Data Scientist Analyst

Suncorp Group; Sydney; Hybrid; AUD 100,000 - 140,000; Full time

Benefits offered by this job

Hybrid work model

Competitive salary

Comprehensive training and development

Employee discounts at major retailers

Study assistance

Paid parental leave (up to 20 weeks)

Wellness initiatives & health perks

Job summary

Suncorp Group is seeking a skilled pricing analytics data scientist to develop pricing recommendations and deploy ML techniques to improve portfolio performance. You’ll analyse customer, market and competitor data, build models, and partner with stakeholders to translate insights into business actions.

Role requires Python or R, SQL, strong analytical ability, and knowledge of ML methods. Insurance experience is desirable.

Qualifications

• Bachelors in quantitative field (data science, statistics, actuarial, computer science, maths).
• Master’s/PhD desirable but not required.
• Experience with Python or R and SQL is essential.
• Knowledge of ML techniques and statistical modelling is needed.

Responsibilities

• Develop pricing recommendations and proposals to support portfolio performance and objectives.
• Apply machine learning and advanced analytical techniques to improve pricing outcomes.
• Analyse customer, market and competitor data to provide actionable insights.
• Monitor portfolio and model performance.
• Partner with stakeholders to communicate insights.
• Contribute to data transformation initiatives.

Skills

Python

R

SQL

Analytical thinking

Communication

ML techniques

Insurance domain knowledge

Education

Bachelor’s degree in a quantitative field

Master’s/PhD (desirable)

Job description

• Develop pricing recommendations and proposals that support portfolio performance and business objectives.
• Apply machine learning and advanced analytical techniques to improve pricing outcomes.
• Analyse customer, market and competitor data to provide actionable insights.
• Partner with stakeholders to communicate insights.

Job Description

What you'll do

• Develop pricing recommendations and proposals that support portfolio performance and business objectives.
• Apply machine learning and advanced analytical techniques to improve pricing outcomes.
• Analyse customer, market and competitor data to provide actionable insights.
• Monitor portfolio and model performance.
• Partner with stakeholders to communicate insights.
• Contribute to data transformation initiatives.

What You'll Bring

• Experience with Python or R and SQL.
• Strong analytical and problem-solving capability.
• Knowledge of machine learning and statistical modelling.
• Strong communication skills.
• Exposure to or understanding of common ML techniques: multivariate classification/regression, GLM, Lasso, tree-based models (CART, random forest, GBM), hypothesis testing, etc.
• Insurance experience is desirable but not essential.
• Exposure to insurance products will be viewed favourably.

Qualifications

• Bachelor’s degree in a quantitative area (data science, statistics, actuarial, computer science, maths etc).
• Master’s / PhD degree with good academic performance (desirable)

What We Can Offer

At Suncorp, we offer benefits that support, empower, and reward our people. Some of our benefits include:

• Competitive annual salary and salary review opportunities
• Comprehensive training, coaching, and ongoing development from day one
• A supportive team culture where people genuinely care about one another
• Flexible work arrangements, including a hybrid working model
• Employee discounts and rewards at major Australian retailers, including Myer, David Jones, Coles, and Woolworths
• Discounts on eligible Suncorp products and insurance
• Study assistance for eligible employees
• Up to 20 weeks of paid parental leave for primary carers
• Wellness initiatives, including discounted health insurance and gym memberships

Why Suncorp?

At Suncorp, our purpose is to build futures and protect what matters.

If you're looking for a role where you can develop your skills, build a meaningful career, and make a genuine difference in people’s lives, we'd love to hear from you.

If you require support or adjustments to participate equitably in our recruitment process, we encourage you to contact [e-mail] for a confidential discussion