Data Scientist
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About Atos Amplify
We partner with business leaders to amplify impact and deliver measurable business outcomes with resilience and certainty - leveraging human experience, AI -powered insights, and deep industry expertise.
Our consulting and advisory services support our customers confidently navigate a digital transformation journey to embrace a digital future beyond technology - delivering measurable value, operational efficiency that drives ROI and long-term impact.
https://atos.net/en/services/atos-amplify
Where purpose meets career
- Diverse Project Exposure
- Professional Development: We prioritise career advancement within a collaborative team environment. Whether you are looking to move into leadership or deepen your technical expertise, we provide the support to help you achieve your career goals.
The Role
Digital Transformation Consulting (DTC) is seeking an experienced Senior Data Scientist to join the Insight practice, a rapidly expanding and strategically important capability within Atos UK Consulting. This is a consulting‑led role for a senior data scientist who combines deep technical expertise with strong client‑facing skills, translating complex business challenges into secure, scalable, and responsible data‑ and AI‑driven solutions.
The role suits individuals who enjoy working at the intersection of advanced analytics, AI innovation, and strategic consulting, particularly within complex, regulated environments.
The Opportunity
As a Senior Data Scientist Consultant, you will work with public sector and enterprise clients to identify high‑value analytics and AI use cases, design and deliver end‑to‑end solutions, and support their operationalization at scale. You will contribute across the full lifecycle, from discovery and experimentation through to production deployment and capability building, working within multidisciplinary consulting and delivery teams.
What you will do:
Partner with clients and stakeholders to understand business objectives, identify high‑value AI and analytics use cases, and define clear success measures.
Design, prototype, validate, and deliver end‑to‑end data science and AI solutions, from discovery through to production.
Develop and evaluate statistical models, machine learning systems, and Generative AI solutions, including LLM‑based and RAG‑enabled approaches.
Support the operationalization of models and AI solutions, including deployment, monitoring, governance, and lifecycle management.
Translate complex analytical outputs into clear, actionable insights for both technical and non‑technical stakeholders.
Contribute to responsible and ethical AI adoption, identifying and mitigating risks related to privacy, security, and safety.
Mentor junior data scientists and contribute to reusable accelerators, best practices, and Insight capability development.
Skills we can’t do without:
- Client stakeholder engagement
- Applied data science expertise
- Machine learning and AI delivery
- Generative AI / LLM experience
- Strong Python skills and familiarity with core libraries (pandas, NumPy, scikit‑learn)
- Deep learning and NLP stacks (PyTorch, HuggingFace Transformers)
- MLOps and model operationalization
- Responsible AI awareness
Additional Requirements:
- Security clearance (SC / BPSS)
- Pre‑sales contribution experience
- Familiarity with regulated industries
- Awareness of architecture frameworks
Working Model:
Hybrid working model with a balance of client site, office, and home working.
Benefits:
- Pension Scheme - contributions matched up to 10%
- Private medical cover
- Income Protection
- Life Assurance
- 25 days paid leave + National Holidays
- Flex benefits program