1 to 25 of 33 R Jobs in the City of London

or large-scale environment. Strong understanding of data governance, data quality, and compliance frameworks (e.g., GDPR, CCPA). Expertise in data analytics tools and technologies, such as SQL, Python, R, Tableau, or similar. Experience with big data technologies and cloud platforms (e.g., AWS, Azure, Google Cloud). Excellent analytical and problem-solving skills, with a strong business acumen. Exceptional communication More ❯

and other relevant services. Implement 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. Work with API developers to More ❯

Developed Azure cloud experience for data storage and processing, considerations made for alternate cloud providers such as AWS and GCP. Substantial programming ability using languages/tools such as R, Python and C++ for data manipulation and scripting Solid understanding of relevant data governance, data quality, and data security best practices Strong problem-solving skills, and the ability to think More ❯

quarterly business reviews. What you’ll bring Strong background in data science and analytics, with experience developing and deploying statistical or machine learning models. Advanced skills in Python or R and SQL, with experience using Power BI or Tableau for data visualisation. Proven ability to translate complex data into clear, actionable business recommendations. Excellent communication and stakeholder management skills. Prior More ❯

both professional growth and team performance. Exceptional communication skills, with the ability to adapt presentation style and messaging to suit different audiences. Proficient in SQL (essential) and experienced with R or Python (preferred). Strong data visualisation expertise, using tools such as Power BI, Looker, or Tableau to present insights effectively. Extensive background in product, web, or digital analytics, ideally More ❯

tools, such as Metabase, Tableau, Looker and PowerBi. Knowledge of dbt. Familiarity with data warehouses like BigQuery, Snowflake and Redshift. Knowledge in another programming language such as Python or R or a keen desire to develop programming skills. Good statistical understanding. Other Skills: Strong ability and desire to learn. Why Work With Us A focused yet fun working environment. We More ❯

Key Accountabilities include; Data Analysis: Analyse user behaviour, product usage, and feedback to generate actionable insights for AI-enabled digital services. Use tools such as Power BI, Python, or R to visualise data and support decision-making across product life cycles User Research: Conduct qualitative and quantitative research to understand user needs, behaviours and pain points in relation to AI More ❯

training and support on AI tools and best practices Staying up to date with the latest AI advancements Requirements: Proven experience in AI/ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field (preferred More ❯

presentation skills, both written and verbal; able to describe complex technical problems to a variety of audiences Ability to manage multiple projects and meet deadlines. Programming skills in Python, R, or other analytical tools (nice to have) Familiarity with statistical methods and machine learning algorithms (nice to have) Why you’ll love life at Veran Veran Performance offers a dynamic 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 ❯

Proficiency in SQL , familiarity with NoSQL Comfortable using Git and Jupyter notebooks A practical, problem-solving mindset with a focus on clean, reliable delivery Nice to have: Experience with R or other statistical tools Exposure to model deployment/MLOps environments Familiarity with high-volume digital products or gaming/sports analytics 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 ❯

of RAG and agentic systems. Both on performance and compliance (harm, guardrails, etc) 4+ years of development competency across a variety of languages, frameworks, and tooling, such as Python, R, Kubernetes, Kubeflow, JavaScript/JVM, Kafka Background in Application development, deployment, and monitoring on Kubernetes Proficient in PyTorch or similar frameworks (e.g Tensorflow) – demonstrates strong understanding of neural networks and More ❯

S kills Data manipulation and analysis SQL for querying and manipulation of structured customer and campaign data (mandatory) MS Excel including pivot tables, VLOOKUP, Power Query (mandatory) Python or R for advanced data manipulation, statistical analysis and modelling (mandatory) Data visualisation Power BI and/or Looker Studio for creating dynamic dashboards and reports in context of marketing KPIs (mandatory … in data analytics, forecasting, or marketing analytics (e.g., Google Analytics, Microsoft Power BI, Tableau, CIM, or similar) (highly desirable) Familiarity with tools or languages used for statistical forecasting (e.g., R, Python More ❯

documentation and knowledge sharing to promote transparency and collaboration. Your Skills: Significant experience working with data in a commercial or digitally native environment. Proficiency in SQL, dbt, Python, or R, with experience using BI tools such as Looker, Tableau, or Lightdash. Strong ability to translate complex business problems into analytical tasks and communicate insights effectively. Confident data storyteller with excellent More ❯

or similar BI tools ✅ Experience building or working with data pipelines ✅ A track record of turning data into insights and business recommendations Nice to Have: Exposure to Python or R for statistical/data analysis Experience working with customer churn, loyalty, or retention metrics Background in FinTech or product-led environments About You: Proactive, self-starter who thrives in a More ❯

self-service analytics Develop a culture of data-driven decision-making and proactively suggest improvements to tools, processes, and architecture Requirements Exceptional SQL skills and comfortable with Python/R, with considerable experience building and deploying machine-learning models An experienced problem solver with a head for building solutions that have real business impact Experience working at a fast-paced More ❯

and eventually transition to a hybrid work model (2 days in-office, London). 🔑 What We're Looking For: Proven experience in econometrics and data analysis using tools like R or Python. Exceptional communication skills to translate complex insights into clear, actionable advice. Strong project management skills and a knack for relationship building. A degree in a quantitative discipline (e.g. More ❯

Support analytics and AI teams with clean, production-ready data About you: 3+ years in Analytics/Data Engineering Strong SQL and database design skills Proficient in Python or R for automation Hands-on with cloud platforms (AWS/GCP/Azure/Snowflake) Passion for data quality, scalability, and collaboration Nice to have: Experience with SaaS products, analytics tooling More ❯

and help software engineers upskill on GenAI relevant techniques and tools Technical Requirements 6+ years of development competency across a variety of languages, frameworks, and tooling, such as Python, R, Kubernetes, Kubeflow, JavaScript/JVM, Kafka 4+ years of years of experience in designing, developing, deploying, and monitoring machine learning and GenAI solutions 2+ years of experience in Application development More ❯

Highly numerate with the ability to convert technical analysis into real-world applications Strong knowledge of regression and time-series analytics Good knowledge of Excel, common statistical packages (Eviews, R, Python, etc.) and PowerPoint Interest in media & marketing Excellent communication skills, both written and spoken Excellent problem-solving skills Ambitious, determined and self-motivated Strong attention to detail and accuracy More ❯

to IRRBB, CSRBB, ALM, Treasury, or Balance Sheet Risk. Technical: Hands-on QRM experience (configuring models, running sensitivities/scenarios, interpreting EVE/NII). Programming: Proficient in Python, R, or similar. Risk Framework: Strong understanding of risk measurement's link to management actions (limits, stress testing, ICAAP). Regulatory: Familiarity with EBA/ECB IRRBB & CSRBB requirements. Communication: Exceptional More ❯

or eCommerce. Expert-level SQL and experience with BigQuery or Snowflake. Proven stakeholder management and presentation experience. Confident working with large, complex data sets. Desirable: Experience with Python or R for modelling and forecasting. Background in partner, marketplace, or B2B analytics. THE BENEFITS: £450-£500 per day (inside IR35). 3-month initial contract with extension potential. Hybrid working from More ❯

such as AI Collaborating with data professionals across Victim Support's national data function and within MOPAC's Data & Insight function You will need: experience using either Python or R to bring data together from diverse sources and prepare for analysis using cleaning and preparation techniques extensive practical experience of using innovative platforms for data visualization including R Shiny, Power More ❯

youll need Strong background in risk modelling and using these insights to inform business decisions Proven experience building risk models from scratch and enhancing existing ones Excellent skills in R, Python, or SAS Experience leading complex model updates (both operational enhancements and full development projects) with clear communication of outcomes Ability to present to stakeholders and translate risk issues into More ❯