focused mind set Organised & collaborative Nice to have skills Business knowledge: Asset Management, Equity, Fixed Income, OTC and Exchange Traded Derivatives, Fund Management, Security Analytics, Client Reporting, Performance Measurement and Regulatory reporting Previous finance experience, especially middle and back-office processes ‘Big data’ analysis experience preferred Methodologies: Agile Machine Learning more »
engineer. You have a bachelor s degree in computer science, data science, mathematics, or a related field. Master s degree in computational linguistics, data analytics, or similar is a plus. You have advanced proficiency with Python, Java, and R code writing. You have extensive knowledge of ML frameworks, libraries, data more »
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 more »
organisationA background in Financial Services (e.g. banking, insurance, investment management)Hands-on experience in data management tooling (e.g. Collibra, Solidatus, Talend, Ataccama) and data analytics implementation (e.g. Power BI, Tableau, QlikView or Sense)A strong understanding of the difficulties, opportunities and regulations (e.g. ESG, LIBOR, BCBS-239, CCAR, GDPR, Consumer more »
We are currently recruiting for a skilled Technical Consultant with solid experience in Content Processing. You will work as part of a small team, working in close conjunction with other teams both within the customer organisation and within the larger more »
various industries, delivering data science solutions to support improved omnichannel customer experience and campaign performance. You will use a variety of data science and analytics techniques and tools, such as Python, Google Analytics and BrandWatch, to deliver insights and measurement around web, search and social data, working with API's … There is strong ambition and scope and deliver more advanced machine learning projects, so it's important your skills can span a range of analytics and more advanced data science projects, helping to win work in this space. Responsibilities: Build and maintain robust statistical algorithms and predictive models to support … data analytics projects around customer, digital marketing and product performance. Pull data from various API's to bridge gaps in traditional data sources and tools. Translate complex data findings into compelling presentation for non-technical audiences ,through building beautiful data visualisations Work in partnership with creative teams to support data more »
About the Job You're Considering The Oracle Data & Analytics consultant will be aligned within our Enterprise Data Management practice, which has a strong focus on leading technology vendors spanning data warehousing, data quality, data governance, data integration and analytics. Capgemini is an Oracle Platinum Cloud Premier Partner giving you … Your Role At Capgemini you will be able to harness your experience to technically implement complex solutions in the data warehousing, data integration and analytics space. Oracle s cloud-first strategy is creating new opportunities that enable our clients to modernise their data landscape and take insight to the next … level. What you ll do Operate as an customer facing consultant on the design and implementation of complex data and analytics led solutions, including working in mixed onshore/offshore teams, across the whole of the UK Advocate Oracle s latest technologies both internally and in the wider market Work more »
the brightest minds that share our purpose and want to make a difference. Job Description An exciting opportunity has arisen in our Global People Analytics team the People Analytics Lead role has become available for a fixed-term one-year period. This role sits within the People Technology & Analytics (PTA … organisation, and reports into the Global Head of People Analytics & Insights at Experian. The People Analytics team at Experian is responsible for delivering insights across the full employee lifecycle from core management information to predictive solutions, overseeing global and regional people insights alongside bespoke analytics projects. The team are highly … will play a part in optimising and shaping the agenda, producing insightful, valuable, and commercial insights into people activity at Experian. In the People Analytics Lead role you will lead a small team of analytics experts and will deliver a range of solutions to our HR and business stakeholders from more »
in Pyspark and SynapseExperience with data modelling and visualisation in Power BI (or alternative)A strong understanding of architecting data platforms, BI, MI, or analytics solutionsStrong experience using Azure Data Lake, Azure Data FactoryDeliver the automation data pipelines and building of a scalable data architecture. more »
data into actionable insights. Strong analytical and problem-solving abilities This is a great opportunity to work with an award-winning Data Management and Analytics consultancy, working closely with leading software vendors and top industry experts across a range of sectors, unlocking value and insight from their data. On offer more »
data platforms leveraging AWS and key technologies like CDAP, Snowflake, and Databricks. You will design and implement robust and scalable data pipelines, ETL, and analytics systems in the cloud. Responsibilities: Develop and enhance data pipelines, ETL processes using CDAP on AWS infrastructure. Build data integration flows to migrate large datasets more »
documentation best practices Adheres to quality engineering practices including TDD and BDD Nice to have: Kubernetes EKS/AKS/OpenShift Databricks Experience Log Analytics SSO experience Recent Java experience I will be reviewing profiles on Wednesday and Thursday morning, please apply by then to be considered more »
Azure SQL DB, Synapse and visualization with expertise skills in terms of performance tuning and advanced troubleshooting. 8+ years of experience in data architecture, analytics, design and development Good working knowledge in trouble shooting data warehouse/analytical systems using Azure Synapse. Strong, in-depth experience in data modelling and more »
product managers, data scientists, and stakeholders? If so, we have an exciting opportunity for you! What you will be doing: Develop proprietary data and analytics solutions Provide technical guidance and code reviews to other team members Design, develop and deploy high-performance solutions that process large volumes of data Must more »
Greater London, England, United Kingdom Hybrid / WFH Options
Anson McCade
a Senior Data Engineer to the team based in London. Requirements of a Senior Data Engineer; Adeptness in utilising AWS and Azure data and analytics services (or their open-source equivalents), including but not limited to EMR, Glue, RedShift, Kinesis, Lambda, Data Factory, and Databricks. Strong experience in data engineering more »
as Apache Airflow, BigQuery, Python, and SQL to transform and load large data sets, ensuring high data quality and accessibility for business intelligence and analytics purposes. Our business is growing quickly and with that so the scale of our data, we are currently working on several initiatives to improve our more »
a Principal Data Engineer to the team based in London. Requirements of a Principal Data Engineer; Adeptness in utilising AWS and Azure data and analytics services (or their open-source equivalents), including but not limited to EMR, Glue, RedShift, Kinesis, Lambda, Data Factory, and Databricks. Strong experience in data engineering more »
the Data Analyst will include: Interpreting data, analysing results using statistical techniques and providing ongoing reports Developing and implementing databases, data collection systems, data analytics and other strategies Acquiring data from data sources and maintaining databases/data systems Identifying, analysing and interpreting trends or patterns in complex data sets more »
maintain reports and data models in Power BI. Clearly define and understand data requirements. Identify data sources and collaborate with the internal Data and Analytics team. Create data models within Power BI for efficient data retrieval and performance. Design business intelligence reports and dashboards using wireframes. Document KPIs and reports. more »
months successful tenure previous individuals have moved internally into .... Lead roles Quant Development High performance development and Algo Engineering teams Risk and Analytics teams Opportunity for internal mobility to APAC and East Coast U.S promoted. Desired background and skills 3+ years of exp. as a Software Engineer/Big more »
London, England, United Kingdom Hybrid / WFH Options
Client Server
the current monolith systems, making strategic technology recommendations for improvements and helping to deliver a long term strategic project to re-engineer the data analytics platform using modern technologies such as .Net Core, microservices and distributed systems engineering. Location/WFH Policy: You'll join a small group of accomplished more »
a hybrid role, requiring 2 days in the office and 3 days at home per week. You will be joining their growing Data and Analytics team, who have been re-building and enhancing their Customer Data Platform in partnership with a well-renowned tech consultancy, to deliver better value and more »
a hybrid role, requiring 2 days in the office and 3 days at home per week. You will be joining their growing Data and Analytics team, who have been re-building and enhancing their Customer Data Platform in partnership with a well-renowned tech consultancy, to deliver better value and more »
a hybrid role, requiring 2 days in the office and 3 days at home per week. You will be joining their growing Data and Analytics team, who have been re-building and enhancing their Customer Data Platform in partnership with a well-renowned tech consultancy, to deliver better value and more »
findings clearly to stakeholders. Required Qualifications - Master s degree (or equivalent) in a quantitative field (e.g., Computer Science, Engineering). - 7+ years in quantitative analytics or data modeling, with a deep understanding of machine learning, predictive modelling, and algorithms. - Proficiency in Python and SQL. Nice to Have - Leadership and project more »
