VIE Data Scientist Consultant

Sia Partners; Sydney; On-site; AUD 90,000 - 130,000; Full time

Job summary

Sia Partners is seeking a Data Science Consultant in Sydney to join our AI-focused team. You will build AI and generative AI solutions, support clients in digital transformation, and develop ML models for decision support.

You'll work on NLP, CV, and audio tasks, design LLM-based systems, and create RAG pipelines. A strong statistics background and Python expertise are essential for rapid ownership of high-value assignments.

Qualifications

• You hold a Master's degree from an engineering school or an advanced degree in information processing, statistical engineering, or econometrics, and you have at least one year of prior experience in Big Data or Data Science.
• You have an excellent level in statistics and quantitative analysis (theoretical and practical knowledge, intuition, and ease in understanding and applying models).
• You are proficient in Python programming and code versioning, and ideally have knowledge of API development (Flask, FastAPI), cloud platforms (Azure, AWS, or GCP), and Deep Learning frameworks (PyTorch, TensorFlow) or Generative AI frameworks (LangChain, LangGraph).
• You want to get involved and quickly take on responsibility for high-value-added assignments within a dynamic organization.
• You have a strong interest in data and AI-related challenges, the ability to quickly build expertise in these areas, and enthusiasm for helping our clients seize the opportunities they present.

Responsibilities

• Develop AI and generative AI solutions and support clients in AI-driven digital transformation.
• Build explanatory and predictive models for decision-making using ML and statistics.
• Work on Deep Learning for NLP, Computer Vision, and audio data.
• Design and deploy LLM-based solutions, RAG pipelines, and AI-powered assistants.
• Create and implement constrained optimization and simulation models where applicable.

Skills

Python programming

Statistics

Quantitative analysis

API development

Cloud platforms

Deep learning frameworks

Generative AI frameworks

Education

Master's degree in engineering or information processing/econometrics

Tools

PyTorch

TensorFlow

LangChain

LangGraph

Job description

Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced bycreativityand driven by responsibility. We'reoptimists for change and we help clientsinitiate,navigateandbenefitfrom transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. Withexpertiseacross a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Ourexpertisedelivers results. Our optimism transforms outcomes.

Job Description

As a Data Science Consultant, you will join our team of experts to develop AI and generative AI solutions and support our clients in their AI-driven digital transformation, particularly on the following topics:

Machine Learning and Statistics: building explanatory and predictive models to support decision-making (supervised and unsupervised learning algorithms, econometrics, time series forecasting, reinforcement learning, etc.)

Deep Learning: intelligent processing of unstructured data such as text (Natural Language Processing), images (Computer Vision), and audio (Speech-to-Text and Text-to-Speech)

Generative AI & Large Language Models (LLMs): designing and deploying LLM-based solutions (GPT, Claude, Mistral, etc.), developing RAG (Retrieval-Augmented Generation) pipelines, creating business-focused conversational assistants and autonomous agents

Operations Research: helping design and implement constrained optimization solutions and simulation models

Big Data: algorithmic knowledge for processing large volumes of unstructured data

Qualifications

You hold a Master's degree from an engineering school or an advanced degree in information processing, statistical engineering, or econometrics, and you have at least one year of prior experience in Big Data or Data Science.

You have an excellent level in statistics and quantitative analysis (theoretical and practical knowledge, intuition, and ease in understanding and applying models).

You are proficient in Python programming and code versioning, and ideally have knowledge of API development (Flask,FastAPI), cloud platforms (Azure, AWS, or GCP), and Deep Learning frameworks (PyTorch, TensorFlow) or Generative AI frameworks (LangChain,LangGraph).

You want to get involved and quickly take on responsibility for high-value-added assignments within a dynamic organization.

You have a strong interest in data and AI-related challenges, the ability to quickly buildexpertisein these areas, and enthusiasm for helping our clients seize the opportunities they present.

Are you curious and enjoy working as part of a team? Are you known for your analytical skills?
Do you want to join a dynamic and motivating professional environment? Do you share our values of excellence, entrepreneurship, innovation, sharing, kindness, and work-life balance?

Are you fluent in English?

Additional Information

Please ensure you meet the VIE contract eligibility criteria as established by Business France:

• Anyone over 18 and under 28 years of age on the date of registration may apply for an International Volunteer Program (VIE).
• Departure on assignment must take place no later than the day of your 29th birthday. Beyond this, no exceptions are granted.
• You must hold French or European nationality (a national of a Member State of the European Economic Area, which comprises the 28 Member States of the European Union, Norway, Iceland, and Liechtenstein) or Monégasque nationality.
• You must be in compliance with the national service obligations of the country of which you are a national.
• You must be in possession of your civic rights and have a clean criminal record.

Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.