Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join our team to deliver innovative data science projects and mentor fellow analysts.
- Company: Eviden is a global leader in digital transformation with a focus on data-driven solutions.
- Benefits: Enjoy opportunities for growth, mentorship, and working with cutting-edge technologies.
- Why this job: Be part of a dynamic team tackling real-world challenges through AI and machine learning.
- Qualifications: A degree in mathematics/statistics or strong background in a mathematically focused discipline is required.
- Other info: Willingness to travel and eligibility for security clearance are essential.
The predicted salary is between 48000 - 84000 £ per year.
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 47 countries. By uniting unique high-end technologies across the full digital continuum with 55,000 world-class talents, Eviden expands the possibilities of data and technology, now and for generations to come.
About the practice:
The DAA practice represents a growing capability within Eviden and comprises a talented team of analysts, developers, consultants and architects covering all aspects of the information management lifecycle, from data management through to business intelligence and analytics.
Eviden works with a range of large organisations facing an ever-increasing demand to realise greater value from their data, understand their business challenges, and are seeking the skills to develop advanced analytics, statistical modelling, and AI/ML routines.
About the role:
We are seeking a Data Scientist to undertake independent work, play a role in the mentoring and development of the wider team, and deliver data science projects, either individually or as part of a team. You will build machine learning pipelines for clients, frequently as part of a broader project involving scoping, gathering requirements, planning and interpretation of the results.
You will have a mathematics/statistics degree or be able to demonstrate a similarly strong background in a mathematically focused discipline. Experience in Python and SQL is required, and a background in R or another language would also be advantageous.
Candidates should be eligible to obtain a security clearance to the SC level.
Key Responsibilities:
- Data Science Capability: Contribute to the data science team by delivering Data Science projects for our customers.
- Pre-Sales and Bid Efforts: Participate in pre-sales activities and bid processes, defining and explaining data science solutions while addressing client RFP (Request for Proposal) and ITT (Invitation to Tender) queries.
- Mentorship: Act as a mentor to the data science team, fostering growth and development within the team, depending on seniority.
- Client Engagement: Engage with clients to understand their requirements and deliver designs and outputs in the required formats.
Required Skills & Experience:
- Proven expertise in AI/ML Techniques: Extensive experience in applying artificial intelligence and machine learning techniques to solve complex problems and drive innovation.
- Proficiency in Programming Languages and Tools: Demonstrable experience with programming languages and data science tools, including R, Python, Matlab, Spark, to develop and implement data-driven solutions.
- Cloud Platform Experience: Strong background in working with major cloud platforms such as Google Cloud Platform (GCP), Amazon Web Services (AWS), and Microsoft Azure, leveraging their services for scalable and efficient data processing and analysis.
- ETL Development: Experience in Extract, Transform, Load (ETL) development, designing and implementing data pipelines to ensure the smooth flow and integration of data across systems.
- Willingness to Travel: Must be willing to travel as required to meet project and client needs.
- Good Communicator: Able to take the initiative in keeping internal and external stakeholders informed. Able to communicate complex and technical topics to those outside of the discipline.
Desirable Criteria:
- Thought leadership: Demonstrated from a PhD, Chartered Status, R&D role or deeply innovative projects.
- MLOps: Experience of delivery within an MLOps framework and able to tackle the challenges of delivery at scale.
- Multidisciplinary Working: Evidence of working across fields or in joint project teams with other skill sets.
- Statistical and Mathematical modelling: Applied use of statistics and probability theory.
- Optimisation: Experience of delivering optimisation solutions and familiarity with some of the techniques used.
- Advanced Data Engineering: Understanding of data structures, architecture and deep understanding of building bespoke data pipelines.
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/Senior Data Scientist employer: Atos
Contact Detail:
Atos Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist/Senior Data Scientist
✨Tip Number 1
Familiarize yourself with the specific AI/ML techniques mentioned in the job description. Being able to discuss your experience with these methods during the interview will show that you understand the role and can contribute effectively.
✨Tip Number 2
Highlight any experience you have with cloud platforms like GCP, AWS, or Azure. Be prepared to share examples of how you've leveraged these services for data processing and analysis in past projects.
✨Tip Number 3
Demonstrate your ability to mentor others by sharing specific instances where you've guided team members or contributed to their development. This will align well with the mentorship aspect of the role.
✨Tip Number 4
Prepare to discuss your experience with ETL development and data pipelines. Being able to articulate your approach to ensuring smooth data integration will be crucial in showcasing your technical skills.
We think you need these skills to ace Data Scientist/Senior Data Scientist
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Scientist position at Eviden. Understand the key responsibilities and required skills, especially in AI/ML techniques, programming languages, and cloud platforms.
Tailor Your CV: Customize your CV to highlight relevant experience in data science, machine learning, and programming languages like Python and SQL. Include specific projects or achievements that demonstrate your expertise in these areas.
Craft a Compelling Cover Letter: Write a cover letter that not only showcases your technical skills but also your ability to engage with clients and mentor team members. Mention any experience you have with pre-sales activities or bid processes, as this is a key aspect of the role.
Showcase Your Projects: If applicable, include links to your portfolio or GitHub where you have shared your data science projects. Highlight any work involving machine learning pipelines, ETL development, or cloud platform usage to demonstrate your hands-on experience.
How to prepare for a job interview at Atos
✨Showcase Your Technical Skills
Be prepared to discuss your experience with programming languages like Python and SQL, as well as any familiarity with R or other data science tools. Highlight specific projects where you've applied AI/ML techniques to solve complex problems.
✨Demonstrate Your Problem-Solving Ability
During the interview, be ready to explain how you approach data-driven challenges. Use examples from your past work to illustrate your thought process and how you develop solutions, especially in the context of client requirements.
✨Engage in Client-Centric Conversations
Since client engagement is key, practice articulating how you would gather requirements and deliver outputs that meet client needs. Show that you can communicate complex technical topics in an understandable way for stakeholders.
✨Emphasize Mentorship and Team Collaboration
As a potential mentor within the team, express your willingness to support and develop others. Share experiences where you've successfully collaborated with multidisciplinary teams or mentored colleagues, showcasing your leadership skills.
