Senior Data Scientist

At Bupa, our purpose is helping people live longer, healthier, happier lives and making a better world. Join the Healthcare Management Data Science & Insights team in this newly created role as Senior Data Scientist. Working in a passionate team of healthcare data professionals, you’ll make a direct impact by delivering advanced statistical analysis for our hospital, medical and ancillary business groups. You will be passionate about working with data and have a background in application of statistics & machine learning techniques on data with demonstrated strengths in storytelling and presenting insights to key stakeholders focused on improving customer outcomes. Your strengths in descriptive analysis, data visualisation, coupled with exceptional influencing skills and ‘can do’ attitude will help you thrive in the role. This is a dynamic team who work flexibly, are innovative and thrive when collaborating. This is a permanent full-time position based in our Melbourne, Brisbane or Sydney offices when you are not working from home. (Bupa offers hybrid working and you can work from the office or at home) How will I help? Provide advanced analytics support including, machine learning and AI to Health Insurance Problems by partnering with business areas to identify and execute on use cases that will deliver value to Bupa and our customers Leverage new capabilities that become available as Bupa transitions its data from SAS to the Microsoft Azure platform Lead in-house analytics projects and upskill people across Analytics Insights & Claims Integrity as appropriate Apply your broad skillset across data and analytics to develop and implement analytical models to support key business areas such as fraud, waste and abuse, behaviour change, contract management, modelling and prediction through to interventions and health programs. Compile insights and recommendations into clear, concise deliverables for internal business partners, derive insights from data and communicate those insights to a non-technical audience through presentations and documentation. Provide guidance to other Analytics Insights & Claims Integrity members in terms of optimum approaches to problem-solving including dashboard design, critical thinking using advanced techniques such as NLP and network analysis Benefits We keep our people smiling by helping them improve their lives in and outside of the office. We’re a welcoming lot, no matter who you are or where you’ve come from. We welcome all talents and backgrounds and embrace our differences, so you can bring your true self to work. We support our people to be the best version of themselves, physically and mentally. With a healthy work / life balance, leadership support, reduced private health cover, study leave, volunteering options and a commitment to promoting from within. Our employees can access wide range of benefits : from our own products (incl. health insurance discounts) to many other products and services via our partnerships program (like Apple, Samsung, JB Hi-Fi, plus gym and spa discounts to name a few). We reward our people and celebrate their success, provide initiatives that develop careers and look after our people’s health, wellbeing, and futures. Qualifications As a Senior Data Scientist, you’ll demonstrate advanced skills in data science, analytics or data engineering with desired experience in a Healthcare industry or insurance setting and a curiosity for solving problems through data. Technical Skills Advanced skills in statistical programming languages - SQL, SAS, R and / or Python for analyses Experience with data visualization tools (Tableau or Power BI) Proficiency and experience in statistical modelling and machine learning techniques (NLP, rule-based systems, feature engineering, regression, classification, segmentation, cross-validation, bootstrapping, Bayesian techniques etc.) Knowledge of advanced statistical techniques and concepts (properties of distributions, statistical hypothesis testing, experimental design) and experience applying these. Tertiary qualifications in a highly quantitative field (mathematics, statistics, computer science, machine learning) or equivalent demonstrated work experience Structured communication skills to interpret and convey information in a clear, concise way with stakeholders from technical and non-technical background by using data to tell a story Business acumen to develop partnerships with stakeholders engaging with curiosity to deepen your business knowledge to innovate ideas to address roadblocks and create opportunities About Bupa Asia Pacific Bupa is an international healthcare group which has been committed to a purpose of helping people live longer, healthier, happier lives and making a better world for more than 70 years. Bupa Asia Pacific operates in Australia, New Zealand, and Hong Kong, supporting about 6.5 million customers through a broad range of health and care services including health insurance, aged care, dental, medical, optical, and hearing services. Employing more than 20,000 people in the region, we believe that we can make a real difference to the lives of customers through our values, purpose, and the way that we deliver personalised care. #J-18808-Ljbffr