376 to 400 of 1,044 Remote R Jobs

priorities Solution-focused, curious, and collaborative Nice to have Experience in HR, legal or professional services Familiarity with tools like Workday, PowerApps Experience using advanced data analytics tools like R The offer £60,000–£70,000 salary Private medical, 25 days holiday (+ increase with tenure), 5% matched pension Manchester or Leeds base, hybrid working (2-3 days per week More ❯

priorities Solution-focused, curious, and collaborative Nice to have Experience in HR, legal or professional services Familiarity with tools like Workday, PowerApps Experience using advanced data analytics tools like R The offer £60,000–£70,000 salary Private medical, 25 days holiday (+ increase with tenure), 5% matched pension Manchester or Leeds base, hybrid working (2-3 days per week More ❯

Recently completed Bachelor's or Master's degree in Mathematics, Computer Science, Data Science or other relevant field Experience synthesizing insights from data using tools such as Python/R and SQL Intellectually curious, creative, and diligent - you enjoy thinking about the business as much as about the data Comfortable using AI-powered tools to accelerate analysis and improve productivity More ❯

Strong background in quantitative analysis, 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 collaborative, fast-paced environment. Strong More ❯

and quantitative skills, along with a healthy streak of creativity. Demonstrated ability to conduct independent research utilizing large data sets. Curiosity about financial markets. Strong scientific programming in Python, R or Matlab. Further context: The company is one of the most reputable in the industry, and is recognized for leading innovation and technological development in automated trading by hiring only More ❯

and quantitative skills, along with a healthy streak of creativity. Demonstrated ability to conduct independent research utilizing large data sets. Curiosity about financial markets. Strong scientific programming in Python, R or Matlab. Further context: The company is one of the most reputable in the industry, and is recognized for leading innovation and technological development in automated trading by hiring only More ❯

and quantitative skills, along with a healthy streak of creativity. Demonstrated ability to conduct independent research utilizing large data sets. Curiosity about financial markets. Strong scientific programming in Python, R or Matlab. Further context: The company is one of the most reputable in the industry, and is recognized for leading innovation and technological development in automated trading by hiring only More ❯

and quantitative skills, along with a healthy streak of creativity. Demonstrated ability to conduct independent research utilizing large data sets. Curiosity about financial markets. Strong scientific programming in Python, R or Matlab. Further context: The company is one of the most reputable in the industry, and is recognized for leading innovation and technological development in automated trading by hiring only More ❯

Report Developers. Requirements 3-5 years experience in data warehousing, data modeling, and visualization. Experience managing analytics design and implementation. Proficiency in programming languages such as Python, SQL, Scala, R, Java. Strong interpersonal and customer relationship skills. Ability to meet deadlines and manage workload effectively. Knowledge of Power BI is highly desirable. Organized, proactive, and a team player. Experience working More ❯

in a highly regulated industry and with highly sensitive data. Exposure to large data solutions like Snowflake, Trino, Synapse, Azure Data Lake, and Databricks. Experience in data science using R, Stata, or Python. Familiarity with Atlassian tools such as JIRA, Confluence, and BitBucket. Understanding of clinical trials, GCP, and GxP. What We Offer Hybrid working model with flexibility between remote More ❯

in a highly regulated industry and with highly sensitive data. Exposure to large data solutions like Snowflake, Trino, Synapse, Azure Data Lake, and Databricks. Experience in data science using R, Stata, or Python. Familiarity with Atlassian tools such as JIRA, Confluence, and BitBucket. Understanding of clinical trials, GCP, and GxP. What We Offer: Hybrid working model with flexibility between remote More ❯

in a highly regulated industry and with highly sensitive data. Exposure to large data solutions like Snowflake, Trino, Synapse, Azure Data Lake, and Databricks. Experience in data science using R, Stata, or Python. Familiarity with Atlassian tools such as JIRA, Confluence, and BitBucket. Understanding of clinical trials, GCP, and GxP. What We Offer: Hybrid working model with flexibility between remote More ❯

in a highly regulated industry and with highly sensitive data. Exposure to large data solutions like Snowflake, Trino, Synapse, Azure Data Lake, and Databricks. Experience in data science using R, Stata, or Python. Familiarity with Atlassian tools such as JIRA, Confluence, and BitBucket. Understanding of clinical trials, GCP, and GxP. What We Offer: Hybrid working model with flexibility between remote More ❯

track record with national/international collaborations and publications Experience managing complex spatial workflows and projects Advanced knowledge of geospatial data analysis and visualization; proficiency with Google Earth Engine, R, Python, GIS platforms Successful research funding acquisition record Ability to operate in a dynamic research environment Knowledge of spatial data manipulation and visualization Excellent presentation skills for technical and non More ❯

and Clustering. Knowledge of the technical differences between different packages for some of these model types would be an advantage. Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar software is preferred Proficient at communicating results in a More ❯

management Proficiency in Power BI, SQL, and Azure-based platforms (Synapse, Data Factory, Databricks) Familiarity with data regulations (GDPR, FCA) and SMCR environments Bonus points for experience with Python, R, or PySpark Why You Should Apply: Executive-level visibility and the chance to lead a high-impact transformation Full budget ownership with the freedom to shape systems and teams Work More ❯

the Unscheduled Care programme of work. This role will specialise in electronic data handling to include process automation, data mining, electronic data manipulation and dashboard development. A knowledge of R, Power BI, Python, Data Viz or similar to support the handling and automation of large and complex datasets and to design and build user-facing information delivery platforms such as More ❯

needed. This description may be updated to reflect changing business needs. Qualifications, skills and experience Strong geospatial analysis expertise (e.g., QGIS, ARCGIS) Proficiency in programming languages like Python or R for data manipulation Experience designing systems and dashboards for catastrophe exposure monitoring Experience in a Catastrophe Modelling/Exposure Management team Effective communication skills (written and face-to-face) Knowledge More ❯

Recently completed Bachelor's or Master's degree in Mathematics, Computer Science, Data Science or other relevant field Experience synthesizing insights from data using tools such as Python/R and SQL Intellectually curious, creative, and diligent - you enjoy thinking about the business as much as about the data Comfortable using AI-powered tools to accelerate analysis and improve productivity More ❯

a global organization Strong SQL skills It would also be nice for you to have. Knowledge and hands-on experience with AI and ML Experience using Python, SAS, and R Deep FC knowledge, including Anti-Money Laundering, Sanctions, and Anti-Bribery & Corruption Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders What else you need More ❯

including researchers, clinicians, and data scientists. What We're Looking Relevant post-graduate qualification (MSc/PhD in Statistics, Epidemiology, or related discipline) 3+ years of programming experience with R and/or Python Working knowledge of SQL Experience in epidemiological and medical statistics methods employed in observational research (e.g. survival analyses, propensity score methods, among other). Experience in More ❯

pipelines and infrastructure. Thorough knowledge of ETL processes, with the ability to optimize data extraction, transformation, and loading. Extensive commercial expertise with AWS, including services like Glue, Data Catalog, R and large-scale data storage solutions such as data lakes. Excellent analytical and problem-solving skills, with the ability to enhance and streamline complex data processes. Strong communication skills, with More ❯

to convey data insights clearly and influence stakeholders. Ability to build trust and respectful relationships with internal and external stakeholders. Experience in the following is highly desirable: Use of R or Python (or similar) for data analysis. Working in agile environments with digital systems. Development opportunities and training will be provided. Contact and additional information We support flexible working patterns More ❯

deep tech affinity. 0 - 1 year of professional experience and a demonstrated passion for technology & innovation. Proficient in Python plus at least two other languages/tools (e.g., JavaScript, R, SQL). Hands-on familiarity with machine learning, LLMs/GPT, NLP and rapid-prototyping methods. Conceptual & strategic thinker who pairs analysis with a creative touch. Excellent communication and collaboration More ❯

Desired Experience Exposure to working with digital analytics tools (e.g. Google Analytics or Adobe Analytics) Knowledge of coding language or modelling tools relevant to data manipulation (e.g. BigQuery, SQL, R, Python, MatLab, Stata) Knowledge of dashboarding solutions (e.g. Power BI, Looker, Tableau) If this sounds like you, please get in touch! We look forward to meeting you. Benefits Being part More ❯