5 of 5 SAS Jobs in West Yorkshire

Data Engineering role, ideally in the bank sector Strong passion for data and software engineering with a problem-solving mindset Proficiency in technologies such as dbt, SQL, Python, Java, SAS, or other open-source analytics tools Ability to translate complex business requirements into technical solutions Excellent communication and interpersonal skills; able to explain technical concepts to non-technical stakeholders More ❯

passion for data. It's a bonus if you have but not essential • Experience in building trusted relationships with stakeholders. • Expertise in the use of statistical analysis software (e.g. SAS/SQL, Python, R) as well as MS Office.• An understanding of statistical modelling techniques such as hypothesis testing, probability distributions and regression. Red Hot Rewards • Generous holidays - 38.5 More ❯

reusable outputs and figures in R that can be integrated into Shiny apps by the Data Science team. Provide technical leadership and guidance on R-based solutions, while maintaining SAS proficiency. Daily Interactions: Communicate with study team members and client contacts. Share updates internally and in client meetings. Collaborate with the Veramed team to ensure timely, high-quality deliverables. More ❯

banking sectors. Apply statistical techniques (e.g., regression, machine learning, decision trees, CHAID analysis, and cluster analysis) to address business challenges. Utilise data mining tools and programming languages such as SAS, SQL, and Python to prepare data, perform analyses, and develop solutions for internal and external clients. Present proposals, methodologies, and results to stakeholders, explaining complex statistical techniques to diverse … regulatory environment in which clients operate. Collaborate closely with internal Sales and Strategy Consulting teams to identify and shape broader opportunities and solutions. YOUR SKILLS AND EXPERIENCE Experience with SAS, SQL, or Python in a credit risk environment is required. Strong academic background in a STEM field. Experience with credit bureau data needed. 6 + years of experience in More ❯

collections scorecards Leading projects end-to-end: from data extraction and segmentation through to validation and presentation Working closely with clients to understand business objectives and risk appetite Using SAS or Python to develop models that drive credit decisioning and policy Supporting internal product innovation and next-gen modelling initiatives REQUIREMENTS Proven experience building risk models (application/behavioural …/collections) - ideally in a bureau, consultancy, or lender Strong technical toolkit: SAS, SQL, Python, or R Ability to manage client relationships and present technical content to non-technical stakeholders HOW TO APPLY Please apply below or send CV More ❯