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Data Science / Advanced Analytics
Manulife Financial
Boston, MA, United States
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Job Description:
Are you looking for unlimited opportunities to develop and succeed? With work that challenges and makes a difference, within a flexible and supportive environment, we can help our customers achieve their dreams and aspirations.
Job Description
Data Science/Advanced Analytics Co-Op -Boston MA (January 2019 start)
“Data is the new oil and analytics is the new combustion engine”
At Manulife/John Hancock, our Advanced Analytics team works on the most meaningful of projects. The journey starts with identifying Business Opportunities that analytics offers solutions for. Our advanced analytics teams are comprised of members who focus on data engineering, data science and IS integration.
Do you want to help shape the future of analytics at John Hancock?Advanced Analytics team in retirement service planning business unit is looking for a motivated co-op student to join the group. In this role, you will be responsible of developing tools and templates to accelerate various phases of data construction, model development and model implementation. You will also work closely with experienced data scientist, data analyst and data engineer and be accountable for the exploration, preparation and validation of modeling data to support the development and implementation of major advanced analytics initiatives.
What you will be accountable for:
• Dataset construction involving both internal and external data sources
• Various data transformation and data exploration, including univariate, multiple variate analysis
• Live data catalogue maintenance
• Visualization development, including dashboard, scorecard and reports
• Accelerator creation to support data construction and model development
• Uni, bi-, multi-variate analysis
• Model development
• Application development
The skills and qualifications you will need to be successful:
• Organized and self-motivated
• Programming experience in R or Python
• Proficient with SQL, Excel
• Demonstrated ability to exchange ideas and convey complex information clearly and concisely
• Experience working in a corporate environment
• Programming in R, SAS, SQL, Python and other statistical software
• Strong Excel based model development
• VBA macros / automation
• Strong statistics / math background
• Computer Science background desirable
Masters and Ph.D. candidates are welcome and encouraged to apply
What you will learn:
Gain real-life experience on the use of machine learning techniques to solve business problems
The student experience we have to offer:
• Build a network of fellow students on coop/internship assignments
• Given the opportunity to volunteer and give back to the community
• Attend events on a monthly basis with guest speakers from various departments within our organization to further develop your skills as a professional.
• Learn about our culture and core values.
See what our students are saying about working at Manulife/John Hancock https://www.youtube.com/watch?v=no8ePgV532g
If you are ready to unleash your potential it’s time to start your career with Manulife/John Hancock.
About Manulife
Manulife Financial Corporation is a leading international financial services group that helps people achieve their dreams and aspirations by putting customers' needs first and providing the right advice and solutions. We operate as John Hancock in the United States and Manulife elsewhere. We provide financial advice, insurance, as well as wealth and asset management solutions for individuals, groups and institutions. At the end of 2016, we had approximately 35,000 employees, 70,000 agents, and thousands of distribution partners, serving more than 22 million customers. At the end of 2016, we had $977 billion (US$728 billion) in assets under management and administration, and in the previous 12 months we made almost $26 billion in payments to our customers.
Our principal operations are in Asia, Canada and the United States where we have served customers for more than 100 years. With our global headquarters in Toronto, Canada, we trade as 'MFC' on the Toronto, New York, and the Philippine stock exchanges and under '945' in Hong Kong.
Manulife is committed to supporting a culture of diversity and accessibility across the organization. It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will consult with applicants contacted to participate at any stage of the recruitment process who request an accommodation. Information received regarding the accommodation needs of applicants will be addressed confidentially.