76 to 100 of 467 R Jobs in London

or machine learning pipelines, incl. deep learning, GenAI, LLM, etc. as well as hands on experience on AWS services like SageMaker and Bedrock, and programming skills such as Python, R, SQL, Java, Julia, Scala, Spark/Numpy/Pandas/scikit, JavaScript Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our More ❯

or analytics experience in retail/FMCG Bachelor's or Master's in a quantitative discipline (e.g., Economics, Statistics, Data Science) Expert SQL skills and proficiency in Python or R for statistical modelling Hands-on dashboarding experience with Tableau or Power BI Demonstrable experience designing and analysing A/B tests Strong storytelling and stakeholder-management skills Full UK work … tools (dbt, Airflow) Experience with loyalty-programme analytics or CRM platforms Knowledge of machine-learning frameworks (scikit-learn, TensorFlow) for customer scoring Technical Toolbox Data & modeling: SQL, Python/R, pandas, scikit-learn Dashboarding: Tableau or Power BI ETL & warehousing: dbt, Airflow, Snowflake/Redshift/BigQuery Experimentation: A/B testing platforms (Optimizely, VWO) Desired Skills and Experience 8+ … years in retail/FMCG customer insights and analytics Built customer segmentation, CLV, and propensity models in Python/R Designed and analysed A/B and multivariate tests for pricing and promotions Developed ETL pipelines and real-time dashboards in Tableau and Power BI Extensive SQL for large-scale data extraction and transformation Presented insights and recommendations to marketing More ❯

or analytics experience in retail/FMCG Bachelor's or Master's in a quantitative discipline (e.g., Economics, Statistics, Data Science) Expert SQL skills and proficiency in Python or R for statistical modelling Hands-on dashboarding experience with Tableau or Power BI Demonstrable experience designing and analysing A/B tests Strong storytelling and stakeholder-management skills Full UK work … tools (dbt, Airflow) Experience with loyalty-programme analytics or CRM platforms Knowledge of machine-learning frameworks (scikit-learn, TensorFlow) for customer scoring Technical Toolbox Data & modeling: SQL, Python/R, pandas, scikit-learn Dashboarding: Tableau or Power BI ETL & warehousing: dbt, Airflow, Snowflake/Redshift/BigQuery Experimentation: A/B testing platforms (Optimizely, VWO 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 ❯

Location: Remote, UK Skills: Advanced knowledge of data management tools including SQL/DBMS, MongoDB, Hadoop and/or other big data technologies. Advanced programming skills in Java, Python, R, C++, C#, etc. Knowledge of statistical and data mining techniques (regression, decision trees, clustering, neural networks, etc.). Experience with data visualization tool is plusExposure to online, mobile, and social 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 ❯

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 ❯

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 ❯

Hands-on experience with similar sports technology (GPS, video analysis, tactical applications, etc.) Experience with data visualisation tools such as Tableau and PowerBI Experience using programming languages like Python, R, C++, etc. Personal Characteristics: Team player mindset Strong communication skills Diligent follower of process with high attention to detail Highly organised Ability to learn quickly, plan and adapt to demands More ❯

analysis, machine learning, meta-analysis, mixed effect modeling, longitudinal modeling, Bayesian methods, variable selection methods (e.g., lasso, elastic net, random forest), design of clinical trials. Strong programming skills in R and Python. Demonstrated knowledge of data visualization, exploratory analysis, and predictive modeling. Excellent interpersonal and communication skills (verbal and writing). Ability to develop and deliver clear and concise presentations More ❯

world business problems using machine learning, deep learning, data mining and statistical algorithms • Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory • Strong analytical thinking • Ability to creatively solve business problems, innovating new approaches where required and articulating ideas to a wide range of audiences using strong More ❯

product we deliver aligns closely with user needs and provides value to the wider Modo team. Qualifications: 3 to 5 years experience using Python (or another programming language e.g. R, C++, Java) and with the scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). Strong quantitative skills and a proven track record of solving complex technical problems using data analysis More ❯

product we deliver aligns closely with user needs and provides value to the wider Modo team. Qualifications: 3 to 5 years experience using Python (or another programming language e.g. R, C++, Java) and with the scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). A degree in a quantitative field such as mathematics, engineering, computer science, physics or a related More ❯

product we deliver aligns closely with user needs and provides value to the wider Modo team. Qualifications: 3 to 5 years experience using Python (or another programming language e.g. R, C++, Java) and with the scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). A degree in a quantitative field such as mathematics, engineering, computer science, physics or a related More ❯

is looking to expand its use of more advanced statistical methods within the next iteration of planning, forecasting and modelling tools, so experience with open-source software such as R and Python will be of value. King's BIU provides a flexible working environment with a mix of home and office-based working, with offices in Orpington and King's More ❯

understanding of data modelling principles, data dictionaries and key data modelling tools such as ER studio, Oracle SQL Developer data. Knowledge of SQL and other programming languages such as R and Python. Strong understanding of data management, data quality, master data management and other data governance principles. Familiarity with project governance tools and artifacts for product delivery (e.g. JIRA, Epic 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 ❯

data querying and modeling infrastructure. Manage your own process. Prioritize and execute on high impact projects, triage external requests, and ensure to deliver projects in time. Utilizing code (Python, R, Scala, etc.) for analyzing data and building statistical models. BASIC QUALIFICATIONS - 2+ years of data scientist experience - 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 applying theoretical models in an applied environment PREFERRED QUALIFICATIONS - Experience in Python, Perl, or another scripting language - Experience in a ML or data scientist role with a large technology 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 ❯

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 ❯

teams. What you’ll bring: Degree in a quantitative field (e.g. Maths, Engineering, Economics) Experience in forecasting, econometrics, or transport modelling Skilled in Excel, PowerBI; familiarity with Python or R preferred Confident communicator with board-level presentation skills Ideally from aviation, transport, infrastructure, or strategic consulting Why apply? Strategic, high-impact role at the heart of a critical UK infrastructure More ❯

buying strategies, including channel allocation and budget optimization. Advanced Analytics: Explore machine learning techniques to enhance insights and model accuracy. Your Experience and Skills Data Science: Proficiency in Python, R, SQL, including data manipulation, statistical modeling, and visualization. Econometrics: Experience with regression, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement 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 ❯