London, England, United Kingdom Hybrid / WFH Options
Aimpoint Digital
As a Lead Data Scientist you will: Become a trusted advisor working with clients to design end-to-end analytical solutions Work independently to solve complex data science use-cases across various industries Design and develop feature engineering pipelines, build ML & AI infrastructure, deploy models, and orchestrate advanced analytical insights Write code in SQL, Python, and Spark following More ❯
Manchester, England, United Kingdom Hybrid / WFH Options
Capgemini
experience) AWS Certified Data Analytics – Specialty (preferred) Experience with multi-cloud environments (Azure, GCP) is a plus Strong programming skills in Python, SQL, or Scala for data engineering usecases Good to have: Currently working in a major Consulting firm, and/or in industry, but having a Consulting background with proven ability to be successful in a … new analytics and AI products and services through our functional and industry communities of interest. We believe data can be a driver for a better world: we will use our AI & analytics skills to improve sustainability, address climate change and champion active inclusion We are delighted to have received the “Glassdoor Best Places to work UK’ accolade for More ❯
London, England, United Kingdom Hybrid / WFH Options
Capgemini
experience) AWS Certified Data Analytics – Specialty (preferred) Experience with multi-cloud environments (Azure, GCP) is a plus Strong programming skills in Python, SQL, or Scala for data engineering usecases Good to have: Currently working in a major Consulting firm, and/or in industry, but having a Consulting background with proven ability to be successful in a … new analytics and AI products and services through our functional and industry communities of interest. We believe data can be a driver for a better world: we will use our AI & analytics skills to improve sustainability, address climate change and champion active inclusion We are delighted to have received the “Glassdoor Best Places to work UK’ accolade for More ❯
London, England, United Kingdom Hybrid / WFH Options
FSP
SQL Database, Azure Data Lake Storage, Azure Synapse, Azure Cosmos DB, Azure Data Factory and Azure Blob storage Building conceptual, logical and physical data models optimised for analytical usecases Defining data architecture framework, standards and principles Mapping data from source to target and establishing current & future state based on business requirements Provide technical leadership and mentoring to More ❯
Basildon, England, United Kingdom Hybrid / WFH Options
Ortolan
support self-service data analytical tools Reporting and maintenance of data quality of core datasets and define improvement strategies Develop data infrastructure to support potential AI/ML use-cases Data Governance: Establishing data governance frameworks, policies, and standards Defining data ownership, stewardship, and quality management processes Implementing data management practices for data acquisition, storage, integration, and archival … regular audits and assessments to assess and mitigate data security risks In addition to the above, you will need to demonstrate a good understanding of the real-life usecases for the data to ensure activities are appropriately prioritised and any data issues or concerns that could impact decision making are identified and well communicated. You will be … field Knowledge of ITIL 4 and change management practices Proven experience designing, developing, and deploying cloud-based solutions on AWS In-depth knowledge of AWS services and their usecases, with a focus on compute, storage, networking, security, and monitoring Proficiency in programming languages such as Python, Java, or Node.js, and experience with serverless computing (AWS Lambda) Hands More ❯
using statistical, algorithmic, mining and/or visualisation techniques to address complex business problems. You will be an SME on data science/ML solutions and usecase development. The successful candidate will advise the Data Scientists and Engineers on technical requirements around the model design, model architecture, model calibration, solution design, and solutions output. In addition … will be expected to leverage their expertise to train and grow Data Scientists at a range of experience levels. Responsibilities Develop prototype and proof of concept solutions making use of cutting-edge AI, machine learning and statistical approaches to solve real-world and business problems. Technically lead multiple pods of data science & engineers to develop solutions from a … harness the power of data to drive insight, optimise performance, and commercialise data opportunities. We enable financial institutions to become data-driven by helping transform their understanding, and use of data to derive value. We translate strategy into action – designing, implementing, and mobilising innovative data capabilities with a focus on efficiency and scalability, and partnering with leading vendors More ❯
problems. Work closely with the respective IT functions, particularly within the Data space (Market Data IT, Embedded IT etc). Take ownership of the technical design of new usecases and ETL jobs taking into consideration robustness, performance availability and maintainability of our strategic data platform. Your Powerful Skills Experience in ETL environment to design, implement and maintain More ❯
peer reviews and also serve as a mentor and encourage the personal development of other team members. You will drive and support the identification, development and deployment of usecases and security controls across business and security services to drive efficiency and risk reduction. Key accountabilities Develop and implement comprehensive AI/ML security strategies, policies, standards and More ❯
London, England, United Kingdom Hybrid / WFH Options
FSP Retail Team
SQL Database, Azure Data Lake Storage, Azure Synapse, Azure Cosmos DB, Azure Data Factory and Azure Blob storage. Building conceptual, logical and physical data models optimised for analytical use cases. Defining data architecture framework, standards and principles. Mapping data from source to target and establishing current & future state based on business requirements. Provide technical leadership and mentoring to More ❯
Our data engineers create pipelines that support our data scientists and power our front-end applications. This means we do data-intensive work for both OLTP and OLAP use cases. Our environments are primarily cloud-native spanning AWS, Azure and GCP, but we also work on systems running self-hosted open source services exclusively. We strive towards a More ❯
the business requirements ensuring they are clear, complete and aligned with business objectives. Conduct interviews, workshops and meetings to understand and analyse business processes, needs and pain points. Use various techniques such as surveys, data analysis and process modelling to identify opportunities for process improvement. Lead, analyse, identify, design, prioritise and implement process and business changes to improve … business and operations and services. Documentation Create detailed business requirements, user stories, usecases and functional specifications to communicate the requirements to the development team and other stakeholders. Maintain clear and concise documentation through the project lifecycle and update as necessary based on changes or additional insights. Lead, analyse, identify, design, prioritise and implement process and business changes … model, partner and mentor to project teams and clients. Results-focused with strong business acumen combined with analytical and structured thinking. Consulting skills, including: team facilitation, conflict management, business case development. Ability to work in high pressure, rapidly changing environment whilst dealing with ambiguity and divergent opinions. Additional Information In applying for a role with Hitachi Solutions Europe Limited More ❯
countries on 6 continents. Roles & Responsibilities Implementing and maintaining solutions leveraging Azure-based cloud architecture; Maintaining solutions based on the traditional MS stack; Eliciting business requirements from usecases; Root cause analysis for raised issues, and delivering the resolution; Business-facing and building strong relationships with our key stakeholders; Collaborate closely with business stakeholders to understand their insights … needs and usecases as well as collaborate with the Analytics Engineering team to elicit requirements from insights use cases. Skills & Experience 5+ years’ experience working within a data function in a London Market Insurance; Sound understanding of data warehousing concepts; Contributions to well-designed data platform and data warehouse solutions ETL/ELTs – SSIS & T More ❯
in new technologies and tools that are available for the capital markets business; performing cost - benefit analysis and recommending to senior management including Head of Information Technology on usecases Data Analysis : performing and utilising data analysis to identify trends, patterns, and insights related to business performance and operational efficiency opportunities Requirement documentation: documenting business requirement for new More ❯
to work comfortably using SQL, BI Tools (e.g. Quicksight/Tableau/PowerBI), and scripting languages (e.g. Python). Additionally, experience with designing data schemas for specific reporting usecases will be very valuable in this role. Key job responsibilities • Organization skills - demonstrated ability to work independently to make complex investigations, have self-discipline and motivation, follow best … Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally More ❯
quickly understand their greatest challenges and design and implement AI solutions. In this role, you'll apply your problem-solving ability, creativity, and technical skills to help organizations use AI to drive real impact in the world. You'll have the opportunity to gain rare insight into and contribute to some of the most important industries and institutions … level GPU stack up to infrastructure, back-end and front-end interfaces. • You'll work on deploying state-of-the-art AI applications from consumer products to industrial usecases, driving with our customers a crucial technological transformation. • You'll work in collaboration with our researchers, other AI engineers, and product engineers on our most complex customer projects More ❯
in both Agile and Waterfall methodologies Ability to elicit and document requirements using various techniques Skilled in creating Epics and User Stories using Confluence and Jira Knowledge of UseCases, Value Streams, Personas, BPMN and data modelling Excellent stakeholder management and influencing skills Flexible, agile mindset with strong problem-solving ability Our Client offers a competitive benefits package More ❯
Create & maintain data pipelines using Airflow & Snowflake as primary tools Create SQL Stored procs to perform complex transformation Understand data requirements and design optimal pipelines to fulfil the use-cases Creating logical & physical data models to ensure data integrity is maintained CI CD pipeline creation & automation using GIT & GIT Actions Tuning and optimizing data processes Qualifications Required Qualifications More ❯
Create & maintain data pipelines using Airflow & Snowflake as primary tools Create SQL Stored procs to perform complex transformation Understand data requirements and design optimal pipelines to fulfil the use-cases Creating logical & physical data models to ensure data integrity is maintained CI CD pipeline creation & automation using GIT & GIT Actions Tuning and optimizing data processes Qualifications Required Qualifications More ❯
Create & maintain data pipelines using Airflow & Snowflake as primary tools Create SQL Stored procs to perform complex transformation Understand data requirements and design optimal pipelines to fulfil the use-cases Creating logical & physical data models to ensure data integrity is maintained CI CD pipeline creation & automation using GIT & GIT Actions Tuning and optimizing data processes Qualifications Required Qualifications More ❯
you will work closely with our public sector clients and project teams to develop and implement data engineering pipelines to support data science and business/mission intelligence use cases. Key Responsibilities Assessing your clients' technical needs and understanding how their needs are different to wants and managing clients' stakeholders relationship appropriately Identifying data sources, data extraction, transformation More ❯
good analytical problem solving skills and soft skills to communicate and collaborate with various teams Ability to deliver end to end, such as gather requirements, conduct analysis, Implement usecases, test and deploy to production in an agile environment Interest in expanding IT Operations in Endur and introduce best practises and DevOps Advantageous, but not a must Functional More ❯
Manchester, England, United Kingdom Hybrid / WFH Options
Infoplus Technologies UK Limited
playbooks (Logic Apps). - Enhance response efficiency by developing SOAR integrations across security tooling. Documentation & Reporting - Produce comprehensive incident reports and root cause analyses. - Maintain technical documentation for usecases, configurations, response procedures, and data source onboarding. - Generate regular dashboards and reports for SOC leadership and compliance stakeholders. Essential Skills/knowledge/experience: - Bachelor’s degree in More ❯
identify suspicious activity. Security Tool Management: Manage and optimise SIEM tools, ensuring they are properly configured and updated to maximize effectiveness. Own the development and implementation of SOC UseCases Evaluate new security technologies and recommend enhancements to the security infrastructure. Collaboration: Collaborate with cross-functional teams, including IT, legal, and management, to address security incidents and implement More ❯
Enhancement: Design and oversee the implementation of the PDP 2.0 Tech stack. Design and oversee data architecture to harmonise external, internal and Microsoft Graph data to deliver AI usecases Champion engineering standards and ensure new engineers' quick integration and productivity. Lead engineering problem solving and provide technical guidance to squad engineers. Foster a component based delivery approach More ❯
London, England, United Kingdom Hybrid / WFH Options
Aldermore Bank PLC
within our Chief Data Office, you'll play a key role in taking our data and technology strategy to the next level by enabling our cloud services for use across all our business use cases. In this specialist role you'll work closely with both data delivery and data science teams to enable AWS and Azure … by the various programmes. You'll support with the setup, maintenance and enhancement of data lab environments and the enablement of new tooling for data science and other use cases. You'll also be empowered to support in the automated deployment and maintenance of data science and other cloud native functionality through dev to production environments What will … your day look like? • Design and Deliver cloud based platforms on both AWS and Azure • Own and drive the enablement of data lab environment(s) for use in data science, enabling new tooling as required by the team • Management and promotion of data science models to higher environments • Deployment and maintenance of wider cloud services for foundational capabilities More ❯