51 to 75 of 203 Permanent SAS Jobs

complex technology implementations. Familiarity with Electronic Data Capture (EDC) systems (e.g., Veeva, Medidata). Knowledge of data visualization tools (e.g., Tableau, Power BI). Knowledge in statistical software (e.g., SAS, R) for data analysis. Knowledge, and ideally experience, of working with risk-based approaches (e.g. delivering studies using reduced SDV etc) Please note PE Global cannot assist with visa More ❯

role involving data extraction, analysis, statistical modeling and communication experience - 7+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - Experience with statistical models e.g. multinomial logistic regression PREFERRED QUALIFICATIONS - -Experience processing, filtering, and presenting large quantities (100K to Millions of rows) of data - -Experience with More ❯

re curious, passionate, authentic and accountable. These are ourvaluesand influence everything we do. Preferred Qualifications Familiarity building scalable services in a microservices architecture. Familiarity with statistical tools such as SAS, or Python (with NumPy, SciPy, Pandas) Familiarity with public cloud platforms, such as AWS, Azure, or GCP. Strong testing automation experience, preferably in unit frameworks Diverse and Inclusive At … SAS, it's not about fitting into our culture - it's about adding to it. We believe our people make the difference. Our diverse workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers. Our commitment to diversity is a priority to our leadership, all the way up … to the top; and it's essential to who we are. To put it plainly: you are welcome here. Additional Information: SAS is an equal opportunity employer. All qualified applicants are considered for employment without regard to race, color, religion, gender, sexual orientation, gender identity, age, national origin, disability status, protected veteran status or any other characteristic protected by More ❯

of data quality Will be involved in all the topics related to Customer Data Business Analysis Work in collaboration with other technical teams to share data Data extraction with SAS Industrialize the process to run define periodicity Document the project (functional and technical part) Contribute to the achievement of the team objectives Qualifications Bachelor's or Master's degree … years of experience in Data Analysis (focus data quality & data governance) Understand data lifecycle and data usage Working in Agile environnement (Jira & Scrum) Good experience working with SQL Queries & SAS English Fluent & French or Dutch native More ❯

and stakeholders Helping shape model governance throughout the model lifecycle 🛠 What we're looking for: 2–3 years’ experience in model validation or development Proficiency in Python, R, SQL, SAS or similar tools Strong communication skills and analytical mindset Bonus: Familiarity with regulatory frameworks (EBA, CRR, PRA More ❯

and stakeholders Helping shape model governance throughout the model lifecycle 🛠 What we're looking for: 2–3 years’ experience in model validation or development Proficiency in Python, R, SQL, SAS or similar tools Strong communication skills and analytical mindset Bonus: Familiarity with regulatory frameworks (EBA, CRR, PRA More ❯

IFRS 9 and operational credit risk models. Prior experience leading projects or managing small teams is a plus. Strong programming and analytical skills using tools like Python, R, SQL, SAS, and Excel. A degree (or equivalent experience) in a numerical discipline. Solid knowledge of regulatory frameworks related to credit risk. Clear communicator with the ability to explain complex technical More ❯

IFRS 9 and operational credit risk models. Prior experience leading projects or managing small teams is a plus. Strong programming and analytical skills using tools like Python, R, SQL, SAS, and Excel. A degree (or equivalent experience) in a numerical discipline. Solid knowledge of regulatory frameworks related to credit risk. Clear communicator with the ability to explain complex technical 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 ❯

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 ❯

and pipelines, with 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 More ❯

and pipelines, with 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 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 ❯

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 ❯

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 ❯