At a Glance
- Tasks: Join our AI and ML team to create impactful data science solutions for clients.
- Company: Eviden is a global leader in digital transformation with 47,000 talented professionals.
- Benefits: Enjoy 25 days of annual leave, flexible benefits, retail discounts, and a pension plan.
- Why this job: Work on innovative projects that bridge technology and business, making a real impact.
- Qualifications: Experience in data science, strong Python skills, and a background in Mathematics or Physics required.
- Other info: We support diversity and are committed to making reasonable adjustments for applicants with disabilities.
The predicted salary is between 43200 - 72000 £ per year.
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 will collaborate with business stakeholders to identify use cases and shape opportunities for delivering data science solutions, ensuring a clear connection to business benefits.
- 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.
Essential Duties & Responsibilities:
- 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.
- 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.
Person Specification
- Extensive experience in comprehending business challenges and converting this understanding into practical data science solutions.
- Previous experience of delivering data science solutions using Microsoft Fabric and Azure DevOps or similar.
- 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 beneficial.
- 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.
We care about our employees’ happiness by
- 25 days of Annual leave + an option to purchase more through our Flexible Benefits.
- Flex benefits system – an 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.
As a Disability Confident employer, we aim to ensure that people with disabilities who meet the minimum criteria for this position will be offered an interview. We are committed to making reasonable adjustments and changes as needed to the application and assessment process to remove or reduce any disadvantage associated with a person’s disability.
Let’s grow together. #J-18808-Ljbffr
Data Scientist employer: Atos
Contact Detail:
Atos Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarize yourself with the specific technologies mentioned in the job description, such as Microsoft Fabric and Azure DevOps. Having hands-on experience or projects that showcase your skills with these tools will make you stand out.
✨Tip Number 2
Highlight your ability to communicate complex data science concepts to non-technical stakeholders. Prepare examples from your past experiences where you successfully bridged the gap between technical and business teams.
✨Tip Number 3
Stay updated on the latest trends in AI and machine learning. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and commitment to the field.
✨Tip Number 4
If you have experience with DataOps or MLOps, be sure to emphasize this in your discussions. These skills are increasingly valuable and can set you apart from other candidates.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description and understand the key responsibilities and requirements. This will help you tailor your application to highlight relevant experiences and skills.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with data science solutions, particularly using Microsoft Fabric and Azure DevOps. Mention specific projects where you've successfully applied statistical methods and machine learning algorithms.
Showcase Communication Skills: Since the role requires clear communication with both technical and non-technical audiences, provide examples in your application that demonstrate your ability to explain complex concepts in an accessible way.
Include Technical Proficiencies: Make sure to list your technical skills prominently, especially your proficiency in Python, SQL, and any experience with tools like spaCy and BERT. This will show that you have the necessary technical background for the position.
How to prepare for a job interview at Atos
✨Understand the Business Context
Make sure you can articulate how your data science solutions can address specific business challenges. Familiarize yourself with Eviden's industry focus and think of examples where data-driven decisions have led to significant business outcomes.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with tools like Microsoft Fabric, Azure DevOps, and Python programming. Highlight any projects where you've implemented machine learning algorithms or worked with large datasets, especially using spaCy or BERT.
✨Communicate Effectively
Practice explaining complex technical concepts in simple terms. You may need to present your findings to both technical and non-technical stakeholders, so being able to bridge that gap is crucial.
✨Demonstrate Continuous Learning
Eviden values staying up-to-date with the latest technologies and methods. Be ready to discuss how you keep your skills sharp and any recent trends in data science or AI that excite you.