151 to 175 of 729 Permanent R Jobs

in partnership with engineering and tagging teams. Leading and developing a team of digital analysts, providing coaching, direction, and technical guidance. TECHNICAL ENVIRONMENT Tools: SQL, GA4, BigQuery Languages: Python, R Focus Areas: Digital analytics, predictive modelling, product behaviour, insight generation No tagging responsibilities — handled by a specialist team Leadership-first role, but with enough technical depth to guide high-quality More ❯

in partnership with engineering and tagging teams. Leading and developing a team of digital analysts, providing coaching, direction, and technical guidance. TECHNICAL ENVIRONMENT Tools: SQL, GA4, BigQuery Languages: Python, R Focus Areas: Digital analytics, predictive modelling, product behaviour, insight generation No tagging responsibilities — handled by a specialist team Leadership-first role, but with enough technical depth to guide high-quality More ❯

all levels Be analytical, detail-oriented, and creative in problem solving Be self-motivated, adaptable, and delivery-focused Have strong organisational skills Be proficient in Python, PySpark, SQL, and R Hold a STEM degree, ideally in Aerospace Beneficial skills: Experience with Palantir Foundry or Skywise Knowledge of JavaScript and HTML/CSS Understanding of Airline Engineering Operations Join our exciting More ❯

in partnership with engineering and tagging teams. Leading and developing a team of digital analysts, providing coaching, direction, and technical guidance. TECHNICAL ENVIRONMENT Tools: SQL, GA4, BigQuery Languages: Python, R Focus Areas: Digital analytics, predictive modelling, product behaviour, insight generation No tagging responsibilities - handled by a specialist team Leadership-first role, but with enough technical depth to guide high-quality More ❯

implementing row-level security in BusinessObjects. It would also be desirable to have experience developing custom BI products that require knowledge of scripting languages and programming languages like SQL, R, and Python. The BusinessObjects XI Developer/Analyst should be familiar with business intelligence and data analytics. They should have prior knowledge of data integration, data warehousing, modeling, business intelligence More ❯

implementing row-level security in BusinessObjects. It would also be desirable to have experience developing custom BI products that require knowledge of scripting languages and programming languages like SQL, R, and Python. The BusinessObjects XI Developer/Analyst should be familiar with business intelligence and data analytics. They should have prior knowledge of data integration, data warehousing, modeling, business intelligence 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 ❯

expertise in data engineering, equivalent to postgraduate degree level Desirable Member of a professional body Education/Experience Essential Advanced knowledge of a programming language such as SQL, Python, R or similar Significant specialist knowledge/experience of data warehousing Desirable o Knowledge of clinical terminology Knowledge of the NHS data model and standards o Significant experience of analysing NHS 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 ❯

Factory. Advanced T-SQL programming and in-depth knowledge of SQL and NoSQL databases. Experience with structured project management methodologies (e.g., AGILE, Kanban, PRINCE2). Python and/or R programming. Knowledge of Microsoft ERP products, especially D365. Microsoft Certified: Azure Data Fundamentals. Qualifications Microsoft Certified: Azure Data Fundamentals. (Desirable) NO RECRUITMENT AGENCIES PLEASE. At present, we are not accepting More ❯

research. Experience driving communication verbally and in writing quantitative/technical concepts and conclusions to non-technical audiences, senior leadership, auditors, and/or regulators. Strong programming skills in R, Python, SAS, Java, C, SQL, and/or other comparable programming languages for the iterative methodological tenants of model and algorithm development including setting model specifications, assumption testing, data quality More ❯

research. Experience driving communication verbally and in writing quantitative/technical concepts and conclusions to non-technical audiences, senior leadership, auditors, and/or regulators. Strong programming skills in R, Python, SAS, Java, C, SQL, and/or other comparable programming languages for the iterative methodological tenants of model and algorithm development including setting model specifications, assumption testing, data quality More ❯

science governance. • Familiarity with MLOps concepts and tooling (e.g., MLflow, Kubeflow, Vertex AI, SageMaker, Azure ML). • Hands-on experience with data science tools and languages such as Python, R, SQL, and relevant frameworks (e.g., scikit-learn, TensorFlow, PyTorch). • Proven ability to assess or design organizational processes for data science delivery and model management. • Excellent analytical and communication skills More ❯

science governance. • Familiarity with MLOps concepts and tooling (e.g., MLflow, Kubeflow, Vertex AI, SageMaker, Azure ML). • Hands-on experience with data science tools and languages such as Python, R, SQL, and relevant frameworks (e.g., scikit-learn, TensorFlow, PyTorch). • Proven ability to assess or design organizational processes for data science delivery and model management. • Excellent analytical and communication skills More ❯

Proficiency in SQL , familiarity with NoSQL Comfortable using Git and Jupyter notebooks A practical, problem-solving mindset with a focus on clean, reliable delivery Nice to have: Experience with R or other statistical tools Exposure to model deployment/MLOps environments Familiarity with high-volume digital products or gaming/sports analytics More ❯

Proficiency in SQL , familiarity with NoSQL Comfortable using Git and Jupyter notebooks A practical, problem-solving mindset with a focus on clean, reliable delivery Nice to have: Experience with R or other statistical tools Exposure to model deployment/MLOps environments Familiarity with high-volume digital products or gaming/sports analytics More ❯

order to complete the above-mentioned tasks: Experience with machine learning techniques and algorithms, including k-NN, Naive Bayes, SVM, and Decision Forests; Experience with data science toolkits, including R, Weka, NumPy, and MatLab; Experience with data visualization tools, including D3.js and GGplot; Experience using query languages, including SQL, Hive, and Pig; Experience with NoSQL databases, including MongoDB, Cassandra, and More ❯

documentation and knowledge sharing to promote transparency and collaboration. Your Skills: Significant experience working with data in a commercial or digitally native environment. Proficiency in SQL, dbt, Python, or R, with experience using BI tools such as Looker, Tableau, or Lightdash. Strong ability to translate complex business problems into analytical tasks and communicate insights effectively. Confident data storyteller with excellent More ❯

documentation and knowledge sharing to promote transparency and collaboration. Your Skills: Significant experience working with data in a commercial or digitally native environment. Proficiency in SQL, dbt, Python, or R, with experience using BI tools such as Looker, Tableau, or Lightdash. Strong ability to translate complex business problems into analytical tasks and communicate insights effectively. Confident data storyteller with excellent More ❯

metabolic therapeutic areas (e.g., CardioRenal, Chronic Kidney Disease, Heart Failure) Prior experience working within a large pharmaceutical organization strongly preferred Proficiency in statistical and data analysis tools such as R, Python, SAS, SQL, Excel, and PowerPoint Expertise in multivariate analysis, promotional responsiveness modeling, and ROI measurement Experience in digital analytics for non-personal marketing channels (email, banner, mobile, alerts) Ability More ❯

Years Type: Full Time Work/educational experience in Artificial Intelligence/Machine Learning Experience with one or more general purpose programming languages including but not limited to: Python, R, Scala, Spark Knowledge of AI frameworks such as TensorFlow or PyTorch Experience with AWS resources like Lex Gen AI V2, AWS Connect, AppSync, API Gateway an added advantage Experience with More ❯

self-service analytics Develop a culture of data-driven decision-making and proactively suggest improvements to tools, processes, and architecture Requirements Exceptional SQL skills and comfortable with Python/R, with considerable experience building and deploying machine-learning models An experienced problem solver with a head for building solutions that have real business impact Experience working at a fast-paced More ❯

self-service analytics Develop a culture of data-driven decision-making and proactively suggest improvements to tools, processes, and architecture Requirements Exceptional SQL skills and comfortable with Python/R, with considerable experience building and deploying machine-learning models An experienced problem solver with a head for building solutions that have real business impact Experience working at a fast-paced More ❯

Service Contracts (VSC), GAP, PPM or similar auto protection products preferred. Tools: Excel (advanced: Power Query/Power Pivot) and SQL required; Power BI/Tableau preferred; Python/R a plus. We value scope and outcomes over years. If youâ ve owned pricing and reserve indications for a comparable book, we want to hear from you. Are you ready More ❯

Data Architect/Security page is loaded Data Architect/Securitylocations: GB.United Kingdom: CHE.Baden 5400.Nordhaus 3time type: Full timeposted on: Posted 2 Days Agojob requisition id: R-141464 Job Description Job Title: Data Architect/Security Location: UK or Switzerland Join Us Lead enterprise-wide data architecture strategy and governance: • Define and manage data architecture across SAP S/4HANA More ❯