1 to 25 of 53 R Jobs in the City of London

Science, Mathematics, Computer Science, Statistics, or a related field. 🧠 Solid understanding of data analysis, machine learning concepts, and statistical methods. 🐍 Proficiency in Python (e.g., Pandas, Scikit-learn, NumPy) or R, with exposure to tools like Jupyter, SQL, or cloud platforms (e.g., AWS, GCP). 📊 Experience working with data—through academic projects, internships, or personal work—and a curiosity to learn More ❯

and fast-paced problem-solving. What We’re Looking For: 2–4 years of experience in data science, machine learning, or commercial/pricing analytics. Proficiency in Python/R, SQL , and ML libraries (e.g., scikit-learn, TensorFlow, XGBoost). Experience with data visualisation tools (Tableau, Power BI) and statistical methods. Ability to communicate insights clearly to non-technical stakeholders. More ❯

of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL skills Familiarity with coding best practices (version control, testing, documentation) Experience working with relational database systems and cloud platforms (Azure or AWS preferred) Comfortable working in a More ❯

of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL skills Familiarity with coding best practices (version control, testing, documentation) Experience working with relational database systems and cloud platforms (Azure or AWS preferred) Comfortable working in a More ❯

record in Data Engineering and supporting the business to gain true insight from data. Experience in data integration and modelling including ELT pipelines. Strong SQL, Python/Scala/R; experience with ELT pipelines and Power BI Solid knowledge of data Lakehouse architecture and Azure services Insurance or MGA data experience preferred Strong communication, stakeholder engagement, and problem-solving skills More ❯

time. Communicate complex analytical findings in clear, actionable terms for stakeholders across the business. YOUR SKILLS AND EXPERIENCE: The ideal Senior Data Analyst will have: Proficiency in Python or R , with hands-on experience building analytical models. Strong knowledge of statistical techniques , from regressions to machine learning algorithms. Excellent SQL and data manipulation skills , with experience working on large, complex More ❯

ideally in an agency environment Advanced knowledge of regression models , predictive analytics , and time series forecasting Proficient in SQL, Excel (including Power Query and PivotTables), and either Python or R Skilled in dashboard development using tools like Power BI and Looker Studio Strong understanding of CRM, digital, web, and social campaign metrics Comfortable presenting insights to senior stakeholders and cross More ❯

better, more data-informed decisions A bit about you: Solid experience in at least three of the key responsibility areas above Hands-on with tools like SQL, Python/R, BigQuery, Snowflake or similar Proficient in BI tools like Looker, Tableau or Power BI Excellent communication and stakeholder management skills Deep understanding of marketing data infrastructure and data collection best More ❯

Computer Science, Maths or similar. 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 interest, please apply here. Please More ❯

to Collibra or similar data governance tools is highly advantageous. Desirable Skills 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 ❯

the forefront of technological advancements REQUIREMENTS: PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Proven experience in clustering and propensity Strong coding skills in Python, R or MATLAB Excellent communication skills Knowledge of databases and SQL NEXT STEPS: Register your interest by sending your CV to Joseph Gregory via the Apply link on this page. KEYWORDS More ❯

3+ years in a Data Analyst role within complex business environments Strong SQL skills and experience with data visualisation tools (Power BI, Tableau, or similar) Experience of Python or R would be a plus. Comfortable working with large datasets and drawing business-relevant conclusions Excellent stakeholder management and communication skills Experience in the banking or financial sector is a strong More ❯

strategy. What They’re Looking For Solid experience in yield, pricing, or forecasting optimisation – ideally within online marketplaces, programmatic media, travel, or insurance. Strong technical skills in Python or R, and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statistical More ❯

Own and evolve our analytics and reporting capabilities in support of the CIO and research teams. Lead the development of proprietary tools and enhance our modelling capabilities using Python, R, SQL, NLP, and machine learning. Collaborate across data, infrastructure, and engineering teams to build scalable solutions. Guide the development of management reporting, investment KPIs, and external disclosures. Mentor a team … or wealth management. Strong grasp of data infrastructure, modelling, and financial datasets (e.g. Morningstar, Bloomberg, Datastream). Proficiency in Power BI, Alteryx, Snowflake , and advanced Excel. Coding in Python, R, and SQL is highly desirable. Understanding of ESG, performance, risk, and liquidity data. Excellent communication skills, with the ability to present complex findings to senior stakeholders. A natural leader and More ❯

Computer Science, Economics or related field. 3+ years in a Data Analyst or Business Intelligence role. Experience in financial services or fintech preferred. Strong SQL and experience with Python, R or similar. Familiarity with data lakes/warehouses (Snowflake, Databricks). If you meet the above criteria and are looking for your next challenge, we’d love to hear from More ❯

quantitative context on flow behavior and platform usage What You Bring 1–3 years of experience in a financial markets, e-trading, or data analyst role Proficiency in Python, R, or KDB+/q for data processing and visualization Familiarity with market microstructure, FX trading conventions, or order routing logic Strong analytical skills and a bias toward proactive problem solving More ❯

timescales. Proven ability to tailor communication in a compelling way to both technical and non-technical audiences. 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 Machine Learning and Azure AI More ❯

proficiency in cloud platforms (AWS, GCP, or Azure) and data warehousing solutions. Hands-on experience with data integration tools, ETL processes, and statistical analysis tools (e.g., SAS, SPSS, STATA, R, Matlab) or general programming. Familiarity with SQL for large-scale datasets; training provided if needed. Prior experience at an insights/analytics vendor, advertising agency, or ad sales research team More ❯

communication skills and a team-focused approach Bonus (not essential): Internship or experience in market research/analytics Knowledge of techniques like regression, segmentation, significance testing Exposure to SPSS, R, Q, Sawtooth, Displayr, or similar platforms Why Join? Vibrant team with great culture – monthly socials, poker nights, London drinks Flexible hybrid working – minimum 1 day/week in office High More ❯

Analytics: Explore new data analysis 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, panel data analysis, and time More ❯

experience in a data-rich environment using data mining techniques and predictive analytics Managing and building a high-performance team and region, from senior managers to graduates Experience with R and Python would be beneficial Experience with GCP - essential Deep understanding of statistical concepts and how to apply this in a business context We believe that diversity is one of More ❯

across various industries. Responsibilities: Working with market research datasets, including primary quantitative survey data and complex, messy data sources like census data. Maintain and develop a library of reusable R functions that support our market research work. Run and build on regression, segmentation, and SRP models Build election models that inform key decisions. Deliver actionable insights around political trends, reputation … and crisis response. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in R and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. **Please note that this role does not offer visa sponsorship** How to Apply: Please register your interest by sending your More ❯

building and calibrating statistical/mathematical loss models, ideally across multiple perils. Proficiency with geospatial data (climate and Earth observation) and economic damage datasets. Strong programming skills in Python, R, or a similar language. Excellent communication skills, able to explain complex concepts to non-technical audiences. A self-starter who thrives in a fast-paced R&D environment. Experience in More ❯

data sources Support rollout of new measurement methods and models Build data visualisations and reporting dashboards (Tableau or similar) Collaborate with media partners and internal stakeholders Occasionally work with R and Python on pre-built models Optional: contribute to development of internal tools with basic HTML/JavaScript/CSS The Ideal Candidate Strong SQL skills (essential) Proven experience in … data and movement patterns (nice to have) Background in media, advertising, or a research-heavy sector preferred Experience with Tableau or similar BI/visualisation tools Bonus: Exposure to R/Python or light front-end development (HTML, JS, CSS) Why Join? Unique exposure to one of the UK’s most established audience measurement currencies Small team, but large industry More ❯

in Statistics, Mathematics, Economics, Data Science, or a related discipline A number of years experience in Risk Modelling, Credit Risk, Risk Management Proficiency in statistical tools, preferably Python or R Practical exposure to machine learning, predictive modelling, and advanced analytics techniques Industry experience in Automotive, Finance, or Manufacturing is highly desirable What’s in it for you: 💰 Salary More ❯