Flexibility, opportunity and incredible experiences are on offer through a career at Deloitte. We champion and support our talented people in achieving their career goals. Be a part of our journey, helping companies & communities to utilise their data and analytics resources to become more data and insight driven.
About the team
Do you want to leverage your analytical skills and ideas to help companies solve complex problems? This is an opportunity to harness emerging technologies and analytical techniques to address real world challenges and opportunities. You will be part of a close, collaborative team that identifies and builds solutions that are practical as well as visionary, and that make an impact that matters. As a Specialist Manager (Data Scientist) you will be an integral part of one of the fastest growing data science teams in Australia contributing to the growth of our capability while delivering solutions in areas such as Machine Learning, Real-Time Decisioning, AI and NLP.
What will your typical day look like?
As a Data Science Specialist Manager in our team you will:
Advise clients on how to solve their business problems with data, cloud, analytics and AI technologies
Lead the development of analytical solutions from design through to production
Perform “hands on” statistical and machine learning modelling, computations, and data engineering to deliver best-of-breed analytical solutions for clients’ business problems;
Coach technical teams to build and deploy analytical models and solutions, while developing specialised knowledge and skills
Support Deloitte’s eminence in the data science and analytics industry and community
Identify trends and innovation in deep learning, machine learning and related technologies to inform our future development and solutions for our clients
Enough about us let’s talk about you.
You are someone who has:
Strong communication and structured problem-solving skills
Strong track record in understanding business problems and implementing analytics solutions to solve them
Experienced in working and managing senior technical and business stakeholders
Supported business development activities with innovative thinking, technical input, reference architectures and effort estimates
Ability to lead technical teams made up of data engineers and data scientists to drive business outcomes
Data analysis experience using (one or more): Python, R, Julia, or similar tools
Database and programming languages experience and data manipulation and integration skills using a range of cloud-based SQL and NoSQL database technologies
Strong experience with statistical and machine learning modelling techniques
Strong experience in feature engineering and implementing highly performant model deployment pipelines for many types of machine learning
Strong experience in deployment and industralisation of analytical models including design and deployment using DevOps approach and toolsets (e.g. Azure DevOps, Jenkins, Ansible)
Experience leveraging either AWS, Azure or GCP platforms including their ML toolsets for building advanced analytical models
5 – 8 years relevant work experience with applying analytics or working with data in any industry
Minimum of BA/BSc degree in a quantitative degree including Applied Mathematics, Statistics, Epidemiology, Computer Science, Engineering, or related field is required. Advanced degree (MA/MSc, equivalent or higher) is an advantage
At Deloitte we create positively differentiated work experiences that enable our people to feel valued and achieve their full potential. We value difference and embrace people with diverse backgrounds and thinking styles. Knowing that people work best in different ways we are happy to discuss alternative arrangements if the working pattern you are looking for is not specifically indicated.
Sound like the sort of role for you? Apply now.
By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients and candidates with a consistent & exceptional Deloitte experience globally.