Data Scientist

Digital Futures · £20-30k · London
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About Digital Futures

Digital Futures is a UK technology services and training organisation with an experienced team, created to help people like you get into tech. We will give you the skills and the opportunity to work with some amazing companies across a variety of industry sectors. It doesn’t matter what you studied at university – if you are interested in a rewarding career in the exciting tech industry, we are here to help. We select and assess applicants based on their ability to demonstrate the critical attributes needed for a successful career in technology, with no minimum education or experience required.

Your journey with Digital Futures will start with our immersive training Academy, in which our team of expert trainers will help you solve problems, learn essential technical skills and get you ready for business. This training is delivered mostly online, with one-to-one mentoring and plenty of opportunities to collaborate with other people on the course. We plan to spend 20% of our time working together in person and supporting you with the more personal skills required to be successful in business.

Once you pass this stage, we will give you the opportunity to take up a full-time contract with Digital Futures where you will spend 1–2 years working in high-performing teams at some of the world’s most innovative companies. You will be helping our industry partners on a number of strategic technology initiatives, focused on solving real-world problems. You will continue to benefit from ongoing training, support and mentoring from the Digital Futures team. We will assess your progress continuously to ensure you are developing at the right pace. At the end of your development programme, you will be perfectly set-up for a brilliant future in tech.

Join us and start your Digital Future today.

 

The role:

Data science is where state-of-the-art technology meets business decision-making, and our data scientists combine both the mathematical and the business significance of data science when solving practical problems for our industry partners.

During your immersive training, you'll learn how to derive insights and how to present the results to stakeholders effectively, through a series of practical workshops and team challenges incorporating real datasets (e.g. from Kaggle).

You will be able to understand and analyse phenomena with data using techniques and theories learned, as well as through working continuously on real-world projects to develop and advance your data skills.

On completing this course, you'll have a solid foundation in data science techniques, models and approaches to understanding the behavioural characteristics of KPIs, maximising the impact you'll make in industry.

Immersive Training Coverage:

  • Coding fundamentals (Python)
  • Applied mathematics and statistics
  • Big data technologies (e.g. Hadoop / Spark)
  • Data model testing and governance
  • Machine learning and deep learning
  • Natural language processing

 

What are we looking for?

Our data scientists come primarily from a STEM background. However, non-STEM backgrounds will be considered, as well as those individuals who can demonstrate the following characteristics:

  • Genuine interest in technology and how it can help the world
  • Self-starting and motivated by personal development
  • Intellectually curious with strong problem-solving skills
  • Team player and collaborative in nature
  • Delivery mindset with the ability to get things done

Due to the nature of the topics covered, we recommend that individuals with strong mathematics and statistics skills apply.

 

Benefits:

£27,500 starting salary, after commencing client project work. 10% bonus & benefits. 6 monthly reviews and salary adjustments.

 

If this sounds like you, we would love to hear from you.

 

Equal Opportunities

We don’t simply talk about being an equal opportunities employer, we mean it. Our successful candidates come from all sorts of backgrounds and we are all about promoting diversity and creating equal opportunities within the tech sector.

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