Data Engineer specializing in Natural Gas and Power, you will support the design, development, and optimization of advanced data infrastructure and products that support critical trading, risk, and market analytics functions. You will collaborate closely with traders, quantitative analysts, risk managers, and IT stakeholders to ensure data systems are scalable, secure, and aligned with the strategic goals of the energy … to the definition and execution of the enterprise data strategy, with a focus on Natural Gas and Power markets. Drive the development of advanced data products such as predictive analytics tools, real-time dashboards, and automated reporting systems. Expand and enrich datasets from public and proprietary sources to support market intelligence and forecasting. Evaluate and implement emerging technologies (e.g., streaming More ❯
richest transaction datasets, revolutionising financial insights and market intelligence for LBG and our customers. It's a critical role to us, as you'll drive the evolution of data analytics solutions and AI capabilities, by developing and delivering solutions that are aligned with our group technical strategy and help achieve our lab's goals and priorities. What you'll do … to make our Group a great place for everyone. Including you! What you'll need An experienced Software/Data Engineer with a recent focus on developing data and analytics solutions on cloud platform (e.g. GCP/AWS/Azure). Technical know-how in data engineering techniques which cover both batch processing and/or streaming Agile Delivery: Significant More ❯
data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while … but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role. A bachelor's degree or above in Statistics, Data Analytics and Data Science or other STEM related fields. A minimum of four years of demonstrable experience in data management concepts such as data engineering, data quality and data modeling. Demonstrable More ❯
with a talented team, using open-source tools such as R, Python, and Spark, data visualisation tools like Power BI, and Databricks data platform. Key Responsibilities: Develop and implement analytics strategies that provide actionable insights for our business and clients. Apply the scientific method to create robust, reproducible solutions Collaborate with stakeholders to understand business needs and translate them into … analysis with the data engineering team, ensuring data is modelled, transformed, and cleansed effectively. Integrate data into company-wide tools for exploration and analysis, working closely with BI analysts, analytics engineers, and data engineers. Stay ahead of industry trends by exploring new technologies, techniques, and tools, sharing knowledge internally and externally. Troubleshoot data issues to ensure seamless delivery of business More ❯
making WHAT WE ARE LOOKING FOR MSc degree in a highly analytical and quantitative discipline like Econometrics, Data Science, Statistics, Computer Science, Mathematics or Artificial Intelligence Experience in advanced analytics, data science and/or ML engineering roles A strong foundation in traditional statistical methods (e.g. regression, time series, probabilistic models), combined with a proactive mindset for exploring and applying … cutting-edge developments in ML and AI. Understanding of customer experience principles and marketing analytics including customer journey mapping, conversion optimization, and media effectiveness. Proficiency in Python with extensive experience in data science libraries (e.g.scikit-learn, pandas, NumPy, SciPy, etc) Experience with ML frameworks such as TensorFlow, PyTorch, XGBoost, LightGBM, or similar Strong SQL skills and experience with data warehousing More ❯
development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Data Scientist II, PLS Analytics Introduction to team Private Label Solutions (PLS) is the B2B arm of Expedia Group. We bring Expedia Group's innovative technology and distribution solutions to partners across the world. These … steering a focused workstream or developing innovative data products. In this role, you will: Independently extract data from multiple sources, combining them into required datasets for model building or analytics Apply probability and statistics to business problems (e.g., AB testing, causal inference), distinguishing between statistically significant results and exploratory analyses Utilize business acumen and technical knowledge to select appropriate techniques … understanding through presentations and executive summaries Work with big data, understand potential challenges and solutions, and communicate effectively with both technical and non-technical partners Collaborate with stakeholders and analytics peers to identify objectives and propose appropriate solutions, demonstrating iterative thinking and identifying next steps based on findings Experience and qualifications: Masters, or Bachelors with 4 years work experience OR More ❯
create meaningful societal change by harnessing the power of technology to drive innovation. Hands-On Impact: You'll work with cutting-edge technologies such as cybersecurity, cloud computing, data analytics, IoT, and more. Whether you're building solutions for government digital services, helping retail businesses optimise their supply chains, or working on innovative healthcare projects, your contributions will directly impact … Cybersecurity: Familiarity with networking protocols, firewalls, VPNs, and cybersecurity practices is a strong plus, especially in defence-related projects. Database Knowledge: Skills in databases like SQL, NoSQL, or data analytics tool Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because More ❯
or information governance frameworks. Certification or formal training in data migration, validation, or data quality management. Desirable Project or programme management certification (e.g. PRINCE2, MSP, Agile). Certification in analytics or data platforms such as Power BI, SQL, or Azure. Training related to Electronic Patient Record (EPR) systems or NHS digital programmes. Experince and Knowledge Essential Proven experience in business … within the NHS. Desirable Experience working on Electronic Patient Record (EPR) deployment programmes. Knowledge of integrated care systems (ICS) and working across multiple NHS organisations. Experience with reporting and analytics tools such as Power BI, SQL, or Azure data services. Familiarity with agile project delivery and working within complex programme environments. Skills and Ability Essential Exceptional verbal and written communication More ❯
drive technical excellence within your team to make this organisation-level change happen. You're a software engineering technical leader at heart. You thrive in the data engineering and analytics engineering domain. You care deeply about customer outcome-focused data engineering excellence. Areas of Expertise Technical Leadership: - Extensive experience in data engineering, including designing, building, and maintaining robust and scalable … resolutions for complex and difficult problems. Drive continuous improvement on key metrics such as business value, cost efficiency, speed, and quality of delivery. Coach a team of data and analytics engineers on best practices in the software development lifecycle, delivering high-quality software through your own work, and fostering a feedback culture within the team. Influence key decision-making across More ❯
Bristol, Gloucestershire, United Kingdom Hybrid / WFH Options
Lloyds Bank plc
richest transaction datasets, revolutionising financial insights and market intelligence for LBG and our customers. It's a critical role to us, as you'll drive the evolution of data analytics solutions and AI capabilities, by developing and delivering solutions that are aligned with our group technical strategy and help achieve our lab's goals and priorities. What you'll do … to make our Group a great place for everyone. Including you! What you'll need An experienced Software/Data Engineer with a recent focus on developing data and analytics solutions on cloud platform (e.g. GCP/AWS/Azure). Technical know-how in data engineering techniques which cover both batch processing and/or streaming Agile Delivery: Significant More ❯
London Are you passionate about leveraging digital data to uncover meaningful insights? We are seeking a Senior Social & Digital Analyst to join True Global Intelligence (TGI), our global research & analytics team. In this role, you'll collaborate with Fortune 500 clients, transforming complex social and digital analytics into strategic recommendations that drive business results. We have been named PRWeek's … creative, content, and strategy teams to translate the data into impactful recommendations Identify growth opportunities by analysing market trends and audience data Recommend tools, technologies, or methodologies to improve analytics capabilities About 80% of your time will be spent on billable work, and the remaining 20% spent on new business and agency initiatives. About you At least 3 years of … experience in marketing analytics or comms social analytics, with knowledge of earned, and owned media measurement approaches; paid media analytics a nice to have! Able to build strong working relationships with clients, team members and stakeholders. Previous experience in a client-service capacity is preferred. Excellent Project Management skills; capable of setting priorities, meeting deadlines, and managing projects. Strong expertise More ❯
Delivery Practice Manager - Data Analytics, ASEAN Professional Services Job ID: Amazon Web Services Singapore Private Limited The Amazon Web Services Professional Services (ProServe) team is seeking an experienced Delivery Practice Manager (DPM) to join our ProServe Shared Delivery Team (SDT) at Amazon Web Services (AWS). In this role, you'll manage a team of ProServe Delivery Consultants while supporting … and direct people management experience, leading high-performing service line teams including business operations and financial management. - Hands-on experience leading the design, development and deployment of complex data & analytics strategies and solutions at scale supporting Fortune 500 companies across multiple industries and geographies; Proven experience with software development life cycle (SDLC) and agile/iterative methodologies. PREFERRED QUALIFICATIONS - Advanced More ❯
of our consulting solutions, including deal services, business transformation, risk and governance, finance function support, restructuring, and forensic & investigation services. The team provides comprehensive analytical support, including advanced data analytics, visualization, automation, and artificial intelligence. They work closely with consulting teams to translate business challenges into analytical solutions. The CDT members possess diverse skills in data science, business analysis, data … analytics, and programming, enabling them to develop innovative, data-driven solutions that improve internal operations and client services. You will make an impact by: Working closely with clients as a Manager/Associate Director in the Deal Services part of the CDT Team, establishing trust and credibility quickly. Being a team player with a 'can-do' attitude, understanding that collaboration … problem solver, creative thinker, and self-starter who is organized, proactive, and inquisitive, capable of managing a team and multiple deadlines. Supporting transactions by developing data-driven solutions, managing analytics-led due diligence, vendor assistance, M&A, and value creation support for mid-market investors and fast-growth businesses. Contributing to client proposals, presentations, and business development, positioning yourself as More ❯
The Role Optima Partners is a forward-thinking professional services firm on an exciting growth trajectory. As we expand from 50 to 200 employees over the next two to three years, we are strengthening our team and are now looking More ❯
Bango enables content providers to reach more paying customers through global partnerships. Bango revolutionized the monetization of digital content and services, by opening-up online payments to mobile phone users worldwide. Today, the Digital Vending Machine is driving the rapid More ❯
Lead Data Scientist Contract Type: Permanent Nottingham - Full time office (Please only apply for this role if you can work full time 5 days a week in Nottingham) Salary: 50k-60k Monday to Friday core office hours We are recruiting More ❯
client-specific reporting and profitability analysis, particularly for global strategic clients and value-based agreements. Act as the central point of contact for the Business Development team on all analytics and reporting matters. Develop dashboards and scalable reporting tools using Power BI, Tableau, and SQL to support commercial and client-facing functions. Support partner-related processes such as appraisals, lateral … and Partner Selection assessments with robust analysis. Collaborate with global teams to ensure smooth delivery and continuous improvement of reporting. The Successful Applicant A successful Client Partner Insights and Analytics Manager should have: Significant experience in an analytical or commercial finance role, ideally within professional services. Strong technical skills, including advanced Excel, Power BI, Tableau, and SQL. Proven ability to … engagement skills, with the confidence to present findings to senior leaders. Experience managing or mentoring junior team members. A professional accountancy qualification is preferred. Experience with AI or advanced analytics tools would be an advantage. What's on Offer The opportunity to work for a highly respected, international law firm at the forefront of data-driven decision-making. A competitive More ❯
across the underlying systems and technology stack.The data in focus will be driven from the product experience across growth, acquisition, engagement, ads and churn experiences.This will allow the product analytics and experimentation and supporting data engineering teams to maintain accurate data sets, maintain data driven product decisions, and support an in house experimentation statistical engine.These data sets directly impact customer … engineering, data governance and clickstream analytics. Comfortable working with demanding stakeholders in a complex, fast paced environment. Responsibilities include, but are not limited to: Work closely with the product analytics, experimentation and data engineering team; provide data expertise into the definition of data requirements through user stories to inform the scope and design of data needs, planning and being available … for technical inquiries and support. Guide stakeholders through strategy, processes and create playbooks to support seamless product analysis (including experimentation). Own the design and enhancements of the product analytics mart which helps analyse and report on product analysis and experiment results in an automated manner. Work with the data teams to ensure data and metrics are accurate and reliable More ❯
Manchester, North West, United Kingdom Hybrid / WFH Options
La Fosse
on a 6-month contract (outside IR35). This is a hands-on opportunity to work on greenfield, customer-focused data science projects, helping to shape the future of analytics within the business. You'll be designing and deploying ML models across areas like segmentation, customer lifetime value, and marketing attribution, with scope to explore generative AI applications. Key Skills More ❯
and analytics. Stakeholder Engagement: Ability to pro actively engage with internal teams and translate business needs. Mentoring & Team Development: Skills to guide junior team members and build a cohesive analytics unit. Data Quality & Governance: Ensuring data accuracy and implementing robust processes. Technical Troubleshooting: Ability to swiftly resolve technical issues. Documentation: Comprehensive documentation of data architecture and reporting processes. Analytical & Problem More ❯
Employment Type: Permanent
Salary: £70000 - £500000/annum All commuting costs paid
and industry experts, applying data engineering and data science techniques to optimize supply chain processes. Your expertise will directly contribute to providing our clients with real-time visibility, predictive analytics, and actionable insights. What You Will Do Develop and implement machine learning models to improve the accuracy of supply chain ETA s. Analyze large, complex datasets to extract meaningful insights … and identify trends. Design, build, and maintain scalable data pipelines and data lakes to ensure efficient data flow and storage for analytics purposes. Collaborate with cross-functional teams to integrate analytics solutions into our products. Design and build data visualization tools to communicate findings to stakeholders. Continuously research and apply the latest techniques in AI and machine learning to supply … chain problems. Contribute to the development of our analytics product suite, ensuring scalability and efficiency. Communicate complex data science concepts to non-technical stakeholders. Key Responsibilities 1. Advanced Predictive Models: Utilize machine learning algorithms to analyze historical data and identify patterns. Models such as regression analysis, neural networks, or ensemble methods can predict ETAs more accurately by considering various factors More ❯
anything online, this is your chance to work hard, have fun, and make history. Key job responsibilities An ideal candidate for this role: Will have relevant experience in data analytics working with large data sets and to extract and transform data using various tools and technologies Will transform data into actionable business information, and will make it readily accessible to More ❯
decision-making. What Youll Be Doing Design and implement data solutions on Azure, using a range of services like Azure SQL Database, Data Factory, Data Lake Store, Data Lake Analytics, Stream Analytics, Azure Storage, Cosmos DB and more Making informed decisions on the strategic direction and roadmap for the use and implementation of cloud platforms and DevOps methodologies. Design scalable More ❯
making. What you'll be doing: Design and implement data solutions on Azure, using a range of services like Azure SQL Database, Data Factory, Data Lake Store, Data Lake Analytics, Stream Analytics, Azure Storage, Cosmos DB and more Making informed decisions on the strategic direction and roadmap for the use and implementation of cloud platforms and DevOps methodologies. Design scalable More ❯
A unique opportunity to join a Leading Insurance Provider as a Data & Analytics Manager in London. This role offers an unparalleled chance to shape the future of data-driven decision-making within a dynamic and innovative environment. The ideal candidate will be a front facing Data Analysis/Visualisation expert with strong Google Platform/Medallion Architecture experience. Why This … empower leadership and the entire organisation towards data-driven decision making. Collaboration : Work closely with leaders, third parties, and developers to establish and maintain a high-performing Data and Analytics technology framework. Leadership : Lead the Analytics and GenAI initiatives, leveraging cutting-edge tools to drive business strategy. Global Engagement: Collaborate with the US parent company to facilitate global reporting and … compliance with all applicable legal and regulatory requirements. Skills, Knowledge & Experience: Insurance knowledge is essential. Highly driven and customer-focused individual with up-to-date knowledge in the Data & Analytics sector. Advanced expertise in Cloud SQL, Informatica, Tableau, Google Products (BigQuery, Composer, Vertex AI), and APIs. Proficient in Medallion architecture, including design and delivery of its components with ACORD influenced More ❯