business value. Translate business needs to technical requirements and implementation. Experience of Big Data technologies/Big Data Analytics. C++, Java, Python, Shell Script R, Matlab, SAS Enterprise Miner Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributed computing tools like Map more »
or higher in quantitative finance, mathematics, computer science, physics, or a related field. Solid programming skills in languages such as Python, C++, Java, or R, with a strong emphasis on object-oriented programming and algorithm development. Proficiency in quantitative analysis, statistical modeling, time series analysis, and data visualization. Experience with more »
in the UK Proven experience in managing a team within the analytics space with a track record of driving business impact Proficiency in Python, R, SQL, and Power BI with experience across other BI visualisation tools and cloud technologies Experience in industries such as retail, finance, or consumer goods Evidence more »
City of London, London, United Kingdom Hybrid / WFH Options
GMA Consulting
skills & initiative whilst working to strict deadlines. Effective communication skills to help establish a network within the business. Knowledge of tools such as Python, R, or other analytical language/tools. Awareness of appropriate statistical techniques for insurance analysis. As a precondition of employment for this role, you must be more »
customer experience, increasing engagement, driving revenue, and optimizing business efficiencies. Technically they operate a Snowflake and DataBricks environment, leveraging SQL to extract data and R and Python for modelling and statistical analysis, building code and tools. They also have PowerBI for data visualization, but any similar tool will be considered. more »
Knowledge of SQL databases and experience in querying, extracting, and manipulating financial data from relational databases. Familiarity with programming languages such as Python or R for data manipulation, automation, and statistical analysis is beneficial. Demonstrable experience in leading and managing projects related to data and reporting automation, from inception to more »
Knowledge of SQL databases and experience in querying, extracting, and manipulating financial data from relational databases. Familiarity with programming languages such as Python or R for data manipulation, automation, and statistical analysis is beneficial. Demonstrable experience in leading and managing projects related to data and reporting automation, from inception to more »
or industry A minimum of 3 years of experience in quantitative research, within a multi-strategy hedge fund environment. Strong programming skills in Python, R, or C++, with a focus on Machine Learning libraries such as TensorFlow or scikit-learn. Demonstrated success in developing and trading medium frequency statistical arbitrage more »
learning techniques. • Proficiency in using Dataiku or similar data science platforms for data manipulation and modelling. • Strong programming skills in languages such as Python, R, or SQL. • Excellent communication and collaboration skills, with the ability to translate technical findings into actionable insights for non-technical stakeholders. If this sounds like more »
field of education. Expertise in AI and machine learning technologies with proficiency in Microsoft Azure offerings such as OpenAI. Strong programming skills in Python, R, C#, or similar, with experience in cloud computing platforms (AWS, Azure, Google Cloud). Strong problem-solving skills, with an emphasis on consensus building and more »
field of education. Expertise in AI and machine learning technologies with proficiency in Microsoft Azure offerings such as OpenAI. Strong programming skills in Python, R, C#, or similar, with experience in cloud computing platforms (AWS, Azure, Google Cloud). Strong problem-solving skills, with an emphasis on consensus building and more »
Greater Bristol Area, United Kingdom Hybrid / WFH Options
TP Group
through horizon scanning and roadmapping Create and use analysis tools, models and techniques to answer challenging client problems Typical languages/tools include Python, R, VBA, Simul8, Power BI and others Provide the evidence to support Government procurement decisions up to and including Category A Business Cases and Combined Effectiveness more »
Greater London, England, United Kingdom Hybrid / WFH Options
Annalect
in monitoring and improving ETL processes Produce recommendations based on findings Feedback any highlights/concerns to the team. Work closely with wider MI & R and TSOC teams such as analytics and engineering IDEAL CANDIDATE Minimum 3 years of experience in data operations, reporting, or a related business intelligence practice more »
to identify and implement process improvements in a controlled manner Numerate & analytical with knowledge of data management, PowerBI, Excel Proficient in Microsoft SQL, Python, R or similar Proven experience in topics like customer segmentation, CLTV, propensity modelling, next best actions, recommendations, price analysis Experience in Azure Data Factory, SSIS or more »
and commitment. Relevant experience of solving complex problems using data science, including either statistical modelling or using a programming language such as Python, SQL, R or C++ or similar. What you'll get for this role: Our purpose - with you today, for a better tomorrow - is a promise we make more »
reporting using various tools. Experience in PowerBI and Alteryx is desirable First-hand knowledge and application of predictive modelling and statistical methods (such as R or Python) is desirable. Broad and deep technical understanding of different analytics, tools and metrics and experience in communicating them to a wide audience. The more »
discipline (or equivalent experience). - Demonstrable proficiency in at least one compiled language (e.g., C++, Fortran, C, Rust) or advanced scripting language (Python, Julia, R, Swift Parallel Scripting). - Strong experience with the UNIX operating system, particularly the command line interface. - Practical experience in agile project management and software development more »
produce a variety of reports and dashboards. Desirable Knowledge of NHS data definitions Detailed knowledge of NHS data sets Knowledge of statistical tools, eg, R Knowledge of specialties and pathways within the NHS Experience of NHS capacity and demand modelling Forecasting Disclosure and Barring Service Check This post is subject more »
are looking for two Graduates to join their Analytics/Data Science team. The ideal candidate must have some programming experience (e.g Python, SAS, R etc) and have a numerate degree (e.g. Mathematics, Statistics, Operational Research, Economics, Physics etc). (No sponsorship available and must be able to work more »
have: Experience in Quantitative Analysis, Model validation or Development within a corporate & wholesale or investment bank. Working knowledge of SQL and other programming language (R, SAS, Python etc.) BSc/MSc Degree in a quantitative field (Finance, Mathematics, Economics, Engineering etc.) Excellent communication skills If this role sounds like one more »
strategic decision making across the business Ownership and influence of departmental budgets Essential Background: Strong data analytics skills using tools such as SQL, Python, R, Tableau, Power Bi Experience partnering senior stakeholders Excellent collaborative working skills Strong communicator What's in it for you? Competitive Salary Hybrid working Superb leadership more »
strategic decision making across the business Ownership and influence of departmental budgets Essential Background: Strong data analytics skills using tools such as SQL, Python, R, Tableau, Power Bi Experience partnering senior stakeholders Excellent collaborative working skills Strong communicator What's in it for you? Competitive Salary Hybrid working An opportunity more »
plus. Proven experience in credit risk analysis within a banking or financial services environment. Strong proficiency in statistical modeling and programming languages (e.g., SAS, R, Python) for data analysis. In-depth understanding of credit risk principles, regulatory requirements, and industry best practices. HOW TO APPLY Please send CV or apply more »
Clerkenwell, England, United Kingdom Hybrid / WFH Options
Marc Daniels
Knowledge of SQL databases and experience in querying, extracting, and manipulating financial data from relational databases. Familiarity with programming languages such as Python or R for data manipulation, automation, and statistical analysis is beneficial. Demonstrable experience in leading and managing projects related to data and reporting automation, from inception to more »
Knowledge of SQL databases and experience in querying, extracting, and manipulating financial data from relational databases. Familiarity with programming languages such as Python or R for data manipulation, automation, and statistical analysis is beneficial. Demonstrable experience in leading and managing projects related to data and reporting automation, from inception to more »