1 to 12 of 12 Permanent Data Science Jobs in Scotland with Remote Work Options

ContentsLocationAbout the jobBenefitsThings you need to knowApply and further informationLocationCardiff, Glasgow, LondonAbout the jobJob summaryAre you ready to become the data expert for a team that’s at the forefront of shaping the future of energy markets? If you’re passionate about data science and analytics, and … you’re looking for a role where your work will have a real impact, then keep reading! The Wholesale Market Intelligence and Data team is on a mission to illuminate the complexities of the gas and electricity markets. By managing and analysing a vast array of data, from … the openly accessible to the highly confidential, we provide critical insights that drive policy and enforcement in the energy sector. As our new data expert, you’ll wield your experience, extracting valuable insights from diverse datasets. You won’t be working alone; you’ll join forces with subject matter more »

Job Title: Data Engineer Location: Edinburgh, Scotland (Hybrid) - All employees must be eligible to work without sponsorship Salary: £50,000 - £70,000 The Role: Design and develop ETL processes Design, build and maintain end-to-end data pipelines Identify, root cause analysis, and fix incidents related to data management Manage company data, monitor accuracy and completeness, and advise ways that data quality can be improved Routinely provide status updates to colleagues and stakeholder groups Data Engineer Requirements: Hands-on experience with SQL database design Experience writing automated tests for data pipelines Technical expertise … with data models, data mining, and segmentation techniques Knowledge of programming languages (e.g. Python, R) Data Engineer Desirable's: Proven experience of Azure Services Knowledge of Data bricks and Jupyter notebooks Experience in data science and Machine learning models Azure | SQL | ETL | Data more »

Job Title: Technical Lead Data Engineer Location: Edinburgh, Scotland (Hybrid) - All employees must be eligible to work without sponsorship Salary: £70,000 - £85,000 The Role: Lead the Data team to deliver ETL processes, build and maintain data pipelines, enhance scalability, performance, maintainability, configurability and usability Be … involved in the entire life-cycle of the Data Strategy, including idea creation, deployment, and longer term updates and enhancements Support the product and Software Development Managers in prioritisation, scoping and leading delivery of Data Strategy features in the exciting world of Future State Architecture Manage company data, monitor accuracy and completeness, and advise ways that data quality can be improved Able to zero-in on bugs without looking at the code Technical Lead Data Engineer Requirements: Good SQL and NoSQL experience Expert-level ability in TSQL development Integrations utilising a range of REST APIs more »

Data Engineer 6 Month Contract Location: Edinburgh (Hybrid) Via Umbrella Our Edinburgh based leading Life and Pensions firm require a Data Engineer to help support them on an exciting project for an initial 6 months contract. Cloud and Data Engineer - Join one of the UK's top … employers in a growing, rewarding and exciting area of our business. Help build our Data Office team to develop advanced analytics, data science & AI solutions to solve business problems in a customer obsessed environment. Help Facilitate EDM (Enterprise Data Model) building in Azure Pull together all … of the separate entities data and put them into one place SQL/Python experience Must have experience in Azure Databricks Exposure to testing Understand the data lifecycle Data Analysis/Engineering experience Exposure to data modelling – nice to have Power BI – nice to have If more »

with a firm-wide remit to seek strategic business challenges for the firm by bringing to bear our expertise in machine learning, artificial intelligence, data science and optimization. Our mission is to combine human and machine intelligence to redefine asset management. We are a hybrid research and product … productionalized solutions that are reliable, scalable, and operate in compliance with firm-wide processes. Qualifications Either a PhD in a quantitative subject area (computer science, mathematics, statistics, economics, physics, engineering, or related field) with 3+ years of professional experiences or An MS degree in a quantitative field plus 5+ … years of professional experience in optimization, machine learning, statistics, exploratory data analysis, and other aspects of the data science process Strong familiarity with programming languages such as Python, Julia, or R. Prefer Python as it is the language for most of the projects. The candidates would expect more »

of our award-winning team at Sparta Global. About the Job You'll become versatile in a wide array of tools across topics covering data focused coding, data visualisation, Cloud Services, Big Data and Machine learning. You will be equipped to work within a variety of roles … including but not limited to; Data Engineer, Data Analyst, Data Scientist, Information Engineer. You'll be designing, building, maintaining, and troubleshooting the data pipelines that enable organizations to store, process, and analyse their data, and ensuring the data is reliable through testing and debugging. … Looking for efficiencies and optimising the data pipelines for scalability and performance will be a focus. You'll be handling and working with large sets of structured and unstructured data and will be responsible for ensuring that the data is organized and available for data scientists more »

of our award-winning team at Sparta Global. About this role You'll become versatile in a wide array of tools across topics covering data focused coding, data visualisation, Cloud Services, Big Data and Machine learning. You will be equipped to work within a variety of roles … including but not limited to; Data Engineer, Data Analyst, Data Scientist, Information Engineer. You'll be designing, building, maintaining, and troubleshooting the data pipelines that enable organizations to store, process, and analyse their data, and ensuring the data is reliable through testing and debugging. … Looking for efficiencies and optimising the data pipelines for scalability and performance will be a focus. You'll be handling and working with large sets of structured and unstructured data and will be responsible for ensuring that the data is organized and available for further analysis and more »

and to help clients realize the objectives they desire. 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. Our mission is to combine human and machine intelligence to revolutionize asset management. We are a hybrid research and product team and have a responsibility … practices. Stay abreast of emerging technologies and propose changes to the existing tech stack as needed. Qualifications A bachelors or master’s in computer science or similar software engineering focused major. 7+ years of professional experience designing and implementing full stack applications, with a significant portion involving project leadership. more »

Software Engineer UK Remote This leading, remote-first healthcare data science/bio-informatics client have put everything in place to ensure their culture and environment at the very least matches, and in many areas exceeds, their competitors. Innovation isnt just about technology and product its about listening … they have one of the best Glassdoor profiles going, can demonstrate extraordinary staff retention and longevity, andare responsible for one of Europes most innovative data science healthcare platforms. Their Azure-hosted machine learning platform fosters R+D and collaboration between people from all areas of healthcare, across the globe. more »

The AI Labs team works collaboratively; and is a multi-disciplinary team with the following skills and capabilities: optimization, machine learning, statistical modeling, exploratory data analysis, natural language processing, data visualization, network/graph modeling, ETL, data pipelines, data architecture, communication, project/product management and … strategy. We work with data from a wide variety of sources including text, news feeds, financial reports, time series transactions, user behavior logs, imagery, and real-time data. AI Labs has offices in New York, Palo Alto, and Edinburgh. The team has several Stanford professors as senior advisors with … to enable the rapid delivery of machine learning products to production environments Continuously improve existing products, tools, and services, by maintaining close relationships with data scientists, researchers, and other BlackRock users Write quality maintainable code that is comprehensively tested and fit for the intended objective Provide ongoing maintenance and more »

to continually improve solution offerings. Provide expertise and guidance on AI best practices, contributing to the organisation's AI strategy and innovation efforts. Conduct data analysis and feature engineering to prepare data for use in AI models, utilising Azure Data LakeDevelop robust testing and validation processes to … Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks desirableSolid background in machine learning algorithms, data preprocessing, feature engineering, and model evaluation. Experience with deep learning frameworks like TensorFlow or PyTorch is desirable.Proficiency in handling large datasets, experience with Azure … Data Factory, Azure SQL Database, and Cosmos DB.Understanding of CI/CD pipelines, containerisation (Docker, Kubernetes), implementing MLOps practices using Azure DevOps. Azure Cloud services relevant to AI, such as Azure Kubernetes Service (AKS), Azure GPU VMs, and Azure networking and security services tailored for AI applications.Qualifications:Degree in more »

designs, Communicate and document designs, implementation plans, and business models, Creative approach while using appropriate design patterns, Design and document API level specifications and Data Models, Interact with client IT and Business teams to address technical dependencies and deployment of solutions, Resolve technical issues and identify risks by building … entrepreneurial skills, We’re an international company, delivering global and local projects We offer end-to-end engagement: from innovation (ideation) workshops to UX, data science, and architecture to cloud-native and mobile development. We are also an AWS Advanced Consulting Partner, We drive innovation for our clients more »