Samuel Jarvis
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Samuel Jarvis Email & Phone Number

Machine Learning Engineer at WooliesX at WooliesX
Location: Greater Sydney Area, Australia 8 work roles 2 schools
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✓ Verified Jul 2026 3 data sources Profile completeness 86%

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Current company
Role
Machine Learning Engineer at WooliesX
Location
Greater Sydney Area, Australia
Company size

Who is Samuel Jarvis? Overview

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Quick answer

Samuel Jarvis is listed as Machine Learning Engineer at WooliesX at WooliesX, a with 640 employees, based in Greater Sydney Area, Australia. AeroLeads shows a matched LinkedIn profile for Samuel Jarvis.

Samuel Jarvis previously worked as Machine Learning Engineer at Wooliesx and Data Scientist at Wooliesx. Samuel Jarvis holds Bachelor'S Degree, Actuarial Science, Information Technology from The Australian National University.

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Email format at WooliesX

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WooliesX

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Profile bio

About Samuel Jarvis

Data Scientist with four years experience in the financial services industry, with an education background in Software Development and Actuarial Studies. Specialised in using data science and modelling to build products that help customers improve their financial wellbeing, with a meticulous understanding of data flows and downstream impacts.

Current workplace

Samuel Jarvis's current company

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WooliesX
Wooliesx
Machine Learning Engineer at WooliesX
surry hills, new south wales, australia
Website
Employees
640
AeroLeads page
8 roles

Samuel Jarvis work experience

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

Machine Learning Engineer

Current

Sydney, New South Wales, Australia

Jun 2024 - Present

Data Scientist

Sydney, New South Wales, Australia

Jan 2023 - Jun 2024

Data Scientist

Sydney, New South Wales, Australia

● Managed implementation of regulatory change to Bill Sense and decommission of asuperseded model. Supervised an Associate Data Scientist in my team to deliver thechanges. Designed and coded solution, defined test cases, and collaborated with dataengineers to implement changes. Communicated impacts to business stakeholders.● Developed algorithm and system for an upcoming feature in the CommBank App. Builtproof of concept from initial data exploration and model development to staff pilot.Collaborated with architects, developers, and designers to build the feature forcustomers.● Created and tested enhancement to SQL job for removing duplicates from a maintainedmerchant list. Performed Market Basket Analysis to find candidates.● Built XGBoost model for predicting customer revenue loss due to branch closure.● Mentored Graduate Data Scientist and supervised them on the branch closure project

May 2021 - Jan 2023

Associate Data Scientist

Sydney, Australia

● Built production model in an R package for predicting due dates for over 100 millionbills each day. Increased accuracy overall, notably providing 100% uplift from 20% to40% accuracy for monthly bills over baseline extrapolation calculation.● Built pipeline in R to track and store model performance of 21 models.● Conducted COVID19 analyses using Bayesian Structural Time Series models for impacton consumer spending, alongside identifying and preparing JobKeeper data.

Aug 2019 - May 2021

Graduate Data Analyst

Sydney, Australia

Analytics graduate in Retail Banking Services.Third rotation in Data Science, AI Labs.Refitted an XGBoost model with multiple improvements, including a sophisticated biased sampling approach to improve customer's onboarding experience for an upcoming feature of the CommBank App.Wrote model documentation, examined model accuracy and developed a methodology for choosing model score thresholds to be used.Second rotation in Advanced Analytics and Modelling, Scoring and Optimisation team:I completed a demographic analysis of customers who were not receiving specific types of marketing messages through the Customer Engagement Engine.I also completed an analysis of identifying trigger events for customers who are more likely to sell their property.First rotation in the Price Modelling and Optimisation team. I worked on a propensity model from the scoping phrase through to the model build.

Feb 2018 - Aug 2019

Intern Data Analyst

Sydney, Australia

10 week internship in the Distribution Analytics team, working on a network displacement project.

Dec 2016 - Feb 2017

Academic Team (It Assistant)

Burton And Garran Hall Anu

Canberra, Australia

Jan 2016 - Dec 2016

Crew Member

Mudgee, Nsw

Flippin' burgers every Friday night

Sep 2010 - Jan 2014
Team & coworkers

Colleagues at WooliesX

Other employees you can reach at wooliesx.com.au. View company contacts for 640 employees →

2 education records

Samuel Jarvis education

Education record

Mudgee High School
FAQ

Frequently asked questions about Samuel Jarvis

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What company does Samuel Jarvis work for?

Samuel Jarvis works for WooliesX.

What is Samuel Jarvis's role at WooliesX?

Samuel Jarvis is listed as Machine Learning Engineer at WooliesX at WooliesX.

Where is Samuel Jarvis based?

Samuel Jarvis is based in Greater Sydney Area, Australia while working with WooliesX.

What companies has Samuel Jarvis worked for?

Samuel Jarvis has worked for Wooliesx, Commonwealth Bank, Burton And Garran Hall Anu, and Mcdonald'S.

Who are Samuel Jarvis's colleagues at WooliesX?

Samuel Jarvis's colleagues at WooliesX include Carla Kokozian, Jonathan Wermut, Bryan Collis, Ashley Pearce, and Michael Barry.

How can I contact Samuel Jarvis?

You can use AeroLeads to view verified contact signals for Samuel Jarvis at WooliesX, including work email, phone, and LinkedIn data when available.

What schools did Samuel Jarvis attend?

Samuel Jarvis holds Bachelor'S Degree, Actuarial Science, Information Technology from The Australian National University.

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