176 to 200 of 1,360 Permanent R Jobs

industrial facility automation, robust and resilient communications Familiarity with common machine learning libraries for implementation (sklearn, weka, tensorflow, torch, etc) Proficiency in one or more of: Python, C++, Java, R, Julia, Matlab Ability to understand and implement new models from the literature Experience with geospatial data and analytics. Familiarity with Intelligence Community and DoD mission sets. Salary More ❯

business intelligence platforms Additional Desired Qualifications: MBA or relevant master's degree Professional certifications (CPA, PMP, or similar) Experience with machine learning or predictive analytics Knowledge of Python or R for advanced data analysis Key job responsibilities • Ownership and implementation of new businesses and subsidiaries onto AR platforms • Partner with key counterparts across geographies to launch and support initiatives globally More ❯

data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience writing complex SQL queries - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling PREFERRED QUALIFICATIONS - Experience with AWS solutions More ❯

Engineering, Statistics, or a related quantitative field Hands-on (academic/commercial) e xperience in implementing Reinforcement Learning (or a related displicine ) . Please note: We use the term R einforcement L earning as an umbrella term rather than a specialist term for state-dependent action set framework s Completing a module/thesis on this topic as part of More ❯

and data-driven approaches. Ensure ethical AI practices and compliance with data privacy regulations. Technical Skills required: Programming: Proficiency in Python (preferred) and/or other relevant languages (e.g., R, Java, C++). Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. Data Manipulation & Analysis: Strong skills in Pandas, NumPy, and SQL for handling and analysing More ❯

and data-driven approaches. Ensure ethical AI practices and compliance with data privacy regulations. Technical Skills required: Programming: Proficiency in Python (preferred) and/or other relevant languages (e.g., R, Java, C++). Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. Data Manipulation & Analysis: Strong skills in Pandas, NumPy, and SQL for handling and analysing More ❯

of the following: Technical Mastery: Expertise in cloud data platforms (AWS, Azure, GCP) and enterprise data solutions (e.g., Microsoft Fabric, Databricks, Snowflake). Proficiency in programming languages like Python, R, or SQL and experience with Power Platform applications. Strong knowledge of generative AI tools, geospatial analytics, and data modelling. Expertise in Power Platform and Apps components (e.g. Power Apps, Canvas More ❯

mathematics, operations research, engineering or computer science). Five years of experience analyzing datasets and developing analytics, five years of experience programming with data analysis soft ware such as R, Python, SAS, or MATLAB. Desired: An additional two years of experience in soft ware development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for More ❯

changes in reporting technology and market trends Eligibility Criteria You'll need to be able to demonstrate the following: Experience and Skills Strong technical skills including SQL, Python/R, and data visualisation tools. We are open to exploring and incorporating other relevant tools and technologies as needed Excellent communication skills with the ability to explain complex analyses to non More ❯

Experience of working with large datasets; defining, querying, validating and analysing data sets using SQL language and Power BI. Experience with an advanced programming language, such as Python or R would be desirable but not essential. 3. Proven ability to establish effective relationships with managers and staff across an organisation and placing a high value on user satisfaction. 4. Thorough More ❯

data analysis or similar role, preferably within a fast-paced SaaS or technology environment. (Scaleup experience is a plus) Proficiency in data analysis tools and languages, such as Python, R or similar for advanced data manipulation and analysis. Have an understanding of the data pipeline, with a familiarity of ETL processes to ensure clean, usable data. Familiarity with statistical analysis More ❯

and solution packages using Power Platform and SPFx. Strong experience in data analysis, data modelling, data architecture principles with proficiency in SQL and Data Warehousing principles Experience with Python, R and ETL (Extract, Transform, Load) processes for data cleansing Experience with REST APIs Experience with a .NET UI controls tool such as DevExpress is a plus Experience using version control More ❯

the importance of team culture, and a demonstrable ability to act as a role model to maintain a culture of curiosity, support and honesty. Nice to have: Knowledge of R or other programming languages Knowledge of current UK AI/ML compliance and regulation. Experience with AWS Sagemaker Experience with Snowflake Experience with Databricks As an inclusive employer, we want More ❯

Deep Learning R&D Software Engineer At Expedition Technology (EXP), we work on real-world problems whose solutions will make an immediate impact on national security. If you desire an opportunity where you will apply your deep learning and software engineering expertise to challenging problems with no previously known solutions, EXP is the place to be! Currently, we are seeking … dynamic team that is delivering novel solutions to our Intelligence Community. We're looking for someone who has an in-depth understanding of DL architectures such as YOLOv8, Faster R-CNN, DETR, and other state of the art object detection models. The candidate should feel comfortable developing and testing end-to-end deployable systems; from sourcing and curating datasets, building More ❯

1. Demonstrable experience of working within a large, complex organisation in a data science or complex data analytics function. 2. Significant experience using advanced programming languages (either Python or R) and Power BI to undertake complex organisational analysis (e.g. modelling, forecasting). 3. Experience of extracting business value from data science methods using both quantitative and qualitative methods. 4. Excellent … development skills in a complex programming language (Python is essential, R would be desirable as an addition). 5. App building skills (Python is essential, R or Power Automate would be desirable as additions). Please note that we will score the evidence you provide based on the competencies listed in the selection criteria above. Shortlisted candidates will be invited More ❯

into meaningful change. What Youll Do Design and deliver high-quality analyses on a range of operational and strategic issues. Use tools like Power BI, Excel, SQL, Python, or R to build dashboards, models, and insights that support decision-making. Engage with internal teams to identify their analytical needs and deliver relevant, digestible insights. Create impactful visualisations and reports to … social care environments. Proven ability to conduct statistical modelling, indicator development and create powerful visualisations. Experience handling large, complex datasets (structured and unstructured) using tools like Power BI, SQL, R, Python or Tableau. Comfortable using qualitative analysis techniques, including thematic or discourse analysis. Strong communication and stakeholder engagement skillsable to explain insights clearly, tell the story and influence action. Why More ❯

Architect, Teamwork Cloud, Cameo Cloud Collaborator, Sparx Enterprise Architect, and/or Rational Rhapsody • Data Profiling, Transformation and Modeling experience • Experience working with data analytics tools such as Python, R, MATLAB, Tableau or Power BI • Experience authoring database queries using SQL. • Ability to work effectively in a multi-disciplinary, dynamic team environment. • Ability to take your current skills and experience … to the military/defense domain. Beneficial: • Experience with multi-disciplinary modeling and simulation • Deep Data Profiling and Data Modeling Experience • Programming languages for quantitative analyses (ex. Mathematica, Python, R) • Hands-on experience with one or more of the following: JavaScript, HTML, CSS, C/C++, Go, Ruby, Kotlin, Python • Technical writing (e.g., data definitions) experience Benefits Offered: • 3 weeks More ❯

Successful Applicant A degree in Finance, Data Analytics, or a related field (preferred) Strong data visualisation skills (Power BI, Tableau) Solid SQL and database knowledge Experience with Python or R for financial automation and analysis Advanced Excel skills , including financial modelling and VBA Understanding of ETL processes to clean and merge data Familiarity with SAP or similar financial systems Great More ❯

Essential: - 5+ years' experience in AI/ML development and data science - Strong grasp of ML/AI algorithms, including LLMs and automated AI systems - Proficient in Python or R and key frameworks (TensorFlow, PyTorch, scikit-learn) - Skilled in handling large datasets, data wrangling, and statistical modelling - Comfortable working independently on end-to-end ML pipelines - Experienced in visualisation tools More ❯

Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and stakeholder engagement. If this role looks of interest, please apply here. Please More ❯

Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and stakeholder engagement. If this role looks of interest, please apply here. Please More ❯

learning. 3+ years of experience working as a Data Scientist or a similar role, preferably in a fast-paced and collaborative environment. Proficiency in programming languages such as Python, R, or Java, as well as experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn). Effective communication and collaboration skills, with the ability to work independently as More ❯

learning. 3+ years of experience working as a Data Scientist or a similar role, preferably in a fast-paced and collaborative environment. Proficiency in programming languages such as Python, R, or Java, as well as experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn). Effective communication and collaboration skills, with the ability to work independently as More ❯

time. You'll create algorithms and models to understand how changes in metrics in one area of the business impact other areas. What you'll have: Experience in using R, Python, or a similar statistical analysis package. Strong SQL skills and the ability to create clear data visualisations in tools such as Tableau or Power BI. Experience in developing and More ❯

and collaborative. An interest in using AI tools to enhance reporting or automation is a plus. Desirable Experience in eCommerce, retail, or high-growth business environments. Familiarity with Python, R, or other programming languages. Exposure to data governance or reporting standardisation initiatives. Package Salary up to £55,000 depending on experience Bonus available 25 days holiday (with the option to More ❯