s degree or equivalent experience in a quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java more »
Greater London, England, United Kingdom Hybrid / WFH Options
InterEx Group
Data needs of a company utilizing data. Essential requirements: More than 3 years of presales experience in the design of Big Data and Data analytics solutions according to customer requirements Previous experience with the preparation of high-quality engaging customer presentations, excellent communication skills, experience in conversations at CxO level more »
*Intega IT Recruitment Ltd*I.T & Technology Recruitment Experts*
trends, and opportunities to innovate on behalf our customers. • Partner with data engineering to build best-in-class data architecture and pipelines to support analytics needs. • Translate ambiguous business problem statements into actionable analytical solutions. Manage large scale data requests and projects to define requirements, manage timelines, and coordinate activities more »
of technical skills, legal industry knowledge, and project management. Core Responsibilities Innovation: Develop and deploy legal tech solutions using AI, machine learning, and data analytics to improve efficiency and service quality. Data Strategy: Collaborate with data governance and security teams to create a comprehensive data strategy, ensuring data integrity and more »
our team should leverage to enable analytical and reporting capabilities for our business development team • Design and influence operational best practices for reporting and analytics to enable the team to scale • Prepare and deliver business reviews to the senior management team regarding progress and roadblocks • Work with engineering and the more »
and end-end delivery from discovery to go-live Deep understanding of data migration activities to seamlessly transition data to new platforms while leveraging analytics tools to derive insights and drive informed decision-making Qualifications & Experience As a Project Manager, you will play a crucial role in overseeing the successful more »
Server (SSIS, T-SQL, Stored procedures, Functions, Views, Queries, Datatype conversions, etc.).Experience working with APIs, Postman/SOAPUI tools, MS D365, ServiceNow, Azure Analytics tools, Azure Synapse, Azure BYOD & Data verse, Azure DevOps, Informatica, BI tools, etc. is a big plus.General business skills:Excellent communication to translate and explain more »
technical information to non-technical stakeholders. Team Player: Ability to work collaboratively in a fast-paced, multidisciplinary environment. Preferred Skills: Experience with energy market analytics, grid optimisation, or renewable energy forecasting. Knowledge of energy systems, including generation, transmission, and distribution. Familiarity with geospatial analysis and tools such as GIS. The more »
that includes Unilever, Google, The Estee Lauder Companies, and Volvo. Position Summary We are seeking a highly motivated Data Analyst to support our research analytics endeavours. This unique role offers the opportunity to work closely with both our data and research teams, gaining exposure to a wide range of projects more »
t-test, ANOVA), cluster analysis, LMDI, etc.- Strong communication, presentation & documentation skills.Preferred Qualifications:- A Bachelor's degree or higher in Management Information Systems, Business Analytics, Statistics or related subjects.- Proficiency in Excel sheets and hands-on experience in SQL/R/Python.- Wide experience in independently analyzing data, identifying more »
similar education in Mathematics, Statistics, Computer Science, Operations Research, Logistics, Supply Chain, Economics, Business Administration, or a similar related discipline• Work experience in business analytics with demonstrated proficiency in quantitative analysis• Advanced Microsoft Excel skills• Experience with SQL, Python, ML or other programming experience• Experience with data visualization using Tableau more »
Insurance, Healthcare, Defence, Technology, and others.AI technologies: Machine Learning, Time series, Natural Language Processing, Generative AI, Computer Vision, Operational Research, Engineering, Data Marketing, Data Analytics(For more information about our Data Science practice, visit our bots showroom : As a Manager/Senior Manager, you will be responsible for…Leading the more »
Healthcare, Defence, Technology, and others. AI technologies: Machine Learning, Time series, Natural Language Processing, Generative AI, Computer Vision, Operational Research, Engineering, Data Marketing, Data Analytics (For more information about our Data Science practice, visit our bots showroom : https://www.heka.ai/en As a Manager/Senior Manager, you more »
microservices, ETL pipelines, SaaS models, databases and vector stores. The MLOps Lead would need to act as an interface between data scientists, the data & analytics team and the platform engineering team. We need this role to keep upgrading our AI infrastructure to be more resilient and scalable, while we face more »
microservices, ETL pipelines, SaaS models, databases and vector stores. The MLOps Lead would need to act as an interface between data scientists, the data & analytics team and the platform engineering team.We need this role to keep upgrading our AI infrastructure to be more resilient and scalable, while we face increasing more »
on behalf of an International (Re)Insurance client based in London to recruit a Lead/Senior Data Engineer, joining an established team of Analytics Engineers helping optimise the Actuarial teams' efficiency through data automation and the use of emerging technologies. The successful candidate will work on the following: - Actuarial more »
City of London, London, United Kingdom Hybrid / WFH Options
Adecco
skills. Excellent communication and collaboration skills. Ideally we would be looking for 2-5 years' experience in a similar role of data engineer or analytics engineer. more »
per week in the London office (near Canary Wharf area) to collaborate with your team. In this role you will take responsibility for data analytics and Power BI reporting for the entire finance function This will involve building complex financial data models in Excel, working with data sources in SQL more »
week in the London office to collaborate with your team (near Canary Wharf area). In this role you will take responsibility for data analytics and Power BI reporting for the entire finance function This will involve building complex financial data models in Excel, working with data sources in SQL more »
week in the London office to collaborate with your team (near Canary Wharf area). In this role you will take responsibility for data analytics and Power BI reporting for the entire finance function This will involve building complex financial data models in Excel, working with data sources in SQL more »
our team should leverage to enable analytical and reporting capabilities for our business development team - Design and influence operational best practices for reporting and analytics to enable the team to scale - Prepare and deliver business reviews to the senior management team regarding progress and roadblocks - Work with engineering and the more »
engineering lifecycle across the business supporting the global data needs of various business functions. This role is a split between data engineering and data analytics and you will take a prominent role on a number of exciting projects. You will be joining a business that values its people at the more »
City of London, London, United Kingdom Hybrid / WFH Options
TECHNOLOGY RECWORKS LIMITED
SQL Good understanding of Azure infrastructure (Subscriptions/Resource Groups, Virtual Networks, Kubernetes, Security options, etc) Good understanding of modern reporting platforms (dashboarding, advanced analytics, AI) An ability to explain complex problems in a simple and effective manner Strong peer and senior stakeholder management skills (including engagement with exec level more »
strategic mindset to align architectural solutions with business goals. Experience working with the Azure data technology stack, including Azure Data Factory, Azure SQL, Synapse Analytics, and PowerBI. A proactive, self-starting approach with excellent organizational skills, capable of identifying issues, presenting solutions, and leading to resolution. Professional certifications/qualifications more »
data to determine user behavior or delivery process problems, and output solid analysis report with recommendation. · Serve as liaison between the WW Planning and Analytics team and the operations business teams to achieve the goal of providing actionable insights into current delivery performance, and ad hoc investigations into future improvements more »
