Kickstart Your Dream Career in Tech or Change - No Experience, No Problem

La Fosse
London
3 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst Trainee - Comprehensive Accredited Online Training (Hiring Immediately)

Aspiring Data Analyst (Hiring Immediately)

Entry-Level Data Analyst Training Scheme (Hiring Immediately)

Entry Level Data Analyst Training Scheme (Hiring Immediately)

Data Analyst Trainee (Hiring Immediately)

Data Analyst Trainee (Hiring Immediately)

Ready to dive into the fast-paced world of technology and change? At La Fosse Academy, we’re here to help you launch a successful career in Data, AI, DevOps, Engineering, Solution Architecture, Business Analysis, PMO, and beyond—no prior experience needed, just your drive and ambition! 

We’ll equip you with the skills and real-world experience you need to thrive. With 9 weeks of intensive, expert-led training, followed by a 2-year paid placement with top employers, you’ll earn a competitive salary, gain hands-on experience, and build your future in roles like Data Analyst, AI Developer, Cloud Engineer, Platform Engineer, Software Developer, Business Analyst, and more. 

We’re not just teaching you tech skills; we’re creating a diverse, inclusive environment that opens doors for everyone to succeed. 

What’s In It For You? 

  • 9 Weeks of Intensive Training: Gain hands-on experience in Software Engineering, DevOps, Data, Change, and more, guided by industry experts – no prior experience required! Alongside technical skills, you'll develop the interpersonal and professional abilities needed to thrive in the tech industry. 
  • 2-Year Paid Placement: Work with leading employers, gaining hands-on experience and earning a starting salary of £30,000, plus bonuses! 
  • No Upfront Costs: Get started with zero financial barriers—pay nothing to join. 
  • Mentoring & Career Coaching: We’ll be there to guide you every step of the way, ensuring you're set up to succeed. 
  • Networking Opportunities: Connect with top tech companies, industry leaders, and a community of peers through exclusive events. 

Why La Fosse Academy? 

  • Equity in Tech: We’re committed to creating equal opportunities and increasing diversity in the tech sector. 
  • Multiple Career Paths: Kick-start your future! Roles in Data Analysis & Engineering, AI, DevOps & Cloud, Software Engineering, Business Analysis, Security, and more—where demand is skyrocketing. 
  • Competitive Salary: Start earning £30,000 and watch your salary grow as your career develops. 
  • Top-Tier Employers: Our grads land roles with leading brands like Kingfisher, Ocado, Money Corp, News and more. 
  • Unmatched Support: From career coaching to mental health resources, we ensure you're equipped to thrive throughout your journey. 

Why Now? Why You? 

The tech world is evolving at lightning speed, and the demand for skilled professionals has never been higher. At La Fosse Academy, we believe talent comes from all walks of life. That’s why we’ve designed a programme that breaks down barriers and gives you the tools to take control of your career. 

Requirements

 Who Are You? 

No specific experience is required to apply. We welcome individuals from all backgrounds—whether you’re a recent school/college leaver, have a degree in any field, or are making a career change. What matters most is your passion for starting a career in tech and your ability to pick up new tech skills independently. Be yourself and give it your all! 

Where will I be? 

The training programme is full-time, so expect to participate from 9 am - 5 pm, Monday to Friday.  Training will take place either in our London Victoria office or virtually, depending on the schedule and programme requirements. If you successfully secure a placement after the course, this will also be a full-time role based in London. 

Benefits

What’s the Package? 
During your placement, you'll receive a starting salary of £30,000, with a discretionary increase after one year and additional bonuses throughout your 2-year placement: 

  • £1000 when you start your placement 
  • £1500 at 18 months 
  • £2500 when you complete the two years 

But we believe a package isn’t just about the numbers—it’s about creating an environment where you can thrive. We’re here to support you every step of the way, enabling you to bring your best self to work and unlock your full potential. 

Equal Opportunity Employer 
We’re committed to fostering diversity in the tech industry. To support this, we ask for your demographic background at the application stage, so we can track our attraction strategies and ensure we have diverse representation. This data is anonymised and used solely for improving our diversity efforts. 

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.