Data scientist - Machine Learning

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Requirements

• Solid academic background, including at minimum a master degree in Data Science, Business Analytics, Statistics, Mathematics, Econometrics, Engineering, Operational Research, Computer Science, or other related field with strong quantitative focus
• Previous working or related research experience (evidenced by PhD and/or relevant publications, awards, or completed project credentials) preferably in a commercial/industrial context
• Hands on development experience with Python or related statistical software package including programming skills in building and deploying machine learning models (supervised & unsupervised, time series) and mathematical programming algorithms in supervised, unsupervised and semi-supervised learning techniques
• Good understanding of machine learning, predictive modeling and optimization algorithms
• Good understanding of data modeling and evaluation
• Experience in designing, building, testing and validating highly customized statistical models using diverse statistical and other quantitative techniques
• Exposure in scalable big data based advanced analytics software will be considered
• Strong written and verbal communication, presentation, client service and technical writing skills in English for both technical and business audiences
• Strong analytical, problem solving and critical thinking skills
• Ability to work under tight timelines and parallel project deliveries
• Ability/flexibility to travel and work abroad for international projects

Benefits

• Competitive rewards package
• Cutting-edge technological equipment
• Ticket restaurant vouchers
• Private health and life insurance scheme
• Income protection
• Exclusive EY benefits club card that provides a wide range of discounts, offers and promotions
• Flexible working arrangement (hybrid model)
• Summer short Fridays
• EY Day Off
• Volunteerism and sustainable practices
• Opportunities for positive societal impact