Data Scientist

Mane Consulting; Canberra; On-site; AUD 120,000 - 180,000; Full time

Job summary

Mane Consulting in Canberra is seeking a Data Scientist to drive internal analytics projects across the business, from quick exploratory analyses to long-term studies. You will monitor product performance and identify opportunities to optimise profitable growth.

Collaborate with motivated colleagues, translate complex findings into clear insights, and develop scalable models using Python, SQL, and common ML techniques. Experience with Tableau or Power BI to present results is highly valued.

Qualifications

• Experience with statistical modeling and ML software.
• Strong SQL skills for data extraction and analysis.
• Familiarity with Gen AI and staying updated on advancements.
• Ability to present data insights to varied audiences.
• Experience with Tableau/Power BI for interactive visuals.
• Collaborative, fast-paced team player.
• Bachelor’s degree as listed in the education section.
• Experience handling large and complex datasets.

Responsibilities

• Regular monitoring and analysing product performance to identify growth opportunities.
• Perform statistical and/or machine learning modelling for business optimisation.
• Train, validate, and fine-tune models on large datasets; deploy scalable solutions.
• Continuously improve existing models and analytics capabilities.

Skills

Python

R

Advanced SQL

Gen AI awareness

Ensemble methods

Storytelling with data

Communication skills

Team collaboration

Self-starter

Critical thinking

Education

Bachelor’s degree in Economics/Statistics/Mathematics/Operations Research/Marketing

Tools

Tableau

Power BI

Excel

Job description

Get recognition and reward working with this a pioneering industry leader, as they embark on a transformative journey! The Data Scientist will drive internal data analytics projects serving all areas of the company. Investigations will vary from short preliminary explorations to deeper, longer-term studies.

You will have the opportunity to work side by side with talented, motivated, and intellectually stimulating colleagues who thrive on helping the business solve the most pressing business opportunities.

Role & Responsibilities:

• Regular monitoring and analysing the performance of products, as required, at the macro, rating factor and agent in order to identify opportunities to optimise profitable growth through necessary changes.
• Statistical and / or machine learning modelling to optimise areas of the business
• Train, validate, and fine-tune models using large datasets, ensuring high accuracy and reliability.
  Implement scalable solutions that can handle large volumes of data and adapt to changing business requirements.
• Continual improvement, monitoring and improvement of existing models

Ideally you will have:

• Expertise and hands on experience with statistical modeling and machine learning software (Python, R, etc.)
• Advanced SQL
• Familiarity with Gen AI technologies and a keen interest in staying abreast of industry advancements.
• Comfort with common applied ML strategies and ensemble methodologies
• Passionate about storytelling with data. Ability to port analytics outcomes into interactive- or presentation-based media (e.g. Tableau, Power BI).
• Understand technical basics of data visualization and common pitfalls. Ability to make clean, elegant, informative graphs.
• Exceptional written and verbal communication skills. Ability to present data science findings to sizable audiences of laymen and specialists alike.
• Ability to work collaboratively as part of a fast-paced, customer oriented team
• Desire to use or create standards, consider reusability, and have a long-term view while understanding short-term needs
• Self-starter who provides ideas and solutions and understands various approaches within the BI discipline
• Bachelor’s degree or above (Areas of study/related study include: Economics, Statistics, Mathematics, Operations Research, and Marketing)
• Excel in and passionate about working with complex datasets and developing presentations using insights derived from the analytics
• Highly analytical with strong problem solving and critical thinking skills
• Passion for using data to solve complex business questions and drive business solutions