1 to 25 of 67 SAS Jobs in London

socials in each region to encourage engagement and network building. Job Description We are looking for looking for experienced and dynamic Consultants to join our existing team. As a SAS Data Engineering Consultant, you will engage with our clients daily, working to understand their challenges and to deliver solutions. You will be based from one of our regional offices … disciplines: Data Management, Data Engineering, Data Warehousing, Data Modelling, Data Quality, Data Integration, Data Analytics, Data Visualisation, Data Science and Business Intelligence. Delivery experience using the following core technology: SAS (SAS EG, SAS DI, SAS Viya). An ability to write complex SQL queries. Project experience using one or more of the following technologies: Tableau, Python More ❯

NoSQL etc. - 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 - Experience with SQL - Experience in the More ❯

NoSQL etc. - 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 - Experience with SQL - Experience in the More ❯

Research, Statistics, or Econometrics A relevant Master’s degree is a strong advantage Advanced Microsoft Excel skills (essential) Problem solving skills Experience managing large datasets using tools such as SAS, Stata, R, or Python Strong communication skills and attention to detail Comfortable working directly with clients and partners to obtain, validate, and interpret data If this sounds like the More ❯

Research, Statistics, or Econometrics A relevant Master’s degree is a strong advantage Advanced Microsoft Excel skills (essential) Problem solving skills Experience managing large datasets using tools such as SAS, Stata, R, or Python Strong communication skills and attention to detail Comfortable working directly with clients and partners to obtain, validate, and interpret data If this sounds like the More ❯

are directly applied to the apprentice's role, and maximises the time used as part of off-the-job training. Microsoft Office Specialist: Excel Associate. Data and Visualisation using SAS Data Analysis and Statistics SQL and Data Modelling Exploring Data Science using Python and R Data Challenge workshop Online development sessions (Optional) An apprenticeship has to be relevant to More ❯

system tuning from inception to completion Hands-on understanding on minimum of one TM systems across rule designs, segment designs, technical design and processes (e.g NICE Actimize, Oracle Mantas, SAS, FiServ) Good understanding on payment flows and data challenges Good SQL, Excel and Data Analysis on high volume of transaction data Personal Skills: Confidence to credibility with clients from More ❯

EXPERIENCE Proven experience in developing PD and LGD models under IFRS 9. Strong understanding of credit risk across mortgage portfolios. Prior line management or mentoring experience. Advanced proficiency in SAS (knowledge of Python or R is also beneficial). Excellent communication and stakeholder management skills. Experience working in a UK banking or financial services environment. Degree in a numerate More ❯

modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar and Emblem software is preferred Proficient at communicating results in a More ❯

Perform data analysis 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. More ❯

direction. BASIC QUALIFICATIONS 2+ years of data scientist experience and 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 More ❯

validating survey measures and/or assessments and applying quantitative methods to business and industry settings Proficiency in experimental and quasi-experimental methods Experience with data analysis package (R, SAS, Matlab, SPSS, etc.) Demonstrated mastery of statistical modeling and hypothesis testing Strong skill with R, Python, or similar languages Proficiency with SQL and data visualization tools (e.g., Tableau) Experience More ❯

and system tuning from inception to completion Hands-on understanding on minimum of one TM systems, rule designs, segment designs, technical design and processes (e.g NICE Actimize, Oracle Mantas, SAS, FiServ) Good Excel, SQL and Data Analysis on high volume of transaction data Personal skills/values Confidence to credibility with clients from project inception Self-motivation individual willing More ❯

multiple tasks simultaneously under direction and prioritise workload. Ability to work independently in a group setting; ability to adjust to changing priorities. Maintain a professional and positive attitude. Desirable SAS Experience. SQL Experience. Benefits Competitive remuneration package including benchmarked salaries. Staff Annual Bonus Plans and Annual Salary Review. Generous employer pension contribution of 6%. 25 days annual leave More ❯

model review practices Validating wider risk models covering AI, machine learning, reporting, and operational risk models Working with senior leadership to present findings of validation exercises. Using tools like SAS, SQL, R and Python daily. Your skills and experience To be successful as a Model Validation Manager , you will need: Strong experience with SQL and python Strong experience with More ❯

both technical and non-technical audiences, including senior leadership. YOUR SKILLS AND EXPERIENCE Experience with IFRS9 or IRB models Experience developing or validating regulatory models Proficiency in Python, with SAS and R being desirable. Numerate degree from a Russel Group university. Excellent written and verbal communication skills. THE BENEFITS Up to £60,000. Generous equity/shares within the More ❯

data science experience Machine learning SQL Msc or PhD preferred in either of the following areas, statistics, physics, mathematics, Computer Science or Engineering Creating customer segmentation models knowledge of SAS Data Mining R/Python Proficient user MS Office This is a superb career opportunity in the Data Science space .This Company invest a tremendous amount of time and More ❯

and data analysis/data science, with hands-on experience building and enhancing complex models from scratch Proficiency with statistical tools and programming languages such as R, Python, or SAS Experience leading complex model updates - both operational enhancements and full development projects - with the ability to clearly communicate outcomes to stakeholders Strong problem-solving skills, able to design creative More ❯

and data analysis/data science, with hands-on experience building and enhancing complex models from scratch Proficiency with statistical tools and programming languages such as R, Python, or SAS Experience leading complex model updates - both operational enhancements and full development projects - with the ability to clearly communicate outcomes to stakeholders Strong problem-solving skills, able to design creative More ❯

and data analysis/data science, with hands-on experience building and enhancing complex models from scratch Proficiency with statistical tools and programming languages such as R, Python, or SAS Experience leading complex model updates - both operational enhancements and full development projects - with the ability to clearly communicate outcomes to stakeholders Strong problem-solving skills, able to design creative More ❯

Basel III). Hands-on with model validation, and risk frameworks. Proficient in risk reporting, stakeholder engagement, and translating complex issues for varying audiences. Technical fluency: Python, R (or SAS), and SQL. Confident, collaborative communicator who challenges constructively and drives solutions. Ready to make an impact? If you’re an experienced credit risk professional with the ambition to expand More ❯

Basel III). Hands-on with model validation, and risk frameworks. Proficient in risk reporting, stakeholder engagement, and translating complex issues for varying audiences. Technical fluency: Python, R (or SAS), and SQL. Confident, collaborative communicator who challenges constructively and drives solutions. Ready to make an impact? If you’re an experienced credit risk professional with the ambition to expand More ❯

analytics & personalisation/testing tools (e.g. Google Analytics, Adobe Analytics & Target, Optimizely) Social analytics tools (e.g. Sysomos, Radian 6) Data visualisation tools (e.g. Qlikview, Tableau) Data analysis tools (e.g. SAS, SQL, SPSS, Faststats) Campaign Management tools (e.g. Adobe Campaign) We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we've More ❯

and distributions (direct, intermediary, aggregators) Experience of using statistics to explore and validate data, extract and manipulate large datasets for analysis Experienced in the use of programming language (e.g. SAS) and/or statistical packages e.g. actuarial pricing software Experience in SOME of the following predictive modelling techniques e.g. Logistic Regression, Log-Gamma GLMs, GBMs, Elastic Net GLMs, GAMs More ❯

value propositions and business models to remain vibrant and valuable. Advanced knowledge in quantitative models and Object-Oriented Programming in Python or other modern programming language (i.e., Java, C#, SAS, R). Proficiency in business modelling and formulation of comprehensive business cases is advantageous. Connect to your business - Technology and Transformation Distinctive thinking, deep expertise, innovation and collaborative working. More ❯