126 to 150 of 367 R Jobs

years of experience in a quantitative or finance-related discipline is a strong bonus. Strong programming skills in languages such as Python, R, or C++. Experience with data analysis and statistical modeling. Familiarity with machine learning frameworks and techniques. Excellent problem-solving abilities and attention to detail. Ability to work more »

validating credit risk models obtained from within a bank or a credit ratings agency. Some programming skills in a high-level language (e.g., Python, R, MATLAB, Excel VBA) and/or experience with econometric software packages (e.g., STATA, SAS). more »

departments. Qualifications: Degree in a numerical discipline or equivalent. Experience in insurance pricing or related analytical background. Proficiency in programming languages such as SAS, R, Matlab, or Python. Experience with predictive modelling techniques like Logistic Regression, Decision Trees, Random Forests, etc. Familiarity with Emblem and Radar. Strong communication skills to more »

in a highly numerate subject (e.g. Data Science, Computer Science, Mathematics, Statistics, Physics) Mandatory Experience Experience experience using open-source tools, such as Python, R and Git. Awareness of the limitations and ethics around using data from varying sources, including open data. Ability to design, write, and iterate code to more »

experience leading data science and machine learning initiatives, with a track record of delivering impactful solutions. Proficiency in programming languages such as Python or R, and experience with machine learning libraries and frameworks. Solid understanding of statistical analysis, data mining, and predictive modeling techniques. Excellent communication and interpersonal skills, with more »

be advantageous. Technical Qualifications: Advanced Data Skills: Demonstrated mastery in crafting and optimising complex SQL queries and managing large datasets. Can use Python/R for data analysis and exploration. Can build a dashboard if needed. Problem-solving and Adaptability: Exceptional problem-solving abilities to navigate complex challenges, coupled with more »

Coaching graduate analysts and support their development. YOUR SKILLS AND EXPERIENCE At least 3 years’ experience in general insurance pricing. Experience using SAS, Python, R or SQL. Experience in either Emblem or Radar is essential. Well versed in the UK personal lines insurance space and understand how the market works. more »

data science and/or statistical analyses with experience of building advanced models. Experience of coding languages used in the data science field (e.g. R, Python, SQL). Experience of working with product development teams LexisNexis Risk Solutions is an equal opportunity employer, and all qualified applicants will receive consideration more »

highly desirable but not essential Strong leadership and mentorship skills. Exceptional communication and interpersonal skills. Proficiency in data science tools and programming languages (Python, R, data visualization tools). What's in it for you: Competitive salary and performance-based bonuses. Flexible work hours and remote work options. Competitive pension more »

on experience as developer, programmer or data scientist would be preferred. Proficiency in programming languages commonly used in AI/ML, such as Python, R, C, C++, or Java, and their associated security considerations. Previous experience with ML, LLM, deep learning and data manipulation techniques, libraries, and frameworks such as more »

communications to your team to drive performance and effectiveness. Ideally experience within customer, market or location-based projects using a combination of GIS, Tableau, R and Python. Experience in a collaborative role with a natural ability to make strong and meaningful connections with others - clients and internal peers. Strong written more »

on experience as developer, programmer or data scientist would be preferred. Proficiency in programming languages commonly used in AI/ML, such as Python, R, C, C++, or Java, and their associated security considerations. Previous experience with ML, LLM, deep learning and data manipulation techniques, libraries, and frameworks such as more »

in an industrial or business environment, including an appreciation of the factors that lead to successful outcomes. * Strong programming skills, preferably in Python or R, and the ability to capture mathematical and statistical models in software. * Motivation to succeed in tackling high-value business challenges, and the ability to work more »

function Commercial function Strategy & Development function Finance Retail Leadership Team Required Skills & Experience: Desirable Skills & Experience: You have extensive programming ability across Python or R with a strong ability to use SQL. A strong understanding of efficiency and best practice in how code should be written and the ability to more »

discipline (e.g. computational fluid dynamics). Proficiency in at least one compiled level language (e.g., C++, Fortran, C, Rust) or advanced scripting language (Julia, R, Python), along with strong UNIX command line interface skills. Experience in modern software engineering practices. Ability to work within a diverse team while also taking more »

to judge the most appropriate techniques and presentation to utilise. Knowledge of designing and maintaining automated/advanced reporting systems using VBA, Python, DAX, R, or other languages would be an advantage but not essential. Please note that as part of the interview process there will be a technical skills more »

degree or equivalent in computational, mathematical, or physical sciences. - Proficiency in compiled language (e.g., C++, Fortran, C, Rust) or advanced scripting language (e.g., Julia, R, Python, Swift Parallel Scripting). - Strong familiarity with UNIX operating system, particularly the command line. - Proficiency in common visualisation frameworks like Kitware-Paraview, Omniverse, Blender more »

team/department projects to achieve a common goal • Strong analytical and statistical experience including GLMs • Confident with analytics tools including Emblem, Radar, SAS, R, Python, SQL, etc. • Experience and understanding of Commercial Lines insurance and products • Experience of coaching and developing analysts within a team What can we offer more »

. - Established knowledge of plasma physics and fusion energy. - Demonstrable experience with compiled level languages (e.g., C++, Fortran, C) or advanced scripting languages (Julia, R, Python). - A solid foundation in either numerical methods, high performance computing, scientific software engineering or machine learning. - An established track record of research publication more »

discipline (e.g. computational fluid dynamics). - Proficiency in at least one compiled level language (e.g., C++, Fortran, C, Rust) or advanced scripting language (Julia, R, Python), along with strong UNIX command line interface skills. - Experience in modern software engineering practices. - Ability to work within a diverse team while also taking more »

commercial or research environment). Demonstrable experience of at least one compiled level language (e.g. C++, Fortran, C, Rust) or advanced scripting language (Julia, R, Swift Parallel Scripting). Good experience of the UNIX operating system, particularly the command line interface. Experienceof agile project management and practical of software development more »

data and working with data warehouse environments, developing business intelligence products (including interactive visual reports), data modelling, and producing analysis using statistical software (e.g. R and Python). The Data Scientist will use their technical skills to implement statistical analysis, develop simulation models, data visualisation, and automated reporting solutions. Previous … relevant experience. Desirable Further training in analytics and statistical analysis where relevant Evidence of continued professional development Experience Essential Use of statistics software, including R and/or Python. Experience using MS office applications including Excel. Data retrieval using SQL, analysis and presentation of information. Experience analysing and visualising data … in R Experience of working in a large NHS organisation. Desirable Experience of working in a data science role Identifying and interpreting national policy and implementing required changes Knowledge and Skills Essential Skills in at least one programming language commonly used for analysis Advanced user of MS Office suite, in more »

growing our Data Science team – this is a new role, and we’re looking for a dynamic Data Scientist who will work alongside our R&D team to apply cutting-edge computation, data-driven methods, Machine Learning/Deep Learning approaches to accelerate our cell-cultivated meat programs by contributing … and automate review of experimental data enhancing bioprocess understanding Interacting closely with the team research scientists and bioprocess engineers in core scientific platforms/R&D will be your day to day, focusing on cell culture, media development and bioprocess optimisation…we’re a friendly bunch! And you’ll be … AI/ML/DL algorithms and research results to keep us ahead of the game In a nutshell: Here at Ivy Farm, the R&D requires modelling and data science expertise – the analysis of multi-dimensional data sets including in vitro cell culture studies, media development and small-scale more »

London - EnglandSales Support/Employee: Full Time/HybridWhy We Work at Dun & BradstreetDun & Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and more »

with benchmarking tools, activity forecasting, modelling, and statistical analysis. You will have proven experience in using SQL querying for analysis and programming languages such R or Python. Main duties of the job Provide specialist advice across a wide range of information areas: collation, analysis, interpretation, evaluation and timely reporting of … of MS Office suite, in particular Excel, PowerBI, and SQL Server Working knowledge of NHS Data Standards and Information Systems. Desirable Experience working with R and Python Statistical analysis and machine learning techniques NHS IT systems Knowledge of performance returns, definitions, guidance and performance management in the acute sector Understanding more »