Data Scientist

We are an established, globally active management consulting company with offices in Switzerland, Germany, Austria, UK, USA, Singapore, Hong Kong, the Philippines, Australia, Indonesia and India. We are a valued partner to many of the world‘s largest international financial services and insurance firms. We support our clients at all project management stages from the development of strategies and operational frameworks to the technical implementation and handover. Our expertise in business and technology combined with our methodic approach enable us to create sustainable added value for our client’s business. We are an established, globally active management consulting company with offices in Switzerland, Germany, Austria, UK, USA, Singapore, Hong Kong, the Philippines, Australia, Indonesia and India. We are a valued partner to many of the world‘s largest international financial services and insurance firms. We support our clients at all project management stages from the development of strategies and operational frameworks to the technical implementation and handover. Our expertise in business and technology combined with our methodic approach enable us to create sustainable added value for our client’s business. Job Requirements • BSc (or above) in Statistics, Mathematics, Computer Science, Engineering or relevant field • At least 3 years of working experience as a Data Scientist • Demonstrated ability to transform ways of work with particular interest in Financial Services (Banking & Insurance) sector • Has experience working with LLMs and other Gen AI techniques • Understanding of applied statistics, Mathematics and building supervised and unsupervised machine learning models • Applied knowledge in Python, R, Power BI, Scala and/or SQL and Jupyter notebook • Demonstrated ability to evaluate statistical models such as Machine Learning, Optimisation and Neutral Networks and other approaches to AI • Can facilitate Data Design Workshop Job Responsibilities • Identify data sources and automate collection processes • Process structured and unstructured data • Analyse information to discover trends and patters • Build predictive models and machine learning algorithms • Present information using data visualisation techniques • Propose solutions and strategies to business challenges including facilitating workshops for relevant stakeholders, preferably using agile software development practices Job Benefits • Attractive fringe benefits and salary structures in line with the market. • Can-do mentality and one-spirit culture. • Varied events and employee initiatives. #J-18808-Ljbffr