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.
Within Sun Life Canada, the Canadian Analytics Centre of Excellence (COE) was launched to support Canadian business units in their journey to leverage data and analytics as a foundational pillar in delivering business value.
Reporting to the Director, Analytics Consulting Services as a Senior Data Scientist you will focus on supporting Canadian business units in accelerating the growth and application of analytics in driving value. The senior data scientist will leverage practical experience in applying varied data science techniques & offering advice/inputs to help with the design, development and implementation of analytics use cases.
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); 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, machine learning, deep learning and AI techniques from the design to implementation that impacts the business.
Focus on Feature Engineering, Model Training and Model Evaluation in addition to data munging / wrangling
Identify the right algorithms and statistical techniques for a specific project as well as the best features for a model. Advise junior members on the same.
Make business recommendations with effective presentations of findings at multiple levels of stakeholders
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?
2+ years experience in developing and implementing data science techniques (predictive, prescriptive, ML etc.)
Comfortable writing complex SQL queries to extract and integrate data from multiple database sources
Proficient in using one or more statistical programming languages (i.e., Python) for data science
Big Data Technologies: Hadoop, HDFS, Hive, HBase, Storm, Spark, Kafka
Experience with deep learning methodologies either in practice or in academia
Effective and concise oral and written storytelling and insights communication skills
Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities
Ability to document work and effectively prioritize documentation
BSc/M.S. in a statistical, mathematical, or technical field (i.e., computer science) or equivalent experience
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)
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'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
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
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 email@example.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.
We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.
73,800/73 800 - 124,100/124 100
Posting End Date: