126 to 150 of 485 R Jobs in London

You will bring scientific rigor and statistical methods to the challenges of business growth and product development What you'll do: You will be expert with Python, Scala or R, or any other major machine learning programming language You will design complex experiments and apply common methods such as linear and non-linear aggression, multivariate analysis. You will display advanced More ❯

and balance priorities Experience with SQL scripting and self-serving on data from multiple data platforms Knowledge of analysis techniques a plus regression, clustering, prediction Hands on experience with R, Scala, Python or equivalent tools a plus Other marketing channel and platform experience a plus Benefits are an essential part of your total compensation for the work you do every More ❯

The successful candidate will have: A master's degree in economics, data science, or related field; Familiarity with algorithms for extracting information from massive textual corpora; Proficiency in Python, R, or other core language for unstructured data analysis; Familiarity with the applied econometric toolkit; Excellent problem solving and analytical skills and a strong attention to detail; Strong organisational and administrative More ❯

Central London Salford Quays time type Full time posted on Posted Yesterday time left to apply End Date: July 24, 2025 (8 days left to apply) job requisition id R Job Description: Senior Data Platform Engineer - Azure Primary location: Salford (M50 3SP) or Staines (TW18 3DZ) or London (EC2R 7HJ) Flexible/Hybrid working options. Permanent Salary Negotiable depending on More ❯

/web analytics, AB testing and optimising digital products. Track record of driving business decisions and impact. Strong technical skill set with analytical tools such as SQL, Python/R for analytics, PowerBI and/or Tableau for visualisation, Amplitude, Fullstory or Google Analytics as product optimisation tools. Comfortable at managing multiple projects and stakeholders with competing deadlines and priorities More ❯

the role As a Senior Data Scientist you will be instrumental in shaping the technical backbone of the analytics function at Focaldata. In this role, you'll develop advanced R tools and scalable solutions to support research and analytics teams, while leading the implementation of cutting-edge modelling techniques. You'll collaborate on diverse projects, enhance our analytics infrastructure, and … mentor team members in best practices. If you're passionate about data science, skilled in R, and eager to make an impact in public opinion and research, we'd love to hear from you. What you'll do This is a key role in shaping the technical backbone of the analytics function at Focaldata. Your areas of focus will be … Build internal R packages to automate and standardise core tasks like weighting, modelling, and charting. Develop scalable tooling to support our research and analytics teams-from data pipelines to custom dashboards. Lead the development and deployment of advanced modelling techniques (e.g. multilevel regression, segmentation, random forest models, text analysis). Collaborate with the wider team on bespoke research and client More ❯

initiatives and offers the opportunity to make a significant impact on our data quality and integrity. Preferred Skills and Experience Experience with data analysis tools such as SQL, Python, R, or similar. Understanding of data quality metrics and KPIs. Previous experience in a data analyst or similar role (internships or projects). Ability to work in a fast-paced environment More ❯

managing external agencies, third-party suppliers, and internal stakeholders. Advanced Excel skills and experience with data visualisation tools. Knowledge of statistics or data science, with experience in Python or R being advantageous. Previous line management experience is desirable. What's on Offer: A highly collaborative, data-driven culture with opportunities to influence business-wide decisions. Competitive salary and benefits package. More ❯

Advanced proficiency in SQL and data visualisation tools Proven ability to extract meaningful insights from diverse data sources Familiarity with advanced analytics techniques and exposure to tools such as R or Python Confidence in communicating technical concepts to both technical and non-technical audiences Company: Graduate Recruitment Bureau (Hiring for client) Salary Notes: £45-50K Courses Considered: Data Science More ❯

Azure Data Factory Exposure to AI/ML tools (e.g. Azure OpenAI, Azure ML, Cognitive Services) Solid understanding of SQL, REST APIs, and cloud data integration Familiarity with Python, R, or similar scripting languages Bonus points for experience with Azure Synapse, Databricks, or Power Apps Microsoft certifications (PL-300, DP-203, AI-900) are a plus Benefits : Salary up to More ❯

Exposure to or knowledge of AI/ML tools (e.g. Azure OpenAI, Azure ML, Cognitive Services) Solid understanding of SQL, REST APIs, and cloud data integration Familiarity with Python, R, or similar scripting languages Bonus points for experience with Azure Synapse, Databricks, or Power Apps Microsoft certifications (PL-300, DP-203, AI-900) are a plus Benefits : Salary up to More ❯

machine learning, statistical modeling, and data analysis Experience with large-scale distributed systems and cloud computing Proven track record of solving complex analytical problems Excellence in scientific programming (Python, R, or similar) Communication skills to collaborate with cross-functional teams Passion for mentoring and technical leadership You'll join a team that values innovation and scientific rigor, working alongside world 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 ❯

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 ❯

in the field of Growth Revenue Management, Marketing Analytics, CLM/CRM Analytics and/or Risk Analytics. Conduct analyses in typical analytical tools ranging from SAS, SPSS, Eviews, R, Python, SQL, Teradata, Hadoop, Access, Excel, etc. Communicate analyses via compelling presentations. Solve problems, disaggregate issues, develop hypotheses and develop actionable recommendations from data and analysis. Prepare and facilitating workshops. 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 ❯

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 ❯

NoSQL etc. experience - Experience with 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 PREFERRED QUALIFICATIONS - Experience with AWS solutions More ❯

and performance metrics is essential. CRM Knowledge: Familiarity with CRM data structures and lifecycle marketing metrics such as engagement and retention. Technical Proficiency: Strong command of SQL , Python , or R , and experience with visualisation tools like Power BI and Tableau is essential. Google Cloud Platform (GCP) Experience: Hands-on skills with GCP and web/app analytics platforms including Google More ❯

and performance metrics is essential. CRM Knowledge: Familiarity with CRM data structures and lifecycle marketing metrics such as engagement and retention. Technical Proficiency: Strong command of SQL , Python , or R , and experience with visualisation tools like Power BI and Tableau is essential. Google Cloud Platform (GCP) Experience: Hands-on skills with GCP and web/app analytics platforms including Google More ❯

Business Studies. Excellent knowledge of Microsoft Office, including Excel and PowerPoint. Data analysis skills essential; knowledge of statistics modelling is preferred. Experience with analytics tool such as Tableau, SQL, R, Python or MATLAB is a plus. Client-facing experience is a plus. Benefits Hybrid working Wellbeing: Sanctus Coaching, Virtual fitness sessions, Wellbeing webinars, Annual Wellbeing day. Subsidised Gym Membership. Private 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 ❯

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 ❯

to justify product decisions, and apply key learnings. Strong understanding of clickstream data and product instrumentation/tagging strategy Ability to manipulate and analyse data using tools like SQL, R or Python. Excellent written and verbal communication skills. Ability to communicate and coordinate between teams. Excellent influencing and negotiation skills - ability to manage expectations. Strong problem-solving skills and ability More ❯

qualifications are a bonus, not a requirement. 3-8+ years of data science/quantitative modeling experience Proficiency in SQL and a computing language such as Python or R Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation Experience in working with cross-functional More ❯