6 of 6 Remote/Hybrid Exploratory Data Analysis Jobs in England

Data Scientist IV – Data Analytics & Engineering Contract Duration: 13 April 2026 – 30 June 2026 Remuneration: £50.00 per hour Location: Remote (UK based) About the Role We are seeking a highly skilled Data Scientist IV to develop innovative solutions through advanced exploratory data analysis, statistical … with engineering teams to translate insights into real product impact. You will work remotely within approved UK regions and contribute to the development of data-driven features, predictive models, and business insights that drive product improvement. Key Responsibilities: Advanced Analytics & Machine Learning Apply expertise in statistics, machine learning, programming ...

automation, Open API and integration suite and Digital solutions serving the insurance value chain . Currently looking to recruit a Senior .NET Developer in data a product analytics. Hybrid working role The role will combine hands-on feature development in the core stack with a strong focus on data analysis, instrumentation, and product analytics. The successful candidate will help establish the businesses product analytics capability from the ground up, enabling the Product Manager and wider business to make data-driven decisions on roadmap, feature design, and resource allocation. You will work as a core member ...

Data Scientist - Renewable Energy 3-Month contract - Inside IR35 - market rate Selby based - hybrid working - 1/2 days office based Must have previous experience in energy sector, power generation or power trading industry Key Responsibilities Partner with business stakeholders to identify and prioritise opportunities where data science … external sources. Develop, test, and deploy predictive models and machine learning algorithms to address business challenges. Conduct exploratory data analysis (EDA) to uncover trends, patterns, anomalies, and key drivers. Communicate insights and recommendations through clear storytelling, visualisations, and dashboards. Collaborate with engineering teams to productionise models ...

looking for a Data Engineer who will design and implement customer data solutions that enable personalised experiences while ensuring privacy, quality, and accessibility of customer information across all touchpoints. Length: 12 months Location: London, UK Environment: Hybrid - 2-3 days in the office Key responsibilities: Develop and maintain … models that transform raw data into trusted datasets for analytics and business intelligence Implement data quality tests and monitoring to ensure accuracy and reliability Optimise query performance using effective data modelling and materialisation strategies Establish and maintain documentation and data dictionaries for analytical models, KPI definitions ...

thrive in a supportive, collaborative environment. What Youll Do: Design, develop, and deploy machine learning models using modern frameworks and libraries. Collaborate closely with data scientists, engineers, and stakeholders to turn ideas into impactful solutions. Optimize and deploy models with tools like TensorFlow Serving, TorchServe, ONNX, and TensorRT. Build … manage ML pipelines using MLflow, Kubeflow, and Azure ML Pipelines. Work with large-scale data using PySpark and integrate ML solutions into production environments. Monitor and improve model performance to ensure accuracy and efficiency. Contribute to team knowledge by mentoring and supporting colleagues. Bring creativity and fresh perspectives ...

Data Scientist Newcastle upon Tyne (Hybrid Working 3 days in office in Newcastle upon Tyne) Full-Time | Permanent | 37.5 hours per week (My client can not offer sponsorship for this role) My client is looking for a Data Scientist to join its growing Integrity Analytics team in Newcastle. … challenges. Key responsibilities include: Developing and validating predictive machine learning models Designing and implementing ETL (Extract, Transform, Load) pipelines using Python and SQL Performing exploratory data analysis, visualisation, and interpretation Contributing to generative AI initiatives, including LLM fine-tuning, document content extraction, and text summarisation Presenting technical ...