1 to 25 of 114 R Jobs in the South East

in the relevant subject (e.g. finance, maths, physics, etc.) Other beneficial qualifications (e.g. MBA, CFA, etc.) Proficient in Structured Query Language (SQL), Critical Thinking, R or Python-Statistical Programming, Data Visualisation, Presentation Skills, Machine Learning & Data Science techniques, Econometrics Strong Data Mapping skills, knowledge of Data Warehousing Concepts, and Logical More ❯

Data Visualization Knowledge*: Strong understanding of data visualization, including reports, dashboards, and interactive visualizations. 5. *Programming Skills*: Proficiency in programming languages, such as Python, R, or SQL. 6. *Communication*: Excellent communication skills, with the ability to communicate technical concepts to non-technical stakeholders. Nice to Have: 1. *Certifications*: Certifications in More ❯

engineering, and ML ops. Experience with CPG/Pet Health/Professional Indirect Industries preferred. Proficiency with SQL, dbt beneficial. Proficiency with Python or R beneficial. Able to manage multiple concurrent projects independently, meet deadlines in a fast-paced environment and with a high standard of quality. Exceptional attention to More ❯

expertise in machine learning, statistical analysis, and predictive modeling. Experience designing experiments and modeling solutions for business problems. Preferred Qualifications Proficiency in Python or R (R knowledge is a plus). Strong SQL skills and experience with relational databases. Familiarity with data visualization tools. Experience with AWS or cloud platforms More ❯

best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R, YAML and JavaScript Data Integration: Integrate data from various sources, including relational databases, APIs, and streaming data sources. Implement data integration patterns and best practices. More ❯

with a proven track record of technical leadership, strategic influence, and business impact. Essential Technical Skills & Qualifications Advanced Analytics & ML Deployment - Expertise in Python, R, or similar, with strong proficiency in cloud-based AI/ML services (Azure ML, Databricks, etc.). Big Data & Cloud Platforms - Strong understanding of data More ❯

in Data Science, Statistics, Mathematics, or a related field. 2+ years of experience in a data science or analytics role. Proficiency in Python or R, SQL, and data visualisation tools. Experience with machine learning models and statistical analysis. Preferred Skills: Familiarity with AWS and experiment design. Strong problem-solving and More ❯

against a large relational customer database, identifying relevant data sources and summarising to provide the insight as identified. Proficiency in Python and/or R a bonus. Proficiency with data visualisation software (e.g. Power BI) a bonus. Good experience of using Excel and MS Office. Ability to resolve data-related More ❯

building machine learning models and analyzing data Background in designing experiments or solving real-world problems with data Strong coding skills in Python or R (R is a plus) Experience writing SQL and working with databases Comfortable with data visualization tools Strong communication and problem-solving skills Ability to juggle More ❯

successful completion, learners will be awarded the Data Analyst including Power BI Level 4 apprenticeship. Tools and technologies learned: Learners will learn to use R programming language, Python, Microsoft SQL Azure and Excel. Learning Provider QA LIMITED Skills Required Communication skills, Attention to detail, Organisation skills, Team working, Non-judgemental More ❯

relevant field (Business Analytics, Data Science, Statistics, Data Analyst) from within insurance, claims or financial services Intermediate level in SQL, familiarity with Python or R and proven experience using data visualisation tools such as PowerBI or Tableau Demonstrable experience in owning and delivering analytical projects, dashboards, structuring analysis and deliverables More ❯

for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc. Experienced working with More ❯

stakeholders An effective communicator, with the ability to influence, negotiate and present at senior management level Familiarity with statistical and predictive modelling tools (e.g., R, Python) Experience in an education, EdTech, or training-focused organisation would be advantageous Project management certification (e.g., PMP, Agile) is an advantage Experience in designing More ❯

Requirements: At least 5 years’ experience in a product analytics role, with proven experience driving product recommendations and outcomes Experience with SQL, Python or R for querying and/or analysing large data sets Experience with analytics tools (Google Analytics, Content square, Firebase or Appsflyer) Strong experience with data visualization More ❯

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 More ❯

supporting ECB onboarding and regulatory change initiatives. Knowledge of data visualisation tools such as Power BI , Tableau , or Qlik . Exposure to SQL, Python, R, or other data analysis/engineering tools. Awareness of data-related compliance trends and emerging regulatory frameworks. More ❯

engineering. Experience in designing and developing AI systems, including machine learning, deep learning, and neural networks. Strong programming skills in languages such as Python, R, or Java Familiarity with AI libraries, frameworks, and tools such as TensorFlow, PyTorch, or Keras. Proven understanding of cloud computing platforms (e.g., AWS, Azure, Google More ❯

routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching, Good knowledge of Databricks, Snowflake, Azure/AWS/Oracle cloud, R, Python. Company Description Version 1 has celebrated over 28 years in Technology Services and continues to be trusted by global brands to deliver solutions that More ❯

matter. The following attributes and areas of experience will make you particularly suited to this role with Actica: Coding e.g. expertise in Python or R; Collaborative, team-based development; Cloud analytics platforms e.g. relevant AWS and Azure platform services; Data tools hands on experience with Palantir ESSENTIAL; Data science approaches More ❯

by the role. What you can bring: Experience in working in the insurance industry, particularly in claims Strong SQL skills and knowledge of VBA, R, Python a plus Expert knowledge of Excel, Word, and Access Team Player with good communication and presentation skills Strong planning and organization skills Ability to More ❯

others to expand responsible investment (RI) data and reporting capabilities. We’re looking for someone who brings: Technical fluency in tools such as Python, R, PL/SQL, DAX, Power BI, Power Query, and Power Automate. Strong analytical skills, with experience in statistical analysis, data visualisation, and data mining. A More ❯

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 More ❯

of Data Warehouse/Data Lake architectures and technologies. Strong working knowledge of a language for data analysis and scripting, such as Python, Pyspark, R, Java, or Scala. Experience with any of the following would be desirable but not essential; Microsoft's Fabric data platform, Experience with ADF such as More ❯

Essential Experience: Strong background in data analysis within local government or public services Proficiency in SQL , Power BI or Tableau , and preferably Python or R Understanding of public sector data systems, governance, and local government datasets Ability to communicate complex data clearly and effectively Comfortable working across multiple projects in More ❯

objectives. Validate models for accuracy, suggest and test improvements. Required Skills & Experience: Proven experience with MMM development and implementation. Strong Python skills; familiarity with R for MMM. Expertise in regression modeling, statistical and ML techniques . Experience with probabilistic programming, Bayesian methods, PyMC and MCMC. Proficient in SQL and/ More ❯