Callum Abbott
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Callum Abbott Email & Phone Number

Senior Data Engineer at Birdie
Location: United Kingdom 9 work roles 2 schools
1 work email found @sidekickhealth.com LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email c****@sidekickhealth.com
LinkedIn Profile matched
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Current company
Role
Senior Data Engineer
Location
United Kingdom
Company size

Who is Callum Abbott? Overview

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Quick answer

Callum Abbott is listed as Senior Data Engineer at Birdie, a with 158 employees, based in United Kingdom. AeroLeads shows a work email signal at sidekickhealth.com and a matched LinkedIn profile for Callum Abbott.

Callum Abbott previously worked as Product Manager at Sidekick Health and Analytics Engineer / Data Scientist, Core Application at Sidekick Health. Callum Abbott holds Msc Data Science, Machine Learning from The University Of Edinburgh.

Company email context

Email format at Birdie

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{first}@sidekickhealth.com
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AeroLeads found 1 current-domain work email signal for Callum Abbott. Compare company email patterns before reaching out.

Profile bio

About Callum Abbott

User-first Data Scientist interested in all aspects of product development; from engineering and statistics, to marketing and design.

Listed skills include Mathematics, Leadership, Deep Reinforcement Learning, Physics, and 46 others.

Current workplace

Callum Abbott's current company

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Birdie
Birdie
Senior Data Engineer
United Kingdom
Website
Employees
158
AeroLeads page
9 roles

Callum Abbott work experience

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

Senior Data Engineer

United Kingdom

Product Manager

Current

London, England, United Kingdom

• Leading a cross-functional team of 10 engineers and a designer, fostering collaboration and aligningproject goals, resulting in timely and successful product releases.• Developed and managed product roadmaps, presenting strategic plans and project outcomes to seniorleadership, securing buy-in and additional resources for further development.• Deployed a recommender system, enhancing coach efficiency by reducing decision fatigue throughdata-driven recommendations, which improved user satisfaction by 24%.• Oversaw the development of an AI message suggestion system, increasing coach productivity by67% by streamlining communication processes and reducing response time.• Leveraged the product analytics infrastructure I built as a Data Scientist alongside A/B testing anduser feedback to improve product features continuously.

Sep 2023 - Present

Analytics Engineer / Data Scientist, Core Application

London, England, United Kingdom

• Data Scientist (4th Data hire) in the Core Application team, collaborating with product managers, user researchers, designers, and engineers to deliver the best app experience possible• Led the introduction of Amplitude (a product analytics platform) to multiple cross-functional teams, enabling the delivery of user data on feature adoption and usage to drive product decisions• Owned the product analytics pipeline end-to-end within the Core Application team, from defining event schemas to the implementation of code in iOS, Android, and Flutter • Built standardised metric layer using a dbt (BigQuery SQL) and Airflow for quick analysis of A/B tests and increased data quality• Designed and analysed multiple A/B tests for the mobile application, leveraging causal inference methods to analyse results• Built a data-driven push notification feature and corresponding A/B test, which showed a significant increase in user retention• Built end-to-end data products (dashboards and datasets) sold to clients working in Pharmaceuticals and Health Insurance

Sep 2021 - Sep 2023

Data Scientist

Reykjavík, Capital Region, Iceland

May 2021 - Sep 2021

Ai Researcher

Edinburgh, Scotland, United Kingdom

🏥 Member of Professor Jacques Fleuriot AI Lab during my Master's studies, where I focussed on applying Causal Inference and Machine Learning methods to health data🏆 Awarded the MSc Statistics with Data Science Thesis Prize (Grade: 90%) for my work titled: "To Drain or Not to Drain? A Causal Investigation into the Efficacy of Subdural Drains in Preventing CSDH Recurrence"

Apr 2021 - Sep 2021

Ai Engineer

Edinburgh, Scotland, United Kingdom

Member of AI Perception Team trying to teach a car to drive itself 🏎⭐️ My role involved the processing of the car's stereo camera and LIDAR data which necessitated working with algorithms such as SIFT, SURF, and ConvNets, as well as technologies such as ROS, C++ and git.

Sep 2020 - Jan 2021

Data Scientist

Glasgow, Scotland, United Kingdom

Summer internship as part of the Space Placements in Industry (SPIN) Scheme 2020: supported by the Satellite Applications Catapult and managed by the UK Space Agency 🪐🤖 Contributed to the development of Omanos Analytics' machine learning applications by establishing an internal training data pipeline during a summer internship as part of the Space Placements in Industry Scheme 2020🛰️ Designed and implemented an object detection algorithm using TensorFlow that allowed for automated monitoring of large herbivores using high-resolution satellite imagery🦌 My work secured £30k in funding for Omanos Analytics to further develop their use of ML methods for wildlife monitoring.

Jul 2020 - Sep 2020

Researcher

Edinburgh, Scotland, United Kingdom

Asteria are an Edinburgh University group dedicated to designing, manufacturing, and operating orbital nanosatellites.⭐️ Created, designed and assessed scientific missions to be assigned to our 3U CubeSat scheduled to be launched in Dec 2021.⭐️ Successfully negotiated with academic experts from institutions such as the University of Edinburgh to support and advise our organisation's endeavour.⭐️ Curated and wrote scientific mission proposals which secured funding for our 3U CubeSat.

Mar 2020 - Jul 2020

Hotel Staff

Stykkisholmur, Iceland

Hótel Egilsen is a luxury, boutique hotel located in Western Iceland. Whilst spending the Summer of 2019 in the beautiful location I:⭐️ Successfully gained conversational proficiency in the Icelandic language.⭐️ Effectively managed a plethora of responsibilities ranging from front of house, receptionist, housekeeping, and bartender.⭐️ Hosted, and communicated with, guests from all over the world.

May 2019 - Aug 2019
Team & coworkers

Colleagues at Birdie

Other employees you can reach at birdie.care. View company contacts for 158 employees →

2 education records

Callum Abbott education

Msc Data Science, Machine Learning

Activities and Societies: • Asteria • Informatics Football • Scandinavian Society • EdIntelligence (Data and AI Society) • ML Society⭐️.

Bsc Theoretical Physics, First Class 1:1

⭐️ Overall Grade: 83% ⭐️ Second highest in the 2020 BSc Theoretical Physics cohort

FAQ

Frequently asked questions about Callum Abbott

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

What company does Callum Abbott work for?

Callum Abbott works for Birdie.

What is Callum Abbott's role at Birdie?

Callum Abbott is listed as Senior Data Engineer at Birdie.

What is Callum Abbott's email address?

AeroLeads has found 1 work email signal at @sidekickhealth.com for Callum Abbott at Birdie.

Where is Callum Abbott based?

Callum Abbott is based in United Kingdom while working with Birdie.

What companies has Callum Abbott worked for?

Callum Abbott has worked for Birdie, Sidekick Health, Sling, The University Of Edinburgh, and Edinburgh University Formula Student.

Who are Callum Abbott's colleagues at Birdie?

Callum Abbott's colleagues at Birdie include Koena Rachel, Alex Jekov, Lucy Rollinson-Ogilvie, Anthony Sennett, and Brandy Mcdaniel.

How can I contact Callum Abbott?

You can use AeroLeads to view verified contact signals for Callum Abbott at Birdie, including work email, phone, and LinkedIn data when available.

What schools did Callum Abbott attend?

Callum Abbott holds Msc Data Science, Machine Learning from The University Of Edinburgh.

What skills is Callum Abbott known for?

Callum Abbott is listed with skills including Mathematics, Leadership, Deep Reinforcement Learning, Physics, Neural Networks, Scikit Learn, R, and Consulting.

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