Played
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Antony stumbled into his love of predictive modelling at the tender age of 10. He started his professional career in biostatistics and then made the switch to corporate Australia to work as Head of Analytics in banking before joining Seek; where today he is the Director of Global Matching and Analytics.
We speak about:
how analytical thinking adds value both in research and in corporate why you should read an intro to epidemiology textbook how analytics can take you to any field why this is the most exciting time to be in analytics his transition from research to corporate surprises and rewards of moving into corporate how to use the constraints you have for your benefit and how to love what you do the rewards of moving to corporate what proper use of data looks like how you can help organisations find the value in their data how to present and explain the need for experiments in business the importance of educating your organisation on data science how to focus on value in your organisation how to take people on a humble, thought-provoking and non-intimidating journey into the use of data science how to understand the “grey” in business and appreciate people’s journeys why you should get close to the sales people in your organisation thoughts on the very high demand of data scientists data science for social good and why analytics professionals are like Batman how to stand out in data science interviews and much, much more!Antony's textbook recommendations:
Statistical Models in Epidemiology
Statistical Methods in Medical Research, 4th Edition
Applied Logistic Regression - Wiley Series in Probability and Statistics
Case Control Studies : Design, Conduct, Analysis
Epidemiology Principles and methods
Thank you to our sponsors:
UNSW Master of Data Science Online: studyonline.unsw.edu.au
Datasource Services: datasourceservices.com.au or email Will Howard on [email protected]
Fyrebox - Make Your Own Quiz!
Antony is based in Melbourne, Australia
And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. Thank you so much for listening. Enjoy the show!
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In this episode we speak to Ben Pattison, Head of Customer Data Science at Medibank. We talk about getting buy-in from stakeholders, how to develop data scientists, the relationship with technology and business, how to define strategic priorities for your data science team and much more!
Ben has over 20 years experience, in the UK and Australia, as an analytical and strategic leader, passionate about driving business and customer value from data and analytics.
He has experience of leading large teams to design and integrate Credit Risk, Data Science, Decision Services and Analytical Marketing solutions into Personal, Consumer Finance, Insurance, Small Business and Wealth operations.
Show notes: https://www.datafuturology.com/podcast/2
Ben is based in: Melbourne, Australia -
As the data analytics space matures demands from the business for the products and services being generated has been increasing. There is a thirst and appetite for internal and external data and analytics outputs. However, we need visible platforms and the ability to orchestrate complex data pipelines to enable this growth and underpin the mechanism.
Cue the emergence of the engineer. We started with the data engineer and have welcomed more specialised roles including the Analytics Engineer, ML Engineer and AI Engineer. Heavily leveraging from the IT side, these roles have evolved and are becoming integral to the business.
How exactly is the engineer in the data analytics space evolving? How is this enabling reliable accessible, performant systems that are monitored appropriately? Can we look at team structures? Are there ways we can implement or better use the modern data stack?
As an industry we’re maturing, we’re further specialising and we’re reacting to the demands of the business. We’re seizing the opportunity to create more value for our organisations!
That’s what Felipe will discuss in this week’s podcast episode.
Enjoy the show.
Thanks to our sponsor Talent Insights Group!
Read podcast full summary here.
