Data Scientist

Key Skills

Agile methodologies, Data science techniques, Database, DataOps, Design, Effective communication skills, ETL frameworks, Machine learning techniques, MLOps tools, Python Programming, R Programming, SQL

Job Description

Eviden is an Atos Group business with an annual revenue of circa € 5 billion and 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 53 countries. By uniting unique high-end technologies across the full digital continuum with 57,000 world-class talents, Eviden expands the possibilities of data and technology, now and for generations to come.

The opportunity

We're looking for a motivated and forward-thinking Data Scientist with 'go-getter' demeanour, who loves working in a fast-paced environment to join our team! The Artificial Intelligence and Machine Learning team blend statistical techniques and ML to create value from data for our clients.

Essential Duties & Responsiblites:

• 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

Signs of success:

• Passionate about ground-breaking impact the right information can have on a business will be clear from your previous projects and personal exploration of Data Science.
• Strong appreciation of statistical methods, experimental design and the underlying principles of machine learning algorithms. You will have the ability to transform, analyse and model data from a huge number of data sources, extracting and interpreting trends and insights.
• Able to evaluate models and have an awareness of how they can be implemented, monitored and maintained as part of enterprise technology stacks. DataOps / MLOps experience would be valued.
• Competence in Python or R is required and other common languages and tools would be assets. There will be opportunities to build skills in coding and the use of no-code/low-code tools as well as broadening your understanding to data platforms and BI.
• Knowledge of database design as well as experience with SQL is desirable.
• Superb interpersonal skills.
• You will likely have a background in Mathematics, Physics or Computer Science and have worked within an Agile project team in the past.