1 to 25 of 36 Remote/Hybrid Analytical Modelling Jobs in London

credit portfolio, including revolving accounts, instalments and card products. This is a delivery-focused role requiring strong practical experience in credit pricing, SQL, Python, analytical modelling, forecasting and performance tracking. The role will use advanced analytics to optimise revenue, margin and customer value while maintaining effective risk controls … hands‐on role in credit pricing, using SQL and Python to conduct analysis, build models and deliver pricing improvements. Build and manage advanced analytical models for credit pricing, cashflow modelling, forecasting, customer valuation and portfolio performance. Define, calculate and monitor key valuation measures, including Net Present Value, Internal ...

Pythia Sports is a fast-growing technology company, delivering innovative solutions to the gaming industry since 2014. Our business is all about predictive sports modelling, underpinned by extensive use of a wide and ever-expanding array of real-time feeds and inputs. If that sounds both complex and hard … growing team working closely with Pythia’s quant modellers to ensure they have access to reliable, well-structured and high-quality data for research, modelling and analysis. With particular emphasis on data quality, usability, investigation and continuous improvement, you will work side-by-side with quant, engineering and operational ...

management and communication. Solution Development (40%) Design and develop predictive, machine learning, and Generative AI solutions. Build prototypes, proof-of-concepts, and production-ready analytical models. Perform data exploration, feature engineering, model development, and validation. Collaborate with data engineers and architects to operationalise solutions. Ensure solutions follow Responsible ...

Great Expectations and equivalent tooling Orchestration: Apache Airflow and cloud-native orchestration services Event streaming: Kafka and cloud-native event-streaming technologies Data modelling: Dimensional, analytical and domain-oriented modelling Data governance: Catalogue, metadata, lineage, quality, security, privacy and access controls Data products: Reusable, discoverable and well … designed and delivered modern data platforms that are scalable, reliable and cost-effective in enterprise environments. Making sound architectural decisions across ingestion, storage, processing, modelling, orchestration and serving. Applying strong software engineering practices to data platforms, including testing, CI/CD and infrastructure-as-code. Establishing effective approaches ...

Senior Data Modelling Consultant Location: London (Hybrid) | Practice Area : Data & Analytics | Type: Permanent Transform data structure. Model business value. Build data-driven futures. The Role Capco is hiring a Senior Data Modelling Consultant to help shape and implement enterprise-grade data models for top-tier financial services clients. … this role, you'll use your analytical mindset and modelling expertise to drive business understanding, support large-scale data migrations, and deliver best-practice modelling solutions aligned to industry standards. What You’ll Do Conduct business analysis to define data requirements and support metadata management Design ...

client organisation diagnosing the project and identifying the key problems to tackle. Within weeks you would be working with leading construction experts to develop analytical physics‐based models to predict project performance, present insights and propose actions to the client. What We Are Looking For We are looking ...

scalability and end-user experience. Apply data security controls and reporting governance best practices. Support testing, deployment and ongoing optimisation of reporting products. Data Modelling & Analytics Design robust dimensional models to enable accurate and consistent reporting. Build and maintain fact and dimension structures aligned to business needs. Work closely … with stakeholders to define KPIs, measures and reporting standards. Ensure data accuracy, consistency and trust across analytical solutions. Databricks & Data Platform Write and optimise SQL queries against large-scale cloud datasets. Collaborate with engineering teams to create curated reporting-ready data products. Support data validation, reconciliation and quality assurance ...

Years of experience operating enterprise-scale, production-grade data platforms; Experience making architectural and prioritisation trade-offs across complex data ecosystems; Advanced SQL and analytical data modelling expertise; Experience building governed datasets for analytics, research, and decision-making; Strong background in modern analytics engineering, including dbt, testing, documentation … data warehouses, preferably Snowflake; Experience with performance tuning, cost controls, and secure access patterns; Experience leading, mentoring, and developing data engineers; Strong ownership, accountability, analytical thinking, and structured decision-making; Nice to have: private markets or alternative investment data experience, advanced analytics or AI-enabled data platform capabilities, Terraform ...

making architectural and prioritisation trade-offs across complex data ecosystems, including scalability, cost, governance, and long-term sustainability considerations. Advanced expertise in SQL and analytical data modelling, with sustained experience building high-quality, well-governed datasets used broadly across analytics, research, and decision-making functions. Strong background … sense of ownership and accountability, taking responsibility for complex, business-critical data platforms and driving initiatives through to sustained production impact. You apply rigorous, analytical thinking to ambiguous problems, using evidence, engineering judgement, and structured decision-making to deliver scalable, well-governed solutions. You set a high ...

security tooling is also advantageous! Understanding of large scale enterprise IT system environmentsKnowledge of security vulnerabilities and common software engineering flaws and Network Defence analytical models (Kill Chain, ATT&CK, OWASP top 10etc.)Strong verbal & written communication skills & presentation skillsAbility to work in a fast-paced environment ...

based on data people can trust Data engineering & infrastructure Develop and maintain data pipelines in Matillion Work in Snowflake to structure, transform and manage analytical data Design data models, schemas and transformations that support analytics and reporting Automate repetitive data and reporting processes What we're looking for Proven … dashboards and reporting, ideally in Tableau Experience using Python for scripting, automation or deployment Comfortable working with large and complex datasets Able to explain analytical findings clearly to non-technical stakeholders A practical, curious and commercially-minded approach to problem-solving Experience with machine learning, Snowflake, Matillion or other ...

approaches that improve efficiency, reliability, and scalability. Delivery & Engineering Excellence Oversee the design, development, and operation of data pipelines, transformation frameworks, and curated analytical datasets. Ensure robust implementation of data quality, monitoring, observability, operational controls, and governance requirements. Lead the delivery of scalable data integration solutions across APIs, event … data ingestion, transformation, and validation. Experience with Microsoft Fabric or similar modern cloud‐based analytics and data platforms. Strong experience designing and governing analytical data models using recognised patterns such as Medallion Architecture, star schema, and snowflake schema. Experience leading technical teams, mentoring engineers, and establishing engineering standards ...

Newsflare is seeking a Data Science & Analytics Lead to own the data, analytics and reporting capability. You will develop analytical solutions, build predictive models, and turn complex data into clear insights for multiple stakeholders across the business. You will work with Matillion, Snowflake, Tableau, R and Python, collaborating with ...

Having already modernised their infrastructure and implemented a cloud-based Azure Data Lakehouse platform, they are now focused on improving data accessibility, governance, and analytical capability. Data is a strategic priority across the business, with strong executive sponsorship and ongoing investment in technology, people, and processes. This creates … excellent opportunity for a Senior Data Architect to make a lasting impact. The Role You will lead the data modelling and architecture strategy across a modern Azure Data Lakehouse environment, ensuring scalable and governed data solutions that support both current reporting and future analytical use cases. Key responsibilities ...

Companies across diverse sectors, designing, building and scaling practical data solutions that improve reporting, analytics, decision-making and value creation. We deliver data and analytical solutions designed to streamline reporting capabilities and enhance business insights across finance, sales, operations, marketing, pricing, customer and other complex data sets. This role … investor priorities. Shape analytics approaches that link data output to business outcomes. Guide the development of dashboards, management reporting packs, performance views and analytical models. Challenge whether analysis answers the right commercial question, not just whether it is technically correct. Turn complex analysis into clear narratives, recommendations and actions. ...

solutions using frameworks like LLMs and RAG architectures Act as a liaison between business stakeholders and engineering teams to ensure solution alignment Apply advanced analytical techniques (predictive modeling, time-series forecasting, optimization) to generate tangible business results Promote responsible AI practices in line with ethical and regulatory standards (e.g. … native AI services (AWS, Azure or GCP) Knowledge of MLOps practices and tools like Databricks or MLflow Ability to tackle ambiguous problems with structured, analytical approachesStrong verbal and written communication skills for technical and executive audiences Experience in hybrid consulting environments, balancing multiple priorities Professional-level English proficiency Nice ...

data scientists at the forefront of applied analytics at BlackRock. As part of the Aladdin Financial Engineering (AFE) division, PAG develops and deploys advanced analytical solutions that integrate Aladdins technology platform, financial models, and data to solve complex, real-world investment challenges. These solutions are used by portfolio managers … Business to deliver solutions across the investment lifecycle, including fundraising, portfolio construction, deal due diligence and portfolio monitoring. The focus is on translating complex analytical capabilities into intuitive solutions across private markets, with a particular emphasis on private credit. Examples include cash flow forecasting, liquidity modelling, portfolio risk ...

delivery team supporting an established global consumer goods business. The working environment is collaborative and fast-moving, with the opportunity to contribute to how analytical models, processes and products are developed. The consultancy places significant value on attitude and personality. They are looking for someone who is approachable, proactive … able to build trusted relationships with technical and non-technical stakeholders. The role You will work across the full analytical lifecycle, including: Working with stakeholders across Sales, Operations and Distribution to understand their challenges. Turning loosely defined business problems into clear analytical plans. Identifying, acquiring and assessing ...

predictive analytics to drive technology decisions. Your work will support due diligence, market analysis, competitive intelligence, and strategic roadmap development through sophisticated modelling, performance analysis, and forecasting. Data Analytics & Strategic Insights Create technology strategy data and AI frameworks, building advanced analytical models to support decision‐making across Liberty … visualization Essential: Full‐stack development experience with cloud technologies (GCP preferred) Essential: Strong expertise in building Gen‐AI native products and services Essential: Strong analytical and problem‐solving skills—translating complex datasets and technical findings into actionable business recommendations Essential: Excellent communication skills for presenting sophisticated analytical findings ...

drive acquisition efficiency and fuel product innovation, overseeing the full breadth of digital and non-digital channels across multiple products. You'll be the analytical voice across our Zable direct marketing initiatives. Day to day you'll be maintaining and improving our customer lifetime value (LTV) models, running experimentation … attribution models. You'll work closely with product, growth, and engineering to make sure decisions are grounded in reliable data. What You'll DoImpact & Analytical LeadershipMaintain, monitor, and refine our customer lifetime value models across products and channelsAnalyze marketing campaign performance across multiple channels and conduct analyses to identify ...

scalable reporting and analytics capabilities across the organisation. Key Responsibilities Design, develop, and maintain Workday Prism Analytics solutions. Build complex data pipelines, datasets, and analytical models within Prism. Gather requirements from business stakeholders and translate them into reporting and analytics solutions. Integrate data from multiple internal and external sources … within enterprise environments. Strong understanding of Workday Reporting, including: Advanced Reports/Matrix Reports/Composite Reports/Calculated Fields Experience loading, transforming, and modelling data within Workday Prism. Strong SQL and data analysis skills. Experience working with Workday Financials and/or Workday HCM data models. Experience gathering ...

scalable reporting and analytics capabilities across the organisation. Key Responsibilities Design, develop, and maintain Workday Prism Analytics solutions. Build complex data pipelines, datasets, and analytical models within Prism. Gather requirements from business stakeholders and translate them into reporting and analytics solutions. Integrate data from multiple internal and external sources … within enterprise environments. Strong understanding of Workday Reporting, including: Advanced Reports/Matrix Reports/Composite Reports/Calculated Fields Experience loading, transforming, and modelling data within Workday Prism. Strong SQL and data analysis skills. Experience working with Workday Financials and/or Workday HCM data models. Experience gathering ...

This includes supporting incumbent models and designing, building and deploying new state-of-the-art (SOTA) models. You will bring strong data science and modelling expertise, a delivery-focused mindset, and a structured, detail-oriented approach to solving complex tasks. You will also drive model tuning, contribute to regulatory … Partner together with stakeholders to respond to internal audit queries and manage remediation actions and findings Your skills and experience 7+ years’ experience developing analytical or machine learning models in financial services (ideally Anti-Financial Crime/Screening) Experience building Natural Language Processing (NLP)/Machine Learning (ML)/ ...

Consulting Firms. Our Energy Products practice are looking for an experienced Lead Data Products Engineer to join the team. Baringa are world leaders in modelling energy markets and using the insights generated through these models to drive change in a decarbonising energy industry. The Energy Products practice specialises … development and innovation of our analytical models and supporting technology ecosystem underpinned by our deep expertise in the energy markets. Our staff come from diverse backgrounds, based across multiple geographies, and building models that utilise highly varied data sources – everything from kilobytes of academic papers to terabytes of hourly ...

managers, engineers, deployment leads, and business stakeholders to frame use cases, define success metrics, identify required data sources, and prioritize data science solutions Communicate analytical insights, model trade-offs, uncertainty, and recommended actions clearly to technical and non-technical stakeholders, helping teams make better operational and strategic decisions. Raise … documentation, mentoring, and continuous improvement What you need to succeed at GXO: Previous experience in a data science, machine learning & advanced analytics Experience taking analytical or machine learning solutions from exploration through deployment and ongoing performance management. Strong Python and SQL skills, including experience building maintainable data science workflows ...