1 to 25 of 72 R Jobs in Slough

big data technologies. Requirements: Proven experience as a Data Scientist or similar role. Proficiency with Databricks and its ecosystem. Strong programming skills in Python, R, or Scala. Experience with big data technologies such as Apache Spark, Databricks. Knowledge of SQL and experience with relational databases. Familiarity with cloud platforms (e.g. More ❯

mathematics, physics, operational research, econometrics, statistics, or another quantitative field. Experience in a data science and analytics role using tools such as SQL, Python, R, Power BI, and Azure. Experience with Databricks and working with large amounts of data. Ready to innovate in the field of data science and analytics More ❯

a similar analytical role. Strong proficiency in data visualization tools such as Tableau, Power BI, or similar. Experience with programming languages such as Python, R, or SQL for data manipulation. Knowledge of statistical analysis techniques and their application in a business context. Excellent problem-solving skills and attention to detail. More ❯

Visualization Tools: Tibco Spotfire, Tableau, Power BI, or QlikView Data Management & Querying: SQL, ETL pipelines, Data Warehousing (e.g., ODW) Scripting/Programming: Iron Python, R, R Shiny, SAS Collaboration & Platforms: SharePoint, clinical trial data platforms Qualifications Entry Level: Bachelor's degree in a technical field (Engineering, Computer Science, Life Sciences 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 ❯

physics, operational research, econometrics, statistics, or another quantitative field. Extensive experience in a data science and analytics role using tools such as SQL, Python, R, Power BI, and Azure. Experience with Databricks and working with large amounts of data. Ready to lead and innovate in the field of data science 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

leadership roles. Experience driving enterprise-wide data transformations within global, customer-focused businesses. Strong technical background across analytics tools and languages (e.g., SQL, Python, R, Tableau, Power BI). Proven success in working with cross-functional stakeholders to deliver business outcomes through data. Strategic thinker and ability to shape long More ❯

in delivery of complex, advanced analytics and/or data science solutions. Expert working knowledge of a range of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure 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 ❯

data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines 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 Experience More ❯

least 3 years of relevant experience in risk management or quantitative research, ideally within a trading or investment environment. Strong programming proficiency in Python, R, MATLAB, or similar languages, with demonstrated experience in statistical analysis and model development. Familiarity with risk metrics and methodologies including Value at Risk (VaR), Conditional More ❯

portfolio would be a strong advantage) Advanced SQL skills, with the ability to write complex queries and work with large datasets Familiarity with Python, R or other scripting tools for deeper analysis. You’ll be the only analyst in this team, so working autonomously is key (you’ll be supported More ❯

techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models More ❯

with software such as GastroPlus, Simcyp, MATLAB, or Python for developing and utilising PBPK/PBBM models. Experience with statistical programming environments such as R or SAS. Demonstrated expertise in: Drug product development using modelling methodologies such as PBPK/PBBM. Regulatory processes involving modelling and simulation tools, including interaction More ❯

reports and dashboards (2+ years) Experience writing complex SQL queries (2+ years) Experience with Python (2+ years) Experience in the insurance industry Experience with R, LLM’s and autonomous agents preferred Experience in both Agile and Waterfall methodologies If you think you look a good match for this position, please More ❯

years of experience in data analysis, statistical modeling, and machine learning. Proficiency with Python, and preferably Dataiku or similar platforms; with strong skills in R, or SQL. Excellent communication skills, able to present technical findings to non-technical stakeholders. Experience working with customer data or analytics to provide actionable insights. More ❯