126 to 150 of 729 Permanent R Jobs

of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 6 years of experience in one or more dynamic scripted language (such as Python, R, etc.) with a focus on writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Subject matter expert in the More ❯

of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 6 years of experience in one or more dynamic scripted language (such as Python, R, etc.) with a focus on writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Subject matter expert in the More ❯

of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 6 years of experience in one or more dynamic scripted language (such as Python, R, etc.) with a focus on writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Subject matter expert in the More ❯

with the resources available Able to critically appraise and interpret highly complex data and advise on actions based on the comparison of a range of options. Expert in using R, SPSS or equivalent software, with an ability to write high quality, maintainable and portable code and test code to ensure its quality. Expert in use of SQL and database design More ❯

practices across the team. What we're looking for: Experience in data analysis, performance measurement, or related roles in digital services. Strong skills with tools like Excel, SQL, Python, R, Power BI, Tableau, or Google Analytics. Ability to turn complex data into actionable insights for technical and non-technical audiences. Understanding of user-centred design, Agile delivery, and iterative service More ❯

squad. Key Requirements Strong mobile network domain knowledge (2G–5G, NB-IoT, LTE-M, backhaul, mobile core). Proven experience in line management and technical leadership. Proficiency in Python, R, SQL, and data visualisation tools (Tableau, Power BI). Hands-on experience with GCP and DBT for data transformation. Familiarity with agile development practices (Scrum preferred). Excellent communication and More ❯

squad. Key Requirements Strong mobile network domain knowledge (2G–5G, NB-IoT, LTE-M, backhaul, mobile core). Proven experience in line management and technical leadership. Proficiency in Python, R, SQL, and data visualisation tools (Tableau, Power BI). Hands-on experience with GCP and DBT for data transformation. Familiarity with agile development practices (Scrum preferred). Excellent communication and More ❯

at the right time. Key Skills & Experiences Substantial experience in data analysis or a related field. Data Analysis & Visualisation Tools - Proficiency with data analysis and visualisation tools e.g. Python, R, SQL, Power BI, Tableau People Analytics - Extensive knowledge of people reporting requirements. HRIS and Org Modelling systems - Good understanding of people systems, technologies and people data sets Substantial experience of More ❯

practices Familiarity with aquaculture regulations and permitting processes Advanced Technical Skills Cartographic expertise: Experience with advanced cartographic design principles, symbology, and map production workflows Programming abilities: Proficiency in Python, R, SQL, or similar languages for data analysis and automation Experience with web GIS development (JavaScript, HTML5, CSS) Knowledge of remote sensing and image analysis techniques 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 ❯

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 ❯

end data science solutions in a commercial setting. Proven ability to lead projects independently and drive results. Strong expertise in machine learning, predictive modelling, and AI. Proficient in Python, R, SQL; experience with Power BI or similar tools. Exposure to Gen AI tools or techniques is a strong plus. Excellent stakeholder engagement and communication skills. Degree (2:1 or above More ❯

ML technologies. Tech Stack & Tools Essential Skills: 8+ years' experience in Java development (commercial) Strong expertise in Spring/Spring Boot Solid experience with Hibernate Desirable Skills: Python or R - exposure to data or ML integration SQL - for data management and optimisation JavaScript - for front-end collaboration Grails - nice to have, not essential Environment & Tools: Cloud: AWS/Azure DevOps More ❯

Oracle or Microsoft SQL Server databases. Knowledge of Alteryx, Cognos, and Tableau. Knowledge of Architecture and Modeling Tools. Knowledge of Data Integration and Strategies. Knowledge of SQL. Knowledge of R and Python. Knowledge of Data Warehouse Concepts, Models, Cohorts, Metrics and KPIs. Knowledge of Informatica Intelligent Cloud Services and PowerCenter, and BMC Control-M. Knowledge Azure Databricks. Knowledge of EPIC More ❯

statistical skills Person Specification Technical skills Essential Minimum 2 years in a data analytics role Advanced Excel skills SQL skills Desirable Experience using Power BI Experience using Python/R Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure More ❯

key messages from large datasets. Be an excellent communicator, able to explaindata concepts to non-technical audiences. Have highly developed IT skills that includes using tools such as SQL, R or Python, PowerBI and PowerQuery. Have good project management skills with experience of working collaboratively with colleagues across large organisations. There are developmental opportunities within the team where you will More ❯

based on our ethos of CARE: C ompassionate care that is trauma informed and supportive A ssurance that care is evidence-based & demonstrates high quality outcomes for our patients R espectful of peoples cultural and religious beliefs E mpowermentWe centre each resident by co-creating holistic care plans that treat their needs and equip them to self-manage their wellbeing. More ❯

Awareness of medallion architecture (Gold, Silver, Bronze). Previous experience creating Data requirements for Data Engineers/Data Scientists. Proficiency in Data Analysis tools such as SQL, Python and R and the ability to write simple SQL scripts. Strong understanding of LLM. The ability to understand the difference between functional and non-functional requirements. The ability to work with technical More ❯

Integration Services and ADF Experienced in effectively working in a collaborative manner in a large, fast paced environment within a multifunctional technical team Nice to have Languages: PySQL, C#, R Reporting: PowerBI or similar Modelling: SQL Server SSAS Tabular (DAX)/Dimensional Modelling/Data Warehousing Development Management: Azure DevOps SQL MI/DB ETL: Active Batch, API, Event Hub 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 ❯

data extraction, transformation, and pipeline development. Proficiency in Tableau, Qlik, or similar visualization tools. Experience with big data tools (Snowflake, Databricks, Spark) and ETL processes. Exposure to Python or R for automation, experimentation, or analytics. Excellent communication and storytelling skills with both technical and non-technical audiences. Proactive, growth-oriented mindset and comfort working across multiple projects in a fast More ❯

data extraction, transformation, and pipeline development. Proficiency in Tableau, Qlik, or similar visualization tools. Experience with big data tools (Snowflake, Databricks, Spark) and ETL processes. Exposure to Python or R for automation, experimentation, or analytics. Excellent communication and storytelling skills with both technical and non-technical audiences. Proactive, growth-oriented mindset and comfort working across multiple projects in a fast 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 ❯

Strong understanding of statistical modeling, machine learning algorithms, and AI techniques. Experience in designing and executing experiments, and validating research findings. Proficiency in programming languages such as Python or R, and experience with relevant data science libraries and frameworks. Experience working with large datasets and cloud-based data platforms. Excellent problem-solving and analytical skills. Strong communication and collaboration skills. More ❯