46 to 70 of 383 R Jobs in England

experience with data modeling (dimensional modeling), warehousing, processing (MapReduce), and transformation techniques. Expertise in SQL and at least one analytical programming language (Python preferred, R or Julia). Advocate of IAC principles and best practice coding (GIT, SVN). Ability to optimize workflows and analysis for MapReduce processing. Proficiency with more »

Master’s degree in business or other applicable discipline Hands-on analytical experience Power BI or comparable BI software (Tableau, Looker, Qlik, etc) SQL, R, Python or equivalent statistical modeling tools (e.g., Regress, SAS, etc more »

Qualifications: Master's degree in a relevant field. Certifications in OrgVue or related analytics tools. Experience with additional data science and analytics tools (e.g., R, Python, Tableau). The client is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. more »

making and its associated algorithms is essential Strong understanding of financial markets, trading dynamics, and market microstructure. Proficiency in programming languages such as Python, R, or C++, with experience in quantitative libraries and tools (e.g., NumPy, pandas, TensorFlow). Experience with data analysis, statistical modeling, and machine learning techniques applied more »

subject (computing, programming, mathematics, statistics, actuarial science, or another technical field) Highly skilled in statistical, modelling and scripting programming languages such as Python and R, or similar, as well as visualisation packages Expert in data management programming such as SQL Experience bringing predictive models into a production environment Possess vast more »

a Data Scientist with a strong track record in leading and delivering advanced data science projects, particularly within the Insurance Domain. in Python or R programming languages, extensive experience with ML algorithms and models, including Regression, Tree-based, Unsupervised, and NLP. of statistical analysis, hypothesis testing, experimental design, and expertise more »

data visualisation techniques Sheets/Excel, Google Analytics/Tag Manager. Bash (or shell environments in general) cloud computing (e.g. GCP, Azure) Python/R (optional) Experience with Tableau, Looker or similar BI packages is also desirable. If you are a "data champion" who is looking to take on a more »

or Ph.D.) in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering. Strong programming skills in languages such as Python, R, or C++. Proficiency with statistical and machine learning techniques. Experience with data analysis and quantitative modeling in financial markets. Familiarity with futures markets and intraday more »

Data Science, or a related field. Extensive knowledge of machine learning algorithms, statistical methods, and AI techniques. Proficiency in programming languages such as Python, R, or similar, and experience with machine learning frameworks (TensorFlow, PyTorch, etc.). Proven track record of conducting AI/ML research, with publications in top more »

finance, mathematics, or a related field. Track record of 6-18 months of real-world trading experience. Proficiency in programming languages such as Python, R, or MATLAB. Experience with statistical analysis, machine learning, and data manipulation. Excellent problem-solving skills and attention to detail. Ability to work effectively in a more »

with the ability to translate complex data into actionable recommendations and insights. ?Strong proficiency in data analysis tools and programming languages such as Python, R, SQL, etc. If you're excited by the idea of joining a passionate team of data-driven analysts, developers & strategists, we'd love to hear more »

interpreting and then communicating trends in large sets of data Helping teams to build accurate computational models using multiple levels of fidelity Expertise in R, Python or MATLAB Excellent interpersonal skills, with an ability to interact with staff at all levels and specialisms Although not to be considered a full more »

Computer Science with an Interest in finance and financial instrument valuation, hedging and structuring. Familiarity in programming in a high-level language (e.g. Python, R, MATLAB, Excel VBA) and/or experience with econometric software packages (e.g. STATA, SAS). An effective communicator with an Intellectual curiosity and analytical mind more »

Azure and AWS. Ability to design multi-step data pipelines combining scripted transformation and API calls to various services. Data Science Use Python or R, alongside SQL to analyse and model complex, high volume data. Develop and apply clustering, classification, regression, anomaly detection, natural language processing, or GenAI models to more »

decision-making are at the heart of their growth and customer success. They are now seeking a skilled Data Analyst with expertise in Python, R, or JavaScript to join a highly talented team. If you are passionate about data analysis and looking to make an impact in the financial industry … role in extracting, analyzing, and interpreting complex data sets to support business strategies and decision-making processes. You will leverage your expertise in Python, R, or JavaScript to develop insightful analyses and contribute to the optimization of our data infrastructure. Key Responsibilities: Data Extraction and Analysis: Extract, clean, and analyze … large datasets to identify trends, patterns, and insights that drive business decisions. Tool Development: Utilize Python, R, or JavaScript to develop and maintain analytical tools and models. Reporting: Create comprehensive reports and visualizations to communicate findings to stakeholders and senior management. Collaboration: Work closely with cross-functional teams, including IT more »

is currently Tableau but they’re in the process of shifting over the PowerBI. From a language perspective you’ll be using Python and R to dig deep into the expansive data sets on offer. This is the perfect opportunity to join a business with a stellar track record of more »

insight from the data sets. You must also have strong skills in data modelling, warehousing and processing as well as a good understanding of R, Python or Julia from a programming perspective. Finally you need to be an expert in SQL with knowledge of at least one BI tool such more »

come up new HFT/MFT trading strategies Hands on knowledge in applying statistical and machine learning methods to financial data using Python/R Comfortable taking ownership of projects and responsibilities with minimum supervision At least a bachelors degree in Computer Science, Mathematics, Statistics, Data Science or other quantitative more »

Mathematics, Statistics, Finance, Economics, or a related field. Strong analytical skills with a passion for problem-solving. Proficiency in programming languages such as Python, R, or MATLAB. Knowledge of statistical techniques and quantitative methods, including time series forecasting and predictive modelling. Excellent communication skills and ability to work collaboratively in 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 »

services Any cloud knowledge beneficial - Azure, AWS etc A grounding in maths, stats or software or data engineering Any experience of SQL, Python or R would be advantageous If you are a Data Analyst or Data Engineer and looking for an opportunity to grow and progress your career then apply more »

with probabilistic modeling and risk management techniques. Experience in risk management or project management is highly desirable. Proficiency in programming languages such as Python, R, C++ or SQL. Strong understanding of machine learning algorithms, statistical methods, and probabilistic modeling techniques. more »

Experience of statistical methodologies and data analysis techniques Ability to produce clear graphical representations and data visualisations. Knowledge of data analysis tools, for example, R Programming, Tableau Public, SAS, Apache Spark, Excel, RapidMiner Knowledge of data modelling, data cleansing, and data enrichment techniques An understanding of data protection issues Experience 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 »