Data Scientist

**Aon is looking for a Data Scientist, Aon Life Solutions** **Role Type: New position** You will join a premier team and support client success by crafting and implementing sophisticated Reinforcement Learning (RL) and neural network solutions. These will be coordinated into Aon’s PathWise™ platform within the Strategy and Technology Group (STG) of Aon Reinsurance in Toronto, Ontario. As a Data Scientist, you will report directly to the Director, Consulting. **Applicants must be legally authorized to work in Canada. This role is not eligible for sponsorship, and we are unable to sponsor or take over sponsorship of an employment visa or work permit.** The salary range for this position is CAD $74,500 – CAD $96,000\. The actual salary will vary based on applicant’s education, experience, skills and abilities, as well as internal equity. The salary may also be adjusted based on applicant’s geographic location. Aon also offers you a generous incentive earning opportunity and a comprehensive benefits package. **Aon is in the business of better decisions** At Aon, we shape decisions for the better to protect and enrich the lives of people around the world. As an organization, we are united through trust as one inclusive team and we are passionate about helping our colleagues and clients succeed. **What The Day Will Look Like** RL/DL Research and Development * Design, develop, and test Reinforcement Learning and Deep Learning models to support dynamic, multi‑period investment optimization (ALM/SAA) within PathWise. * Explore and prototype additional AI use cases such as dynamic pricing, lapse and surrender prediction, and fraud detection aligned with Aon Life Solutions priorities. * Evaluate and compare different RL and DL algorithms and packages (e.g., policy gradient methods, actor–critic approaches, deep neural networks) for performance, stability, and scalability on GPU infrastructure. * Embed RL/DL capabilities as a standardized, extensible framework within the PathWise ecosystem. Analytics, Validation and Explainability * Conduct meticulous back testing, scenario analysis, and sensitivity analysis to validate model performance under a range of economic and policyholder behaviour scenarios. * Develop and apply explainability tools (e.g., Shapely\-based methods, feature importance, scenario attribution) to help internal and external partners understand and trust model outputs. * Partner with actuarial, investment, and risk management colleagues to translate business requirements into quantitative modelling problems and practical AI solutions. * Document modelling assumptions, methodologies, and limitations in a way that supports both technical review and client communication. Collaboration, Training and Thought Leadership * Support the generation of user documentation, internal training materials, and client\-facing whitepapers on RL/DL applications in insurance, pensions, and risk oversight. * Participate in internal and external research projects, including potential academic collaborations, conference presentations, and publications. * Provide input into demonstrations of sophisticated analytics capabilities for prospects and existing clients, showcasing the value of RL/DL on PathWise. * Stay ahead of with developments in RL, DL, and (where applicable) quantum computing to find opportunities for innovation and future roadmap items. **How This Opportunity Is Different** STG provides high efficiency computing software, consulting services as well as advisory services to financial intermediaries, primarily insurance companies. STG’s high\-performance software platform, PathWise™, provides companies with the ability to easily model financial obligations without involved coding and is run on Graphical Processing Units (GPU), making it the fastest, readily available software platform currently in use in the insurance industry. By embedding a standardized RL/DL framework directly into PathWise, this role will help expand the platform. It will move the platform from traditional grid\-search\-based approaches to adaptive, computer\-based optimization and prediction. You will be at the forefront of bringing advanced machine learning techniques to complex financial and actuarial challenges at scale. **Skills And Experience That Will Lead To Success** Technical and Domain Skills * 2\+ years of experience in data science or applied machine learning (RL/DL experience strongly preferred), ideally in financial services, insurance, pensions, or a related quantitative field. * Hands‑on experience with Reinforcement Learning and/or Deep Learning frameworks (e.g., PyTorch, TensorFlow, or similar). * Strong programming skills in Python, including experience with numerical and data libraries (e.g., NumPy, pandas, SciPy). * Experience with time series, stochastic modelling, or Monte Carlo simulation, ideally in an asset liability management (ALM) or risk modelling context. * Understanding of core concepts in finance and insurance such as ALM, portfolio optimization, risk measures, and policyholder behaviour is an asset. **Nice‑to‑Have / Preferred** * Exposure to or interest in quantum computing (e.g., quantum algorithms for optimization, quantum machine learning, or quantum‑ready problem formulations). This is advantageous but not required. * Experience with model explainability (e.g., SHAP, LIME, feature attribution) and communicating sophisticated model behaviour to non‑technical partners. * Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and GPU‑accelerated computing is a plus. * Experience working with actuarial teams or on use cases such as pricing, lapse/surrender modelling, or fraud/anomaly detection. **Education And Professional Qualifications** * Graduate degree in a quantitative field such as Computer Science, Statistics, Applied Mathematics, Operations Research, or a related field preferred Personal Attributes * Strong analytical and problem‑solving skills with a proven ability to design and implement complex modelling projects. * Clear and confident communication skills, with the ability to translate technical concepts into practical recommendations for business stakeholders and clients. * Collaborative attitude with a desire to work in multi\-functional teams spanning actuarial, investment, software engineering, and sales. * Curiosity, creativity, and an aim to experiment with new insights and technologies in a structured, well\-adapted way. **How We Support Our Colleagues** In addition to our comprehensive benefits package, we encourage an inclusive workforce. Plus, our agile environment allows you to manage your wellbeing and work/life balance, ensuring you can be your best self at Aon. Furthermore, all colleagues enjoy two “Global Wellbeing Days” each year, encouraging you to take time to focus on yourself. We offer a variety of working style solutions for our colleagues as well. Our continuous learning culture inspires and equips you to learn, share and grow, helping you achieve your fullest potential. As a result, at Aon, you are more connected, more relevant, and more valued. Aon values an innovative and inclusive workplace where all colleagues feel empowered to be their authentic selves. Aon is proud to be an equal opportunity workplace. We are committed to providing equal employment opportunities and fostering an inclusive workplace. If you require accommodations during the application or interview process, please let us know. You can request accommodations by emailing us at ReasonableAccommodations@Aon.com or your recruiter. We will work with you to meet your needs and ensure a fair and equitable experience. **Aon is not accepting unsolicited resumes from search firms for this position. If you are a search firm, you will not be compensated in any way for your submission of a candidate, even if Aon hires that candidate.** 2577681