Salary
💰 $64,000 - $96,000 per year
Tech Stack
LinuxPythonSpark
About the role
- Contribute to data science projects ensuring scientific integrity of work products in assigned business areas
- Conduct exploratory data analysis to obtain insights using analytical methods and statistical techniques
- Solve data issues to provide advice on underwriting policies and to support decision-making and improve operational efficiency
- Provide subject matter guidance to build and deploy models, and analyse model performance
- Collaborate with other analytics team members to size analytical opportunities and create delivery plans for positive commercial returns
- Provide input on analytical models to drive fraud identification, recoveries, renewals, and profitable growth
- Assist in developing commercial propositions using analytics within insurance core functions
- Develop knowledge of new feature sets and explore machine learning algorithms for extracting new features
- Serve as a modelling and data science partner for specific business areas to enhance work products' scientific integrity
Requirements
- Some relevant work experience
- Experience in producing insights from large datasets using R, Python, Spark (preferred)
- Collaborative programming project experience (preferred)
- Comfortable working in a Linux environment (preferred)
- Knowledge of Computer Science Fundamentals, Probability and Statistics, Data Modelling, Machine Learning Algorithms, Software Engineering
- Tertiary Degree or equivalent combination of education and work experience (necessary)
- Postgraduate Degree preferred
- Degree qualified in econometrics, mathematics, statistics or related discipline (preferred)
- Must be authorized to work in the United States on a full-time basis without the need for current or future sponsorship
- Skills: Analytical Thinking, Communication, Critical Thinking, Data Analytics, Data Modeling, Data Science, Data Visualization, Financial Products, Intentional collaboration, Machine Learning, Managing performance, Research Analysis, Risk Management, Stakeholder Management, Statistical Models
- Hybrid Working – a mix of working from home and in the office
- 22 weeks of paid leave for family growth, with 12 weeks available to all parents on a gender-equal basis
- Competitive 401(k) program with company match up to 8%
- Well-being program including holistic wellbeing coaching, gym membership, confidential counselling, financial and legal advice
- Tuition Reimbursement for professional certifications, and continuing education
- Eligibility for QBE’s annual discretionary bonus plan based on business and individual performance
- Employee Network and Community and opportunities to give back to the community
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
RPythonSparkData ModellingMachine Learning AlgorithmsStatistical TechniquesData AnalysisData VisualizationSoftware EngineeringProbability and Statistics
Soft skills
Analytical ThinkingCommunicationCritical ThinkingIntentional CollaborationManaging PerformanceResearch AnalysisStakeholder Management
Certifications
Tertiary DegreePostgraduate Degree