Associate Data Modeller

Job description

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create digital marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them to save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data and to innovate. A FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 23,300 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com . Job Description What you will do: You will report into the Data Modeller - Manager. Perform the extraction, formulation and manipulation of data to create the structured samples necessary to address requirements. Follow best practice procedures throughout the analytics solution delivery process. Implement appropriate quality control procedures for all modelling and analysis reporting and scoring. Reduce error rate and re-run frequency to meet both the analytical & business objective. Perform audits to help implement analytical solutions and other decision tools. Collaborate with internal and external clients to determine the appropriate performance measures and statistical metrics to be applied during the analysis project Coordinate data receipt and delivery with internal and external clients Plan, organise and complete own workload and oversee the workload of any Junior Data Modellers on the project, to meet project commitments within agreed schedules. Identify how the results can be verified and produce the analysis required to demonstrate this. Qualifications What you will bring: University degree with a high numerical content (such as Mathematics, Statistics, Computer Science, Economics) 2+ years of experience in the field of data analytics Knowledge in statistical software packages and other related technologies Fluent English – written and spoken Working knowledge in Python – preferably both Python's own syntax but also some of its main analytical packages (such as Pandas, Numpy, scikit-learn) Understanding of how and when to apply analytical approaches including regression analysis and machine learning Grasp of probability, statistical inference, optimization algorithms, linear algebra, and calculus Experience with BI Tools such as Tableau and Power BI will be considered as an advantage Additional Information What you will get: Personal Development - career pathway for professional growth supported by learning and development programs and unlimited access to online educational training courses, learning materials & book. Work environment - excellent work conditions with friendly environment, recognized team spirit, and fun and quality recreation time. Social benefit package including life insurance, food vouchers, additional health insurance, monthly flex allowance and internet coverage, corporate discounts, marriage and childbirth / adoption allowance, Multisport card, Sharesave plan, Employee assistance program, а birthday gift and many other benefits! Work-life balance - 25 days paid vacation, 1 additional day off for your birthday and extra 3 paid days for participation in Social responsibility event. Opportunity for Flexible working hours and Home Office. Experian is an Equal opportunity employer. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. #LI-Hybrid Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here