Senior Data Scientist (People Analytics)

Company:  Manulife Insurance Malaysia
Location: Old Toronto
Closing Date: 04/12/2024
Salary: £100 - £125 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description
Senior Data Scientist (People Analytics)The OpportunityWe are seeking a hardworking Senior Data Scientist to join our People Analytics team and play a key role in shaping the future of our HR & Communications (HRC) data strategy. We are looking for someone to work with partners across the organization to understand high-impact people opportunities and apply sophisticated analytics techniques to derive insights and build data solutions. The ideal candidate would have strong technical skills and be passionate about applying AI/ML models to deliver value to the organization. Lastly, we are looking for an experienced candidate who can provide technical leadership in the team. This role will be an excellent opportunity to drive data solutions for partners across HRC and the business.ResponsibilitiesAnalyze large data sets using the latest available technologies and statistical methodologies to discover insights in data.Prepare data for predictive modeling, applying ML models, and building algorithms to solve key business problems and drive business value.Implement model evaluation techniques, communicate results to team members, and measure the performance of predictions.Partner with team members across Human Resources on people projects to understand key issues and the related business questions and hypotheses.Stay up-to-date with the latest trends and technologies in the field of data science and share knowledge with the team.Communicate results of analyses and relevant implications to both technical and non-technical partners.How will you create impact?Reporting to the Director, People Analytics you will have the opportunity to drive the data strategy for the People Analytics team. We are looking for someone who is interested in joining a team where they can feel the direct impact of their work on teammates and consumers of the data.What motivates you?You obsess about customers, listen, engage and act for their benefit.You think big, with curiosity to discover ways to use your agile approach and enable business outcomes.You thrive in teams and enjoy getting things done together.You take ownership and build solutions, focusing on what matters.You do what is right, work with integrity and speak up.You share your humanity, helping us build a diverse and inclusive work environment for everyone.What we are looking forAdvanced degree in a quantitative field (Computer Science, Data Science, Math, Statistics, etc.).Experience with multivariate statistical methods, classification, dimension reduction, clustering, etc.Proficient in programming languages (Python, R), relational databases (SQL) and large-scale distributed systems (Hadoop, Spark).Experience in training machine learning models with both structured and unstructured data in big data pipelines (Azure or others).Experience in developing and running pilot tests and knowledge of design methodologies to perform research.Familiarity with HR systems like Workday or other HR management platforms is a plus.What can we offer you?A bold ambition and set of goals to drive transformation in our industry.A leadership team dedicated to your growth and success.Our best, everyday.Our commitment to youValues-first culture: We lead with our Values every day and bring them to life together.Boundless opportunity: We create opportunities to learn and grow at every stage of your career.Continuous innovation: We invite you to help redefine the future of financial services.Delivering the promise of Diversity, Equity and Inclusion: We foster an inclusive workplace where everyone thrives.Championing Corporate Citizenship: We build a business that benefits all partners and has a positive social and environmental impact.Location: Toronto, OntarioWork Arrangement: HybridSalary Range: $92,190.00 CAD - $171,210.00 CAD #J-18808-Ljbffr
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Manulife Insurance Malaysia
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