1 to 25 of 71 SAS Jobs in London

methodology Dimensional modelling Data warehousing principles Enterprise data architecture concepts Modernisation & Migration Experience Experience delivering migrations from legacy platforms such as: Teradata Hadoop Oracle SAS Preferred Experience Financial Services or Banking sector experience. Experience working within regulated environments. Large-scale cloud transformation programmes. Agile delivery methodologies. Working alongside Data ...

infrastructure components, ETL/ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding- Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software- Experience working directly with business stakeholders to translate between data and business needs- Experience leading ...

sensitive contexts. Developing code for analysis: Strong experience designing and implementing robust, well-documented and reproducible coded solutions using Python, R or Base SAS, with the ability to set and promote coding standards and best practice. Delivering business impact through data: Demonstrate using data and analysis to deliver measurable ...

Title:Lead Statistical Programming Architect – Macro, Automation & AICompany:Ipsen Innovation (SAS)About Ipsen:Ipsen is a mid-sized global biopharmaceutical company with a focus on transformative medicines in three therapeutic areas: Oncology, Rare Disease and Neuroscience. Supported by nearly 100 years of development experience, with global hubs … operational efficiency, and innovation in clinical data analysis and reporting.WHAT - Main Responsibilities & Technical CompetenciesDevelops and/or coordinates the development of technical solutions (e.g. SAS macros, SAS template programs for datasets and TFLs, R functions/packages and tools, ADaM specification template) that support the automation of clinical ...

confidence to present complex findings clearly to both technical and non-technical audiences.Experience using SQL and at least one analytical language such as Python, SAS or R. Strong Excel skills are expected.Experience with data platforms such as Looker, Power BI, BigQuery or dbt is advantageous.Credit risk or financial services ...

business functions, processes, and overall business strategies.Intermediate knowledge of SQL.Intermediate programming skills in any high level language (e.g. of the following; Python, R, SAS) preferred.Ability to interact effectively with others across functions and levels within organisation.Ability to think strategically.Ability to consider others ideas seriously and accept feedback.Builds and maintains ...

models to remain vibrant and valuable.Advanced knowledge in quantitative models and Object-Oriented Programming in Python or other modern programming language (i.e., Java, C#, SAS, R).Connect to your business - Technology and TransformationDistinctive thinking, deep expertise, innovation and collaborative working. That’s what connects us. That’s what makes ...

practices within a MS SQL Server environment Familiarity with SSIS error handling, error propagation and email notification Exposure to statistical modeling software (MATLAB, R, SAS, SPSS, Python) and database tools (Amazon Web, SQL, MS Access, Excel PivotTables, MS SQL Server) a plus ...

Python’s Data Science stack; good knowledge of at least one big data framework (e.g., PySpark, Hive, Hadoop) is a plus. R, SPSS, and SAS are considered nice-to-haveStrong understanding of machine learning methods and experience applying them to complex, data-rich environmentsAbility to prototype and deploy statistical ...

data mining techniques to real-world problems with substantial data setsProgramming experience (focus on machine learning): R and/or Python, with SPSS, SAS, or similar tools considered nice-to-haveAbility to prototype statistical analysis and modeling algorithms and apply them to develop data-driven solutions in new domainsAbility ...

validation of AI agent performance against defined success criteria before production deployment. * Field Enablement: Share learnings, delivering technical deep-dives, and mentoring other SAs on agentic AI implementation patterns. A day in the life* Conducting data readiness assessments, identifying gaps in knowledge base coverage, and recommending data preparation steps ...

essential.While we’ll support you to build your expertise, you should have experience of using key technologies such as SQL/Teradata/SAS, and data warehouses, being comfortable using these tools for data wrangling.What we’d be keen to see in your work styleFirstly, you have a curious ...

need to see the following experience within your application to consider you for interview;A sound grasp of coding through Teradata/SQL/SAS, high data warehouse and Microsoft Office proficiency.Experience of working with large datasets in a similar analytical or data manipulation role and a good understanding ...

skills related to re-use, scalability, and troubleshooting.Experience with ION Trading solutionsKnowledge of major Rates Financial Products (e.g., EuroGovies/Swaps/GILTS/SAS etc.) and Broker/Customer Markets electronic trading flows.Experience of KDBExperience with modern software development practices such as Agile development, test-driven development ...

techniques, and parameters that affect their performance- Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)- Experience effectively communicating complex concepts through written and verbal communicationPreferred qualification - Experience in defining and creating benchmarks for assessing GenAI model performance ...

audiences.Project management and leadership skills.Ability to partner with entities we audit or other stakeholders and build great relationships.Good skills with modelling software such as SAS, SQL, MS Excel (including VBA), R.Ability to think creatively, generate innovative ideas, challenge the status quo and deliver effectively.DesirableKnowledge of current economic and market ...

credit risk analytics with exposure to credit bureau data. Strong experience in scorecard development and credit risk modelling. Proficiency in SQL and Python or SAS, with a preference for Python. Excellent communication and stakeholder management skills. Ability to translate complex analytical outputs into clear commercial recommendations. Experience delivering analytical ...

Analysis experience using a relational database (e.g. Oracle, Teradata etc.) along with an appropriate scripting or programming skill for data extraction such as SQL, SAS, R etcProven technical and team leadershipKnowledge of Commercial BankingWhat you'd get in return:Offering you both opportunity and profile - we'll provide ...

reinsurance, including actuarial concepts, risk assessment, and pricing methodologies.Deep expertise in data manipulation, statistical analysis, and predictive modelling using tools such as R, Python, SAS, or similar Experience.Effective written and spoken communication and senior stakeholder management.Excellent communication and presentation skillsAbility to communicate technical concepts to different audiences. Consulting ...

Python – candidates for whom Python experience is limited to occasional/hobby usage should not applyFamiliar with statistical coding packages and modelling in SAS, R or PythonWorking knowledge of Linux/Unix/Bash and SQL would be a plus.Equal Employment Opportunity and Affirmative Action StatementPIMCO recruits and hires ...

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 ...

business and technical contexts • Knowledge of the software development lifecycles – particularly Agile and Prototype approaches • Proficient in database concepts – MS SQL Server • Data Integration, SAS or Business Objects • Data configurationThis role suits someone from a software development or implementation background that is looking to take on serious responsibility. ...

final year students. Should desirably have knowledge of Artificial Intelligence modeling techniques (logit, GLM, time series, random forests, clustering, XGBoost), statistical programming languages (SAS, R, Python, Matlab), big data tools and platforms (Hadoop, Hive, etc.) and cloud platforms (AWS, Azure, GCP). Solid academic record. Strong computer skills. Postgraduate ...

customers who are new to AWS. We pair Solutions Architects with dedicated Account Executives across defined territories to create structured, proactive engagement models. Our SAs participate in a structured Greenfield Academy covering SA-AM engagement models, go-to-market strategy, discovery, and customer-facing best practices.Basic qualifications- Speak, write ...

approaches relevant to fraud servicesExperience in the manipulation and summarisation of large datasets for fraud analytics and reporting purposes, through the use of Python, SAS or equivalent analytic platformsCore consulting skillsStructured analysis and evidence-based recommendationsAbility to translate technical detail into clear client outcomesStrong report writing and stakeholder communicationAbility ...