Data Scientist

I contribute to product development, problem-solving, and emerging tech using PhD-level rigour to work with AI/ML tools.
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Work expectations

Status
Actively looking
Not looking
Not looking
Open to new opportunities
Location
Sydney
-
Open to relocating
Commitment
Full-time, Casual / Contract / Part-time, Join as a startup co-founder, Internship
Availability from time of offer
In 1 month or less
Years of experience
Less than one year
Top 3 languages or frameworks
Python, SQL, MATLAB
Also knows
Preferred work environment
Hybrid, In the office
Strengths
Interested in working involving
I'm interested in roles spanning quantum computing, data science/analytics, and AI, as well as consulting and EdTech — fields where I can apply my PhD in theoretical physics and research background to solve real, applied problems. My experience blends scientific research, university teaching, and EdTech product development, and I'm drawn to organisations working on hard technical problems where I can keep learning and contribute meaningfully.
Not interested in work involving

Other information
Able to work in Australia without visa sponsorship
Requires visa sponsorship to work in Australia

Pay expectations

Full-time
$
100000
per year
Casual / Contract
$
70
per hour
Pay is negotiable in exchange for equity
Pay is negotiable in exchange for equity
Pay is not negotiable in exchange for equity
Open to volunteering or working for equity only
Not interested in volunteering or working for equity only if joining as a co-founder

Referred by

  •  

Work experience

Proudest professional achievement
Instructional Designer & Physics Content Lead
EdTech platform founded by network of intellectual schools • Jan 2025 – Present

Leading a team of 20+ subject matter experts to create AI-assisted physics content on a live platform (9,500+ users); bridging between curriculum specialists and engineering on AI tooling
Co-developing evaluation rubrics and retrieval strategies for a RAG-based content generation module (ChatGPT API + curriculum knowledge base) across Physics content in Kazakh, Russian, English
Delivering workshops for educators on AI-assisted platform tools and engaging directly with internal/external stakeholders on platform development priorities

Postdoctoral Researcher & Lecturer
Kazakh university / German technical university • Feb 2022 – Apr 2025

Conducted theoretical research on rare subatomic particle decays, analysing experimental data from CERN and building and validating theoretical models against it
Published results in the European Physical Journal C; work presented at Moriond EW 2024 (Italy)
Collaborated across multi-institutional partnerships (UK, Germany), coordinating research deliverables, timelines, and reporting
Designed and delivered university-level courses in Quantum Mechanics, Theoretical Mechanics, and Statistical Physics; developed Python-based numerical problem-solving workshops for students

Teaching Assistant — Mathematics
UK research university • Oct 2018 – Feb 2021

Delivered tutorials in Mathematics for Electrical Engineering and Intro to Research in Mathematics

Education

PhD, Theoretical Particle Physics | University of Liverpool, UK | Bolashak Scholarship
2017 – 2022
– Developed analytical and computational frameworks for rare decays and dark matter phenomenology
– Results published in two peer-reviewed journals and presented at two international conferences

BSc & MSc, Physics | L.N. Gumilyov Eurasian National University, Kazakhstan
2009 – 2015
– GPA 3.77 / 3.80
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