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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - **Company:** AtkinsRéalis - **Location:** London, UK (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Apache HTTP Server, Big Data, Cloud Computing, Collaborative Software, Data Auditing, Data Cleansing, Information Engineering, Distributed Data Store, Python (Programming Language), Machine Learning, Natural Language Processing, Scrum Methodology, Standard Sql, Software Engineering, Unstructured Data, Enterprise Data Management, Feature Engineering, Retrieval-Augmented Generation, Large Language Models, Apache Spark, Deep Learning, Model Validation, Generative AI, Git, Pyspark, Information Technology, Data Analytics, Machine Learning Operations, Software Version Control - **Published:** October 23, 2026 - **Apply:** https://slihrms.wd3.myworkdayjobs.com/Careers/job/GBLondonNova-North/Senior-Data-Scientist_R-166923 ## About the Role * Candidates should typically bring at least three years of relevant professional experience, although applicants with less experience and strong evidence of capability will also be considered. * Strong Python and SQL skills, with experience developing production-quality insightful, statistical, AI and machine-learning solutions. * Experience working with large, complex, structured and unstructured datasets, including data preparation, exploratory analysis, feature engineering and model validation. * Practical experience with Git, Agile delivery and collaborative software-development workflows. * Experience using distributed data-processing and MLOps tools such as Spark, PySpark, MLflow, JupyterHub or equivalent technologies. * Understanding of data-product lifecycles, data quality, governance, reproducibility and auditable insightful workflows. * Ability to translate operational or business needs into insightful solutions and communicate findings clearly to technical and non-technical stakeholders. * Effective collaboration within multidisciplinary teams, supported by strong problem-solving, documentation and critical-thinking skills. Desirable Skills & Experience * Advanced statistical modelling, experimental design, forecasting, anomaly detection, model optimisation or explainability. * Deployment and operation of machine-learning models, including monitoring, drift detection and performance management. * Awareness of modern lakehouse or enterprise data platforms and technologies such as Trino and Apache Iceberg. * Experience in NLP, large language models, Generative AI, deep learning, graph analytics. * Responsible AI or retrieval-augmented generation. * Delivery of data products or decision-support capabilities in secure, governed or operational environments. * Stakeholder engagement, workshop facilitation and presentation of insightful findings to senior audiences., * Curious, insightful and outcome-focused, with a commitment to technical excellence and continuous learning. * Collaborative and comfortable working through complexity and ambiguity. * Able to balance innovation with operational reliability, governance and security. * Motivated to deliver data products that create measurable user and mission impact., * A degree in data science, computer science, software engineering, mathematics, statistics, physics, engineering or another quantitative discipline, or equivalent professional experience. * Evidence of relevant continuing professional development. * A postgraduate qualification or recognised professional certification in data science, AI, machine learning, data engineering, cloud platforms, Agile delivery, Responsible AI or security is advantageous but not essential. ## Description * Design, develop and deploy statistical, insightful, AI and machine learning solutions to solve operational challenges. * Explore large and complex datasets to identify trends, patterns and actionable insights. * Apply appropriate machine learning, predictive analytics and data science techniques to real-world problems. * Develop and evaluate insightful models using robust performance and validation methodologies. * Communicate findings and recommendations clearly to both technical and non-technical stakeholders. * Contribute to development of innovative AI, machine learning and advanced analytics capabilities. Data Product Delivery * Ensure large datasets are managed appropriately across staging, modelling, analytics and presentation layers. * Contribute to the design and delivery of high-quality data products that support Cyber Capability requirements. * Work collaboratively with Product Owners and Business Analysts to translate user needs into insightful solutions. * Support data quality assurance, governance and reproducibility across insightful workflows. Platform & Engineering * Develop and maintain production-quality Python and SQL code. * Use Git-based source control and branch management practices across multiple deployment environments. * Work with Spark and PySpark to process and analyse large-scale datasets. * Develop and manage machine learning workflows within an MLOps environment. * Use tooling such as MLflow, VS Code or JupyterHub for model development, experimentation and deployment. * Work with technologies to access, manage and analyse data at scale (e.g., Apache Iceberg and Trino). Delivery Excellence * Participate fully in Agile ceremonies including sprint planning, backlog refinement, demonstrations and retrospectives. * Produce high-quality technical documentation and knowledge-sharing materials. * Contribute to continuous improvement of data science and MLOps practices.