1 to 25 of 36 Permanent R Jobs in the City of London

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 ❯

standards, including consumer duty, financial crime, and prudent management requirements. What you can bring Strong SQL experience, with additional skills in Power BI (essential) and ideally some exposure to R, Python, DAX or similar languages. Experience working in cloud-based data environments , ideally Azure. A background in insurance or financial services would be highly beneficial. Excellent communication and stakeholder skills More ❯

with the ability to translate data insights into business strategie s.Advanced analytical and quantitative skil ls, with expertise in statistical analysis and predictive modelin g.Proficiency in SQL, Python, or R, and experience with data visualization tools such as Power BI, Tableau, or Looker Studi o.Excellent stakeholder management skil ls, with the ability to communicate complex data findings to non-technical More ❯

data security and implement best practices. What We’re Looking For: 3 - 4+ years in data and analytics consulting (more for senior roles). Strong experience with SQL, Python, R, PowerBI, Tableau, or similar tools. Excellent project management and team leadership skills. Strong problem-solving, attention to detail, and client communication skills. Degree in Computer Science, Data Science, Mathematics, Statistics 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 ❯

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 ❯

and champion innovative approaches to product data science. The Candidate Proven experience in analytical roles, ideally within a digital-first or tech-led business. Skilled in SQL, Python or R, plus familiarity with BI tools (e.g. Looker, Tableau, Lightdash). Ability to translate business challenges into clear analytical projects and recommendations. Strong data storytelling and presentation skills, with confidence engaging 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 ❯

in partnership with engineering and tagging teams. Leading and developing a team of digital analysts, providing coaching, direction, and technical guidance. TECHNICAL ENVIRONMENT Tools: SQL, GA4, BigQuery Languages: Python, R Focus Areas: Digital analytics, predictive modelling, product behaviour, insight generation No tagging responsibilities — handled by a specialist team Leadership-first role, but with enough technical depth to guide high-quality 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

unified approach to data. YOUR SKILLS AND EXPERIENCE: Significant experience working with data in an analytical role, ideally in a consumer/tech company. Proficiency in SQL, dbt, Python, R and BI tools such as Looker, Lightdash or Tableau. Ability to translate business problems into analytical tasks and communicate insights clearly at all levels. AB testing/experimentation experience Strong More ❯

Analysis: Demonstrated ability to analyse customer journeys and behavioural data to inform and influence strategic business decisions. Technical Proficiency: Advanced SQL skills (required), with additional experience in Python or R considered an advantage. Data Visualization: Proficient in using tools such as Tableau and Looker to create compelling, actionable visual insights. Stakeholder Communication : Skilled at presenting complex findings in a clear 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 ❯

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 ❯

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 ❯

team of analysts, fostering curiosity and innovation. Act as the bridge between data and business stakeholders, translating analytics into commercial outcomes. Tech Environment Tools: SQL, GA4, BigQuery Languages: Python, R Environment: Modern data infrastructure with dedicated tagging and engineering support. No tagging work required – focus purely on insights and impact. About You 5+ years’ experience in analytics, insights, or data 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 ❯