Data Scientist

Posted 2hrs ago

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Job Description

Data Scientist building APIs, data products, machine-learning solutions and dashboards for Atos’s global digital transformation business. Supporting cloud deployments, MLOps and AI-enabled operational products.

Responsibilities:

  • Develop scalable APIs and data services exposing trusted and governed data products
  • Implement solutions supporting operational reporting and advanced analytics use cases
  • Develop web applications and internal data products using modern front-end frameworks
  • Develop and integrate REST APIs and, where appropriate, GraphQL APIs
  • Implement authentication and authorization mechanisms using enterprise identity providers
  • Collaborate with UX, Product and Business stakeholders to translate requirements into usable solutions
  • Test and operationalize predictive models and machine learning solutions
  • Identify opportunities for optimization, forecasting, automation and intelligent decision support
  • Support deployment of machine learning models into production using MLOps practices
  • Work with structured, semi-structured and streaming data to generate actionable insights
  • Contribute to AI-enabled solutions including Generative AI, Agentic AI, NLP, forecasting and optimization
  • Apply Infrastructure-as-Code principles to support repeatable cloud deployments
  • Build dashboards and visual analytics solutions using modern reporting and visualization tools
  • Translate complex analytical outputs into clear, business-focused insights
  • Work closely with Data Scientists, Analysts and operational stakeholders to maximize adoption
  • Develop and maintain automated unit, integration, contract and performance tests
  • Support security-by-design principles including least-privilege access, secrets management, network security and encryption controls

Requirements:

  • Good understanding of REST APIs and event-driven architectures
  • Experience applying software engineering practices to the development of reliable, maintainable applications and data products
  • Strong practical data engineering experience
  • Understanding of partitioning, offset management, delivery guarantees and event-driven solution patterns
  • Experience building data pipelines and real-time or near-real-time processing solutions
  • Experience working with structured and semi-structured data
  • Experience developing user interfaces using a modern front-end framework such as React, Angular or Vue
  • Experience integrating front-end applications with APIs and data services
  • Good understanding of CI/CD practices and DevSecOps principles
  • Experience working with containerized applications and cloud-based environments
  • Practical experience using Python for data science, automation or analytics
  • High-level appreciation of machine learning techniques, feature engineering and model deployment
  • Experience operationalizing analytical solutions within enterprise environments
  • Ability to collaborate effectively with Data Scientists and other analytical specialists to translate analytical approaches into production solutions
  • Experience developing production-grade user experiences and data visualizations
  • Experience with MLOps platforms and model lifecycle management
  • Familiarity with optimization, forecasting and simulation techniques
  • Experience building or contributing to AI-enabled operational products
  • Exposure to Generative AI, Agentic AI or NLP solutions
  • Knowledge of data governance, metadata management and data quality frameworks
  • Some grounding in statistics and analytical problem-solving
  • Experience with Infrastructure-as-Code tools and approaches

Benefits:

  • Pension Scheme - contributions matched up to 10%
  • Private medical cover
  • Income Protection
  • Life Assurance
  • 25 days paid leave + National Holidays
  • Flex benefits program