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 ❯
etc. experience - 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 PREFERRED QUALIFICATIONS - Experience with AWS solutions More ❯
etc. experience - 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 PREFERRED QUALIFICATIONS - Experience with AWS solutions More ❯
etc. experience - 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 PREFERRED QUALIFICATIONS - Experience with AWS solutions More ❯
Proficiency in regression, classification, and cluster analysis. Knowledge of data visualization/reporting software (e.g., Tableau). Advanced SQL, data mining skills, and analytical tools (R/Python/SAS). We are committed to an inclusive culture. If you need workplace accommodations during the application process, please visit this link . More ❯
etc. experience - 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 PREFERRED QUALIFICATIONS - Experience with AWS solutions 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 ❯
visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience writing complex SQL queries - 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 PREFERRED QUALIFICATIONS - Experience with AWS solutions More ❯
NoSQL etc. Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modelling, 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 modelling Experience with SQL Experience in the More ❯
of Credit, Market, and Liquidity Risk methodologies, along with experience in regulatory frameworks such as Capital Requirements Directive III, IV, or V. Strong technical skills in data analytics tools (SAS, SQL, Python) and visualisation tools (Power BI, Tableau, Qlik). Experience with Agile methodologies, IT controls, and software development lifecycles. Exceptional communication skills with the ability to engage stakeholders More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Adecco
of Credit, Market, and Liquidity Risk methodologies, along with experience in regulatory frameworks such as Capital Requirements Directive III, IV, or V. Strong technical skills in data analytics tools (SAS, SQL, Python) and visualisation tools (Power BI, Tableau, Qlik). Experience with Agile methodologies, IT controls, and software development lifecycles. Exceptional communication skills with the ability to engage stakeholders 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 ❯
Wandsworth, Greater London, UK Hybrid / WFH Options
Supermercados Guanabara
teams. Desired Skills Python expertise, especially with data libraries like Pandas, NumPy, and Scikit-learn. Familiarity with ETL tools and data pipeline orchestration. Exposure to data science tools like SAS or Posit. Experience in performance-critical environments, particularly with large-scale data platforms. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job More ❯
use of ML techniques BASIC QUALIFICATIONS - 5+ years of data scientist experience - Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab) - Experience with statistical models e.g. multinomial logistic regression - Experience in data applications using large scale distributed systems (e.g., EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive) - Experience working 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 ❯
impactful decisions in a thriving financial setting. We are looking for a skilled analyst to enhance model risk management through data analysis and quantitative methods. Bring your expertise in SAS, SQL, and Python to design, maintain, and support innovative risk management solutions while collaborating with global teams. Join us in shaping the future of financial risk! Risk Analytics Library More ❯
SAS Developer Rate - £450 per day via umbrella Duration - 6/12 months initial Location - South London twice a month on site We're working with a leading financial services client undergoing a significant data transformation programme. They're looking for an experienced SAS Developer to get hands-on with moving datasets, analysing reports, and supporting the re … flows and policies. What you'll be doing: Supporting the migration and transformation of datasets across platforms Investigating and optimising data flows, processes, and legacy reporting structures Interrogating existing SAS code, reviewing policies and suggesting improvements Working closely with BA, architecture and infrastructure teams to align on data movement strategy Tech you'll need: SAS v9.4 SAS Enterprise Guide (EG) Base SAS Strong SQL skills Experience working within regulated/financial services environments preferred This is a great opportunity to be part of a large-scale transformation and make an immediate impact on business-critical data operations. Please apply in the link available if suitable. Reasonable Adjustments: Respect and equality are core values to us. More ❯
You have experience with data analysis tools and techniques. You can effectively apply this knowledge to deliver analytical solutions that deliver business benefits. Examples of such tools include SPSS, SAS, SQL, R, and Python To help you succeed in this role, the following desirable criteria may be considered in the event of a tie between candidates: IT and mathematics More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
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 ❯
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 ❯
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 ❯
MS office. - Experience working on root cause analysis, corrective and preventive actions for solving customer problems and prevention of defects. PREFERRED QUALIFICATIONS - Knowledge of analytics & statistical tools such as SAS, PowerBI, SQL & ETL DW concepts - Knowledge of visualization tools such as Tableau, Datazen, SSRS - Experience back office operations, escalation management and troubleshooting environments - Experience working in e-commerce/ 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 ❯
Proven track record of driving execution , ensuring projects are delivered at scale with impact Strong communication, collaboration, and documentation skills Experience with supporting a mixed operational model which includes SAS/managed services vs. on-prem model for B2B mid-sized to large global client organizations Support infrastructure using Linux/Kubernetes based implementations, with basic understanding of devops More ❯