201 to 225 of 462 R Jobs in London

environment. What I am looking for: 4-6 Years Experience in Natural Catastrophe lines of business/Exposure Management within the London insurance market Strong skills in Python/R, SQL, and Power BI Clear and excellent communication skills If this sounds like an opportunity you would like to discuss further, do reach out to me at Eames Consulting is More ❯

modelling/exposure management within the London Insurance Market - Strong attention to detail, analysis and interpretation of data - Excellent communication skills - High proficiency in SQL, RMS/AIR, PowerBI, R, Python (Coding is highly preferred!) - Motivated and driven to progress your career within a collaborative and inclusive team! sueanne.phee@eamesconsulting.com More ❯

modelling/exposure management within the London Insurance Market - Strong attention to detail, analysis and interpretation of data - Excellent communication skills - High proficiency in SQL, RMS/AIR, PowerBI, R, Python (Coding is highly preferred!) - Motivated and driven to progress your career within a collaborative and inclusive team! sueanne.phee@eamesconsulting.com More ❯

modelling/exposure management within the London Insurance Market - Strong attention to detail, analysis and interpretation of data - Excellent communication skills - High proficiency in SQL, RMS/AIR, PowerBI, R, Python (Coding is highly preferred!) - Motivated and driven to progress your career within a collaborative and inclusive team! Eames Consulting is acting as an Employment Agency in relation to this More ❯

Advanced Experience with MS SQL is a strong advantage. Ability to build/design and manipulate queries to improve process Familiarity with another programming language such as VBA, .NET, R, Python is an advantage More ❯

analysis and data insights to technical and non-technical stakeholders YOUR SKILLS AND EXPERIENCE Strong technical experience in SQL (specifically within Windows Functions), Snowflake, Data Visualisation and Python/R Strong background in advanced analytics, predictive modelling and exploratory analysis Proven expertise in DBT and reporting Strong stakeholder management skills THE BENEFITS Up to £85,000 + bonuses + equity More ❯

analysis and data insights to technical and non-technical stakeholders YOUR SKILLS AND EXPERIENCE Strong technical experience in SQL (specifically within Windows Functions), Snowflake, Data Visualisation and Python/R Strong background in advanced analytics, predictive modelling and exploratory analysis Proven expertise in DBT and reporting Strong stakeholder management skills THE BENEFITS Up to £85,000 + bonuses + equity More ❯

an understanding of exposure management principles and application. Additionally, excellent analytical and data skills, Microsoft Excel abilities, experience of data visualisation tools and the ability to potentially code in R and/or Python will be advantageous. Core attributes required for this role include an enthusiastic team player, motivated self-starter, consistency in producing high-level results with an attention More ❯

an understanding of exposure management principles and application. Additionally, excellent analytical and data skills, Microsoft Excel abilities, experience of data visualisation tools and the ability to potentially code in R and/or Python will be advantageous. Core attributes required for this role include an enthusiastic team player, motivated self-starter, consistency in producing high-level results with an attention More ❯

software engineering background - experience both front and back end applications. Should still be a hands on Coder Fairly agnostic to Languages but ideally will have experience with either Python, R, Scala, C++, Java etc Experience at leading/mentoring a team of more Junior Engineers Strong commercial communication skills who can lead relationships with commercial stakeholders up to C-Level More ❯

science, marketing science, or analytics (media or agency experience preferred) Skilled in Python (essential), with experience in at least two of the following : MMM, Attribution, Propensity Modelling SQL and R are nice to have Strong strategic thinking and a commercial mindset A proactive, problem-solving approach with strong communication skills 🚀 Why Apply? Hybrid working with a vibrant Central London office More ❯

science, marketing science, or analytics (media or agency experience preferred) Skilled in Python (essential), with experience in at least two of the following : MMM, Attribution, Propensity Modelling SQL and R are nice to have Strong strategic thinking and a commercial mindset A proactive, problem-solving approach with strong communication skills Why Apply? Hybrid working with a vibrant Central London office More ❯

Agents or Delegated Authorities but not necessary Advanced knowledge of MS Excel including VBA and User Defined Functions is essential Insurance pricing model techniques Experience in Word and Powerpoint R or Python experience beneficial but not required Client requirement gathering exercises such as 1 to 1 meetings and workshops Experience creating specifications and using advanced specification techniques including various technical More ❯

Agents or Delegated Authorities but not necessary Advanced knowledge of MS Excel including VBA and User Defined Functions is essential Insurance pricing model techniques Experience in Word and Powerpoint R or Python experience beneficial but not required Client requirement gathering exercises such as 1 to 1 meetings and workshops Experience creating specifications and using advanced specification techniques including various technical More ❯

Proficiency in Excel, PowerPoint and Word Proficiency in SQL is a strong plus Experience with multiple reporting mediums (e.g., Periscope, Tableau, etc.) is a plus Familiarity with coding (Python, R, or VBA/Apps Script) is a plus Candidates must pass a quantitative test to proceed with the application process. More ❯

data systems Requirements Significant experience as a Data Science Engineer (or similar senior data role) Expertise in ETL tooling and pipeline development (e.g. dbt, Metabase) Proficiency in Python or R for data modelling and analysis Experience working with cloud platforms (AWS, GCP or Azure) Track record of deploying and maintaining reliable data systems at scale Excellent communication skills and ability More ❯

Qualifications & Skills Experience in modeling and validation within banking portfolios or related fields. Ability to interpret technical documentation and produce accessible reports. Proficiency in statistical programming languages (e.g., SAS, R, Python, Matlab, Excel). Strong analytical skills, attention to detail, and a control-oriented mindset. Excellent communication and presentation skills. Knowledge of regulatory compliance requirements. Good interpersonal skills, proactive, and More ❯

business application experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - Master's degree in math/statistics/engineering or More ❯

an advanced level - Knowledge of credit lifecycle including PD/LGD/EAD - Working knowledge of SQL and/or other scripting languages such as SAS/Python/R PREFERRED QUALIFICATIONS - Project Management Professional (PMP) or equivalent certification - Experience leveraging technology and implementing lean principles/Six Sigma methodologies to drive process improvements or equivalent - Master's degree or More ❯

managing a data or BI team - Experience in the data/BI space PREFERRED QUALIFICATIONS - Knowledge of product experimentation (A/B testing) - Knowledge of a scripting language (Python, R, etc.) Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. More ❯

Mathematical/Computer Science/Financial modelling/Actuarial Sciences/Finance academic background Extensive understanding in life insurance business concepts. Experience with scripting and analytical languages e.g. Python, R, C++, C, Moses, Prophet, AXIS Quantitative technical abilities. Practical experience using a range of tools to perform data analytics Curious mind interested in investigating the underlying drivers and patterns Working More ❯

Knowledge Systems Advisor page is loaded Knowledge Systems Advisor Apply locations London posted on Posted 9 Days Ago job requisition id R About us: Linklaters is a global law firm, with 31 offices in 21 countries worldwide. Linklaters is a people business. Being best in class in the eyes of our clients means that our people must be exceptional. We More ❯

Ensure insights delve deeper than surface metrics, embedding understanding of customer needs into strategies and market actions. Utilize diverse data sources, focusing on quantitative analysis (SQL/Python/R skills desirable), to connect research findings with internal data (e.g., order volume, retention) and market benchmarks. Translate complex data into clear, actionable stories for stakeholders to make informed, customer-focused More ❯

deliverables that are directly delivered to external customers, with a track record of handling high-visibility, customer-facing outputs. 1+ years experience using Python (or another programming language e.g. R, C++, Java) and with the scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.) Familiarity with renewable energy technologies, market design, and regulatory frameworks within European power markets, specifically GB, Germany More ❯

deliverables that are directly delivered to external customers, with a track record of handling high-visibility, customer-facing outputs. 1+ years experience using Python (or another programming language e.g. R, C++, Java) and with the scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.) Familiarity with renewable energy technologies, market design, and regulatory frameworks within European power markets, specifically GB, Germany More ❯