26 to 50 of 341 Permanent R Jobs

and practical knowledge, intuition, ability to understand models and apply them). Expert programming skills in one or more analytical languages such as Python; R or alternative. Experience in cloud-based infrastructures such as AWS, Google Cloud, Microsoft Azure and confidence in Linux (bash, git docker) environments. The ability to more »

flexibility, agile mindset, teamwork, lean & 6Sigma principles, and actively pursue self-studies to maintain knowledge. The candidate: Proficiency in SQL, statistical modelling software (e.g., R, Python), Excel (advanced), Qlik Sense or Power BI gained in an analytics role. Strong verbal and written communication skills, translating detailed reporting outputs and statistics more »

in developing and implementing quality assurance frameworks for complex software systems or mathematical models. Strong proficiency in programming languages such as Python, Java, or R, with experience in test automation and scripting. Solid understanding of statistical methods, mathematical modelling techniques, and data analysis tools. Familiarity with regulatory requirements and industry more »

learning methods, such as regularization, random forests, neural networks and deep learning. Ability to write algorithms and implement pipelines in Python. Knowledge of Scala, R, is a plus. Experienced in SQL. Familiarity with various relational database platforms is a plus (SQL Server, MySql, PostgreSQL, Oracle, Snowflake, Vertica, etc). Ability 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 »

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 »

knowledge of applied modelling and analytics experience in applicable industry Have good understanding of statistical methods applied to data analysis Have user experience of R, Python or equivalent analytic software. Have understanding of various statistical methodologies including linear regression, logistic regression, and other advanced analytic techniques Have good written communication 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 »

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 »

statistical knowledge and data visualisation techniques. Preferred Skills, Qualifications and Experience Experience in name matching algorithms or highly proficient in MS Excel, PowerBI, SQL, R or Python. Experience in delivering solutions through quantitative research using large data sources. Self-motivated to problem solve, research and deliver change within the department. more »

Statistics, Data science/analytics, or other relevant scientific. Previous Statistical Programming experience within the pharmaceutical industry essential. Excellent knowledge of SAS essential and R or Python advantageous. Good working knowledge of data structures e.g. CDISC, SDTM, ADaM, Comprehension of clinical data standards (CDISC), TLFs, and submission guidelines Exposure to 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 »

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 »

with a public cloud provider (AWS, Azure, GCP, Oracle or related) Programming knowledge with one or more languages such as Python, C++, C, Matlab, R, Java, Rust or relate Master's degree in STEM subjects Research experience during or post education Desirables: Knowledge of AI capabilities, Data science background is more »

it using: Experience in the analytical world - data science, BI, statistical, or economic consulting Good working knowledge of modern data science analytical tools: Python, R, etc. Excellent communication, writing, and interpersonal skills Willingness and flexibility to travel across EMEA and globally if needed. Authorization to work in the UK. A more »

treasury is desirable but not essential. Experience of using relevant software and programming languages, i.e., SAS is desirable but not essential, SQL, Python or R experience would also be useful within the team. A flexible and adaptable approach to change and will support others to respond in a similar way. more »

PhD life sciences research experience, of which at least 5 years should have been spent doing bioinformatics, preferably in biotech or pharma. Proficiency in R or Python, and familiarity with workflow management tools such as snakemake or Nextflow. Basic proficiency with databases is expected. Experience with analysis of bulk and more »

technologies, including machine learning, natural language processing (NLP), and predictive analytics. Strong knowledge of programming languages commonly used in AI development, such as Python, R, or TensorFlow. Experience with AI frameworks and libraries, such as scikit-learn, spaCy, or PyTorch. Solid understanding of data preprocessing, feature engineering, and model evaluation more »

expertise with psychometrics , including the ability to understand and lead the design and validation of assessment tools. Extensive experience with SPSS/Jamovi/R (or equivalent) and Microsoft Excel for data analysis. Proven track record of managing end-to-end projects, demonstrating excellent organizational and project management skills. Ability more »

corporation is currently hiring an experienced consultant with strong capabilitiesin SDS coding, Experian PowerCurve and experience working with analytical tools such as SQL, SAS, R or Python. This is a 12 month contract opportunity paying up to £650 per day Inside IR 35 to be based in either London, Chath... more »

and insights to stakeholders at all levels of the organization Person we are looking for: Proficiency in programming languages and tools such as Python, R, Snowflake, dbt Experienced in mentoring & developing teams Strong understanding of statistical concepts, ML Ops tools, algorithms, and techniques, with practical experience in applying them to more »

prior experience in pricing analytics within insurance Essential to have experience using Emblem Good knowledge of programming software such as SAS, SQL, Python or R Prior experience with insurance pricing models, either in development or deployment SALARY AND BENEFITS Up to £70,000 base salary Discretionary bonus scheme Contributory pension more »

the right candidate. Requirements: Significant experience in Data Science, preferably with a prior experience in or working for a Market Research driven organisation Python, R, SQL, SAS Strong, comprehensive technical understanding of data science concepts and processes Experience working in a client facing capacity Exceptional communication skills Alongside a competitive more »

prior experience in pricing analytics within insurance Essential to have experience using Emblem Good knowledge of programming software such as SAS, SQL, Python or R Prior experience with insurance pricing models, either in development or deployment SALARY AND BENEFITS Up to £70,000 base salary Discretionary bonus scheme Contributory pension more »

to finance and/or investments. Progress towards FIA or CFA preferred. Good modelling skills, preferably in VBA & Python, with other languages such as R and Julia also desirable. 4-7 years relevant experience within Financial Services, Asset Management, Insurance Investment or Investment Consulting. Location: London Salary: Up to more »