Data Scientist

Atos SE, Victoria Park, City of Bristol

Data Scientist

Salary Not Specified

Atos SE, Victoria Park, City of Bristol

  • Full time
  • Permanent
  • Onsite working

Posted 1 day ago, 30 Oct | Get your application in today.

Closing date: Closing date not specified

job Ref: 0375d94f00df41719b7a27b773f771a0

Full Job Description

  • Lead and 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.
  • Design data models and ETL pipelines to meet the business requirements in the most efficient manner
  • Maintain clear and coherent communication, both verbal and written, to understand data needs and report results to technical and non-technical audiences
  • Horizon scan to stay up to date with the latest technology, techniques and methods
  • Conduct research from which you'll develop prototypes and proof of concepts
  • Manage and mentor junior team members

    Passionate about the transformative impact the right information can have on a business.
  • Strong grasp of statistical methods, experimental design and the underlying principles of machine learning algorithms.
  • Ability to transform, analyse and model data from a variety of data sources, extracting and interpreting trends and insights.
  • Able to evaluate the models and experience of implementing them as stand-alone apps and as part of enterprise technology stacks. DataOps / MLOps experience would be valued.
  • Strong Python programming for modelling and/or data analysis is essential, preferably with experience using the spaCy NLP framework and BERT.
  • Knowledge of database design as well as strong experience with SQL queries is desirable. Familiarity with R and other common languages and tools would be assets.
  • Proficiency in stakeholder management and an effective, persuasive communication style to explain technical subjects to non-technical audiences.
  • Background in Mathematics or Physics and experience working within Agile projects as a team member and Scrum Master

    Eviden, part of the Atos Group, with an annual revenue of circa € 5 billion is a global leader in data-driven, trusted and sustainable digital transformation. As a next generation digital business with worldwide leading positions in digital, cloud, data, advanced computing and security, it brings deep expertise for all industries in more than 47 countries. By uniting unique high-end technologies across the full digital continuum with 47,000 world-class talents, Eviden expands the possibilities of data and technology, now and for generations to come.
  • The Opportunity:
  • The Artificial Intelligence and Machine Learning team blend statistical techniques and ML to create value from data for our clients.
  • You'll extract, analyse and interpret large amounts of data from a range of sources, using algorithmic, data mining, artificial intelligence, machine learning and statistical tools, in order to make it accessible to our clients. You will then present your results using clear and engaging language in a way that bridges the fundamentally theoretical aspects of these initiatives to the business needs. This includes translating between technical and nontechnical audiences.
  • You will work across industries and technology platforms (Azure, AWS, GCP) working with structured and unstructured data from an array of data sources., In addition to joining a global leader in digital transformation, you can also expect a fantastic range of benefits. These include: a rewarding salary, 25 days' annual leave, private medical insurance, an attractive stakeholder pension scheme plus many more. We also operate a flexible benefits scheme, allowing you to purchase discounted products and services.
  • What's more, we really value your progress and it's a top priority to engage, inspire and develop you to help you maximise your potential. In fact, we have comprehensive training and development programmes in place demonstrating our commitment to developing your career. Let's grow together.