Adecco Derby £60,000 – £75,000 pa
Design and build data pipelines, ETL processes, APIs and microservices in Python, deploying machine learning models and statistical analysis into production. Manage AWS infrastructure (S3, Lambda, EC2, RDS, Glue) supporting data and application workloads, working with large complex datasets in an innovative technology team.
Capital One Derby
Develops and maintains the statistical and machine learning models behind key underwriting and lending decisions, working with large datasets, feature generation and Open Banking or Credit Bureau data. Involves model risk management, validation, monitoring and consulting on statistical test design within a collaborative data science team.
Capital One Derby
Lead the development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers from raw multi-modal data. The role combines technical direction, stakeholder collaboration and mentoring, taking prototypes through to production in a hybrid Nottingham-based team.
A little outside Derby, but within reach.
Michael Page HR Alfreton £62,000 – £66,000 pa
Lead the People Data & Insights function, defining a multi-year strategy and operating model across reporting, analytics and governance. Consolidate data from multiple HR, recruitment and learning platforms into a trusted source, enhancing Power BI dashboards and self-service capabilities while mentoring an analytics team and shaping the roadmap toward AI-enabled insight.
Capital One Mansfield
Develops and maintains the statistical and machine learning models behind customer lending and underwriting decisions, using advanced feature generation and large-scale data manipulation. Consults on complex statistical test design and works cross-functionally with business partners, with a strong emphasis on Model Risk Management, validation and monitoring. Python coding and Open Banking or Credit Bureau data experience are central.
Capital One Mansfield
Leads development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. Sets technical direction, manages projects, communicates with stakeholders and mentors junior team members, working in a hybrid Nottingham office three days a week.
Center Parcs group Newark £90,000 – £100,000 pa
Lead the organisation's data strategy, platforms and governance, shaping how data, analytics and AI modernise the business and improve guest experiences. Combine accountability for data technology and engineering with building a company-wide data culture, acting as strategic adviser to the CTO and senior leadership.
Bassetlaw District Council Nottingham £37,563 – £40,444 pa
Lead the council's corporate GIS function, owning ArcGIS infrastructure, spatial intelligence strategy and location-based insight across Planning, Housing, Economic Development and Corporate Policy. The role combines technical leadership, spatial data solution development and stakeholder engagement, supporting digital transformation and Local Government Reorganisation work.
Proactive Appointments Birmingham £55,000 – £62,500 pa
Joins a small Data & Insight team owning the full data journey, from extracting source data through modelling and integration to delivering insight for senior leaders, operational teams and customers. Works with a Microsoft-focused stack including Fabric, Power BI, Power Apps, Power Automate, APIs, Python and SQL, with scope to shape standards and solutions as the function is rebuilt.
Michael Page Lichfield £40,000 – £50,000 pa
Delivers executive-level performance reporting, KPI analysis, forecasting and financial modelling for a major UK infrastructure organisation, turning customer, revenue and commercial data into actionable recommendations. Partners with Finance, Operations, Marketing and Business Development, and builds Power BI dashboards using SQL and Databricks while improving reporting processes and data quality.
Capital One Nottingham
Lead the development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. The role combines technical direction, stakeholder collaboration and mentoring, taking models from prototype through to production in a hybrid Nottingham team.
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