At a Glance
- Tasks: Lead data strategy and governance, transforming organisations through intelligent data use.
- Company: Atos Group, a global leader in digital transformation and cybersecurity.
- Benefits: Pension scheme, private medical cover, 25 days leave, and flexible benefits.
- Other info: Diversity and inclusion are core values; we welcome all applicants.
- Why this job: Join a dynamic team solving complex problems with cutting-edge AI and data solutions.
- Qualifications: 4-5 years experience in data consulting and strong stakeholder engagement skills.
The predicted salary is between 60000 - 80000 £ per year.
About Atos Group
Atos Group is a global leader in digital transformation with c. 67,000 employees and annual revenue of c. €10 billion, operating in 61 countries under two brands — Atos for services and Eviden for products. European number one in cybersecurity, cloud and high performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries.
The purpose of Atos Group 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.
About Atos Amplify
Atos Amplify provides consulting and advisory services as part of the Atos Group. Our 800 consultants across Europe support our clients to confidently navigate their transformation journey and to embrace a digital future beyond technology. Our consultants focus on delivering measurable value, operational efficiency, and long-term impact.
We achieve this through our three core offerings: Driving Business Transformation, Unlocking the Value of Data and AI, and Maximising Potential of Platforms & Hyperscalers.
Where Purpose Meets Career
The Applied AI team within Amplify are a rapidly expanding and strategically important capability. Our offering focuses on strengthening the foundations, leveraging existing data ecosystem and capitalising on the potential of AI. You will join a dynamic, multi-functional team that solves complex client issues across both the private and public sectors, with extensive training and support available.
About the Role
We are looking for an experienced Lead Data Consultant with 4-5 years of experience to join the Applied AI practice. This is a consulting-led role for a senior data professional who advises at C-suite and senior stakeholder level and solves complex business problems through modern, future-ready data and AI architectures.
Key Responsibilities
- Proven experience with data strategy and governance: You will be passionate about transforming how organisations operate through the intelligent use of data and insight.
- Clear understanding of Data Architecture and Design: Modern data architecture design including cloud-native, scalable Big Data and advanced analytics architectures.
- Strong Consulting and stakeholder engagement: confidence to engage senior stakeholders, shape requirements, and present recommendations and designs with clarity and credibility.
- Analytical thinking and problem solving: experienced, inquisitive problem-solver who thrives on complex challenges and is comfortable working across multiple sectors.
- AI & Technology Fluency: Knowledgeable of emerging trends and technologies across data, analytics, and AI, and have a personal interest in analytics and evolving analytics offerings.
Additional Requirements
- UK mobility with regular client-site engagement.
- Security clearance (SC / BPSS), or eligibility and willingness to obtain clearance.
- Experience working in public sector environments.
- Architecture frameworks and professional accreditation (e.g. TOGAF).
- Familiarity with industry data standards or regulated environments.
Benefits
- Pension Scheme - contributions matched up to 10%.
- Private medical cover.
- Income Protection.
- Life Assurance.
- 25 days paid leave + National Holidays.
- Flex benefits program.
As a Disability Confident employer, we encourage applications from all applicants, especially differently abled applicants. We aim to ensure that those who meet the minimum criteria for this position will be offered an interview. We are committed and willing to making reasonable adjustments to the application and assessment process to accommodate your needs. We are a care leaver friendly employer. If you require additional support with your application, please contact our Recruiter Mihaela Perelighin on LinkedIn or send an email to our dedicated mailbox - UK-Recruitment-Support@atos.net.
Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all. Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment. Choose your future. Choose Atos.
Lead Data Consultant in Aberdeen employer: Atos
Atos Group is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration among its 67,000 employees worldwide. With a strong commitment to employee growth, Atos provides extensive training and support, particularly within the Applied AI team, ensuring that consultants can thrive in their careers while contributing to meaningful projects that shape the future of digital transformation. Located in a multicultural setting, Atos promotes diversity and inclusion, making it a welcoming place for all talents, including those with disabilities.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Consultant in Aberdeen
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We think you need these skills to ace Lead Data Consultant in Aberdeen
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Atos, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Atos. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Atos
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Atos!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.