with DBT, with a strong appreciation for scalable, well-structured models that encode business logic clearly and consistently. You think analytically and work methodically ensuring your transformations enable reporting, analytics and activation use cases with confidence. YOUR NEXT CHALLENGE As an Analytics Engineer at Medialab, you will: Design, build and maintain data models within our DBT codebase, transforming raw data … into clean, tested, and documented datasets ready for analytics and activation. Onboard new data feeds, working closely with business and technical stakeholders to understand requirements and ensure smooth integration into our pipelines. Champion data quality and integrity, troubleshooting issues and ensuring our outputs remain reliable and trusted. Collaborate with senior Apollo leads to align our data products with business and … client priorities. Use and contribute to our Python tooling, whether through writing scripts, enhancing existing tools, or defining requirements and design improvements. Partner with analytics, data science and visualisation teams, ensuring datasets are meaningful, intuitive, and optimised for their use cases. Support users and team members, sharing knowledge and solving problems effectively. Must Have Skills SQL – proficient; confident in writing More ❯
the rural location of HQ, you will need to be a car driver to get to the office - this is an office based job. Key Responsibilities Telematics & Driving Behaviour Analytics Analyse telematics data sets to support our the underwriting teams approach to risk selection Collaborate with telematics partners and data science teams to monitor performance of driving behaviour models and … as new product development, market expansion, or regulatory reporting. Required Experience/Qualifications Minimum 3 years of experience as a Data Analyst, preferably in motor insurance , telematics , or mobility analytics . Other sectors can be considered. Proficiency in SQL and python for data manipulation and analysis. Strong experience working with large, structured and unstructured data sets . Familiarity with data More ❯
Job Description: Reporting to the Head of Data, the Data Engineering Lead will oversee the design, development, and maintenance of high-performance data systems that support trading, risk, and analytics functions across the Natural Gas and Power business. This role bridges technical execution and business impact, ensuring that data pipelines, platforms, and products are robust, scalable, and aligned with enterprise … ideal candidate will lead a team of data engineers, collaborate with trading desks and analysts, and ensure that data infrastructure supports pre-trade modeling, live execution, and post-trade analytics with precision and reliability. Main Responsibilities 1. Data Platform Ownership Lead the development and maintenance of scalable data pipelines and databases tailored to Natural Gas and Power trading workflows. Ensure … data capabilities. Drive automation and optimization of data workflows to improve performance and reduce operational risk. Contribute to the evolution of enterprise data architecture in collaboration with IT and analytics teams. Profile Bachelor's or Master's degree in Computer Science, Data Engineering, or a related technical field. years of experience in data engineering, with at least 2 years in More ❯
Data Analytics - Research Analyst - Government and Social Impact Duration: 12 months contract Rate: Market rate (PAYE) Location: London (on site) Sector: Big tech Minimum Qualifications • 5-10 years of experience in data operations, or other relevant space leading large scale global projects or programs.• Excellent communication skills, both written and verbal. Ability to understand and simplify complex topics and explain … 2+ years with scripting languages (e.g., Python), and/or statistical/mathematical software (e.g., R).• Experience developing and maintaining data pipelines. Education: • Bachelor’s degree in data analytics or government. More ❯
patient-focused future. Our Data & AI R&D team within the Strategy & Consulting practice is driving this change-combining deep scientific and clinical knowledge with cutting-edge technology and analytics to solve some of the industry's most complex problems. Whether optimising protocol design, enabling digital twins of clinical trials, or supporting go-to-market strategy for AI tools, we … such as our Faculty partnership- that simulate clinical trial scenarios and guide complex R&D choices Hands-on project delivery for top-10pharma clients, shaping how they apply data, analytics, and innovation across the product development lifecycle A global network of multidisciplinary experts in AI, clinical development, regulatory strategy, and digital health Continuous learning and growth through Accenture's world … to co-create impact Partner with senior client stakeholders (e.g., Heads of R&D, CDOs) to co-create solution roadmaps that harness AI platforms, digital twin models, and advanced analytics Translate complex data insights into compelling executive presentations and strategic recommendations that drive key development and investment decisions Act as a culture champion-promoting bold innovation, diversity of thought, and More ❯
Location: London (2-3 days on site) Department: Data & Analytics About the Role We are looking for a skilled and strategic Data Architect to lead the design and implementation of scalable, secure, and high-performing data solutions across our cloud environment. In this role, you will play a critical part in shaping our enterprise data architecture using Microsoft Azure, Microsoft … and operational procedures to maintain consistency and compliance. Enhance Performance & Reliability: Continuously refine and optimize database environments for speed, availability, and resilience. Enable Cross-Platform Integration: Collaborate with engineering, analytics, and business teams to unify data from diverse sources into a cohesive architecture. Support Compliance & Data Security: Implement data governance frameworks and ensure adherence to regulatory and internal data protection More ❯
in delivering robust, future-proof solutions using lakehouse and medallion architecture principles . Key Responsibilities Design end-to-end data architectures using Azure services, including Azure Databricks, ADF, Synapse Analytics , and Data Lake Storage Define scalable data models and implement architectural patterns such as lakehouse and medallion Lead technical solution design during client engagements, from discovery to delivery Establish and … or senior engineering roles Strong hands-on experience with Azure Databricks and Azure Data Factory Proficient in SQL, Python , and Spark Expertise in data modelling and architectural patterns for analytics (e.g., lakehouse, medallion, dimensional modelling) Solid understanding of cloud security, private networking, GDPR, and PII compliance Excellent communication skills with a strong consulting mindset Desirable Experience with Microsoft Purview, Power More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Randstad Technologies
in delivering robust, future-proof solutions using lakehouse and medallion architecture principles . Key Responsibilities Design end-to-end data architectures using Azure services, including Azure Databricks, ADF, Synapse Analytics , and Data Lake Storage Define scalable data models and implement architectural patterns such as lakehouse and medallion Lead technical solution design during client engagements, from discovery to delivery Establish and … or senior engineering roles Strong hands-on experience with Azure Databricks and Azure Data Factory Proficient in SQL, Python , and Spark Expertise in data modelling and architectural patterns for analytics (e.g., lakehouse, medallion, dimensional modelling) Solid understanding of cloud security, private networking, GDPR, and PII compliance Excellent communication skills with a strong consulting mindset Desirable Experience with Microsoft Purview, Power More ❯
and Data Pipeline orchestration. Broader platform experience (desirable): Familiarity with Databricks, Snowflake, Azure Data Factory, Azure Synapse, Microsoft SQL/SSIS. Certifications that are a plus: Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) Microsoft Certified: Fabric Data Engineer Associate (DP-700) ABOUT YOU You're not just a data expert-you're a problem solver, collaborator, and forward-thinker. … output. Adapt easily to solo or team work. Stay updated on industry trends and standards. If you're passionate about data and want to join a leading data and analytics company based in the UK, consider applying at Dufrain. Please submit your CV highlighting relevant experience and certifications. Applicants must have the right to work in the UK; visa sponsorship More ❯
and contractual responsibilities, supporting decision making, and improving performance. The post holder requires strong analytical and statistical skills/knowledge with an in-depth experience of stakeholder management and analytics delivery for operational, performance and planning decision support. About us **Please submit your application as soon as possible as we reserve the right to close any adverts before the closing … and contractual responsibilities, supporting decision making, and improving performance. The post holder requires strong analytical and statistical skills/knowledge with an in-depth experience of stakeholder management and analytics delivery for operational, performance and planning decision support. Person Specification Education & Quals Essential Educated to Masters degree level in a numerate/quantitative discipline or demonstrable equivalent experience and competencies … working in a Health Intelligence Role within the NHS Experience & Skills Pt2 Essential Knowledge and experience of understanding user needs, seeking feedback and user research methods to improve reporting, analytics and insight delivery. Demonstrate the ability to plan, organise and prioritise workload according to the demands of conflicting and unpredictable requests. Experienced of developing reports in Power BI Experience of More ❯
science team at a leading commercial insurer. This is an exciting opportunity to contribute to a successful and forward-thinking organisation that is committed to elevating the role of analytics in driving business performance. You'll work at the intersection of data science and insurance, developing in-demand domain expertise while delivering innovative solutions that shape underwriting, pricing, claims, and … customer strategy. Your new role: Deliver actionable data-driven insights to the business via advanced analytics, machine learning and AI. Work both independently and collaboratively on data science projects across business functions, including underwriting, claims, pricing, and customer analytics. Present clear and well-organised analyses to appropriate audiences, demonstrating in-depth subject knowledge and confidence in conclusions. Ensure data science … a Linux-based cloud environment (e.g. GCP, Azure, AWS). Experience using git version control. Communication, stakeholder management, and problem-solving skills are critical. Presentation skills for explaining complex analytics solutions to diverse audiences. Qualifications: Necessary Qualifications include: Bachelor's degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, Mathematics) or equivalent combination of education and relevant work experience. More ❯
findings into actionable recommendations. Partner with data engineers and developers to build reliable data foundations - from defining tracking requirements and implementing instrumentation to maintaining data quality and establishing scalable analytics processes. Create compelling narratives through clear and impactful presentations that drive alignment across teams and influence product strategy through data-backed storytelling. Your skills and experience 5+ years of proven … experience in product analytics, with a strong track record of driving decisions in product-led growth environments. Bachelor's or Master's degree in a quantitative field (Statistics, Economics, Computer Science, or similar) Experience working on a B2B product is a plus. Proven experience defining and implementing PLG metrics frameworks, from user acquisition through expansion. Excellent problem-solving skills, with More ❯
We Are: Accenture Strategy. Through deep industry expertise, analytics and insights, we empower clients to survive and thrive in the new, the now and the unknown. To stay agile in a world dominated by change, the C-suite must keep the core business running while simultaneously identifying and investing in the new. Accenture Strategy consulting enables leaders to act quickly … A Strategy Consulting Manager with significant experience in the energy or finance industry and a focus on investment and trading. Your expertise? Using state-of-the-art quantitative analysis, analytics, and risk management techniques to help clients achieve their investment, trading, and risk management strategies. You have energy and drive in abundance, along with personal resilience, a passion for serving … boost growth. · Develop integrated strategies that leverage data science to drive decision-making in investment, trading, and other deeply quantitative domains, aligning with our clients’ business objectives. · Utilize advanced analytics, machine learning, and predictive modeling to interpret market signals and forecast trends, providing clients with a competitive edge. · Strengthen relationships with clients to sustain Accenture’s profile as a long More ❯
We Are: Accenture Strategy. Through deep industry expertise, analytics and insights, we empower clients to survive and thrive in the new, the now and the unknown. To stay agile in a world dominated by change, the C-suite must keep the core business running while simultaneously identifying and investing in the new. Accenture Strategy consulting enables leaders to act quickly … A Strategy Consulting Manager with significant experience in the energy or finance industry and a focus on investment and trading. Your expertise? Using state-of-the-art quantitative analysis, analytics, and risk management techniques to help clients achieve their investment, trading, and risk management strategies. You have energy and drive in abundance, along with personal resilience, a passion for serving … boost growth. · Develop integrated strategies that leverage data science to drive decision-making in investment, trading, and other deeply quantitative domains, aligning with our clients’ business objectives. · Utilize advanced analytics, machine learning, and predictive modeling to interpret market signals and forecast trends, providing clients with a competitive edge. · Strengthen relationships with clients to sustain Accenture’s profile as a long More ❯
strategy, to developing Data & AI solutions, right through to providing a range of managed services. We are a Microsoft Solutions Partner, holding Specialisations in AI Platform on Microsoft Azure, Analytics on Microsoft Azure, Data Warehouse Migration to Microsoft Azure and Migrate Enterprise Applications to Microsoft Azure, as well as holding Solutions Partner designations in Data & AI (Azure); Digital & App Innovation … Response Partner of the Year award, reflecting our dedication to using technology for positive change. We are also a Databricks partner, and an IBM Gold Partner, specialising in Cognos Analytics and Planning Analytics. Our company culture and people are at the heart of our business. We invest in our employees, encouraging them to reach their career aspirations and supporting them More ❯
Manchester, Lancashire, United Kingdom Hybrid / WFH Options
Lloyds Banking Group
manage secure infrastructure across Azure and GCP Use Infrastructure as Code (Terraform) to implement and maintain security controls Automate security processes with scripting and APIs Use native tools and analytics to improve cloud & data security posture Collaborate across teams to deliver secure, scalable, and compliant solutions Creating and tuning DLP/Cyber policies for endpoints, email, cloud apps, and network … Code principles API integration (e.g., Microsoft Graph API) IN ADDITION, THE BELOW WOULD BE NICE TO HAVE (DEPENDING ON THE TEAM) Lab 1: Cloud Enterprise and Computer Security Data & Analytics (KQL/SQL or BigQuery for GCP) Power Platform and PowerShell Lab 2: Security Operations SIEM management Advanced logging DLP technical policy development Ability to build and train machine learning More ❯
extract customer data from CRM for surveys. Develop live dashboards to monitor scores in real-time and implement alert systems for low scores. Perform insightful analysis, including building text analytics models. Present results to stakeholders at all levels, tailoring content as needed. Build feedback mechanisms to ensure feedback is acted upon locally and at the business level. Communicate programme updates … . Strong data analysis and report creation skills using multiple data sources. CCXP certification is a plus. Project management experience. Proficient in data science techniques, including statistical analysis, text analytics, and regression analysis. Experience with Power BI, Looker Studio, and Excel. Strong business partnership and storytelling skills. Inquisitive, problem-solving mindset. Resilient self-starter, capable of managing global programmes. Excellent More ❯
Engineer to spearhead the design, development, and optimisation of our critical CRM and customer data transformation. You'll play a pivotal role in building the data foundations for advanced analytics, personalised customer experiences, and effective marketing activation. As a senior member of the team, you will lead data engineers and champion best practices within our data environment. What You'll … validation checks, and data lineage processes. Collaborate: Work closely with a CRM team, data analysts and marketing teams to understand their data needs and deliver effective solutions. Enable Marketing Analytics: Design and provide the necessary data structures and transformations required by marketing teams to measure the efficacy of campaigns, particularly tracking customer engagement and conversion through integrated communication and data More ❯
and with the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO We Are: Accenture Strategy. Through deep industry expertise, analytics and insights, we empower clients to survive and thrive in the new, the now and the unknown. To stay agile in a world dominated by change, the C-suite must … A Strategy Consulting Manager with significant experience in the energy or finance industry and a focus on investment and trading. Your expertise? Using state-of-the-art quantitative analysis, analytics, and risk management techniques to help clients achieve their investment, trading, and risk management strategies. You have energy and drive in abundance, along with personal resilience, a passion for serving … boost growth. • Develop integrated strategies that leverage data science to drive decision-making in investment, trading, and other deeply quantitative domains, aligning with our clients' business objectives. • Utilize advanced analytics, machine learning, and predictive modeling to interpret market signals and forecast trends, providing clients with a competitive edge. • Strengthen relationships with clients to sustain Accenture's profile as a long More ❯
publish the data which is the backbone of our iconic Bloomberg Terminal the data which ultimately moves the financial markets! We're responsible for delivering this data, news, and analytics through innovative technology quickly and accurately. The Data Management Lab (DML) sits within the Data organization, supporting Data's pursuit of data management excellence by aligning industry best practices with … testing, clustering, and regression analysis Develop statistical models to detect data anomalies, predict quality issues, and optimize data manufacturing pipelines by leveraging appropriate methodologies Deliver actionable insights through advanced analytics, and compelling data storytelling to support business decision making and innovation Collaborate with data stakeholders and engineering partner to translate high-impact questions into scalable data science solutions Build statistical More ❯
teams own, process, query, and manage their data with efficiency and ease. You will work closely with people from a wide variety of domains, as well as our Insights, Analytics Engineers, Data Scientists, MLOps, MarTech and other Data Engineering teams. You will help manage our growing data needs and support increasingly complex business problems by building and promoting self-service … with data efficiently and securely, using modern tooling such as Terraform, Docker, and cloud-native patterns Lead Technological Initiatives : Lead initiatives working with end users: data scientists, ML engineers, analytics engineers, product engineers and beyond to enable, support and accelerate their data needs, embracing a platform as product attitude. Uphold operational excellence: Automating infrastructure and monitoring, leading incident response and … but also for data owners Proven experience designing, building, and scaling data platforms and backend infrastructure in production environments - have worked to enable advanced data users: ML Engineers, analysts, analytics engineers and have a strong grasp of their needs and how they operate Big data technologies, with expertise in tools & platforms such as Airflow, dbt, Kafka, Databricks and data observability More ❯
an organisation-wide culture of data-driven decision making: from day-to-day operations to strategic initiatives. Designing and optimising data models in our Data Warehouse (Snowflake) to support analytics across product, marketing, and operations. Translating complex business questions into clear, actionable insights via reports and visualisations. Partnering with the Data Platform team to identify and address gaps in our … or offer you a position better suited for you. You can apply directly below or contact us if you're still unsure. Your key experience: 2+ years in an Analytics role or similar Experience with quantitative methods and approaches to solving problems gained through various experiences or studies ( e.g. Computer Science, Mathematics, Physics, Engineering degree or equivalent practical experience). More ❯
implement advanced machine learning models to solve complex business problems. Optimise the performance of existing models and address weaknesses through detailed analysis. Collaborate with cross-functional teams to integrate analytics solutions into business operations. Analyse large datasets to uncover patterns, trends, and insights that drive strategic decisions. Assist API integrations to ensure seamless functionality and data flow between systems. Communicate … implement advanced machine learning models to solve complex business problems. Optimise the performance of existing models and address weaknesses through detailed analysis. Collaborate with cross-functional teams to integrate analytics solutions into business operations. Analyse large datasets to uncover patterns, trends, and insights that drive strategic decisions. Assist API integrations to ensure seamless functionality and data flow between systems. Communicate More ❯
mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices … goals and deliver high-quality code. Experience with advanced React Native libraries (e.g. Reanimated, Lottie, React Navigation). Understanding of mobile accessibility and inclusive design practices. Exposure to mobile analytics tools and crash reporting platforms (e.g. Firebase, Sentry). Experience with security and compliance in mobile apps (e.g. GDPR, encryption). Working at Ascent At Ascent, we promote a healthy More ❯
learning. But most importantly, we are on this journey together. How You'll Contribute You'll report into the Tech Lead and will take ownership of the existing data analytics solution. You will drive the evolution of this critical piece of our decision making capability so that it remains efficient, fit for purpose and scalable. As we build the best … and timely decisions is critical to our success. Kroo Bank's engineering and products teams are clustered around our main banking products - Accounts, Lending, Overdrafts and so on. Data Analytics works across all these products and other business areas like Finance and Operations to deliver business intelligence. You will work on: Design and build a company wide data model. Build More ❯