and service delivery within a public service environment. Working knowledge of statistical software packages (e.g. Alteryx, PowerBI) and underlying program language tools such as R, Python and SQL. Expertise concerning the underlying principles and techniques of data analytics within the context of counter fraud, for example rule-based analytics, machine more »
and keep abreast of external best practice globally and apply it as appropriate within Experian. More about you Experience in Oracle SQL, Python and R, exposure to data science & statistical packages would all be beneficial Strong business acumen and strategic thinking. Experience working in a Global Human Resources, Finance, Analytics more »
the UK education system IT Literacy Essential: Competent user of word processor (Word), spreadsheets (Excel), and Python or user of SPSS and/or R (and a willingness to learn new programs) Desirable: Experience of IRT/Rasch software (eg WINSTEPS) Role Summary As agreed and directed by the Senior more »
is currently hiring an experienced consultant with strong capabilities in SDS coding, Experian PowerCurve and experience working with analytical tools such as SQL, SAS, R or Python. This is a 12 month contract opportunity paying up to £650 per day Inside IR 35 to be based in either London, Chatham … expert level Experience on working on decisioning systems for UK mortgages Strong coding knowledge and experience working with analytical tools such as SQL, SAS, R or Python) Knowledge of the consumer credit sectors and products, ideally residential and Buy to Let mortgages with a core background in risk and/ more »
currently hiring an experienced consultant with strong capabilities in SDS coding, Experian Power-Curve and experience working with analytical tools such as SQL, SAS, R or Python. This is a 12 month contract opportunity paying up to £650 per day Inside IR 35 to be based in London 3 x … expert level Experience on working on decisioning systems for UK mortgages Strong coding knowledge and experience working with analytical tools such as SQL, SAS, R or Python) Knowledge of the consumer credit sectors and products, ideally residential and Buy to Let mortgages with a core background in risk and/ more »
