Data Scientist

Mane Consulting; Sydney; On-site; AUD 120,000 - 170,000; Full time

Job summary

Mane Consulting seeks a data science professional to drive internal analytics across the business. You will model, monitor, and scale data-driven solutions, translating insights into compelling visuals and presentations for varied stakeholders.

The role emphasizes collaboration, storytelling, and staying ahead of AI-driven methods while improving existing models and processes.

Qualifications

• Experience with statistical modeling and ML software (Python, R).
• Advanced SQL proficiency.
• Familiar with Gen AI and industry advances.
• Comfort with ensemble ML strategies.
• Passionate about storytelling with data and visualization.
• Strong written and verbal communication to varied audiences.
• Collaborative in a fast-paced, customer-oriented team.
• Bachelor's degree or above in Economics, Statistics, Mathematics, OR, or Marketing.
• Experience with large, complex datasets and analytics presentations.
• Self-starter with ideas and a long-term view in BI discipline.

Responsibilities

• Regular monitoring and analysing product performance to identify growth opportunities.
• Statistical and/or machine learning modelling to optimise business areas.
• Train, validate, and fine-tune models using large datasets; implement scalable solutions.
• Continual improvement and monitoring of existing models.

Skills

Statistical modelling

SQL

Gen AI

Machine learning

Data storytelling

Data visualization

Communication skills

Teamwork

BI standards

Complex datasets

Education

Bachelor's degree or above

Tools

Python

R

Tableau

Power BI

Excel

SQL

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