From Data to Decisions
Applied Data Science & AI Fellowship
A selective, project-driven fellowship for aspiring and early-career data and AI professionals seeking real-world UK experience, not just training.
Cohort-Based Learning
Small, supervised cohorts focused on collaboration, accountability, and quality feedback.
Supervised Project Delivery
Work on genuine data and AI projects connected to UK organisations — not simulated coursework.
Industry-Led Training
Training delivered by UK-trained practitioners, with guest workshops from global professionals.
The Fellowship at a glance
The Applied Data Science & AI Fellowship is designed for individuals who want to move beyond theory and develop practical, decision-focused data and AI skills.
Rather than simulated exercises or isolated coursework, fellows work through real business problems using professional tools, workflows, and delivery standards aligned with industry expectations.
This fellowship focuses on applied learning, supervised delivery, and portfolio-ready outcomes that reflect how data science and AI operate in real organisations.
This is for you if…
- You can commit consistently for the duration
- You want real project delivery, not just lesson
- You want portfolio-ready outputs and documentation
- You’re ready to work in professional workflows
This is not for you if…
- You only want theory or a quick certificate
- You’re not ready for supervised delivery and deadlines
- You can’t commit time weekly
Supervised Technical Training
4 Weeks UK Work Experience
CV Writing & Optimisation
Job Interview Preparation
What You Will Benefit
Application to the Fellowship
Entry into the fellowship is application-based, and this ensures:
Note: The Applied Data Science & AI Fellowship accepts only 10 fellows per cohort.
- A committed and motivated cohort
- High-quality peer learning
- Appropriate matching to project placements
- Genuine interest in applied data and AI
- Willingness to learn and deliver
- Ability to commit for the duration of the fellowship
Duration
12 weeks Training programme
Location
Zoom(Virtual sessions)
Date
12 weeks Training programme
Industry Tools & Workflows
Fellows will train and deliver projects using tools aligned with the professional industry environment, from data manipulation and modelling to version control and structured project management, every workflow mirrors real-world data and AI delivery standards.
Participants do not simply learn tools, they apply them within supervised projects that demand clarity, documentation, collaboration, and accountability.
Project Placements (Core to the Fellowship)
All fellows are onboarded into the TATTEL Volunteer Programme and assigned to supervised data and AI projects linked to UK-based organisations.
Project placements are designed to expose you to real decision problems, professional workflows, and delivery expectations that reflect how work is done in industry.
- Exposure to genuine business and decision problems
- Professional workflows, tooling, and documentation standards
- Tangible outputs suitable for portfolios and interviews
- Clear supervision, feedback cycles, and delivery accountability
Our Facilitators
Meet With our Expert Trainers
Ayodeji Akiwowo
Data Scientist
Olumide Odetunde
Data Scientist
Ayodeji Akiwowo
Data and AI Consultant
Frequently Asked Questions
Is this fellowship theoretical or practical?
The fellowship is entirely applied and delivery-focused. Fellows work on supervised data and AI projects linked to UK-based organisations, producing portfolio-ready outputs aligned with industry standards. This is real project experience, not simulated coursework.
Do I need prior professional experience to apply?
No. Applicants are not required to be experts. However, they must demonstrate genuine interest in applied data science and AI, a willingness to learn within structured supervision, and the ability to commit for the full duration of the fellowship.
What kind of projects will I work on?
Fellows work on applied, business-driven data science and AI projects, not toy datasets or purely academic exercises. These projects are structured to reflect:
- Real business constraints
- Professional workflows and documentation standards
- Clear deliverables and stakeholder communication
All projects are designed to ensure you graduate with portfolio-ready outputs that demonstrate not just technical ability, but your capacity to solve real decision-making problems.
What tools and technologies will be used?
The fellowship uses industry-aligned tools including Python, Pandas, NumPy, Scikit-learn, Excel, Git, GitHub, Jupyter Notebooks, and structured project management workflows. All delivery mirrors professional environments.
Why is the cohort limited to 10 fellows?
Each cohort is limited 10 participants to ensure personalised mentoring, close supervision, and high-quality project delivery. Applications close once the cohort is full.
Will I get to work with a UK-based company?
Yes — that is a core part of the fellowship.
All fellows are onboarded into the TATTEL Volunteer Programme, where projects are aligned with UK-based organisations. These are structured, supervised unpaid volunteer placements designed to give you exposure to:
- Real business problems and data scenarios
- UK professional delivery standards
- Collaborative workflows (Git, documentation, structured reviews)
These placements are focused on experience-building and professional development, not employment.
Upon successful completion, you will have demonstrable project experience that you can confidently include on your CV and discuss in interviews.
- The aim is not just training — it is credible, UK-relevant experience.
- Professional-style reporting and stakeholder communication