Associate Director - Data Scientist, Optimisation

  • Competitive
  • Melbourne, Victoria, Australie
  • CDI, Plein-temps
  • KPMG Australia
  • 12 déc. 17

See job description for details

KPMG is one of the most trusted and respected global professional services firms. Through depth of expertise, clarity of insight and strength of purpose we help our clients solve complex challenges, steer change, strengthen, transition and grow. We are looking for talented people who share our purpose of inspiring confidence and empowering change for our clients, our people and our communities. This is an opportunity to work on the most exciting global trends in the meat sector.

You will work in a rapidly growing part of KPMG's Management Consulting Practice with projects that span multiple locations and industry sectors.

Your new role:
  • Apply various discrete optimization techniques to generate solutions to large-scale optimization problems for KPMG clients, such as resource planning, scheduling, facility location, and network optimization; techniques may include integer programming including commercial solvers, event simulation, dynamic programming, local heuristics, meta heuristics, and more
  • Develop predictive models using machine learning, natural language, and statistical analysis methods such as classification, time-series analysis, regression, statistical inference, and validation tools; perform exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data, and identify patterns
  • Work directly with KPMG clients and stakeholders to present and explain the key techniques and major results generated using non-technical language; understand client feedback and be able to accommodate it into model through programming
  • Come up with innovative, repeatable, business use cases for real world optimization techniques, and quickly develop prototypes to test these use cases
  • Utilize a diverse array of technologies and tools as needed, to deliver insights, such as R, SAS, Python, Tableau.
About you:
  • Qualifications in Operations Research, Computer Science, Applied Mathematics, Industrial Engineering, or related field from an accredited college or university;
  • Experience utilizing a strong mathematical background with advanced knowledge in one or more of the following fields: discrete optimization, integer programming (including commercial optimization solvers), discrete-event simulation, dynamic programming, local search heuristics, genetic algorithms, or other meta heuristics;
  • Proficiency in data analysis packages (e.g. R, SAS, Matlab), programming languages (e.g. Java, Python, Ruby) as well as the ability to implement, maintain, debug and test; experience in commercial optimization solvers (e.g. CPLEX, Gurobi, Xpress) preferred;
  • Experience in software development, ideally as part of a team using version control systems such as Git or SVN.
What we offer you

We offer rewarding careers for outstanding professionals, ongoing learning and development opportunities, a collaborative and inclusive culture, and flexible and agile work practices that focus on our people's wellbeing to drive innovation and entrepreneurship. We also believe that our business plays a distinct and vital role in helping solve important social and environmental issues; and use our unique skills and expertise to help create positive and lasting impacts for our communities.

We believe diversity of thought, background and experience strengthens relationships and delivers meaningful benefits to our people, our clients and communities. We are consistently recognised as an employer of choice for women, and our inclusive culture promotes the development of our people irrespective of gender, ethnicity, generation, flexible work status, family circumstances, sexual orientation or disability.

This is an exciting opportunity to be a part of KPMG and its ongoing success. So if you want a career where you can use your deep expertise to deliver real results, talk to us first.

Advertised: 23 Nov 2017 AUS Eastern Daylight Time
Applications close: 15 Dec 2017 AUS Eastern Daylight Time