organization to make informed, data-driven decisions. This is a hands-on role that blends engineering excellence with product thinking, metadata management, and a passion for enabling self-service analytics and data literacy across the business. Key Responsibilities: Build & Maintain Scalable Data Warehousing Solutions: Design, build, and maintain robust ELT pipelines and transformation workflows Model and maintain curated data layers … to support reporting, analytics, and decision-making Ensure high availability, scalability, and performance of data warehouse systems (cloud-based, e.g., Redshift) Develop & Manage Data Products: Collaborate with business and domain experts to define and deliver high-value, reusable data products Implement best practices around versioning, SLAs, data contracts, and quality validation Own the end-to-end lifecycle of key datasets … Self-Service: Build intuitive, well-structured data models to empower BI tools (e.g., QuickSight, Power BI, Tableau) Collaborate with analysts and domain users to promote adoption of self-serve analytics tools Create and maintain data dictionaries, technical and business catalogs, and user onboarding documentation Contribute to internal data enablement initiatives such as training and knowledge-sharing sessions Governance, Quality, and More ❯
data-driven solutions that make a difference from day one! In this role, you’ll work alongside experienced data scientists, engineers, and business stakeholders to design, build, and deploy analytics and machine learning solutions. You’ll apply your analytical mindset and technical skills to unlock insights, drive decision-making, and support products used by thousands every day. Whether you're … think big, and grow with a company that values data at its core. What’s in it for you? 📊 Meaningful Work : Work on real data challenges across forecasting, customer analytics, risk modelling, and business intelligence. 📈 Learning & Development : Structured support including mentoring, online courses, internal workshops, and the chance to explore the latest tools in data science. 💡 Culture of Innovation : Be More ❯
data-driven solutions that make a difference from day one! In this role, you’ll work alongside experienced data scientists, engineers, and business stakeholders to design, build, and deploy analytics and machine learning solutions. You’ll apply your analytical mindset and technical skills to unlock insights, drive decision-making, and support products used by thousands every day. Whether you're … think big, and grow with a company that values data at its core. What’s in it for you? 📊 Meaningful Work : Work on real data challenges across forecasting, customer analytics, risk modelling, and business intelligence. 📈 Learning & Development : Structured support including mentoring, online courses, internal workshops, and the chance to explore the latest tools in data science. 💡 Culture of Innovation : Be More ❯
the BI team on Agile projects. Advise other business areas on data analysis, insights, and visualization best practices. Key Experience Required Analytical & Technical Skills: 5+ years in BI/Analytics, proficiency in Google Analytics (GA4), Power BI, SQL or Python, and experience with complex datasets. Data Visualization & UX/UI: Proven ability to develop enterprise-level, reusable dashboards with strong 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 … scenario simulations, protocol optimization, recruitment forecasting, and digital twin models Work closely with multidisciplinary teams - data scientists, technologists, and client stakeholders - to co-create impact Translate complex data and analytics into actionable insights and recommendations for client decision-makers Contribute to internal capability development, thought leadership, and innovation initiatives within the R&D team and wider Life Sciences practice Qualification More ❯
collaboration, and high performance. Hold team members accountable for their performance and professional growth. Technical Expertise: Bring a deep understanding of data technologies, including batch processing, stream processing, storage, analytics, machine learning, and AI. Collaborate with Engineering teams to ensure the data platform meets technical requirements and supports product initiatives. Evaluate and implement new technologies and tools to enhance data … environment. Strong technical background and a degree in Computer Science, Engineering, or a related field. Hands-on experience with data technologies, including batch processing, stream processing, data warehousing, and analytics platforms. Proven track record of successfully leading product strategies that drive significant business outcomes. Experience in managing complex product portfolios and delivering results in a fast-paced, agile environment. Experience … GDPR, CCPA). Deep expertise in market analysis, user research, and business strategy development. Ability to translate market and user insights into actionable product strategies. Proficient in using data analytics to inform decision-making and measure product performance. Ability to synthesise complex data into clear insights and recommendations. Excellent verbal and written communication skills, with the ability to articulate complex 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 workflow efficiencies and implement technology solutions to enhance our systems, products, and processes, while providing customer support. … Stay updated with industry trends in data annotation, finance, and news. Participate actively in project and product coordination when needed. Qualifications: Bachelor's degree or higher in Statistics, Data Analytics, Data Science, or related STEM fields. At least four years of experience in data management concepts like data quality, sampling, and modeling. Experience with data visualization tools like Tableau or More ❯
We are looking for a skilled Senior Cloud and Data Solution Architect in the UK (based out of London) with a strong delivery and solutions back ground in Data Analytics and Cloud. The ideal candidate should have expertise in next-gen data technologies such as Microsoft, AWS, GCP, Snowflake, and Databricks. Sales, Delivery, Presales, Solutioning experience is mandatory within Data … Analytics alongside with the ability to deliver cloud-based enterprise platforms and data consulting skills is a must. Responsibilities: 16-18+ years of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers More ❯
We are looking for a skilled Senior Cloud and Data Solution Architect in the UK (based out of London) with a strong delivery and solutions back ground in Data Analytics and Cloud. The ideal candidate should have expertise in next-gen data technologies such as Microsoft, AWS, GCP, Snowflake, and Databricks. Sales, Delivery, Presales, Solutioning experience is mandatory within Data … Analytics alongside with the ability to deliver cloud-based enterprise platforms and data consulting skills is a must. Responsibilities: 16-18+ years of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers 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 ❯
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 ❯
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 ❯
Strategy Associate Director L5 Location : London Career Level: L5 Accenture is a leading professional services company that provides a wide range of services including strategy and consulting, data and analytics, technology and operation services worldwide. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. Accenture's … and AI. Our focus is on big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything-spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join More ❯
Applied Intelligence Strategy Manager Location : London Career Level: Manager Accenture is a leading professional services company that provides a wide range of services including strategy and consulting, data and analytics, technology and operation services worldwide. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. Accenture's … and AI. Our focus is on big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything-spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join More ❯
junior data scientists and data engineers in the team, helping shape the skills and values of the next generation of Cisco data scientists. Minimum Qualifications 6+ years of Advanced Analytics experience with a Masters Degree or 4+ years with a PhD in a Mathematics or Applied Mathematics, Operations Research, Economics, Econometrics, Physics, Computer Science, Engineering, or related quantitative field. Strong … complex or dynamic domains like marketing/pricing A practical and effective approach to problem-solving using AI/ML and a knack for envisioning, translating business requirements into analytics requirements, and realizing feasible data science solutions. Demonstrated team leadership, project management, and business stakeholder influencing skills Experience mentoring team members to improve their own technical and project management skills. More ❯
engineers to productionise solutions. What we’re looking for: Strong knowledge of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL skills Familiarity with coding best practices (version control, testing, documentation) Experience working with relational database systems More ❯
engineers to productionise solutions. What we’re looking for: Strong knowledge of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL skills Familiarity with coding best practices (version control, testing, documentation) Experience working with relational database systems More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Hanson Lee
Type: Permanent and Contract Options Location: London/Hybrid Responsibilities Interpret data, analyze results using statistical techniques, and provide ongoing reports. Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality. Acquire data from primary or secondary data sources and maintain databases/data systems. Identify, analyze, and interpret trends or patterns More ❯
Type: Permanent and Contract Options Location: London/Hybrid Responsibilities Interpret data, analyze results using statistical techniques, and provide ongoing reports. Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality. Acquire data from primary or secondary data sources and maintain databases/data systems. Identify, analyze, and interpret trends or patterns More ❯
levels within the salary range, so candidates are not expected to be experienced in all areas listed below. AI techniques (supervised and unsupervised machine learning, deep learning, graph data analytics, statistical analysis, time series, geospatial analysis, NLP, sentiment analysis, pattern detection, etc.) Python, R, or Spark for data insights Data Bricks/Data QISQL for data access and processing (PostgreSQL More ❯
emerging technologies in the future. This is an incredibly exciting time to join the business, and play a key role in really driving the use of AI and advanced analytics techniques to accelerate their journey to becoming a truly tech-driven and data-driven organisation. Requirements: Data Engineering experience - including building data models and structuring databases Proven experience building AI More ❯
emerging technologies in the future. This is an incredibly exciting time to join the business, and play a key role in really driving the use of AI and advanced analytics techniques to accelerate their journey to becoming a truly tech-driven and data-driven organisation. Requirements: Data Engineering experience - including building data models and structuring databases Proven experience building AI More ❯
capability growth Work with engineers to productionise solutions Requirements: Strong knowledge of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL skills Familiarity with coding best practices (version control, testing, documentation) Experience working with relational database systems More ❯
capability growth Work with engineers to productionise solutions Requirements: Strong knowledge of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL skills Familiarity with coding best practices (version control, testing, documentation) Experience working with relational database systems More ❯
ve worked with: SQL (Stored Procedures, SSMS), SSIS Cloud technologies like Snowflake and AWS Glue REST APIs and data integration strategies Campaign platforms like Acoustic, DotDigital, Salesforce Marketing Cloud Analytics and automation platforms such as Apteco Reporting tools like Tableau and Power BI Why Paragon DCX? We’re not just consultants, designers or developers. We’re a collaborative force of More ❯
