City : Toronto

Category : Full-time

Industry : Finance

Employer : Sun Life Financial

Vous êtes unique, comme le sont votre parcours, votre expérience et votre façon de voir les choses. Ici, on vous encourage et on vous motive à donner le meilleur de vous-même, et on vous donne les moyens de le faire. Vous travaillerez avec des collègues dynamiques – experts dans leur domaine – qui sont impatients de partager leurs connaissances avec vous. Vous aurez des gestionnaires inspirants qui vous aideront à développer votre potentiel et à atteindre de nouveaux sommets. Chaque jour, vous aurez de nouvelles occasions de rendre la vie de nos Clients plus radieuse – ils sont au cœur de tout ce que nous faisons. Découvrez comment vous pouvez faire une différence dans la vie des gens, des familles, des collectivités – ici et partout dans le monde.

Description de poste:

Role Summary

To support the vision of helping Canadians live healthier lives, Sun Life Health brings together Sun Life’s Group Benefits and Health Ecosystem businesses, including Lumino Health (an innovative platform launched in 2018). By uniting these two groups, Sun Life Health can deliver on transformative health solutions for both Clients and Canadians. If you’re passionate about improving health for Canadians, and like to take on big challenges in a supportive environment, the Data Science & Analytics (DSA) team in Sun Life Health is the right fit.

The DSA team is responsible for:

• Being the analytics translators to identify  and deliver high-impact data science use cases

• Building dashboards and reports to monitor progress and help extract valuable insights from vast amounts of data

• Partnering with other Analytics/IT groups to leverage expertise of Data Engineers/Developers to explore and solve complex business problems

• Supporting various teams within Sun Life Health to leverage best practices associated with data management and develop processes that support data driven decision making

The Senior Data Scientist’s primary focus is to collaborate closely with the health product and strategy team to launch and test new ideas and solutions to generate innovation within Sun Life’s Health Ecosystem, and to identify data science use cases, create the project execution plan and to drive the project through its life cycle.   As part of this life cycle, you will create/maintain data models, provide expertise in data interpretation to support strategic decision making, and leverage analytical skills to highlight trends and insights from data. You will also be responsible for feasibility study of use cases for production at scale and automation.

What Will You Do?

• Identify potential data science/machine learning opportunities, create and execute end-to-end plan for implementation and delivery

  • Work closely with health product and strategy team to define use case and scope

  • Identify appropriate data sources relevant to the modeling application

  • Create data pipeline for extracting the data into AWS S3

  • Perform data preprocessing to ensure data quality

  • Apply feature engineering principles to create feature space

  • Create labels if known and appropriate to the problem at hand

  • Apply machine learning models to identify model with best performance

  • Perform cross validation and hyper parameter tuning to optimize model performance

  • Prepare model for deployment

  • Monitor deployed model for data and model drift

• Participate in the technical design, development, and testing of models/analysis and in the creation of user documentation and processes

• Create and maintain ETL processes and automated dashboards that can be leveraged to find insights

• Develop and present reporting solutions to key stakeholders and partners

• Learn about business processes to analyze, interpret, and advise managers on analytical findings

• Collaborate with stakeholders to ensure effective use of reporting and analysis, and provide support if needed

• Understand and incorporate technology best practices with a primary focus on Tableau and Python

• Diligently perform quality assurance and risk assessment guidelines to minimize operational, reputation, and legal risk

What Do You Need To Succeed?

• Coding experience preferably in Python (minimum 3 years)

• Experience with developing machine learning, statistical and optimization models and creating/maintaining visualizations and dashboards in Tableau (minimum 2 years)

• Experience in healthcare and familiarity with health data (1 year)

• Familiar with data science project life cycle

• Technical mindset with a degree in Computer Science, Statistics, Mathematics, Engineering, or other data science related fields, and 3-5 years of relevant experience. A graduate degree would be an asset, a combination of education and work experience will also be considered.

• Strong problem solving and analytical skills

• Demonstrated ability to produce meaningful results from data

• Proven experience consolidating and analyzing data sources

• Excellent written and verbal communication skills with experience in relaying complex concepts to non-technical users

• Comfortable learning new applications quickly with minimal direction

• Proven ability to work collaboratively within a cross functional team environment

• Ability to succeed in a dynamic, fast-paced environment, and quickly find alternative solutions to business and data challenges

• Attention to detail and in-depth planning, organizational and time management skills

• Experience working with relational databases and creating data models with efficient design

• Experience with AWS SageMaker would be an asset.

Unique Requirements

• The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

• To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

What's In It For You?

• Competitive salary and bonus structure influenced by market range data

• 20 days vacation per year and an innovative sabbatical program

• Great Place to Work® Certified in Canada and the US - 2022

• Great Place to Work® award for Best Workplaces for #HybridWork - 2022

• Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer.  #LI-Hybrid   #LI-Remote

• A friendly, collaborative and inclusive culture

• Being part of our Analytics community, where we share best practices and broaden skill-sets

• Flexible Benefits from the day you join to meet the needs of you and your family

• Pension, stock and savings programs to help build and enhance your future financial security

• Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

L’échelle du salaire de base est pour l’emplacement principal du poste affiché. Elle peut varier selon l’emplacement du candidat sélectionné et d’autres facteurs. En plus du salaire de base, les employés admissibles de la Financière Sun Life participent à différents programmes de rémunération incitative, dont le montant octroyé est discrétionnaire et dépend du rendement de l’employé et de la compagnie. Certains postes de vente participent à des programmes de rémunération incitative basés sur les résultats de vente individuels ou de groupe. 

Depuis toujours, la diversité et l'intégration sont au cœur des valeurs de la Financière Sun Life. Nous croyons qu'un effectif diversifié ayant des points de vue variés et des idées créatives est avantageux pour nos clients, pour les collectivités où nous exerçons nos activités, ainsi que pour nous tous, en tant que collègues. Nous accueillons avec enthousiasme les candidatures de personnes compétentes provenant de tous les horizons.

Les personnes handicapées ayant besoin de mesures d'adaptation pour présenter leur candidature et celles qui doivent consulter les offres d'emploi sur un support de substitution peuvent envoyer leur demande par courriel à l'adresse ‘thebrightside@sunlife.com’.

À la Sun Life, nous voulons créer un environnement de travail flexible où nos employés sont outillés pour donner le meilleur d’eux-mêmes. Nous offrons plusieurs options de travail flexibles selon les exigences du poste et les besoins individuels. N’hésitez pas à en discuter pendant le processus de sélection.

Nous remercions tous les candidats de l'intérêt manifesté pour ce poste. Nous ne communiquerons qu'avec les personnes qui auront été retenues pour passer une entrevue.

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