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Junior Data Scientist

Publish Date: Dec 30, 2021

Location: Boston, East Anglia, GB-United Kingdom

Company: Atos

About Atos

Atos is a global leader in digital transformation with 110,000 employees in 73 countries and annual revenue of € 12 billion. European number one in Cloud, Cybersecurity and High-Performance Computing, the Group provides end-to-end Orchestrated Hybrid Cloud, Big Data, Business Applications and Digital Workplace solutions. The Group is the Worldwide Information Technology Partner for the Olympic & Paralympic Games and operates under the brands Atos, Atos|Syntel, and Unify. Atos is a SE (Societas Europaea), listed on the CAC40 Paris stock index.

The purpose of Atos is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.


At Atos, our ambition is to be a diverse and inclusive company where people are truly free to be themselves. They can thrive, achieve their personal goals and innovate without limitations. We welcome everyone to apply.

Family friendly, flexible working arrangements will be considered across all roles.




The opportunity

We are looking for a Junior Data Scientist to join our team. If you are a forward-thinking, motivated person, who loves working in a fast-paced environment, then, read below!



  • Support the Senior Data Scientist to deliver innovative technical solutions that will meet the requirements of our clients. This will entail gathering requirements, analysing, developing, testing, evaluating and deploying the appropriate solution through the full development lifecycle.
  • Learn the data engineering skills required to gather raw data from a variety of sources and transform it into inputs for Data Science models.
  • Learn to train, evaluate, deploy and monitor machine learning models using Python or R and no code / low code technologies.
  • Maintaining clear and coherent communication, both verbal and written, between project team members and the client to provide updates on progress, facilitate meetings and report outcomes.
  • Experiment with new tools and techniques which might benefit current or future clients.


Person Specification

Passionate about the transformative impact the right information can have on a business and already experimented with how to gain insight from data. Your higher education is likely to be strongly numerical discipline, or able to demonstrate self-guided learning which has provided a foundation for quantitative analysis.

Have an appreciation of statistical methods, experimental design and the underlying principles of machine learning algorithms.

Keen to learn how to transform, analyse and model data from a variety of data sources, extracting and interpreting trends and insights.

Comfortable explaining technical concepts to non-technical audiences, be prepared to participate in meeting and manage situations with imperfect information.

Curiosity about Natural Language Processing would be beneficial as you'll be working with structured and unstructured data, free text being the most common unstructured data we process.

A basic grasp of R or Python is desirable. You will be required to learn one of the two languages for working with data as well as codeless platforms.


What we offer?

A competitive salary and attractive extra benefits.

Working in an innovative environment with motivated colleagues with 'go-getter' demeanour and a committed manager.

Access to our knowledge library and interdisciplinary e-learning portals to further improve.

Individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation!


More reasons to join us

  • Attractive salary
  • 25 days of Annual leave + an option to purchase more through our Flexible Benefits
  • Flex benefits system – exciting opportunity to choose your own benefits
  • Retail discounts
  •  Pension - matching contribution up to 10%
  • Private Medical Scheme
  • Life Assurance
  •  Enrolment in our Share scheme - subject to scheme eligibility criteria Unlimited opportunities to learn in our Training platforms


Here at Atos, we want all of our employees to feel valued, appreciated, and free to be who they are at work. Our employee lifecycle processes are designed to prevent discrimination against our people regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes them unique. Across the globe, we have created a variety of programs to embed our Atos culture of inclusivity, and work hard to ensure that all of our employees have an equal opportunity to contribute and feel that they are exactly where they belong.