201 to 225 of 849 R Jobs

Science, Artificial Intelligence, Engineering, or a related field. Proven experience in designing, developing, and deploying machine learning models and AI algorithms. Strong proficiency in programming languages such as Python, R, or Java. Solid understanding of data processing, feature engineering, and data analytics. Ability to collaborate effectively with cross-functional teams including data scientists, engineers, and product managers. Strong problem-solving More ❯

Director, Europe Commercial Finance page is loaded Director, Europe Commercial Finance Apply locations Cork, Ireland Aachen, Germany time type Full time posted on Posted Yesterday job requisition id R Job Description The Team: The Finance team has strong business partnerships and drives financially informed decisions in support of the company's strategic objectives and financial framework. We are investing in More ❯

with human-in-the-loop (HITL) systems, annotation platforms, and quality review pipelines. Knowledge of satellite imagery analysis. Proficiency in remote sensing techniques and image classification. Familiarity with Python, R, MATLAB and libraries like TensorFlow, PyTorch, OpenCV. Familiarity with Convolutional Neural Networks (CNN)s, object detection, segmentation, and classification models. Familiarity with REST APIs and integrating models into web-based More ❯

with human-in-the-loop (HITL) systems, annotation platforms, and quality review pipelines. Knowledge of satellite imagery analysis. Proficiency in remote sensing techniques and image classification. Familiarity with Python, R, MATLAB and libraries like TensorFlow, PyTorch, OpenCV. Familiarity with Convolutional Neural Networks (CNN)s, object detection, segmentation, and classification models. Familiarity with REST APIs and integrating models into web-based More ❯

contributing to the design, improvement, and implementation of better workflows and smarter insurance analytics. Ability to learn and adapt to new technologies quickly. Previous experience with coding (e.g., SQL, R, Python, Java) and working with large data sets is an advantage. Strong communication and presentation skills, including the ability to move between the minutiae of functional specifications and overarching business More ❯

contributing to the design, improvement, and implementation of better workflows and smarter insurance analytics. Ability to learn and adapt to new technologies quickly. Previous experience with coding (e.g., SQL, R, Python, Java) and working with large data sets is an advantage. Strong communication and presentation skills, including the ability to move between the minutiae of functional specifications and overarching business More ❯

to gather and translate data requirements . E nsuring data models support operations, business intelligence and analytics use cases . I mplementing and maintaining metadata and data dictionaries . R eviewing and optimising existing data models for performance and scalability . E nsuring data models align with data governance and security standards . M entoring junior data modellers and supporting More ❯

into compelling insights that inform strategic decision-making and improve customer satisfaction and conversion. Key Responsibilities Design and maintain analytical models, dashboards, and visualisations using tools such as Python, R, Tableau, or Power BI. Apply machine learning and natural language processing techniques to both structured and unstructured data sources. Monitor key CX metrics (NPS, CSAT, conversion rates) to identify emerging … and problem-solving skills with a keen eye for detail. The ability to communicate insights clearly and persuasively to non-technical audiences. Experience with data tools such as Python, R, Tableau, or Power BI. Interest or experience in customer experience and Voice of Customer (VoC) insights. Bonus skills (not required): Experience with predictive modelling, NLP, or large language models. Exposure More ❯

to recommend necessary improvements to achieve the Customer's vision. Desired Skills: 1. Experience with Power BI or other BI tools. 2. Experience with Python development. 3. Experience with R, Tableau, or other data visualization/analytical software. More ❯

communication and stakeholder engagement abilities Strategic mindset with a focus on risk, governance, and transformation Proven ability to lead projects and coach others Technical skills to include: Python or R Pyspark Experience of deploying models AWS cloud Experience of GenAi Experience of working in a large complex organisation. Finance sector would be desirable, but not essential. Locations: London, Northampton, Manchester More ❯

in mathematics, physics, engineering, finance, or related field) Experience with portfolio risk analytics and tools (e.g., factor models, VaR engines) Solid programming skills (Python strongly preferred; familiarity with SQL, R, or C++ a plus) Familiarity with systematic or algorithmic trading strategies High attention to detail, curiosity, and the ability to challenge assumptions constructively More ❯

in mathematics, physics, engineering, finance, or related field) Experience with portfolio risk analytics and tools (e.g., factor models, VaR engines) Solid programming skills (Python strongly preferred; familiarity with SQL, R, or C++ a plus) Familiarity with systematic or algorithmic trading strategies High attention to detail, curiosity, and the ability to challenge assumptions constructively More ❯

in mathematics, physics, engineering, finance, or related field) Experience with portfolio risk analytics and tools (e.g., factor models, VaR engines) Solid programming skills (Python strongly preferred; familiarity with SQL, R, or C++ a plus) Familiarity with systematic or algorithmic trading strategies High attention to detail, curiosity, and the ability to challenge assumptions constructively More ❯

in mathematics, physics, engineering, finance, or related field) Experience with portfolio risk analytics and tools (e.g., factor models, VaR engines) Solid programming skills (Python strongly preferred; familiarity with SQL, R, or C++ a plus) Familiarity with systematic or algorithmic trading strategies High attention to detail, curiosity, and the ability to challenge assumptions constructively More ❯

in mathematics, physics, engineering, finance, or related field) Experience with portfolio risk analytics and tools (e.g., factor models, VaR engines) Solid programming skills (Python strongly preferred; familiarity with SQL, R, or C++ a plus) Familiarity with systematic or algorithmic trading strategies High attention to detail, curiosity, and the ability to challenge assumptions constructively More ❯

unified approach to data. YOUR SKILLS AND EXPERIENCE: Significant experience working with data in an analytical role, ideally in a consumer/tech company. Proficiency in SQL, dbt, Python, R and BI tools such as Looker, Lightdash or Tableau. Ability to translate business problems into analytical tasks and communicate insights clearly at all levels. AB testing/experimentation experience Strong More ❯

regulations such as GDPR and HIPAA. Document architectures, workflows, and data processes while applying modern DevOps best practices. You will bring: Strong proficiency in programming languages such as Python, R, and SQL, with experience in cloud-based services for data engineering. Solid understanding of relational databases, data modeling, and unstructured database technologies (e.g. NoSQL, Graph). Familiarity with containerisation (e.g. More ❯

Behaviours: Collaborative and team player Logical thinker with a professional and positive attitude Passion to innovate and improve processes Strong grasp of industry standards, and proficient in either Python, R, or both More ❯

Behaviours: Collaborative and team player Logical thinker with a professional and positive attitude Passion to innovate and improve processes Strong grasp of industry standards, and proficient in either Python, R, or both More ❯

experiments Build data environments Qualifications Required Skills & Experience: Demonstrated experience applying data science methods to real world data problems Proficient with one or more programming languages (Java, C++, Python, R, etc.) Due to US Government Contract Requirements, only US Citizens are eligible for this role. Education & Certifications: Bachelor's degree in operations research, industrial engineering, applied mathematics, statistics, physics, computer More ❯

markets, proliferated architectures) • Cost Estimating using parametric approaches, with preference for space system experience (including software estimating) • Tool development using COTS (i.e., MS Excel), custom code, or FOSS (i.e., R, Python) • Space hardware, bus, and payload, Cost Estimating Experience on multiple space-related product lines; GEOINT, SIGINT, COMM, Resiliency capabilities • Space System Cost Estimating (e.g., NRO systems, NASA/AF More ❯

limited to): Identify new sources of data and methods to improve data collection, analysis, and reporting Collect customer requirements Determine technical issues Design algorithms and data manipulation capabilities using R, Python, C++, JavaScript, Go, and other known programming languages. Build data solutions, tools, and capabilities to enable self-service frameworks for data consumers to monitor and report on data. Improve More ❯

inference techniques to support study validity and robustness Ideal Candidate MSc/PhD in Epidemiology, Pharmacoepidemiology or a science-based subject (biochemistry etc) Strong coding skills in SQL plus R or Python (this is non-negotiable) Experience delivering end-to-end observational studies using real-world datasets Proficient in study design, regulatory writing (protocols, SAPs, TFLs, CSRs) Knowledge of coding More ❯

inference techniques to support study validity and robustness Ideal Candidate MSc/PhD in Epidemiology, Pharmacoepidemiology or a science-based subject (biochemistry etc) Strong coding skills in SQL plus R or Python (this is non-negotiable) Experience delivering end-to-end observational studies using real-world datasets Proficient in study design, regulatory writing (protocols, SAPs, TFLs, CSRs) Knowledge of coding More ❯

inference techniques to support study validity and robustness Ideal Candidate MSc/PhD in Epidemiology, Pharmacoepidemiology or a science-based subject (biochemistry etc) Strong coding skills in SQL plus R or Python (this is non-negotiable) Experience delivering end-to-end observational studies using real-world datasets Proficient in study design, regulatory writing (protocols, SAPs, TFLs, CSRs) Knowledge of coding More ❯