Senior Data Science Advisor

Desjardins; Toronto; On-site; CAD 110,000 - 170,000; Full time

Benefits offered by this job

Competitive salary

4 weeks vacation

Defined benefit pension

Group insurance including telemedicine

Health and wellness expense reimburse.

Telework equipment reimbursement

Job summary

Desjardins in Canada is seeking a senior data science advisor to provide data and modelling support for business decisions, focusing on claims management and complex analytics initiatives. You will collaborate with business partners to develop tailored models and actionable insights.

You will explore diverse data sources, lead initiatives, implement predictive models, and translate results into recommendations.

Qualifications

• Six+ years of actuarial or data science experience with predictive models and spatial analysis.
• Strong knowledge of Python or R and SQL/SAS for data manipulation.
• Ability to translate analytical findings into actionable recommendations for decision making.

Responsibilities

• Explore and assess structured and unstructured data sources for modelling datasets.
• Lead initiatives to develop models and optimizations for business needs.
• Use advanced analytics methods to build and refine predictive models and segments.
• Design analytical processes and tools to support data prep, evaluation and deployment.
• Translate findings into clear recommendations for strategic decisions across units.
• Draft modelling guidelines and provide training to support change management.
• Identify opportunities to improve data management tools and systems.

Skills

Python

R

SQL

Statistics

Machine Learning

Data Visualization

English proficiency

Communication

Project Leadership

Education

Bachelor's degree in statistics, mathematics, actuarial sciences or related field

Master's degree or PhD in a quantitative field

Tools

SAS

SQL

Job description

As a senior data science advisor, you provide the data needed to make business decisions, develop solutions and services adapted to business issues and operational process optimization research. You lead business partners on projects to develop models tailored to a wide range of business needs and on complex strategic initiatives related to advanced analytics and artificial intelligence. You help solve business issues with a high level of conceptual and operational complexity, particularly in the field of claims management, which necessitates the exploration of multiple data sources, as well as the ability to analyze and understand the property and casualty insurance industry in a comprehensive and detailed way. You interact with many colleagues, partners and clients from a wide range of fields to understand and communicate issues and influence decision making. More specifically, you will be required to:

• Explore and assess various structured and unstructured data sources, determine their relevance and quality and prepare enriched modelling datasets by leveraging statistical and actuarial expertise along with feature engineering techniques in connection with a broad range of complex predictive modelling initiatives
• Analyze client and partner business needs, generate hypotheses and lead initiatives, taking into account the specifics of their operationalization and ensuring coordination during the rollout
• Use advanced statistical, machine learning and artificial intelligence methods to use data, and develop and optimize models and segmentations that meet business needs
• Design, develop and implement analytical processes, scripts and reusable tools to support data preparation and analysis, as well as the development, evaluation, deployment, monitoring and maintenance of highly complex analytical models
• Translate analytical findings into clear, actionable recommendations to inform strategic decision-making and foster innovation across business units
• Draft modelling guidelines and methods, ensuring that the models will meet specifications and perform optimally. Help develop documentation and prepare and deliver training to support sound change management
• Identify opportunities to improve rules and systems, anticipate underlying impacts of changes and make improvements to data management tools

What we offer*

• Competitive salary and annual bonus
• 4 weeks of flexible vacation starting in the first year
• Defined benefit pension plan that provides predictable, stable income throughout retirement
• Group insurance including telemedicine
• Reimbursement of health and wellness expenses and telework equipment
• Benefits apply based on eligibility criteria.

What You Bring To The Table

• Bachelor’s degree in statistics, mathematics, actuarial sciences or a related field
• A minimum of six years of relevant experience in actuarial or data science, including the development of predictive models and spatial analysis
• Please note that other combinations of qualifications and relevant experience may be considered
• Academic specialization in a quantitative field (such as a certificate, master’s degree or PhD)
• Knowledge of French is required for positions in Quebec
• Advanced proficiency of English due to the nature of the duties or work tools or because the position involves interactions with English-speaking partners, members and/or clients
• Expertise in at least one data analytics programming language (Python or R) and one data manipulation language (SAS or SQL)
• Strong command of statistical approaches and machine learning methods, including regression, decision trees, ensemble learning techniques (for example, random forests and gradient boosting), clustering and neural networks
• Practical knowledge of leading data science libraries (machine learning, deep learning, natural language processing, spatial analyst, visualization)

Equity, Diversity, Inclusion and Accessibility

At Desjardins, we believe in equity, diversity and inclusion. We're committed to welcoming, respecting and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all. At Desjardins, we have zero tolerance for discrimination of any kind. We believe our teams should reflect the diversity of the members, clients and communities we serve.

If there's something we can do to help make the recruitment process or the job you're applying for more accessible, let us know. We can provide accommodations at any stage in the recruitment process. Just ask!

Job Family

Data (FG)

This position is actually vacant.

Desjardins uses tools that incorporate artificial intelligence functionalities to screen or assess applicants as part of the recruitment process for this position.

Action oriented, Complexity, Customer Focus, Differences, Innovation, Interpersonal Savvy, Nimble learning.