Wood Mackenzie is the global data and analytics business for the renewables, energy, and natural resources industries. Enhanced by technology. Enriched by human intelligence. In an ever-changing world, companies and governments need reliable and actionable insight to lead the transition to a sustainable future. That's why we cover the entire supply chain with unparalleled breadth and depth … to trust each other Customer committed - we put customers at the heart of our decisions Future Focused - we accelerate change Curious - we turn knowledge into action Role Purpose The Data Analyst will play a key role in advancing forecasting and modelling efforts by managing, analysing, and optimising large datasets across renewable, conventional, and storage assets globally. Working on asset … revenue forecasting, power dispatch modelling, or power markets data, the analyst will focus on automating workflows, ensuring data quality, and delivering actionable insights through close collaboration with research, engineering, and product teams. This role contributes directly to improving forecasting accuracy and enhancing the company's global asset performance and revenue strategies. Responsibilities Knowledge Structures poorly defined problems, gathers More ❯
Data Engineering Analyst at N Consulting Ltd Duration: Contract About Us: We're seeking a skilled Data Engineering Analyst to join our team. You'll play a key role in designing, building, and maintaining our data infrastructure, ensuring seamless data flow and insightful analytics. Key Responsibilities: Design, develop, and maintain data pipelines using Google Cloud … Platform (GCP) services like BigQuery, Cloud Storage, and Cloud Dataflow. Develop and maintain reports, dashboards, and visualizations using Power BI, ensuring data-driven insights for business stakeholders. Write efficient and scalable Python code for data processing, transformation, and analysis. Collaborate with cross-functional teams to identify data requirements, develop data solutions. Troubleshoot data-related issues … and optimize data systems for performance and scalability. Requirements: 5+ years of experience in data engineering, dataanalysis, or a related field. Strong experience with Google Cloud Platform (GCP) services, particularly BigQuery, Cloud Storage, and Cloud Dataflow. Proficient in Power BI for data visualization and reporting. Strong programming skills in Python, with experience in dataMore ❯
Social network you want to login/join with: Lead Data Scientist (Equity Only) - 1%, edinburgh col-narrow-left Client: Location: edinburgh, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 Posted: 16.06.2025 Expiry Date: 31.07.2025 col-wide Job Description: Lead Data scientist - Equity-Only role 1% About Luupli Luupli is … from marginalized communities. Luupli will highlight the work of diverse creators and provide them access to all the opportunities in the social media space. Job Description: As a Lead Data Scientist at Luupli, you will play a pivotal role in leveraging AWS analytics services to analyse and extract valuable insights from our data sources. You will collaborate with … cross-functional teams, including data engineers, product managers, and business stakeholders, to develop data-driven solutions and deliver actionable recommendations. Your expertise in AWS analytics tools and techniques will be crucial in shaping our data strategy and driving business growth. Responsibilities: Collaborate with cross-functional teams to understand business objectives, identify data requirements, and define analytics More ❯
and rewarding for everyone. Get to Know ourTeam: The Marketing Innovations Team at Agoda identifies & develops new marketing channels that have high growth potential. This department is highly creative, data-driven and focused on developing at-scale marketing programs that ensure Agoda’s leadership in the new & emerging channels. The team is a blend of the best analysts, marketing … strategists, and data scientists in the world. The marketing leadership at Agoda have deep experience in data science, product, strategy, and other marketing fields and have built an organization that thrives on data, creative ideas, and technology. The Marketing Innovations Team also fosters a great learning environment. You will be able to learn and grow by working … all over the world. In this role, you’ll getto: Spearhead the development, execution, and optimization strategy for growing Agoda's new & emerging marketing channels Conduct end-to-end analysis of large, complex datasets related to channel performance, user behavior, and market trends, translating raw data into actionable insights Develop hypotheses, design experiments (e.g., A/B tests More ❯
Edinburgh, Scotland, United Kingdom Hybrid / WFH Options
Stellar Omada
Data and Reporting Lead Edinburgh, Scotland £48000 Onsite - Edinburgh (occasional working from home/mostly onsite) About the Role: We are seeking a skilled and experienced Data and Reporting Lead for a prestigious organisation in Edinburgh. In this role, you will be responsible for managing and overseeing data systems and reporting processes. You will play a crucial … role in ensuring data integrity, developing and maintaining data reporting tools, and providing insights to support decision-making. Key Responsibilities: Oversee the collection, storage, and management of data across the company, ensuring data accuracy, integrity, and security. Develop and maintain data models, reporting tools, and dashboards to provide insights to leadership and other stakeholders. Analyse … data to identify trends, patterns, and insights that can inform decision-making and provide recommendations based on data analysis. Collaborate with different departments to understand their data needs and provide support. Provide training and support to staff on data-related tools and processes. Ensure compliance with data protection regulations and policies. Develop and implement dataMore ❯
Salary: £35,000 - £50,000, depending on experience Location: Edinburgh, remote with occasional in-person sessio ns Reports to: Head of Data & AI Introducing hyble! Things move quickly at hyble! We're a team of passionate individuals who love what we do and are always striving for the best. If you're looking for a company that values your … suppliers. If this resonates with you, then read on to discover more about the role you could play in our journey. What you'll do As a Mid-Level Data Analyst at Hyble, you will play a critical role in our journey to leverage data for genuine product and business insights, moving significantly beyond basic commercial and performance … dashboards. You will have the unique opportunity to work with and creatively apply data from our new, integrated MS Fabric data platform, exploring rich datasets from various sources to uncover meaningful patterns and trends. Your core focus will be conducting deep-dive analysis into product usage, customer behaviour, market trends, and business performance, translating complex questions into More ❯
Edinburgh, Scotland, United Kingdom Hybrid / WFH Options
RPS Group
Social network you want to login/join with: Data Analyst - Water Asset Management, Edinburgh col-narrow-left Client: RPS Group Location: Edinburgh, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Reference: e5757686a3ae Job Views: 14 Posted: 22.06.2025 Expiry Date: 06.08.2025 col-wide Job Description: Data Analyst - Water Asset Management The RPS … Water Consultancy business is currently looking to appoint aData Analyst. Our Data Analysts work within our team to provide specific data management support on water and/or wastewater projects to drive increased intelligence for internal and/or external benefit, enhance data driven insights and processes. This will require the ability to increase situational awareness for … our clients, building actionable insights to support their strategic objectives. About The Team: RPS Water Consulting is a team of Engineers, Modellers, and Data Analysts providing Asset Management and Operational Strategy development, to our Water Industry clients to support business planning and delivery. This is an evolving industry, providing challenges and opportunities that require innovation, dedication, and teamwork to More ❯
Product team to build the tools to execute and monitor pricing actions and to improve price display across all channels Work with the Market Development team to collect benchmarking data and intelligence from local markets, and to respond to moves from competitors and hotel partners Design and deploy pricing campaigns, balancing short term financial goals with the longer term … this role Experience in articulating strategic issues and negotiating with C-level executives - experience in leading strategy consulting projects a plus Excellent analytical skills - you really need to love data for this role Ability to foster cooperation across teams and across nationalities People management - track record of hiring and developing stars P&L management Entrepreneurial spirit, get-things-done … attitude Exposure to IT and Product Development data representation dataanalysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java Equal Opportunity Employer At Agoda, we More ❯
Product team to build the tools to execute and monitor pricing actions and to improve price display across all channels Work with the Market Development team to collect benchmarking data and intelligence from local markets, and to respond to moves from competitors and hotel partners Design and deploy pricing campaigns, balancing short term financial goals with the longer term … this role Experience in articulating strategic issues and negotiating with C-level executives – experience in leading strategy consulting projects a plus Excellent analytical skills – you really need to love data for this role Ability to foster cooperation across teams and across nationalities People management – track record of hiring and developing stars P&L management Entrepreneurial spirit, get-things-done … #manchester #liverpool #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation dataanalysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases More ❯
Banking & Capital Markets Risk Tech , Manager, Technology Consulting FS role at EY Get AI-powered advice on this job and more exclusive features. Our UK Capital Markets technology and data capability helps our investment banking clients to deliver complex business and regulatory transformation, enabled by technology. The opportunity EY has a market leading Risk practice which requires a strong … data and technology focus to deliver strategic future proof solutions with a control and efficiency lens. This presents an opportunity for Technology Consulting to support our clients in helping them to articulate their technology and data strategy and implement their transformations by harnessing the power of their data, identifying business enabling technology tools and capabilities and streamlining … relation to long term sustainability and the drive to help financial services become a low carbon industry. We are already advising clients on sustainability and the enabling role that data and technology play. We are looking for Risk Technology Managers to join our team due to high demand and expected growth. Do you want to engage your mind? Then More ❯
Social network you want to login/join with: Location: Remote (UK-based) with occasional client site visits This position sits within the Solution Consulting function of a data-focused consultancy, supporting the delivery of data projects across a range of strategic clients. The role involves working both remotely and on-site to lead analysis efforts and … engage with business stakeholders to define and document data-driven requirements. Key Responsibilities: - Lead business and dataanalysis activities across multiple clients. - Gather, analyse, and document requirements for data pipelines, system migrations, and reporting needs. - Work closely with both client stakeholders and internal engineering teams to ensure accurate and actionable specifications. - Facilitate workshops and discovery sessions … to identify business and data requirements. - Support the development and curation of business glossaries and manage associated processes. - Maintain up-to-date specifications and advocate for solutions that drive client value. Key Experience & Skills: - 5+ years in a business/data analyst role, ideally in a consultancy or commercial setting. - Strong analytical, problem-solving, and communication skills. - Experience More ❯
Edinburgh, Scotland, United Kingdom Hybrid / WFH Options
Deloitte LLP
Location: Birmingham, Bristol, Cambridge, Cardiff, Edinburgh, Gatwick, Glasgow, Leeds, Liverpool, Manchester, Milton Keynes, Newcastle, Reading, Southampton Business Line: Enabling Functions Date published: 28-May-2025 Job Title: Data Analyst/Technical Business Analyst Connect to your Industry: Do you enjoy being the “voice of the business" ensuring that our technology teams deliver solutions that meet business needs? If so … this opportunity is for you! Deloitte is looking for a mid-level Data Analyst/Technical Business Analyst to join its talented Business Change & Analysis team. Connect to your career at Deloitte: Deloitte drives progress. Using our expertise, we help clients become leaders. We invest in outstanding people, build diverse teams, and empower them to achieve more. Our … inclusion, and collaborate for impact. These values influence every decision and action, helping us deliver meaningful impact. Connect to your opportunity: Be part of the evolution of our Business Analysis practice. Work with stakeholders across the firm, using traditional and innovative tools to enable positive transformation. Industry experience is welcomed but not required. Your role involves ensuring solutions meet More ❯
Edinburgh, Scotland, United Kingdom Hybrid / WFH Options
Mindrift
and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in DataAnalysis, you'll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Triple-check some delivery data and ensure client … refining model responses, you'll help shape the future of AI while ensuring technology benefits everyone. Requirements You have a Bachelor's degree in Statistics, Computer Science, Information Systems, Data Science, Mathematics You have at least 3 years of professional experience in DataAnalysis You have experience with prompt engineering (basic to intermediate level) and have Basic … to-Intermediate Python Scripting and SQL understanding You are proficient in spreadsheet tools such as Google Sheets, Excel You have experience with interpreting data visualization & reporting (e.g., dashboards) You have a strong command of taxonomy and classification design Your level of English is advanced (C1) or above You are ready to learn new methods, able to switch between tasks More ❯
at juggling multiple projects and priorities with finesse. A knack for thriving in a fast-paced, innovation-driven environment, where adaptability is key. Strong analytical and quantitative skills, leveraging data and metrics to inform strategic decisions. Clear and compelling communication skills, capable of articulating data insights to diverse stakeholders. If you're ready to challenge the status quo … across business areas required for launch of the new initiative Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. Ensure data accuracy by validating data for new and existing tools. Apply data mining and quantitative analysis to understand ways to improve our content selection for customers Perform … both ad-hoc and strategic data analyses Build various data visualizations to tell the story and let the data speak for itself Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation Build automation to reduce dependencies on manual data pulls etc. Minimum Requirements: 3+ years More ❯
complex business processes and suggest alternative solutions and innovative approaches. Assess the feasibility of solutions and collaborate with stakeholders to ensure what's proposed meets business needs. Carry out dataanalysis by identifying sources, gap analysis, requirements for migration and integration to new or existing systems. Drive evaluation of complex workflows and processes through advanced visualization and More ❯
Wood Mackenzie is the global data and analytics business for the renewables, energy, and natural resources industries. Enhanced by technology. Enriched by human intelligence. In an ever-changing world, companies and governments need reliable and actionable insight to lead the transition to a sustainable future. That's why we cover the entire supply chain with unparalleled breadth and depth … into action Key responsibilities Ownership of Enterprise Master Datasets (EMD) Liaise with SMEs and conduct research to build and provide business knowledge for the EMD owned Collaborate with segment data owners to understand: Value of creating an EMD Content and structure requirements of EMD Understanding of existing data sources and systems Design data models for EMD Define … tasks and groom backlog for EMDM Data Stewards to prepare data to populate EMD Collaborate with Data Engineers to design data pipelines, storage, and surfacing of data Define business logic to be included in data pipelines and surfacing of data Use influencing and project management skills to maximise adoption of EMD Create documentation More ❯
Join to apply for the Principal Data Scientist role at Wood Mackenzie Join to apply for the Principal Data Scientist role at Wood Mackenzie Get AI-powered advice on this job and more exclusive features. Wood Mackenzie is the global data and analytics business for the renewables, energy, and natural resources industries. Enhanced by technology. Enriched by … other Customer committed – we put customers at the heart of our decisions Future Focused – we accelerate change Curious – we turn knowledge into action Wood Mackenzie is an industry-leading data analytics company that provides analysis and insight on the world’s natural resources with a presence all around the globe. We’re working on a next generation dataanalysis & visualisation platform that enables our customers to drive billion-dollar decisions and accelerate the world's transition to a more sustainable tomorrow. We're looking for a Senior Data Scientist to join our team. This role will be working within our AI group and focus on the research, development and delivery of Generative AI solutions within More ❯
Edinburgh, Scotland, United Kingdom Hybrid / WFH Options
Lloyds Bank plc
to the Head of Digital Optimisation and Consumer Partnerships, this role is passionate about accelerating digital transformation in Pensions. You’ll be responsible for improving the digital experience through data-driven strategies, conversion rate optimisation (CRO), and innovative digital solutions. You’ll work closely with cross-functional teams to improve user engagement, streamline digital processes, and drive business growth. … to improve the pension experience for customers. Conversion Rate Optimisation (CRO): Lead CRO initiatives, including A/B testing and multivariate testing, to improve conversion rates and user engagement. DataAnalysis: Analyse digital performance data to identify trends, insights, and opportunities for optimisation. User Experience (UX) Enhancement: Collaborate with UX designers to improve the digital journey for … performance of digital initiatives, offering insights and recommendations for continuous improvement. Why Lloyds Banking Group: Like the modern Britain we serve, we’re evolving. Investing billions in our people, data and tech to transform the way we meet the ever-changing needs of our 26 million customers. We’re growing with purpose. Join us on our journey and you More ❯
actionable insights to drive business strategy. Oversee financial risk models, primarily business plan and customer profitability models as well as credit, market, operational, and liquidity risk models. Conduct scenario analysis, stress testing, and sensitivity analysis to assess and predict financial risks including input into regulatory processes/reporting. Provide regular reports and insights to senior leadership, highlighting emerging … Bloomberg, Reuters, or similar). Familiarity with accounting principles (e.g., IFRS, GAAP) and regulatory requirements (e.g., Basel III, IFRS 9). Statistical Techniques: Linear & Logistic Regression, Hypothesis Testing, Exploratory DataAnalysis, Survival Analysis, Cluster Analysis, various Statistical Tests and Cross-Validation Techniques, ML Algorithms. Proficiency in programming languages like Python, R, or MATLAB for quantitative modeling. More ❯
Data Engineer| 6 Month Contract | (Inside IR35) | Hybrid - Edinburgh | Starting ASAP Day Rate: DOE Role Overview Harvey Nash are seeking a highly skilled and experienced Data Engineer to join our team. This role is ideal for someone with a strong background in automated data processing, relational databases, and real-time data feeds using Python. You will … be responsible for designing and implementing data pipelines, developing interactive dashboards, and delivering insightful analytics to support decision-making across the University. You will collaborate closely with internal team members and stakeholders from across the University, gathering requirements, documenting specifications, and presenting your work to both technical and non-technical audiences. Key Responsibilities Design and implement automated data processing pipelines using Python. Develop and maintain relational database schemas and data models. Integrate real-time data feeds and API-based data sources. Create and manage web-based data visualisation dashboards. Collaborate with stakeholders to understand data requirements and translate them into actionable insights. Present dataanalysis and visualisations to a broad More ❯
Please note this is a training course and fees apply* Are you looking to benefit from a new career in DataAnalysis? If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst We do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis. Please note this career program is designed for entry level individuals with limited or no experience, so please do not apply if you are already an experience Data Analyst as we will be looking primarily at entry level roles. … Demand for Data Analysts has grown 20% year on year. All business decisions rely on data to ensure correct business decisions are made and therefore the role of the data analyst in the new digital world has become essential for business owners. Using our experience in providing dataanalysis and business analysis training online More ❯
feedback into the models, and iterate - Operationalize (i.e. deliver) your science solutions by closely partnering with internal customers, understand their needs/blockers and influence their roadmap - Lead complex analysis and clearly communicate results and recommendations to leadership - Act as an active member of the science community by researching, applying and publishing internally/externally the latest OR/… academia and industry BASIC QUALIFICATIONS - PhD, or a Master's degree and 5+ experience applying theoretical models in an applied environment - Experience in solving business problems through machine learning, data mining and statistical algorithms - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - 5+ years experience … written and verbal communication skills - Ability to handle ambiguity and fast-paced environment PREFERRED QUALIFICATIONS - Experience in professional software development - Reinforcement Learning - Experience with machine learning/statistical modeling dataanalysis tools and techniques, and parameters that affect their performance - Experience diving into data to discover hidden patterns and of conducting error/deviation analysis - Familiarity More ❯
Edinburgh, Scotland, United Kingdom Hybrid / WFH Options
Lloyds Banking Group
We support flexible working – click here for more information on flexible working options Flexible Working Options Hybrid Working, Job Share Job Description Summary . Job Description JOB TITLE: Senior Data Manager - Curation SALARY: £83,411 - £98,130 LOCATION(S): Edinburgh, Halifax, Leeds HOURS: Full-time WORKING PATTERN: Our work style is hybrid, which involves spending at least two days … per week, or 40% of our time, at one of our office sites. About this opportunity Risk Division is central to Lloyds Banking Group and data is a key enabler in satisfying the needs of our internal and external customers. The RDE purpose is to enable through Trusted Data. We're evolving our data & technology offering, our culture … and our attitude to create a truly data-led organisation. This role will be working closely with the Risk Platform team as we move towards our future state as you help drive how we strategically change the data experiences for the benefit of our Colleagues, Customers, and the Group. For the right candidate, this role provides the opportunity More ❯
with: Job Description: We are seeking a talented and motivated Machine Learning Engineer to join our dynamic team. The ideal candidate will have a strong background in machine learning, dataanalysis, and software development. You will be responsible for designing, developing, and deploying machine learning models to solve complex problems and improve our products. Key Responsibilities: Develop and … and maintain existing machine learning models. Stay updated with the latest trends and advancements in machine learning and AI. Requirements: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Proficiency in programming languages such as Python, R, or Java. Strong understanding of mathematics and statistics. Experience with machine learning frameworks like TensorFlow, Keras … or PyTorch. Knowledge of dataanalysis and visualization tools (e.g., Pandas, NumPy, Matplotlib). Familiarity with big data technologies (e.g., Hadoop, Spark). Excellent problem-solving skills and attention to detail. Ability to work independently and as part of a team. Preferred Qualifications: Experience with natural language processing (NLP) techniques. Knowledge of cloud platforms (e.g., AWS, Azure More ❯
our mission to delight our customers by providing capabilities, tools and mechanisms to fulfillment operations. As OPS DEA Senior SDE, you will be providing resources and expertise for our analysis (statistical approach) as well as Machine Learning products and tool development including their frontend. On top of your internal customers, you will leverage your experience and skills on projects … 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 big data, 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 part … 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 dataanalysis 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 More ❯