Edinburgh, Scotland, United Kingdom Hybrid / WFH Options
BlackRock, Inc
and to help clients realize the objectives they desire. BlackRock manages ~$10+ trillion in assets on behalf of investors worldwide. As such, there is a rich problem space for data scientists and engineers across all areas of the business including investments, sales, marketing, operations, product, UX, etc. and the potential to have large scale impact. In 2018 BlackRock accelerated … innovation and technology again with additional investment in artificial intelligence and data science and all the potential they represent. The AI Labs was formed to act as a central hub with a firm-wide remit to solve strategic business challenges for the firm by bringing to bear our expertise in machine learning, artificial intelligence, data science and optimization. … with a history of demonstrating machine learning at BlackRock to create alpha, the goal was to apply these same techniques throughout the business. The team has grown to 75+ data scientists and engineers. Working collaboratively, the team is multi-disciplinary with the following skills and capabilities: machine learning, optimization, statistical modeling, signal detection, natural language processing, data visualization More ❯
Edinburgh, Scotland, United Kingdom Hybrid / WFH Options
Motability Operations Ltd
Join to apply for the Lead Data Engineer role at Motability Operations Ltd 4 days ago Be among the first 25 applicants Join to apply for the Lead Data Engineer role at Motability Operations Ltd Continuing Defleet’s data led journey and recognising the importance the Data & Analytics team performs in this regard, we are looking … for a skilled Lead Data Engineer who is passionate about exploiting data and searching for improvements in our existing processes and technology; can work closely with business teams; drives solutions with a focused mentality on business value and can lead, influence and drive collaboration across teams and stakeholders. It will focus on expanding the existing mission critical ecosystem … of Data and BI systems for analytics and decision making, using Primarily Data Warehouse/Mart, Data Lake, Self Service BI Tools and Data Science/ML platform using Oracle, Snowflake and AWS tech stack. About You We are looking for a skilled Lead Data Engineer who: Personal Attributes Self-starter with initiative and enthusiasm More ❯
Join to apply for the Data Architect (Data & Analytics) role at GE Vernova . Get AI-powered advice on this job and more exclusive features. Job Description Summary GE Vernova is the leading software provider for the operations of national and regional electricity grids worldwide. Our software solutions support electricity markets, enable grid and network planning, and facilitate … real-time electricity grid operations. Data & AI are central to our ongoing digital transformation, shaping the future of grid operation, clean energy initiatives, and AI-driven customer experiences. Job Description As a Data Architect (Data and Analytics) specializing in electric utilities, you will define and implement solutions leveraging the GridOS Data Fabric, the grid data management layer of GE Vernova’s GridOS Platform. You will collaborate with clients to understand their needs, translate them into technical requirements, and design scalable, efficient data architectures. Your role involves working with cross-functional teams to ensure seamless data flow, enhancing decision-making and operational efficiency. Key Responsibilities Solution Design and Architecture: Work with utility clients More ❯
Description As a Data Solutions Architect you'll work closely with key stakeholders to map out their data/insights requirements and develop roadmaps and design architecture which you'll communicate effectively to the project teams, implementation teams and end-users - leading top quality solutions design and delivery. Requirements Strong experience as a Cloud data architect Skilled … one or more of the following architectural frameworks (TOGAF, ZACHMAN, FEAF) Cloud Experience: AWS or GCP preferred, particularly around migrations and cloud architecture Good technical knowledge and understanding of bigdata frameworks like Hadoop, Cloudera etc. Deep technical knowledge of database development, design and migration Experience of deployment in cloud using Terraform or CloudFormation Automation or Scripting experience … using languages such as Python & Bash etc. ETL and workflow management knowledge Experience of Agile methodologies Experience in the Financial Services Sector Data Engineering or Data Science experience Job responsibilities Interface with client project sponsors to gather, assess and interpret client needs and requirements. Define architecture vision, roadmaps and strategy while engaging relevant stakeholders to execute. Work across More ❯
Edinburgh, Midlothian, Scotland, United Kingdom Hybrid / WFH Options
Motability Operations
Description Continuing Defleet's data led journey and recognising the importance the Data & Analytics team performs in this regard, we are looking for a skilled Lead Data Engineer who is passionate about exploiting data and searching for improvements in our existing processes and technology; can work closely with business teams; drives solutions with a focused mentality … on business value and can lead, influence and drive collaboration across teams and stakeholders. It will focus on expanding the existing mission critical ecosystem of Data and BI systems for analytics and decision making, using Primarily Data Warehouse/Mart, Data Lake, Self Service BI Tools and Data Science/ML platform using Oracle, Snowflake and … AWS tech stack. Qualifications We are looking for a skilled Lead Data Engineer who: Personal Attributes: Self-starter with initiative and enthusiasm Thrives at solving problems with minimal or no direction and developing their own solution Looks at the existing tech landscape and identifies improvements without prompting Desire and ability to continuously learn new technologies and practices and learn More ❯
Employment Type: Permanent, Part Time, Work From Home
Mile Science Are you passionate about solving complex logistics challenges that directly impact millions of customers? Our Logistics Analytics team is at the forefront of revolutionizing delivery experiences through data-driven solutions and innovative technology. As a Senior Applied Scientist, you will join a team dedicated to optimizing our delivery network, ensuring customers receive their packages reliably and efficiently. … drive impactful projects, implement advanced scheduling solutions, and develop scalable processes. In this role, you will have immediate ownership of business-critical challenges and the opportunity to make strategic, data-driven decisions that shape the future of last-mile delivery. Your work will directly influence customer experience and operational excellence. The ideal candidate will possess both research science capabilities … comfort with ambiguity. This role offers the opportunity to make a significant impact on one of the world's most sophisticated logistics networks while working with pioneering technology and data science applications. About the team Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so More ❯
Edinburgh, Scotland, United Kingdom Hybrid / WFH Options
In Technology Group
Job Title: Data Engineer Location: Edinburgh, UK About Us: Join one of the leading utilities companies in Edinburgh, driving innovation through data! We are looking for a skilled Data Engineer to support our data infrastructure and empower our teams with reliable and efficient data solutions. If you’re passionate about building robust data pipelines … and transforming raw data into valuable insights, we want you on our team! Key Responsibilities: Design, develop, and maintain scalable data pipelines and ETL processes. Collaborate with data analysts and stakeholders to understand data requirements. Ensure data integrity, security, and compliance with industry standards. Optimize data architectures for performance and scalability. Monitor and maintain … data systems to ensure high availability. Key Requirements: Proven experience as a Data Engineer or similar role. Proficiency in SQL, Python, or other data processing languages. Experience with cloud platforms (e.g., Azure, AWS, or Google Cloud). Knowledge of data warehousing concepts and bigdata technologies. Strong problem-solving skills and attention to detail. More ❯
Edinburgh, Scotland, United Kingdom Hybrid / WFH Options
Client Server
for a successful and growing technology company, helping to build a large-scale video platform on the Amazon Web Services Cloud. The core product allows business users to capture data via integrated mobile services utilising video analytics and speech recognition to analyse and categorise information within the workflows of large field workforces (field engineers, field service, auditing, reporting, health … You are experienced with web API architecture e.g. REST APIs You have experience of working on SaaS products with Amazon Web Services (AWS), CloudFormation, Terraform You are familiar with bigdata and analytics, machine learning, computer vision and AI algorithms You're a collaborative problem solver You are degree educated in Computer Science or similar technical discipline Experience More ❯
Lead Data Scientist Department: Technology Employment Type: Full Time Location: Edinburgh, Scotland Compensation: GBP 80,000 - GBP 100,000/year Description We have an exciting opportunity for an experienced Lead Data Scientist to join our business as we continue to scale. The Lead Data Scientist will drive the development of predictive models and data-driven … learn more about us. You'll spend your time: Building and deploying machine learning models for energy forecasting and system optimization Working closely with engineers and mathematicians to validate data-driven models Designing and implementing real-time analytics for monitoring grid stability Developing algorithms for energy market interactions, including bidding strategies Ensuring data quality and integrity for accurate … model outputs The key experience we're looking for: A degree in Data Science, Computer Science, or a related field 5+ years of experience in applied data science and machine learning Proficiency in Python, TensorFlow/PyTorch, and data visualization tools, bigdata Frameworks, GCP/Azure Very strong background in time-series analysis and More ❯
trust and saves them hundreds of millions of dollars of wasted spend. We are looking for a dynamic, innovative and accomplished applied sciences manager to lead machine learning and data science for the Advertising Traffic Quality vertical. Are you excited by the prospect of analyzing terabytes of data and leveraging state-of-the-art data science and … end business problems/metrics and directly impact the profitability of the company? As an applied sciences manager for Traffic Quality, you will lead a team of applied scientists, data scientists and engineers to deliver to conceptualize and build algorithms that efficiently detect and filter invalid traffic. You will be the single-threaded owner of the algorithms that go … on state-of-the-art modeling techniques, as well as generating insights that fuel critical investments. You will also lead an engineering team that works on handling terabyte scale data and implementing features and algorithms that process billions of events per day. You will interface with product managers and operations teams to bring key advertising initiatives to customers. Your More ❯
the customers in operations and within the team, while owning deliverables end-to-end is expected. Critical to the success of this role is your ability to work with bigdata, contribute to the building of solutions both in terms of back- & frontend, develop insightful analysis, communicate findings in a clear and compelling way and work effectively as … managers and partner with Operations, Finance, Technology, Change Management and Customer Experience teams in understanding the business requirements and implementing solutions to support analytics and reports. • Conduct ad hoc data analysis and data quality investigations. • Implement training and documentation solutions that enables stakeholders to get the most out of our tools. • Develop and support the analytical technologies that … success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. 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. More ❯
for a career in Cloud Computing. Increased earning potential and job security. Flexible working opportunities within the industry. Platform to enter other career paths including Cyber Security, Artificial Intelligence, BigData, Machine Learning, Cloud Security, Data Analytics, Networking, and DevOps. More ❯
for a career in Cloud Computing. Increased earning potential and job security. Flexible working opportunities within the industry. Platform to enter other career paths including Cyber Security, Artificial Intelligence, BigData, Machine Learning, Cloud Security, Data Analytics, Networking, and DevOps. More ❯
transformation across Stantec and our clients within the Water sector. You will be part of a customer- and user-focused team, championing new digital workflows and integrating technology and data into our services and solutions. As a Geospatial Consultant within our team, you will play a pivotal role in helping clients make smarter, data-driven decisions by leveraging … of location-based data. You will be involved in projects that look to develop and apply our range of digital offerings across a variety of projects - whether this be data visualisation, multi-criteria analysis, automation and efficiency, or best practice data management. You will drive insights from bigdata to enable proactive management of assets and … client-facing work. You will have a strong proficiency with GIS platforms such as Esri ArcGIS Suite, QGIS, ArcGIS Online or ArcGIS Enterprise. You will have experience in geospatial data processing and data transformation using tools like Python, SQL, ModelBuilder or FME. You will be aware of data management and best practices and demonstrate an innovative and More ❯