151 to 175 of 783 SAS Jobs

for: A 2:1 degree or higher in a quantitative subject (Maths, Physics, Economics, etc.) Strong Excel skills (pivot tables, array formulas, nested functions) Some experience with R, Python, SAS or Stata is desirable Great attention to detail and clear written communication Analytical mindset with a genuine interest in problem solving Applicants must have full UK working rights. If More ❯

for: A 2:1 degree or higher in a quantitative subject (Maths, Physics, Economics, etc.) Strong Excel skills (pivot tables, array formulas, nested functions) Some experience with R, Python, SAS or Stata is desirable Great attention to detail and clear written communication Analytical mindset with a genuine interest in problem solving Applicants must have full UK working rights. If More ❯

design and implementation of workflow solutions that provide long-term scalability, reliability, and performance, and integration with reporting. Required Skills: Expertise and hands-on experience in advanced programming using: SAS/Python/pySpark and SQL for data mining; additional experience and knowledge of Big Data tools preferred. Excellent Python programming skills, including experience with relevant analytical and machine More ❯

design and implementation of workflow solutions that provide long-term scalability, reliability, and performance, and integration with reporting. Required Skills: Expertise and hands-on experience in advanced programming using: SAS/Python/pySpark and SQL for data mining; additional experience and knowledge of Big Data tools preferred. Excellent Python programming skills, including experience with relevant analytical and machine More ❯

subject i.e. Computer Science, Maths, Physics etc 2-4 years' experience working in a customer insight team in a large, data-rich industry Highly competent in SQL, experience in SAS desired Well developed problem-solving ability with a proven track record Accurate, persistent with excellent attention to detail Self-motivated and proactive individual with the drive to succeed Experience 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

PowerBi, Tableau, etc.), databases (SQL etc.) and optionally programming (Python, XML, JavaScript, or ETL frameworks). Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc.). Adept at queries, report writing, and presenting findings. Working proficiency in English & Dutch. Volve is proud to be an Equal Opportunity Employer . We do not discriminate 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 ❯

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 software is preferred Proficient at communicating results in a concise manner More ❯

Business, Economics, Statistics, or related fields. Confident in using PowerApps suite, Power BI, M365. SQL and database management for querying and handling structured data. Programming in Python, R, or SAS for analytics, automation, and statistical modelling. Business intelligence tools for reporting and dashboard creation. Why Join Us: Repsol values diversity and believes in equal opportunities. You'll grow with More ❯

Business, Economics, Statistics, or related fields. Confident in using PowerApps suite, Power BI, M365. SQL and database management for querying and handling structured data. Programming in Python, R, or SAS for analytics, automation, and statistical modelling. Business intelligence tools for reporting and dashboard creation. Why Join Us: Repsol values diversity and believes in equal opportunities. You'll grow with 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 software is preferred Proficient at communicating results in a concise manner More ❯

customer problems. 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 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 experience. Experience applying theoretical models in an applied environment. Bachelor's degree in More ❯

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 More ❯

of experience with Python and SQL for data analysis and manipulation Demonstrated experience in data cleaning, validation, and addressing data quality issues Experience developing econometric or predictive models using SAS or Python is a plus Prior experience in the CRE or CMBS industry is preferred This is a hybrid position, requiring time spent working in the London office Compensation More ❯

products and applications at 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 More ❯

financial systems Proficiency in Python and familiarity with AI/ML tools and platforms such as Azure, AWS, GCP, Databricks, MLFlow, Airflow and financial-specific platforms like Bloomberg Terminal, SAS, or MATLAB Experience with structured and unstructured financial data, including time-series analysis, market data and transactional data Ability to articulate complex AI risks and strategies to non-technical More ❯

financial systems Proficiency in Python and familiarity with AI/ML tools and platforms such as Azure, AWS, GCP, Databricks, MLFlow, Airflow and financial-specific platforms like Bloomberg Terminal, SAS, or MATLAB Experience with structured and unstructured financial data, including time-series analysis, market data and transactional data Ability to articulate complex AI risks and strategies to non-technical More ❯

financial systems Proficiency in Python and familiarity with AI/ML tools and platforms such as Azure, AWS, GCP, Databricks, MLFlow, Airflow and financial-specific platforms like Bloomberg Terminal, SAS, or MATLAB Experience with structured and unstructured financial data, including time-series analysis, market data and transactional data Ability to articulate complex AI risks and strategies to non-technical More ❯