Data Scientist

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Create scalable APIs and data services that provide reliable and governed data products.

• Develop solutions that facilitate operational reporting and support advanced analytics applications.

• Build web applications and internal data products utilizing contemporary front-end frameworks.

• Design and integrate REST APIs and, when suitable, GraphQL APIs.

• Establish authentication and authorization systems with enterprise identity providers.

• Partner with UX, Product, and Business stakeholders to convert requirements into effective solutions.

• Evaluate and operationalize predictive models and machine learning solutions.

• Discover opportunities for optimization, forecasting, automation, and intelligent decision-making support.

• Assist in deploying machine learning models into production using MLOps methodologies.

• Work with structured, semi-structured, and streaming data to produce actionable insights.

• Contribute to AI-driven solutions, including Generative AI, Agentic AI, NLP, forecasting, and optimization.

• Implement Infrastructure-as-Code principles to enable repeatable cloud deployments.

• Create dashboards and visual analytics solutions using contemporary reporting and visualization tools.

• Convert complex analytical results into clear, business-oriented insights.

• Collaborate closely with Data Scientists, Analysts, and operational stakeholders to enhance adoption.

• Design and maintain automated unit, integration, contract, and performance tests.

• Uphold security-by-design principles, including least-privilege access, secrets management, network security, and encryption controls.

⛳️ Requirements

• Strong understanding of REST APIs and event-driven architectures.

• Proven experience applying software engineering best practices for developing reliable, maintainable applications and data products.

• Solid practical experience in data engineering.

• Knowledge of partitioning, offset management, delivery guarantees, and event-driven solution patterns.

• Experience in building data pipelines and real-time or near-real-time processing solutions.

• Familiarity with structured and semi-structured data.

• Experience in developing user interfaces with modern front-end frameworks such as React, Angular, or Vue.

• Proven experience in integrating front-end applications with APIs and data services.

• Sound understanding of CI/CD practices and DevSecOps principles.

• Experience with containerized applications and cloud environments.

• Hands-on experience using Python for data science, automation, or analytics.

• High-level understanding of machine learning techniques, feature engineering, and model deployment.

• Experience in operationalizing analytical solutions within enterprise contexts.

• Ability to work collaboratively with Data Scientists and other analytical experts to translate analytical methodologies into production solutions.

• Experience in developing production-quality user experiences and data visualizations.

• Familiarity with MLOps platforms and model lifecycle management.

• Knowledge of optimization, forecasting, and simulation techniques.

• Experience in creating or contributing to AI-enabled operational products.

• Exposure to Generative AI, Agentic AI, or NLP solutions.

• Understanding of data governance, metadata management, and data quality frameworks.

• Some foundational knowledge in statistics and analytical problem-solving.

• Experience with Infrastructure-as-Code tools and methodologies.

🏝️ Benefits

• Pension Scheme - contributions matched up to 10%.

• Private medical insurance.

• Income Protection.

• Life Assurance.

• 25 days paid leave plus National Holidays.

• Flexible benefits program.