51 to 75 of 175 Remote R Jobs

/web analytics, AB testing and optimising digital products. Track record of driving business decisions and impact. Strong technical skill set with analytical tools such as SQL, Python/R for analytics, PowerBI and/or Tableau for visualisation, Amplitude, Fullstory or Google Analytics as product optimisation tools. Comfortable at managing multiple projects and stakeholders with competing deadlines and priorities More ❯

data & analytics throughout the organisation, taking opportunities to elevate data literacy and generate excitement around the business problems we can help solve together. Knowledge & experience needed: Excellent ability in R or Python, to write clear, logical, documented code as data solutions Experience working with Azure (Cloud), Databricks Experience working with real-world data, including spatial data Understanding of data product More ❯

About You 2+ years’ pricing, revenue management, or analytical experience — ideally in a distribution or multi-channel environment. Strong analytical skills with tools such as Excel, SQL, Python/R, or Power BI. Commercially aware: able to link data and modelling to tangible business outcomes. Comfortable collaborating across Procurement, Commercial, Finance, and IT teams. Detail-oriented and structured, but also More ❯

Power BI Expertise Strong experience with Power BI, including Power Query , DAX , data modelling, and dashboard design. Technical Skills Proficiency in SQL and VBA , with exposure to Python or R desirable. Marketing Knowledge Solid understanding of digital marketing concepts, tools, and performance drivers. Communication Confident communicator with the ability to explain technical insights in plain language, challenge assumptions constructively, and More ❯

skills they're looking for: Strong Power BI skills with the ability to train others to use it who may be less familiar Programming with Python and/or R Excel (ideally VBA) Background involving as many of the following as possible: SQL Azure (Key Vault/Data Factory/Data Lakes) Power Apps CRMs (ideally D365) Ideally existing/ More ❯

and champion innovative approaches to product data science. The Candidate Proven experience in analytical roles, ideally within a digital-first or tech-led business. Skilled in SQL, Python or R, plus familiarity with BI tools (e.g. Looker, Tableau, Lightdash). Ability to translate business challenges into clear analytical projects and recommendations. Strong data storytelling and presentation skills, with confidence engaging More ❯

team.Experience working 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 and office-based More ❯

deploying services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Experience in source-control software, e.g., GitHub Proficient at communicating results in a concise manner both verbally and written Experience in data and model monitoring is a plus More ❯

deploying services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Experience in source-control software, e.g., GitHub Proficient at communicating results in a concise manner both verbally and written Experience in data and model monitoring is a plus More ❯

of clustering, predictive modelling, and NLP techniques, with familiarity with at least one major machine learning library (eg. Scikit-learn, statsmodels, spaCy, mlr). Proficiency in Python; knowledge of R or SQL is a plus. Familiarity with coding best practices, such as version control, functional code, and documentation Excellent communication, presentation, and report-writing skills. Ability to work collaboratively in 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 ❯

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 ❯

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 ❯

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 ❯

What we're looking for: At least 3 to 5 years of experience in data science, with a strong focus on survey data Professional-level proficiency in Python or R Strong understanding of statistical and machine learning methods such as clustering and regression Hands-on experience with segmentation and preferably conjoint analysis Ability to communicate complex methods and results in 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 ❯

years’ experience in a Data Science role, ideally in a commercial or technology-driven business. Strong statistical knowledge and ability to design and test hypotheses. Proficiency in Python or R, SQL, and modern data science libraries. Experience with machine learning techniques and real-world application. Ability to tell the story behind the numbers — distilling complex findings into practical business recommendations. More ❯

years’ experience in a Data Science role, ideally in a commercial or technology-driven business. Strong statistical knowledge and ability to design and test hypotheses. Proficiency in Python or R, SQL, and modern data science libraries. Experience with machine learning techniques and real-world application. Ability to tell the story behind the numbers — distilling complex findings into practical business recommendations. More ❯

years’ experience in a Data Science role, ideally in a commercial or technology-driven business. Strong statistical knowledge and ability to design and test hypotheses. Proficiency in Python or R, SQL, and modern data science libraries. Experience with machine learning techniques and real-world application. Ability to tell the story behind the numbers — distilling complex findings into practical business recommendations. More ❯

You'll Bring Extensive experience working with data in an analytical fashion, preferably in a digitally native tech environment Experience using analytical tools/languages, e.g., SQL, dbt, Python, R, as well as BI suites such as Lightdash, Looker, or Tableau Ability to translate business problems into analytical tasks, drawing conclusions and communicating insights to a variety of stakeholders across More ❯