16 of 16 Analytical Modelling Jobs in Berkshire

managing AI/ML solutions on the Microsoft Azure platform. You will work closely with data scientists, researchers, and product managers to translate complex analytical models into production-ready, scalable applications. Your expertise in Azure AI services, MLOps, and data engineering will be crucial in delivering high-impact ...

part of a growing data function with the freedom to shape how things are done, while working on a healthy mix of analytical, modelling and emerging AI projects. What You'll Be Working On You'll be involved in the full delivery cycle, including: Understanding problems, shaping requirements … turning them into practical data solutions. Preparing and engineering large datasets to support modelling and analysis. Building and validating models across areas such as classification, regression and NLP. Deploying and maintaining your work in a modern cloud environment (Azure/Databricks). Presenting insights clearly to both technical ...

Writing and optimising complex queries for data extraction and transformation Supporting BAU data operations and ensuring consistent data delivery Creating and managing reports Developing analytical models) Managing and troubleshooting database environments Ensuring data integrity, quality, and consistency across systems Collaborating with data architects, engineers, to meet operational goals Participating ...

Writing and optimising complex queries for data extraction and transformation Supporting BAU data operations and ensuring consistent data delivery Creating and managing reports Developing analytical models) Managing and troubleshooting database environments Ensuring data integrity, quality, and consistency across systems Collaborating with data architects, engineers, to meet operational goals Participating ...

script; you're helping make it better. Must have — strong practical experience in most of: Python for data workflows and automation Advanced SQL (optimisation, analytical functions, modelling) ETL/ELT pipeline design, build, and orchestration Docker and containerisation Cloud environments (Azure, AWS, or GCP) Version control (Git) Bonus ...

script; you're helping make it better. Must have — strong practical experience in most of: Python for data workflows and automation Advanced SQL (optimisation, analytical functions, modelling) ETL/ELT pipeline design, build, and orchestration Docker and containerisation Cloud environments (Azure, AWS, or GCP) Version control (Git) Bonus ...

join a Fixed Income technology team, supporting electronic trading and market-making operations. This hybrid role combines software engineering with data science, building analytical tools, machine learning models, and data products that directly inform trading decisions and improve execution performance. You will work on the trading floor alongside traders … quants, and technologists to develop insights from market and transaction data, automate analytical workflows, and deploy models into production environments. This is a hands-on role for someone who enjoys both building robust systems and extracting value from complex datasets. Responsibilities You will design and build data pipelines ingesting ...

will play a key role in shaping how data is structured, modelled, visualised and consumed, helping to improve reporting efficiency, data accessibility and analytical capability across multiple departments. The Role As a Data Analytics Engineer, you will take ownership of turning raw data into structured, analysis-ready datasets … delivering intuitive dashboards and reporting solutions that drive strategic decision-making. Responsibilities Include: Designing and maintaining scalable data models optimised for analytical use Developing and optimising complex SQL transformations to clean, aggregate and enrich data Ensuring data accuracy through validation and quality control processes Building interactive dashboards and reports ...

will play a key role in shaping how data is structured, modelled, visualised and consumed, helping to improve reporting efficiency, data accessibility and analytical capability across multiple departments. The Role As a Data Analytics Engineer, you will take ownership of turning raw data into structured, analysis-ready datasets … delivering intuitive dashboards and reporting solutions that drive strategic decision-making. Responsibilities Include: Designing and maintaining scalable data models optimised for analytical use Developing and optimising complex SQL transformations to clean, aggregate and enrich data Ensuring data accuracy through validation and quality control processes Building interactive dashboards and reports ...

scale a modern data and analytics platform. About the Role This role sits between data engineering and analytics, with a strong focus on SQL modelling, data quality, and analytics-ready datasets rather than raw ingestion-heavy pipelines. You'll take ownership of production analytics, enable stakeholders to self-serve … someone who enjoys building reliable data foundations, working close to real business use cases, and owning data end to end. Responsibilities Analytics & Data Modelling Design, build, and maintain analytics-ready data models using SQL Define and maintain trusted metrics and semantic layers Translate business and analytical requirements into ...

Fabric Dataflows, Pipelines, Lakehouse tables, and Warehouse objects to support enterprise analytics and downstream applications. Collaborate with Data Analysts, Power Platform Developers, and data modelling teams to ensure well-prepared Silver datasets reliably support the Gold layer used for reporting and AI or automation scenarios. Work closely with internal … skills for ETL or ELT processes, API integration, data manipulation, and data quality enforcement. SQL proficiency with experience in schema design, performance tuning, and analytical data modelling. Proven experience integrating complex datasets from APIs, SFTP transfers, on-premise databases, and cloud data stores. Ability to collaborate closely with business ...

grow their fifty-person team, you will have a direct, meaningful impact on how effectively businesses can use their staff. By applying your analytical, model-building and problem-solving skills, you will evaluate operational data to optimise the deployment of labour. In this role, you'll design data-driven … teams across the business to turn challenges into practical solutions Requirements: Over 3 years of experience creating and shipping real-world AI solutions Strong analytical mindset demonstrated through study or industry work Confident using Python and common machine-learning toolsets Decent grasp of key ML methods and when ...

data into meaningful stories that support and influence non-finance stakeholders, particularly across Sales, Marketing, and Customer Success. The ideal candidate will have: Strong analytical and modelling skills, with the ability to interpret trends and explain the story behind the numbers' The confidence to present to senior leadership ...

least one prior internship in finance — ideally investment banking, strategy consulting, or buy-side investing • MBA graduates are also encouraged to apply • Strong analytical, financial modelling, and problem-solving skills • Excellent attention to detail and ability to work under tight deadlines • Fluent in English; Italian or another European ...

Testing Skills on SAP Datasphere: SAP Datasphere testing on o Spaces, Connections, Data Flows, Views, Analytical Models. o Semantic modelling and business layer design. • HR Domain Knowledge for Testing o Deep understanding of HR processes: Recruitment, Onboarding, Payroll, Performance, Compensation. o Familiarity with HR KPIs and metrics. • SuccessFactors … Integration for Testing o Hands-on experience with SuccessFactors OData APIs. o Modelling data from Employee Central, Recruiting, Compensation modules. • Data Management on Testing o Data harmonization, transformation, and governance. o Experience with MDFC/CDW or similar HR data warehouses. • Other Skills o SQL, Data Modelling best ...

firm. The role: Designing, developing, and maintaining conceptual, logical, and physical data models across multiple business domains Leading the creation of predictive and analytical models that support strategic decision-making Ensuring data consistency, integrity, and quality through well-structured databases and optimised data designs Integrating data models into … define and deliver data requirements Conducting model reviews to ensure alignment with governance standards, regulatory obligations, and best practice Assessing and adopting new data modelling tools and technologies to improve scalability and efficiency Requirements: Strong experience delivering end-to-end data models (conceptual, logical, and physical) in complex environments ...