1 to 25 of 388 R Jobs in London

and collaboration skills, with the ability to work effectively in a team-oriented environment. Preferred Skills: Experience with programming languages such as Python or R for data analysis. Knowledge of big data technologies (e.g., Hadoop, Spark) and data warehousing concepts. Familiarity with cloud data platforms (e.g., Azure, AWS, Google Cloud More ❯

quantitative field. 5+ years of experience in a BI or advanced analytics role, preferably in a client-facing environment. Expert-level proficiency in SQL, R or Python, and BI tools (e.g., Power BI, Tableau). Strong understanding of statistical concepts and their practical applications. Demonstrated experience in managing large-scale More ❯

Science, or another quantitative field. Skills and knowledge required include: Familiarity with supervised and unsupervised learning (e.g. regression, classification, clustering) Basic experience in Python, R, or SQL, and familiarity with libraries such as Scikit-learn, TensorFlow, or PyTorch Experience with data visualisation tools such as Power BI or Tableau Awareness More ❯

expertise in gathering requirements and insights, mining large and diverse data sets, data visualization, writing complex SQL queries, building rapid prototype using Python/R and generating insights that enable senior leaders to make critical business decisions. The ideal candidate has experience providing guidance and support for other engineers with More ❯

Proven ability in implementing BI engineering best practices (e.g. analytical rigor, code quality, data quality, data modelling, operational excellence, automation, visualization). - Experience with R, Python or other statistical/machine learning software. - Be self-driven, and show ability to deliver on ambiguous projects. Amazon is an equal opportunities employer. More ❯

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 ❯

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 ❯

experience working with large operational datasets Advanced proficiency with at least one data visualization tool (Metabase, Looker, Tableau, Power BI) Experience with Python or R for operational data analysis Deep familiarity with common business operations metrics Bachelor's degree in a quantitative field (Statistics, Economics, Computer Science, Mathematics) or equivalent More ❯

experience 2+years work experience in data science, working in a commercial setting orin consulting Experiencewith Machine Learning and statistical modelling techniques Strongprogramming skills in R and/or Python Experienceapplying advanced analytics and Machine Learning to solve businessproblems Experiencewith data visualization software/libraries (Tableau, PowerBI) Comfortworking both on a More ❯

parametric (e.g. random forest, neural net) techniques as well as wider ML techniques like clustering/random forest (desirable). Tech Stack: SQL, Python, R, Tableau, AWS Athena + More! More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share More ❯

academic basis within data analysis and science through an additional MSc would be an advantage. Data Tools: Previous experience with tools such as Excel, R, SQL or Python are essential for this role. If you have utilised visualisation programmes such as Tableau or Power BI in projects before, we are More ❯

Power BI or other BI packages - Experience defining requirements and using data and metrics to draw business insights PREFERRED QUALIFICATIONS - Experience using Python or R for data analysis or statistical tools such as SAS - Bachelor's degree or equivalent - Experience with data querying or modeling with SQL, Excel - Experience in More ❯

advertising ecosystem. Expertise in data modeling, ETL pipelines, statistical analysis, and visualization tools (e.g., Tableau, Power BI). Hands-on experience with SQL, Python, R, or similar languages for data analysis. Familiarity with cloud platforms (e.g., AWS, Google Cloud) and big data tools (e.g., Spark, Snowflake). Exceptional leadership, project More ❯

parametric (e.g. random forest, neural net) techniques as well as wider ML techniques like clustering/random forest (desirable). Tech Stack: SQL, Python, R, Tableau, AWS Athena + More! More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share 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 ❯

opportunities Career progression in a supportive environment Skills and Experience Proven experience in data science, including machine learning and statistical analysis. Proficiency in Python, R, or similar programming languages. Strong SQL skills for data manipulation and querying. Experience with data visualisation tools such as Tableau or Power BI. Experience with More ❯

problem-solving skills and an interest in learning new techniques and personal development. At least 3 years of object-oriented programming experience in Python, R, or C++. Professional experience with database development in SQL (PostgreSQL), Oracle, and SQL Server. Experience working in Windows and Linux/Unix environments, including shell More ❯

Undergraduate Degree: In a STEM field, with a solid academic basis in data analysis; MSc is a plus. Data Tools: Experience with Excel, R, SQL, or Python is essential. Experience with Tableau or Power BI is advantageous. Analytical Problem Solving: Ability to spot patterns, think creatively, and dissect complex issues. More ❯

creative thinking skills. Solid understanding of statistics, hypothesis testing, and distribution theory. Excellent communication skills for technical and non-technical audiences. Proficiency in SQL, R, and/or Python. Excel skills for data analysis and manipulation. Awareness of industry trends and advancements. Knowledge of measurement methodologies including MMM, research, and 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 ❯

Translate data findings into profit-driving strategies. SKILLS AND QUALIFICATIONS Proficiency in Excel and PowerPoint. Experience with programming/computer languages such as SQL, R, or Python. Experience with business intelligence tools such as Power BI or Tableau. Strong written and oral communication and presentation skills. Strong analytical and critical More ❯

time posted on Posted 3 Days Ago time left to apply End Date: May 31, 2025 (11 days left to apply) job requisition id R Job Description Summary Job Description Principal Data Analytics Engineer Permanent Location: London (We believe in the power of in-person collaboration, and our hybrid model More ❯

processes and data pipelines to support our clients •Develop data models, analytics and reporting using capabilities such as Legend Studio, Snowflake, Alteryx, SQL, Tableau, R, Python •Manage prioritization and stakeholder engagement to maximize delivery towards established business goals. BASIC QUALIFICATIONS •Minimum of 4 years of experience in Business Intelligence, Data More ❯

years of data scientist experience and 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience. 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience. Experience More ❯

Science, Mathematics, Economics, Engineering, or Computer Science). A proven track record in consumer products, digital media, or entertainment industries. Proficiency in SQL, SAS, R, Python, or other programming languages for querying and analyzing data. Hands-on expertise with visualization tools such as Tableau or Looker. A proactive approach to More ❯