326 to 350 of 1,215 R Jobs

wearable devices, patient-reported outcomes, HEOR data, phase IV studies. Ensuring compliance with regulatory requirements and data privacy standards. Required Knowledge, Skills And Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Knowledge/experience with digital healthcare tools More ❯

Knowledge of SQL and ability to perform complex queries in non-relational databases. Experience using Data Visualization Tools such as Looker. Skillful with domain-specific programming languages such as R or Python. Robust knowledge in mathematical areas relevant to the position: statistics, hypothesis testing, etc. Experience in product optimisation. Knowledge of games and the gaming industry.(not mandatory) About Miniclip 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 ❯

on a major cloud platform (e.g. AWS, Azure, or Google Cloud). Strong grasp of data modelling, warehousing, and cloud-based deployment of machine learning models. Proficient in Python, R, SQL, or similar languages. Skilled in instructional design and adult learning methodologies. Able to create engaging, outcomes-driven learning experiences for a wide audience. As an industry leading, nationwide Marketing More ❯

on a major cloud platform (e.g. AWS, Azure, or Google Cloud). Strong grasp of data modelling, warehousing, and cloud-based deployment of machine learning models. Proficient in Python, R, SQL, or similar languages. Skilled in instructional design and adult learning methodologies. Able to create engaging, outcomes-driven learning experiences for a wide audience. As an industry leading, nationwide Marketing 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 ❯

the water sector and help them achieve better outcomes. As a Digital Services Graduate, you'll be responsible for analysing and visualising data using tools like GIS, Tableau, Python, R, and Machine Learning. You'll also manage databases and leverage tools like FME and GIS for data translation. Additionally, you'll collaborate closely with clients to understand their needs and 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 ❯

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 ❯

the water sector and help them achieve better outcomes. As a Digital Services Graduate, you'll be responsible for analysing and visualising data using tools like GIS, Tableau, Python, R, and Machine Learning. You'll also manage databases and leverage tools like FME and GIS for data translation. Additionally, you'll collaborate closely with clients to understand their needs and More ❯

Strong Econometrics Background: Expertise in statistical methods like linear regression, generalized linear models, panel data analysis, and time series forecasting. Data Science Proficiency: Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modeling, and visualization libraries. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills: Ability to 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 ❯

degree in Analytics, Statistics, Business, or a related field. Experience in data analytics, financial modeling, or business intelligence, including years managing an analytics team. Hands-on proficiency with SQL, R, Python, Tableau, and Excel Claims or insurance industry experience is a plus but not required. The starting pay range for this position is: $117,600.00 - $156,400.00 Additionally, for full More ❯

digital media metrics (e.g., impressions, clicks, conversions, reach, frequency, CTR, CPM, ROAS) Proficient in SQL, with working knowledge of BigQuery or other cloud-based databases Familiarity with Python or R for data manipulation or statistical analysis Knowledge of advertising technology, campaign tracking, and data integration tools is a plus Basic understanding of data governance and security, especially in relation to More ❯

making within Savings. What do we need from you? Strong analytical and problem-solving skills with a proven ability in statistical modelling and robust forecasting. Skilled in coding with R or Python for data manipulation and in-depth analysis. Proficiency in data manipulation and analysis, with a strong commitment to data accuracy and attention to detail. A keen ability to More ❯

methods and machine learning PREFERRED QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - 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. - Excellent technical publications and material contributions to the CV/ More ❯

other dashboarding tools is essential Experience using data to support hypotheses, experience interacting with databases and data manipulation using code Coding experience in SQL highly desirable, and skills in R and Python would be useful Experience in geospatial analytics, tools such as GIS desirable Ability to extract insights from data, display those insights, and present the information to someone unfamiliar More ❯

Experience working with state of the art ML tools (transformers, GNN, etc.) Experience working with hybrid AI models (e.g., SINDy) Working knowledge of cell biology. Experience with Python, C, R or related scientific computing languages. Preferred Qualifications - Experience working with causal representation learning Experience with RAG (retrieval-augmented generation) and GraphRAG a big plus Experience with building and deploying software 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 ❯

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 ❯

applications Financial background preferable Spark expertise (micro batching, EOD/real time) Python In-memory databases SQL Skills & RDBMS concepts Linux Hadoop Ecosystem (HDFS, Impala, HIVE, HBASE, etc.) Python , R or equivalent scripting language(s) Excellent Excel Analysis skills Good understanding of Investment Banking data A history of delivering against agreed objectives Ability to multi-task and work under pressure More ❯

Engineering page is loaded Engineer - Site Reliability Engineering Apply locations USA-St. Louis-795 Office Pkwy time type Full time posted on Posted 11 Days Ago job requisition id R Our Team We are evolving our Reliability Engineering team to move beyond support and operations. As a Senior Engineer in Site Reliability, you will be part of a diverse and More ❯

methods to interpret data trends, patterns, correlations and communicate insights and recommendations to operational teams. What we need from you? Proven Experience with programming languages such as Python/R and advanced T-SQL programming Experience in large-scale datasets, analysing unstructured data/semi structured data to solve business problems, and presenting impactful insights Experience with RPA/Automation More ❯

of machine learning in genomics and computational biology Ability to communicate complex topics effectively to diverse audiences Experience with at least one programming language used in data science (Python, R, Julia) Nice to Haves Experience in preparing and defending scientific publications as first or corresponding author Expertise in software development best practices (version control, code review, agile, testing, etc.) Experience More ❯

London-10 Paternoster Square time type Full time posted on Posted Yesterday time left to apply End Date: August 30, 2025 (30 days left to apply) job requisition id R Job Description Summary The Digital & Marketing Technology Team is responsible for marketing technology within the LSEG Technology organization. Our current MarTech stack includes Oracle Marketing Cloud (Eloqua), Salesforce CRM, Interact More ❯