26 to 50 of 245 Remote R Jobs

design, recommend, document and execute consumer credit underwriting and pricing strategies via extracting and analyzing requisite historical customer performance data from multiple disparate systems Utilize data query tools (i.e., R, SAS, SQL, MATLAB, Python) and decision tree analytical software to develop, test and execute new strategies Leverage traditional regression model and machine learning algorithm to understand the key drivers and More ❯

a strategic roadmap across analytics, automation, and change. Solid knowledge of data analytics, people metrics, and experience using technology, platforms, and tools (e.g., SuccessFactors, Power BI, Tableau, Python/R, SQL). Familiarity with AI/ML techniques and how they can be applied to improve people processes and decision-making. Knowledge of responsible AI, data ethics, or regulatory frameworks More ❯

competence in Microsoft Office software - Excel High degree of competence using Visualisation tools such as Power BI High degree of competence in using programming languages such as SQL, Python & R Qualifications for the Data Analyst: Degree level qualification in Computer Science, Data Science, Mathematics or Engineering, or relevant demonstrable experience, skills and qualifications. Security Clearance The successful candidate must be More ❯

customer data. Stakeholder engagement and communication skills, both written and oral. Experience building self-service tools (e.g., in Power BI). Desirable but not essential: experience with Python or R, exposure to machine learning/predictive analytics. Preferred (not required): background in retail or related customer-focused environments. Team culture is really important here, and recently, internal surveys scored the More ❯

and techniques to enhance audit processes. For example: Excel: Advanced skills in data manipulation, pivot tables, and data visualisation. SQL: Ability to query and analyse large datasets. Python/R: Experience with programming languages for data analysis and automation. Tableau/Power BI: Expertise in creating interactive dashboards and visualisations. ACL/Galvanize: Familiarity with audit-specific data analytics tools. More ❯

Creative thinking in data collection and analysis, with a willingness to learn new skills and identify opportunities. Interest in segmentation, generative AI, conjoint analysis, and related techniques. Proficiency in R and/or Python. Experience with segmentation techniques such as k-means, latent class, hierarchical, and factor analysis. Understanding of working with market research and customer databases. Knowledge of statistics More ❯

quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. Excellent problem-solving skills and attention to detail. Strong communication skills with the ability to present complex data insights to non-technical stakeholders. Willingness More ❯

approach to often unfamiliar subject matter. The following attributes and areas of experience will make you particularly suited to this role with Actica: Coding e.g. expertise in Python or R; Collaborative, team-based development; Cloud analytics platforms e.g. relevant AWS and Azure platform services; Data tools hands on experience with Palantir ESSENTIAL; Data science approaches and tooling e.g. Hadoop, Spark More ❯

approach to often unfamiliar subject matter. The following attributes and areas of experience will make you particularly suited to this role with Actica: Coding e.g. expertise in Python or R; Collaborative, team-based development; Cloud analytics platforms e.g. relevant AWS and Azure platform services; Data tools hands on experience with Palantir ESSENTIAL; Data science approaches and tooling e.g. Hadoop, Spark More ❯

approach to often unfamiliar subject matter. The following attributes and areas of experience will make you particularly suited to this role with Actica: Coding e.g. expertise in Python or R; Collaborative, team-based development; Cloud analytics platforms e.g. relevant AWS and Azure platform services; Data tools hands on experience with Palantir ESSENTIAL; Data science approaches and tooling e.g. Hadoop, Spark More ❯

as well as experience performing biological network and pathway analysis and data interpretation Strong problem definition, solving and technical expertise with demonstrated programming skills in Python and/or R Problem solving skills in a fast-moving environment, keeping pace with advances in bioinformatics and to enjoy challenging goals High self-motivation, with a proven track record of collaborating effectively More ❯

tools) Understanding of data warehousing concepts and ETL processes Excellent problem-solving and communication skills Nice to Have Experience with cloud platforms (e.g., Azure, AWS) Knowledge of Python or R for data analysis Familiarity with Agile methodologies What We Offer Competitive salary (£40K–£50K depending on experience) Hybrid working model (2 days onsite in Leeds) 25 days holiday + bank More ❯

science). A PhD is preferred, preferably in life sciences prior experience in a biomedical/pharmaceutical or medical communications environment expert-level proficiency in Python and/or R a strong foundation in data manipulation and analysis (pandas, tidyverse) experience in version control systems (Git) and collaborative development practices an understanding of databases (SQL and/or NoSQL) and More ❯

science). A PhD is preferred, preferably in life sciences prior experience in a biomedical/pharmaceutical or medical communications environment expert-level proficiency in Python and/or R a strong foundation in data manipulation and analysis (pandas, tidyverse) experience in version control systems (Git) and collaborative development practices an understanding of databases (SQL and/or NoSQL) and More ❯

science). A PhD is preferred, preferably in life sciences prior experience in a biomedical/pharmaceutical or medical communications environment expert-level proficiency in Python and/or R a strong foundation in data manipulation and analysis (pandas, tidyverse) experience in version control systems (Git) and collaborative development practices an understanding of databases (SQL and/or NoSQL) and More ❯

science). A PhD is preferred, preferably in life sciences prior experience in a biomedical/pharmaceutical or medical communications environment expert-level proficiency in Python and/or R a strong foundation in data manipulation and analysis (pandas, tidyverse) experience in version control systems (Git) and collaborative development practices an understanding of databases (SQL and/or NoSQL) and More ❯

Advanced experience in business intelligence within a marketing, media, or customer analytics setting Proven expertise with Power BI, Tableau, or Looker , and data scripting tools like SQL, Python or R Strong domain knowledge of digital performance metrics , CRM data , and lifecycle marketing KPIs (e.g. CLTV, engagement, retention) Understanding of ATL measurement methodologies , including econometrics and brand tracking Hands-on experience More ❯

Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure. Technical Skills Good to have: Expertise in any one framework (TensorFlow, Pytorch, Keras) Experience in a statistical programming language (e.g. R or Python) and applied machine learning and AI techniques (i.e computer vision, deep learning, conversational AI, and natural language processing frameworks.) Experience with Transforms Architecture Design, specializing LLM (Zero/ More ❯

analysis, machine learning, meta-analysis, mixed effect modeling, longitudinal modeling, Bayesian methods, variable selection methods (e.g., lasso, elastic net, random forest), design of clinical trials. Strong programming skills in R and Python. Demonstrated knowledge of data visualization, exploratory analysis, and predictive modeling. Excellent interpersonal and communication skills (verbal and writing). Ability to develop and deliver clear and concise presentations More ❯

processes across the organisation What We’d Like You to Bring: Strong proficiency in statistical analysis, machine learning, and predictive modelling Advanced knowledge of programming tools such as Python, R, and Microsoft SQL Proven ability to translate complex data into meaningful business recommendations Experience managing multiple projects with competing deadlines High-level communication skills with the ability to influence and More ❯

experience in data handling, interpretation, and visualisation across a broad spectrum of data analytics within innovation/scale-up environments. Proficiency in tools such as Excel, SQL, Python, or R; experience with platforms like Power BI, Tableau, or Looker. A track record of producing accurate, high-quality outputs with attention to detail. Experience in business modelling and performance tracking in More ❯

product we deliver aligns closely with user needs and provides value to the wider Modo team. Qualifications: 3 to 5 years experience using Python (or another programming language e.g. R, C++, Java) and with the scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). Strong quantitative skills and a proven track record of solving complex technical problems using data analysis More ❯

product we deliver aligns closely with user needs and provides value to the wider Modo team. Qualifications: 3 to 5 years experience using Python (or another programming language e.g. R, C++, Java) and with the scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). A degree in a quantitative field such as mathematics, engineering, computer science, physics or a related More ❯

product we deliver aligns closely with user needs and provides value to the wider Modo team. Qualifications: 3 to 5 years experience using Python (or another programming language e.g. R, C++, Java) and with the scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). A degree in a quantitative field such as mathematics, engineering, computer science, physics or a related More ❯

relevant discipline. Experience analysing data in a utility, infrastructure or engineering context. Strong skills in Excel, SQL and Power BI (or similar visualisation tools). Exposure to Python or R for data manipulation or basic modelling. Understanding of performance frameworks in the sector (e.g. Ofwat, Environment Agency). Knowledge or experience with cloud-based tools (e.g., Azure Data Lake, Databricks More ❯