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Tom Black Email & Phone Number

Head of Data Science (Business Optimisation) at SourseAI
Location: Lower Daintree, Queensland, Australia 8 work roles
1 work email found @sourse.co LinkedIn matched
✓ Verified Jul 2026 3 data sources Profile completeness 86%

Contact Signals · 1 work email

Work email t****@sourse.co
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Current company
Role
Head of Data Science (Business Optimisation)
Location
Lower Daintree, Queensland, Australia
Company size

Who is Tom Black? Overview

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Quick answer

Tom Black is listed as Head of Data Science (Business Optimisation) at SourseAI, a with 9 employees, based in Lower Daintree, Queensland, Australia. AeroLeads shows a work email signal at sourse.co and a matched LinkedIn profile for Tom Black.

Tom Black previously worked as Co-Founder at Daintree Data and Analytics Freelancer (various roles) at Self-Employed.

Company email context

Email format at SourseAI

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*@sourse.co
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AeroLeads found 1 current-domain work email signal for Tom Black. Compare company email patterns before reaching out.

Profile bio

About Tom Black

Tom Black is a Head of Data Science (Business Optimisation) at SourseAI. He possess expertise in data analysis, analytics, management, python, digital marketing and 16 more skills.

Listed skills include Data Analysis, Analytics, Management, Python, and 17 others.

Current workplace

Tom Black's current company

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SourseAI
Sourseai
Head of Data Science (Business Optimisation)
barangaroo, new south wales, australia
Website
Employees
9
AeroLeads page
8 roles

Tom Black work experience

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

Head Of Data Science (Business Optimisation)

Current

Daintree, Queensland, Australia

My current focus at Sourse is developing and maintaining self-serve ML to help clients understand their return on advertising spend, optimise their media mix and develop a better understanding of multi-touch attribution across the digital (and traditional) portfolio.

Aug 2021 - Present

Co-Founder

Daintree, Queensland, Australia

Daintree Data offers advanced analytics and marketing consulting services. We help our clients to get the most out of their data, and to answer tricky questions.We work both with clients seeking their own answers, and with agencies serving their own clients.

Analytics Freelancer (Various Roles)

Self-Employed

Daintree, Queensland, Australia

I work with businesses of all sizes to help understand data and achieve efficiencies through analytics. Some examples of tools used are:- predictive modelling such as regression/random forest etc.- business automation e.g. Python/R/SQL/VBA etc.- forecasting and market mix modelling- segmentation and choice modelling

Jul 2015 - Feb 2020

Client Services Lead - Red Planet

Sydney (Remote)

As Client Services Lead at Red Planet, I led a team responsible for the delivery of media insights, customer analytics and market research services to both external clients as well as internal Qantas Group stakeholders.

May 2017 - Dec 2018

Marketing Analytics Consultant

Melbourne, Australia

Australia Post engaged me to help design a marketing measurement framework to monitor digital and traditional activity across myriad concurrent campaigns. A large portion of my remit involved integrating market research data to supplement media analysis and understand holistic marketing performance.

Jul 2015 - Jul 2016

Independent Business Owner

Melbourne, Australia

P Software designs and builds custom web applications and dashboards for market research data. As co-owner, I translated client use-cases into functional specifications including the execution of data and analytics requirements.

Jan 2014 - Dec 2015

Head Of Analytics

Melbourne, Australia

At Evolve Research, I enjoyed leading a team of analysts and developing the analytics function of the business. My focus was combining traditional advanced analytics with modern machine learning techniques; a then rare approach in the industry.Alongside this analysis, I had the opportunity to develop and maintain automated text analysis applications to understand large amounts of unstructured data.

Nov 2014 - Jun 2015

Analyst

Melbourne, Australia

Lewers Research is a boutique market research agency at the forefront of best-practice quantitative techniques. As an analyst I enjoyed the challenge of gleaning insights from data and questioning the parameters of traditional research approaches. Through the integration of SPSS and Python, I was able to increase the efficiency and integrity of the data behind our analysis, further enriching our learnings.As well as simultaneously running the analysis for three tracking projects, my tool set included regression modelling and driver analysis, choice-based modelling/simulation and latent-class segmentation.

Jun 2013 - Nov 2014
Team & coworkers

Colleagues at SourseAI

Other employees you can reach at sourse.co. View company contacts for 9 employees →

FAQ

Frequently asked questions about Tom Black

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

What company does Tom Black work for?

Tom Black works for SourseAI.

What is Tom Black's role at SourseAI?

Tom Black is listed as Head of Data Science (Business Optimisation) at SourseAI.

What is Tom Black's email address?

AeroLeads has found 1 work email signal at @sourse.co for Tom Black at SourseAI.

Where is Tom Black based?

Tom Black is based in Lower Daintree, Queensland, Australia while working with SourseAI.

What companies has Tom Black worked for?

Tom Black has worked for Sourseai, Daintree Data, Self-Employed, Qantas, and Australia Post.

Who are Tom Black's colleagues at SourseAI?

Tom Black's colleagues at SourseAI include Henrik Petander, Irene Rix, Rhys Madigan, David Mark, and Bob Hennessy.

How can I contact Tom Black?

You can use AeroLeads to view verified contact signals for Tom Black at SourseAI, including work email, phone, and LinkedIn data when available.

What skills is Tom Black known for?

Tom Black is listed with skills including Data Analysis, Analytics, Management, Python, Digital Marketing, Data Visualization, Analysis, and Machine Learning.

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