Data Scientist

Conteúdo do emprego

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 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 Director, Data Science.

Sun Life views success in this role in demonstration of these key attributes:

Fierce curiosity. You are drawn to discovering and leveraging new data and taking on challenging business puzzles. An inquisitive mind. Driven to ask questions to help lead projects to commercial value and not being afraid that the innovation attempts can and will lead to failing. A passion for solving problems. The most successful data scientists’ solution for what the right data to use, they solve using the most suitable (not most advanced) algorithms for the problem at hand and figure out how to execute and deliver with highest efficiency. Technical skills in both data and computer science. There are 3 core technical skills we look for: in-depth coding knowledge of an analytical tool(s) (i.e., Python, R, C/C++); data science techniques and concepts; working with structured data (SQL). Thirst for learning. You are a data scientist who is constantly updating their knowledge of data science state-of-the-art.

What will you do?

• Apply best in breed data science including descriptive, predictive, prescriptive, and machine learning techniques from the design to implementation that impacts the business.
• Conduct end-to-end analysis that includes data gathering and requirement specification, processing, analysis, ongoing deliverables, and presentations.
• Research and source relevant data from internal business systems, external free and commercial data products.
• Focus on Feature Engineering, Model Training, and Model Evaluation in addition to data munging / wrangling.
• Apply machine learning and deep learning techniques to extract insights from available data.
• Extract actionable insights from structured and unstructured datasets using advanced machine learning methods.
• Use statistical methods to test findings through prototyping and scenario testing.
• Establish model monitoring metrics and performance reporting format as appropriate to each use case.
• Collaborate with implementation teams to operationalize successful use cases.
• An active contributing member to the analytics community to help foster and grow the data science community at Sun Life.
• Champion and support diversity and inclusion.
  
  

What will you need to succeed?

• University degree in Mathematics, Statistics, Computer Science, Engineering, or other relevant fields.
• Minimum of 2 years experience developing and implementing data science solutions in one or more statistical programming languages (i.e., Python, R, Scala, C/C++).
• 2 years experience experience with machine learning including supervised and unsupervised models.
• Demonstrated experience in data transformation & data manipulation.
• Experience working with Structured and Unstructured data.
• Experience querying and manipulating data from relational databases and other data warehouse structures.
• Effective and concise oral and written storytelling and insights communication skills.
• Ability to document work and effectively prioritize documentation.
• Ability to maintain momentum on multiple projects in parallel while managing fluctuating deadlines and priorities.
• Demonstrated collaboration skills working in a team environment across multiple sites and multiple business units.
  
  

What will be nice to have?

• Past experience in life insurance / wealth management, or other financial services industry (e.g., retail banking, credit card, property and casualty insurance).
• Experience with AWS services (i.e., SageMaker, EC2).
• Experience with Big Data Technologies: Hadoop, HDFS, Hive, HBase, Spark.
  
  

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 information on Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

What’s in it for you?

• Great Place to Work® Certified in Canada and the US
• Named 2021 “Best Places to Work” by Glassdoor
• Canada Award for Excellence for Mental Health at Work - 2021
• Flexible hybrid / remote work environment
• 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
  
  

The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. 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.

At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

Sun Life is committed to the health and safety of all those in our workplaces and our communities. In accordance with Sun Life’s Vaccination Policy (Canada):

• Employees permitted to work remotely are required to be fully vaccinated against COVID-19 in order to attend a Sun Life office, Financial Centre or offsite location where activity related to Sun Life business occurs.
• Employees whose job duties require them to attend a Sun Life office, Financial Centre or offsite location for Sun Life business must be fully vaccinated against COVID-19 effective May 1st.
• Employees whose regular workplace is a Financial Centre and SLFD field leaders must be fully vaccinated against COVID-19 or participate in Sun Life’s Rapid Screening Program to attend a Financial Centre or an offsite event.
  
  

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

Salary Range:

56,300/56 300 - 92,900/92 900

Job Category:

Advanced Analytics

Posting End Date:

27/05/2022