Data Scientist | Senior Data Scientist, Australia - BCG X
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Locations: Sydney | Perth
Who We Are
Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.
To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.
We Are BCG X
We’re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world’s most complex problems. Leveraging BCG’s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.
What You'll Do
Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions.
As a Data Scientist | Senior Data Scientist, you'll be part of our rapidly growing team. You'll have the chance to apply data science methods and analytics to real-world business situations across a variety of industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions.
Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, scrappy, and communicative.
We are looking for talented individuals with a passion for data science, statistics, operations research and transforming organizations into AI-led innovative companies. Successful candidates possess the following:
Comfortable in a client-facing role with the ambition to lead teams
Likes to distill complex results or processes into simple, clear visualizations
Explain sophisticated data science concepts in an understandable manner
Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience)
Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data
Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients
Have strong project management skills
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What You'll Bring
- Preferably master’s degree or bachelor's in computer science, data science, mathematics, statistics, engineering, or a related field
- 2-6 years of relevant work experience in data science, machine learning, artificial intelligence, or big data
- Proficiency in Python and other programming languages and tools for data analysis and machine learning
- Experience in using machine learning techniques such as regression, classification, clustering, natural language processing, computer vision, etc.
- Familiarity with industry-specific skills such as retail analytics, healthcare analytics, financial analytics, etc.