226 to 250 of 960 R Jobs

providing variety and challenge in your day-to-day work. Leverage your expertise to influence decision-making and enhance product functionality Key Skills Proficiency in Python and/or R for developing machine learning models. Experience with frameworks such as TensorFlow, PyTorch, or Scikit-learn. Strong understanding of data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms More ❯

background in data science, including NLP and ML techniques. Proven ability to extract insights from documents using tools like Apache Tika or PDFMiner. Proficiency in Python and/or R, with hands-on experience using TensorFlow, PyTorch, or similar frameworks. Ability to produce visualizations and qualitative analysis that clearly communicate technical insights. Comfort working with both structured and unstructured datasets More ❯

the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering 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 ❯

the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering 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 ❯

understanding of the social housing sector. You will have extensive experience of SQL along with experience working with large databases and data warehouses. You'll be proficient in Python, R, or other relevant programming languages and have Experience with machine learning libraries and frameworks (e.g., TensorFlow, Scikit-learn, PyTorch). With a background in data mining and pattern recognition you More ❯

loaded Senior Developer (Power BI) Apply locations: Edinburgh Full time Posted on: Posted 2 Days Ago End Date: September 1, 2025 (11 days left to apply) Job requisition id: R Job Description At Aberdeen, our ambition is to be the UK's leading Wealth & Investments group. Strengthening talent and culture is one of our strategic priorities. We strive to make More ❯

or related language - PhD, or Master's degree and 6+ years of applied research experience - 5+ years of applied research experience PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate More ❯

/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 ❯

or machine learning pipelines, incl. deep learning, GenAI, LLM, etc. as well as hands on experience on AWS services like SageMaker and Bedrock, and programming skills such as Python, R, SQL, Java, Julia, Scala, Spark/Numpy/Pandas/scikit, JavaScript Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability More ❯

experience: At least five years of experience in frameworks such as PyTorch and Tensorflow Two years of experience in object detection models, including but not limited to YOLO, Faster R-CNN, and VIT Experience in training, fine-tuning, quantisation, and deploying computer vision models in production Apply data augmentation, transfer learning, and hyperparameter tuning to optimise model performance on complex More ❯

Location: Reston, VA Clearance Requirement: Secret Job Description and Responsibilities: Data Machines seeks an energetic Simulation Engineer with the desire to work with our team supporting the development and production of cutting-edge defense and intelligence simulation capabilities. The ideal More ❯

through experimentation and analytics What We’re Looking For: 4+ years of experience in a Data Scientist or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part of More ❯

through experimentation and analytics What We’re Looking For: 4+ years of experience in a Data Scientist or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part of More ❯

through experimentation and analytics What We’re Looking For: 4+ years of experience in a Data Scientist or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part of More ❯

through experimentation and analytics What We’re Looking For: 4+ years of experience in a Data Scientist or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part of More ❯

through experimentation and analytics What We’re Looking For: 4+ years of experience in a Data Scientist or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part of More ❯

team members and lead innovative analytical initiatives. You will bring experience working in data science/statistics from a market research or media agency, and be an expert in R and/or Python . Expertise with analysis of survey data and undertaking segmentation and conjoint analysis expertise is essential. Experience of survey analytics such as MaxDiff, TURF; knowledge of 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 ❯

Experience collaborating with MLOps teams on deployment, monitoring, and retraining pipelines. Familiarity with document indexing, search platforms, GPU workloads, and distributed storage (e.g., Cloudera). Experience developing algorithms with R, Python, SQL, or NoSQL. Knowledge of distributed data and computing tools such as Hadoop, Hive, Spark, MapReduce, or EMR. Hands-on experience with visualization tools like Plotly, Seaborn, or ggplot2. 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 ❯

Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills Data Science: Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time More ❯