1,126 to 1,150 of 18,448 Analytics Jobs in the UK

domains such as Commercial, Finance, Supply Chain, Product, and Regulatory. You will lead the design of a scalable, trusted, and connected data architecture that enables AI/ML, advanced analytics, digital transformation, and regulatory compliance. This is a critical leadership role in advancing the organization’s data-driven enterprise vision. Core Responsibilities of the Enterprise Architect Role: Bridge alignment between More ❯

product, client, and business decisions. Providing key analytical support in the planning, evaluation and creation of data models. Collaborating on the development and execution of data strategies, setting of analytics goals, and exploration of new data opportunities to drive business growth. Collaborate closely with C-Level executives as the 'eyes in the sky' operator, supporting strategic decisions that are all More ❯

manner. Ability to work independently and collaboratively in a fast-paced environment. Experience in the insurance or financial services industry is a plus. A degree in Data Science, Business Analytics, Statistics, Computer Science, or a related field would be preferred but is not essential Compensation and benefits On top of a competitive salary, great teams and exciting career opportunities, we More ❯

wide range of IT projects. Involvement in the end to end project life cycle Knowledge and experience of different agile software project methodologies Knowledge of education sector, school MIS, analytics Self-organisation, self-motivation and time management skills. Ability to set personal objectives that support the business/department/team goals Good diplomacy and negotiation skills. High level of More ❯

to data engineering, identification of risks and proposing and implementing their mitigations) Modelling, structuring and storing data along with their data flows for uses including - but not limited to - analytics, machine learning, data mining, compliance, business intelligence, sharing with applications and organisations Harvesting and ingesting structured and unstructured data in different formats and standards Integrating, consolidating and cleansing data Migrating More ❯

wide range of IT projects. Involvement in the end to end project life cycle Knowledge and experience of different agile software project methodologies Knowledge of education sector, school MIS, analytics Self-organisation, self-motivation and time management skills. Ability to set personal objectives that support the business/department/team goals Good diplomacy and negotiation skills. High level of More ❯

for a team member to work on our latest initiative, operating at the forefront of innovation in a dynamic, fast-paced environment. This role demands the agility to navigate analytics landscape across multiple functions seamlessly, the resilience to thrive in a fast paced environment, excitement to handle challenges head-on and excellence in analytical abilities. As a Business Analyst, you More ❯

projects deliver measurable results. What You'll Bring Essential Expertise Deep knowledge in AI/Machine Learning , Statistical Analysis , and Algorithm Design Strong experience in Data Lifecycle Management , Predictive Analytics , Data Governance , and Cloud Computing Proficient in Programming/Scripting (e.g., Python, R, SQL) and developing scalable data solutions Skilled in Data Commercialisation , KPI Design , Business Analysis , and Data Model More ❯

Using your strong knowledge of SQL and Python plus quantitative skills to define features that capture evolving fraudster behaviours Develop internal tools to streamline the model training pipeline and analytics workflows Applying your curiosity and problem-solving skills to transform uncertainty into value-add opportunities Using your strong attention to detail and ability to craft a story through data, delivering More ❯

looking for candidates who have: A bachelor's degree or higher in computer science, data science, statistics, mathematics, economics, or a related field Solid experience in a data science, analytics, or consulting role, preferably in the cryptocurrency, financial services, or cybersecurity domains Proficiency in Python, Spark, SQL, and other data analysis and visualization tools and frameworks, such as Tableau, Power More ❯

benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, and Azure Machine Learning Implement data pipelines and workflows to automate and operationalize machine learning solutions using tools such as Azure ML Pipelines, Azure DevOps. Run experiments and monitor performance More ❯

reporting and data sharing as required. Continuous Improvement: Identify and implement improvements to reporting, data visualization, and analytical processes. Stay abreast of industry trends and best practices in commercial analytics and data-driven retail management. Qualifications and Key Skills: Experience: Proven experience in commercial analysis within retail, travel retail, or a fast-paced commercial environment. Track record of driving actionable More ❯

the VML Data team. The Senior Analyst will analyze data to deliver value through understanding our clients' customers and the performance of marketing activities. Working closely with the wider analytics and data team, you will be responsible for the development and delivery of measurement and insight projects across various marketing activities and contribute to answering business questions, ultimately ensuring that More ❯

the VML Data team. The Senior Analyst will analyse data to deliver value through understanding our clients’ customers and the performance of marketing activities. Working closely with the wider analytics and data team you will be responsible for the development and delivery of measurement and insight projects across various marketing activities and contribute to answering business questions, ultimately ensuring that More ❯

benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, and Azure Machine Learning Implement data pipelines and workflows to automate and operationalize machine learning solutions using tools such as Azure ML Pipelines, Azure DevOps. Run experiments and monitor performance More ❯

role perfect for a generalist who enjoys wearing many hats and thrives in a start-up environment. You will play a key role in taking the Townhouse Data and Analytics department to the next level, working closely with IT and software teams to plan and implement improvements to reporting data. Day-to-day responsibilities will cover data manipulation, presentation, and More ❯

deployments, including performance tuning, cost optimisation, and security management. Develop reusable frameworks, assets, and accelerators to improve delivery efficiency and consistency across projects. Advocate for the adoption of advanced analytics, AI, and machine learning capabilities within Databricks to drive additional business value. Qualifications Key Qualifications Strong experience in data engineering, data architecture, or big data analytics. Proven experience designing and More ❯

data pipelines and data architecture. Collaborate with cross-functional teams to understand data requirements and deliver effective solutions. Define the standards for high-quality data for Data Science and Analytics use-cases and help shape the data roadmap for the domain. Conduct exploratory data analysis to uncover data patterns and trends. Identify opportunities for process improvement and drive continuous improvement More ❯

third-party solutions (e.g., Charles River, BlackRock Aladdin). Languages: Java, Python, or C# with Spring Boot or .NET Core. Data Platforms: Warehouses: Snowflake, Google BigQuery, or Amazon Redshift. Analytics: Tableau, Power BI, or Looker for client reporting. Big Data: Apache Spark or Hadoop for large-scale processing. AI/ML: TensorFlow or Databricks for predictive analytics. Integration Technologies: API More ❯

with cloud-based lakehouse implementation . Experience with machine learning (ML) and AI frameworks, particularly within Databricks (e.g., MLflow, AutoML, or PyTorch/TensorFlow). Understanding of AI-driven analytics and predictive modeling to enhance BI solutions. Think you can make a difference? WE ARE your future. More details: Full time, permanent role Competitive salary Hybrid working (3 days office More ❯

manage your time well and like solving problems. Any experience with SQL, Power BI or CRM systems is a bonus-but not expected. The Person Strong interest in data analytics and marketing. Basic understanding of data analysis concepts, including statistical methods and data visualization. Proficiency with Microsoft Excel (e.g., formulas, pivot tables, VLOOKUP). Familiarity with basic SQL queries or More ❯

the Code of Practice for Statistics. Knowledge of grant funding and procurement. Experience of digital delivery, including knowledge of agile methodologies and resource planning. Experience of machine learning, predictive analytics, automation, AI and programming languages such as SQL, Python or Java. Qualifications You must be eligible to become a member of the Government Operational Research Service (GORS) or the Government More ❯

sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights . RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive. Our purpose is to benefit society by developing products More ❯

have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation. Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering, and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited More ❯

Press Tab to Move to Skip to Content Link Select how often (in days) to receive an alert: Function: Digital & Analytics Job Category: Digital Technology and Open Innovation Data Automation Specialist Wärtsilä is an innovativetechnology company known forbeing a forerunner in the Marine and Energy markets. Every day, we - Wärtsilians - put our hearts and minds into turning Wärtsilä's purpose More ❯