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Senior Data Scientist

Sun Life Financial

This is a Contract position in Toronto, ON posted December 24, 2020.

You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You’ll work with dynamic colleagues – experts in their fields – who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you’ll have new and exciting opportunities to make life brighter for our Clients – who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

Job Description:

Role Summary:

Canadian Operations is a diverse group of teams – each committed to creating exceptional experiences for our clients. Without a doubt, our clients lie at the forefront of everything we do.  We partner closely with each Canadian business unit to deliver the most efficient and effective customer service through training, process improvements, and technology optimization. With over 3,000 employees, our team members work in offices across Canada, including Montreal, Ottawa, Toronto and Waterloo. We also partner with our Sun Life team members in the Asia Service Centre offices in India and the Philippines to deliver exceptional customer service.

As part of the BEAM (Business Excellence AI and Machine learning) team, the Senior Data Scientist will develop data science solutions for specific use cases identified in collaboration with other Operations teams. They will apply advanced machine learning and AI techniques to business problems, working closely with other data scientists and business partners. This role will report to the AVP, Data Science Strategy & Initiatives.

To be considered for this position, you are required to complete two steps in the application process. You will need to submit an online job application and complete an online assessment.

What will you do?

Play an active role in agile problem solving initiatives, collaborating within a cross-functional team of specialists:

  • Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.

  • Build and maintain strong working relationships with Operations teams and other BUs to ensure successful delivery of initiatives.

  • Research and source relevant data from internal business systems, external free and commercial data products

  • Apply machine learning and deep learning techniques to extract insights from available data

  • Extract actionable insights from unstructured datasets using advanced machine learning methods.

  • Use statistical methods to test findings through prototyping and scenario testing

  • Leverage business knowledge and judgement to prioritize approaches with a material financial impact

  • Establish model monitoring metrics and performance reporting format as appropriate to each use case

  • Collaborate with implementation teams to operationalize successful use cases

  • Make business recommendations with effective presentations of findings at multiple levels of stakeholders.

What do you need to succeed?

  • University degree in math, computer science, or other relevant fields. Graduate degrees preferred.

  • 5+ years hands-on experience developing data science solutions in Python or R

  • Extensive knowledge of machine learning and deep learning tools and concepts such as autoencoders for outlier detection, sequence models, Shapley values, etc

  • Experience querying and manipulating data from relational databases and other data warehouse structures

  • Ability to maintain momentum on multiple projects in parallel and manage fluctuating deadlines and priorities

  • Demonstrated collaboration skills working in a team environment across multiple sites and multiple business units

Unique Requirements

The candidate selected for this role is required to have special clearance from the Royal Canadian Mounted Police. To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (http://iss-ssi.pwgsc-tpsgc.gc.ca/msi-ism/ch2-prt1-eng.html) ​

What is in it for you?

  • Competitive salary and bonus structure influenced by market range data

  • Entitlement to flexible benefits and 4 weeks vacation

  • A friendly, collaborative and inclusive culture

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

Interested in applying? Submit a job application by clicking “Apply” and complete an online assessment within 24 hours of submitting your job application using the link below.

Click on this link: https://apply.careerspark.com/j/xv9v0D6Jie36/l/JVxGM3OtFygF

to complete the online assessment after you submit your application. You will need to register with our partner Career Spark, using the same e-mail address used for your job application. If you complete this assessment before submitting your job application then you must return to this job posting again to complete your online job application by clicking “Apply”.

When a new position becomes available which matches your background and experience, the base pay range will be disclosed and correspond to the opportunity Sun Life will consider you for.

In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

Job Category:

Advanced Analytics

Posting End Date:

17/01/2021