Grace (Mengting) Wang
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Grace (Mengting) Wang Email & Phone Number

Senior Machine Learning Engineer at IAG
Location: Greater Melbourne Area, Australia 4 work roles 2 schools
1 work email found @betfair.com.au LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email g****@betfair.com.au
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
IAG
Role
Senior Machine Learning Engineer
Location
Greater Melbourne Area, Australia
Company size

Who is Grace (Mengting) Wang? Overview

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Quick answer

Grace (Mengting) Wang is listed as Senior Machine Learning Engineer at IAG, a with 12404 employees, based in Greater Melbourne Area, Australia. AeroLeads shows a work email signal at betfair.com.au and a matched LinkedIn profile for Grace (Mengting) Wang.

Grace (Mengting) Wang previously worked as Data Scientist / ML Ops Engineer at Betfair Australia and Data Scientist at National Australia Bank. Grace (Mengting) Wang holds Master Of Science, Statistics, Graduate With Merit from Imperial College London.

Company email context

Email format at IAG

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gwang@betfair.com.au
76% confidence

AeroLeads found 1 current-domain work email signal for Grace (Mengting) Wang. Compare company email patterns before reaching out.

Profile bio

About Grace (Mengting) Wang

Full-stack Data Scientist with 5+ years of experience delivering end-to-end machine learning solutions. Skilled in statistical modelling, ETL, NLP, data visualization, and cloud technologies (AWS, Docker). Quick learner with a track record of successfully deploying and monitoring models in production environments. Passionate about leveraging cutting-edge data mining techniques to solve complex business problems.

Listed skills include Leadership, R, Data Warehousing, Public Speaking, and 18 others.

Current workplace

Grace (Mengting) Wang's current company

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IAG
Iag
Senior Machine Learning Engineer
Melbourne, VIC, AU
Website
Employees
12404
AeroLeads page
4 roles

Grace (Mengting) Wang work experience

A career timeline built from the work history available for this profile.

Senior Machine Learning Engineer

Iag

Melbourne, Vic, Au

Data Scientist / Ml Ops Engineer

Current

• Developing and deploying marketing models hosted on AWS to optimize the cost of EDMs.• Migrating, implementing and maintaining different varieties of R and Python model on different platforms. • Improving and managing models' infrastructure including optimization of costs and performance.• Building up Best Practices such as monitoring and documentation.• Developing multiple tools to improve and standardize data science model development, increasing the efficiency about data transformation between different cloud platforms.• Setting up agile development working flow.

Nov 2021 - Present

Data Scientist

Melbourne, Australia

• Developing and deploying end-to-end bespoke machine learning solutions to suit different business problems across the bank.• Uplifting internal platform capabilities and develop internal tools to enhance internal data science best practice.• Engaging with different stakeholders to initialise the project scope and end to end project delivery to different stakeholders.• Building up various NLP capabilities including masking some sensitive information and topic modelling.• Migrating and maintaining current live models on the internal cloud.

May 2019 - Oct 2021

Data Mining Analyst/ Business Intelligence Engineer

Responsibilities:• Assisted with product manager to realise development of monthly updating Ctrip App, implementing offline and online A/B testing to analyze App performance.• Built up predictive models such as decision trees, linear regression to predict customers’ activities with different programming language such as R, Python and Scala which is customized to different platform, using features extracting from company-built warehouse based on Hive.• Personalised search and list page for each visitor such as appearance of personal buttons based on predictive models with R on Spark or SQL. • Cooperated with software engineers to realize functions on Ctrip App, explaining the algorithm behind the functions.• Reported to and assisted with marketing team to monitor website traffic, profit and loss analysis for coupon distribution, accurate marketing campaign delivery to targeted audience.• Defined and delivered regular reports of KPIs with ETL process using SQL and Excel.Achievements:• Successfully built up 300 million consumers’ profile including predictive tags and calculated tags.• Built up automatic reports of KPIs for marketing team and managers.• Decreased 15% unnecessary budget spent on marketing campaign.• Increased 10% click-on EDM through accurate delivery.

Nov 2015 - Dec 2016
Team & coworkers

Colleagues at IAG

Other employees you can reach at iag.com.au. View company contacts for 12404 employees →

2 education records

Grace (Mengting) Wang education

Bachelor Of Science (Bsc), Financial Mathematics, First Class

Activities and Societies: Helpx

FAQ

Frequently asked questions about Grace (Mengting) Wang

Quick answers generated from the profile data available on this page.

What company does Grace (Mengting) Wang work for?

Grace (Mengting) Wang works for IAG.

What is Grace (Mengting) Wang's role at IAG?

Grace (Mengting) Wang is listed as Senior Machine Learning Engineer at IAG.

What is Grace (Mengting) Wang's email address?

AeroLeads has found 1 work email signal at @betfair.com.au for Grace (Mengting) Wang at IAG.

Where is Grace (Mengting) Wang based?

Grace (Mengting) Wang is based in Greater Melbourne Area, Australia while working with IAG.

What companies has Grace (Mengting) Wang worked for?

Grace (Mengting) Wang has worked for Iag, Betfair Australia, National Australia Bank, and Ctrip.Com.

Who are Grace (Mengting) Wang's colleagues at IAG?

Grace (Mengting) Wang's colleagues at IAG include Hemant Jaswal, Carla Bowman, Jonathan Lynn, Richard Bale, and Vishal Thukral.

How can I contact Grace (Mengting) Wang?

You can use AeroLeads to view verified contact signals for Grace (Mengting) Wang at IAG, including work email, phone, and LinkedIn data when available.

What schools did Grace (Mengting) Wang attend?

Grace (Mengting) Wang holds Master Of Science, Statistics, Graduate With Merit from Imperial College London.

What skills is Grace (Mengting) Wang known for?

Grace (Mengting) Wang is listed with skills including Leadership, R, Data Warehousing, Public Speaking, Matlab, Teaching, Data Analysis, and Agile Methodologies.

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