Data Scientist

🕒 October 15

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

👻 Ghost score 13%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Atos

WebsiteLinkedInAll Job Openings

10,000+ employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Atos is a global leader in digital transformation, providing a wide range of solutions and services across industries. The company specializes in cloud and infrastructure services, digital business platforms, technology consulting, and cybersecurity, with a focus on enhancing user experiences and supporting enterprise digital journeys. Atos is committed to sustainability and innovation, partnering with various organizations to drive digital advancements, such as its role as the official IT partner for the UEFA and the Olympic Games.

📋 Description

• 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

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume