Senior Data Scientist

DataPeak Australia

🇦🇺 Sydney, AustraliaFull-timeSenior (6–9 yrs)

Visa Sponsorship AvailableRelocation: FullHybrid

About this Role

DataPeak Australia is an ENS (Employer Nomination Scheme) approved sponsor seeking a Senior Data Scientist to lead ML projects for our enterprise clients. You will design and deploy machine learning models that drive business decisions for leading Australian and international companies.

Your work will span NLP, predictive analytics, and recommendation systems. You will mentor a team of 4 data scientists and work directly with C-suite stakeholders.

Australia's ENS pathway allows employer-sponsored PR after 3 years, making this an excellent long-term opportunity.

Requirements

Education

Master's or PhD in Data Science, Statistics, or related field

Experience

Senior (6–9 yrs)

Language

English C1 required

Contract

Full-time

Required Skills

PythonMachine LearningPyTorch/TensorFlowSQLSparkAWS SageMakerStatistical modeling

International Applicants & Work Permit

Eligible applicants

Accepted

Eligible regions

Worldwide

Relocation details

Full relocation: economy class flights, 4 weeks serviced apartment, AUD 5,000 settlement allowance.

Sponsorship status

Available

Work Permit / Visa Route

Subclass 482 (TSS) visa → Subclass 186 ENS permanent residency after 3 years.

Benefits

ENS employer nomination (pathway to PR)

Full relocation

Superannuation 11%

Private health insurance

Flexible hybrid work

Annual conference budget AUD 3,000

20 days leave + public holidays

About DataPeak Australia

Sydney-based data analytics and AI consultancy. Nominated sponsor under the Employer Nomination Scheme (ENS).

Sydney, Australia50-200 employeesData & AI Verified by Workero

Always verify final sponsorship and work-permit requirements with the employer and official destination-country authorities. Workero does not guarantee employment, visa approval, work permit approval, or relocation. Sponsorship status is based on employer-provided information and Workero review checks.