colleges and jobs in the field of data science, and a 'super-curricular' experience to add to your university or college applications.


An Immersive Experience of Data Science:

  • Data scientists from world-leading companies will coach you through live, interactive experiences including:

  • Delivering data-backed solutions to salvage a business on the brink of collapse

  • Investigating the ‘black box’ problem in artificial intelligence and machine learning

  • Helping a retailer adapt their business strategy to mirror their customer profile

  • Characterising fraudulent transactions using big data to crack down on scams

Career Coaching for Future Data Science:

  • Training on how to fulfil your ambitions of becoming a top data scientist

  • An action plan of how to break into the data science industry, starting now

  • Coaching by experts on A-level/IB/college class choices; university/college and degree choices; extra-curricular activities; work experience; application and interview techniques

An Audience with Top Data Scientists:

  • Q&A time with a selection of leading data scientists from a range of disciplines

  • Unlimited lifetime access to our guidance and expertise. Students can contact us for further advice at any time

Boost Your University/College Application and CV/Resumé:

  • Attendance demonstrates you’ve gained key skills such as critical & innovative thinking, problem-solving, communication and the ability to prepare, analyse and model data

  • Complete the online assessment after the programme and receive a personalised certificate to include in your applications




11.00amIntroduction: The Data Revolution

- Why ‘big data’ is worth its weight in gold
- Data science & AI: two pieces of the same puzzle
- One career, many fields: what you need to know to carve out a niche

11.30amData Science in Research

- Explore the use of data science in ambitious predictive climate models
- Analyse current climate projections and the wide range of emissions scenarios
- Have your say: will data science be key in saving our planet from human destruction?

12.30pmData Science in Finance

- Explore how data science in finance is re-invigorating the industry
- Evaluate the role of data in the prediction of future markets
- Crack down on scams using data science to predict credit card fraud


2.30pmData Science in the Commercial World

- Discover how data science has revolutionised marketing and e-commerce
- Explore how data can be used to identify popular product styles and predict their trends
- Help a retailer adapt their inventory to meet the demands of their customers

3:30pmData Science in Healthcare

- The future of data science: machine learning & automation
- Explore the rise of ‘Medtech’ software in supporting clinical decision-making
- Discover the downsides to widespread AI use in healthcare: the ‘black box’ problem

4:15pmThe Ethics of Data Science

Discuss current and future ethical and equality, diversity & inclusion concerns in data science, including:
- Are minority groups underrepresented by big data collection?
- Is machine learning a power for good or a means of reinforcing stereotypes?
- Is data-driven targeted marketing overly intrusive?

5pmPanel Q&A

- Live panel Q&A with professional data scientists from a variety of backgrounds
- Get your key questions answered
- Receive valuable advice


*exact programme subject to change without notice.


11.00amThe Data Science Workflow

- Data science: the hottest industry of the 21st century
- Unlocking the data science mindset
- Throughout the rest of the day, you will embark on a data-driven journey to salvage a business from the brink of collapse
- Immerse yourself in the data scientist’s workflow as you solve a real-world issue

11.30amRoadmap to Recovery Part 1: The Data Scientist’s Toolkit

- Explore the most popular programming language in data science: Python
- Familiarise yourself with key data science libraries such as Pandas and Matplotlib
- Discover how data scientists work together to perfect their algorithms

12.30amRoadmap to Recovery Part 2: Designing your study

- Meet your team and brief with your business CEO
- It’s all in the preparation: clean your unstructured data
- Time to explore: perform exploratory data analysis to formulate your hypotheses
- Structure your data science model to validate or void your hypotheses


2.15pmRoadmap to Recovery Part 3: Executing the Data Science Model

- Explore the fundamentals of data science modelling
- Use the model to create exciting and informative data visualisations
- Work to a strict deadline to deliver data-backed solutions

3.45pmRoadmap to Recovery Part 4: Pitch your Business Solutions

- Pitch your solution directly to the business CEO, on time and on budget
- Compete against other teams to propose the best recovery strategy
- Win a prize for the most innovative solutions
- Receive expert feedback from real-life data scientists

4.45pmCareer Coaching

- Interactive session dedicated to your journey to becoming a top data scientist
- Advice on GCSE/A-level/degree/university choices
- Excelling in the UCAS process
- Extra-curricular activity choices
- Work experience options
- Career path options for the future


*exact programme subject to change without notice.

Fees, Eligibility and Options

This programme is for students aged 15-18. No prior knowledge or experience is required. The programme involves a mixture of interactive simulations, exercises and Q&A sessions. You can choose to attend the programme either in-person or ‘Live Online’; the content is very similar for both

Programme Fee:

‘Live Online’: £165/student for both days.

In-Person: £165/student for one day (you can choose either day 1 or 2) OR £295/student for both days

There is no application process, and you can secure your place simply by clicking “Register Now”. We operate on a first-come first-served basis and programme places are limited.

Venues, Dates & Locations

London, UK


10th - 11th December 2022

University College London (UCL)



Register Now

Live Online


10th - 11th December 2022

11am - 5:30pm (UK time)

Register Now


10th - 11th December 2022

University College London (UCL)



Register Now


10th - 11th December 2022

11am - 5:30pm (UK time)

Register Now


As part of your booking, you will receive 12 months’ access to our state-of-the-art tech platform, AmbitionX. Here you will find all of your programme materials and complete post-programme assessments to gain coveted ‘experience points’ to demonstrate your levels of professional development. You will also be able to access any of InvestIN’s Live Online weekend and evening programmes through AmbitionX at no extra cost.

COVID-19 Group

If the in-person programme is cancelled because of Covid-19 then students will have two options: i) move to the next in-person date; ii) move to the ‘Live Online’ version of the programme you selected and be refunded the difference in price. (If you pay via credit because you postponed a previous booking then the credit note will be reissued to you in full). Any government guidance on Covid-related safeguarding (such as the wearing of masks and social distancing) will of course be adhered to. We have managed to successfully deliver in-person programmes during the Covid-19 pandemic, including during the summers of 2020 and 2021, with excellent feedback. We are therefore highly experienced in giving students a fantastic experience even with social distancing rules in place.


If you are trying to register and the registration box is not appearing it is likely because of firewall restrictions on your desktop device. You may wish to try on your mobile device instead. Alternatively, please email with details of the programme you want to register for. We will reserve your place immediately and send you a link to pay by card online.