Sigma Labs - Graduate Technology Consultant Programme

Sigma Labs

London

1 year ago

Applications closed

We aim to place the individual at the centre of everything we do. We want to be an effective organisation that produces great outcomes rather than an efficient machine that churns through candidates, trainees and consultants. We take time to get to know each person, understanding their challenges, motivations and aspirations so that our support gives you the best chance of success.

As a trainee, you will spend time working online alongside others in a cohort of 16-20 people. There is a focus on doing things well but there is plenty of space for fun and individual expression. When working with our client we will stay in touch through regular 121s and communications - we will coach you to keep improving and make the best impression possible. We will also have regular events throughout the year and are looking to build more opportunities to get involved.

The Key Facts

The Training: a free, unpaid 12-15 week intensive programme covering software fundamentals and data engineering: professionally write complex code using Python and SQL, create APIs, work with structured and unstructured data and deploy applications to the cloud. Equally important, we include training in high-performance personal and professional behaviour (from interviewing to problem-solving);The Role: after training, our laser focus is to place you with a client and employ you starting on £30,000 p.a., rising to £38,000 in the second year. You will work with one of our clients for 2 years to help them solve real-world problems while we continue to develop you technically and professionally. If we fail to find you a role with us, we will still try and help you find a role somewhereThe Goal: at the end of 2 years working for us, you will join our network which includes 100 senior managers at some of the world's leading organisations, all of whom are committed to helping Sigma Labs alumni in the long term. You should be able to earn £45K to £55K at this point;The Location: the training is largely remote, but we will bring you to our central London office for a few days at the start to get to know each other better. All of our roles are currently based in or close to London and successful trainees will be expected to live in that area.

Our Offer

12-15 weeks of proven high-quality technical and professional training in a wide range of skills that are in high demand followed by work in a London-based role such as data engineering or data analysis; Highly valued: “It’s the first time someone believed in me” and “This is what university should have been” - our trainees and consultants praise our level of support with attentive coaches who make themselves available through regular 121s and low trainee/coach ratios; Training is just the beginning: we provide coaching, mentoring, technical support, high-performance mindset training and more while you work for our clients with the aim of lifelong success; Our commitment to you is to get you into a technology role: we can’t guarantee a particular role or industry but we work hard at placing people where they have the opportunity to thrive; You don’t need coding experience to apply as we will support you so you are ready for the technical assessment at the end of our hiring process. We will also support you before the start of training so that you are where you need to be; We will provide laptops and cover any travel and accommodation expenses during training. Remote-first learning and hybrid working.

Who we’re looking for

You’ll fit right in at Sigma Labs if you:

see a job as an opportunity to learn and make an impact, not just a destination; love to learn and are not scared to try; value collaboration to reach your goals; can logically think through a problem and clearly explain the solution; will go above and beyond to be a difference-maker.

As a B-Corp with social mobility at the heart of our mission, we particularly want to hear from people not well represented in technology and high-performance jobs including female candidates and those from low-income backgrounds.

Interested? If so, click 'Apply Now' to begin your application!

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