126 to 150 of 704 SAS Jobs in England

underwriting and technical modelling teams. ✔️ Personal Lines Pricing experience (Motor, Home or Pet) ✔️ Strong skills in predictive modelling – e.g., GLMs, GBMs, GAMs, Random Forests ✔️ Proficiency in R, Python, PySpark, SAS or SQL ✔️ Experience with Radar and/or Emblem ✔️ A numerate degree (e.g., Maths, Stats, Actuarial, Engineering) ✔️ Strong communication and stakeholder management skills They’re a collaborative, data-driven More ❯

underwriting and technical modelling teams. ✔️ Personal Lines Pricing experience (Motor, Home or Pet) ✔️ Strong skills in predictive modelling – e.g., GLMs, GBMs, GAMs, Random Forests ✔️ Proficiency in R, Python, PySpark, SAS or SQL ✔️ Experience with Radar and/or Emblem ✔️ A numerate degree (e.g., Maths, Stats, Actuarial, Engineering) ✔️ Strong communication and stakeholder management skills They’re a collaborative, data-driven More ❯

experience building credit scorecards from scratch Advanced knowledge of logistic regression and credit modelling techniques Experience with model monitoring and portfolio performance analysis Strong technical skills in Python, SQL, SAS and R Strong communication and stakeholder engagement skills BENEFITS Private health insurance Employee assistance programme (EAP) Interest-free employee loan scheme HOW TO APPLY To apply, please send your More ❯

techniques. Knowledge of other data platforms such as Microsoft Customer Insights, Microsoft Customer Data, Microsoft Fabric, social marketing insights, and email marketing analytics would be beneficial. Experience in SQL, SAS, Python, or R programming. Knowledge of web analytics tools would be helpful but not essential. Some exposure to AI tools such as CoPilot. Benefits include: 2 days office based More ❯

of digital marketing and data analytics • Strong attention to details & analytical personality • Advanced Microsoft Office skills (Excel, PPT), bonus for knowledge of Power BI and affinity for SPSS, R, SAS • Team player that takes responsibility for the tasks assigned • Structured and self-organized combined with open and strong communication skills and confidence to present to clients & internal teams • Fluent More ❯

of digital marketing and data analytics • Strong attention to details & analytical personality • Advanced Microsoft Office skills (Excel, PPT), bonus for knowledge of Power BI and affinity for SPSS, R, SAS • Team player that takes responsibility for the tasks assigned • Structured and self-organized combined with open and strong communication skills and confidence to present to clients & internal teams • Fluent More ❯

Tibco Spotfire or other equivalent visualisation development tools (Power BI or Tableau). Knowledge of SDTM data structure is essential. In depth knowledge of Python (Pandas and PySpark), R, SAS, or other object-oriented programming languages. Experience within life sciences industry is essential. Ability to work independently on assignments of moderate to high complexity without support. For a confidential More ❯

Solid understanding of digital payment systems, online banking platforms, and relevant fraud typologies (e.g., account takeover, APP fraud, card fraud). Familiarity with fraud monitoring tools (e.g., Actimize, Feedzai, SAS, ThreatMetrix) and fraud case management systems. Strong analytical, decision-making, and problem-solving skills. Experience working with cross-functional teams in a fast-paced, tech-driven environment. Excellent communication 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 ❯

clients on regulatory trends and the strategic impact of model changes on capital requirements. REQUIREMENTS Strong proficiency in statistical modeling techniques, with experience in tools such as R, Python, SAS, or SQL. A degree in a quantitative field such as mathematics, statistics, economics, or finance; a postgraduate qualification is a plus. Please apply below! Seniority level Seniority level Mid More ❯

Forensics, EDRM); Big Data and Data Analytics- (MI/BI/CI);InfoSec and Cyber Crime; Audit; Accountancy and Finance; FinTech (Payments etc.);Risk - (Credit, Regulatory, Liquidity, Market, Analysts-SAS, SPSS etc.);Compliance/Corporate Governance ;IT- (full SDLC- BA’s PM’s , Architects, Developers etc.); Brimstone Consulting acts as an employment agency (permanent) and as an employment business More ❯

Forensics, EDRM); Big Data and Data Analytics- (MI/BI/CI);InfoSec and Cyber Crime; Audit; Accountancy and Finance; FinTech (Payments etc.);Risk - (Credit, Regulatory, Liquidity, Market, Analysts-SAS, SPSS etc.);Compliance/Corporate Governance ;IT- (full SDLC- BA’s PM’s , Architects, Developers etc.); Brimstone Consulting acts as an employment agency (permanent) and as an employment business 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 ❯

processing, and analyzing data; complete qualitative research; preparing client-deliverable work product. Responsibilities include: Assisting with the analysis of complex economic data using a variety of tools, including STATA, SAS, R, Python, and other coding languages. Producing tables, graphs, and other visual representations of analytical results. Completing qualitative research assignments related to economic and industry-specific issues relevant to 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 ❯

leadership Proficiency in predictive modelling techniques such as Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets, and Clustering Strong skills in R, Python, PySpark, SAS, or SQL Proven ability to interpret performance data and make commercial recommendations Experience with WTW's Radar and Emblem software is preferred Excellent communication skills, with the ability to 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯