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Data Scientist

Remote:

Full Remote

Contract:

Full time

Experience:

Mid-level (2-5 years)

Work from:

Philippines

Offer summary

Qualifications:

Advanced degree in Statistics, Math, Computer Science, or Engineering, At least two years of relevant experience, Proficient in programming languages (e.g., SAS, R, Python), Knowledge of statistical tests and data visualization tools, Strong working knowledge of database models.

Key responsabilities:

Develop analytics solutions to improve business processes
Manage projects of moderate scope and complexity
Generate actionable insights from data analysis
Translate data findings into business recommendations
Communicate complex results to stakeholders

Manulife Insurance XLarge http://www.manulife.com/

10001 Employees

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Job description

Are you looking for a supportive and collaborative workplace with great benefits and clear career development? You’ve come to the right place.

Why choose Manulife?

Competitive Salary packages and performance bonuses
Day 1 HMO + FREE coverage for your dependents (inclusive of same-sex partners)
Retirement savings benefit
Rewarding culture that values wellness and well-being
Performance Bonus
Global network of industry experts
Extensive training resources

Job Description:

We’re looking for a DATA SCIENTIST to join our Advanced Analytics and Insights (AAI) team at MBPS. In this role, you are expected to develop and implement analytics enabled solutions to improve business process and generate relevant and actionable insights based on iterative data analysis, translate data-driven output into business language, and to make appropriate recommendations to respective business stakeholders

Have the skills and knowledge for the job? Learn more about the opening below!

Key Responsibilities:

Develops and implements analytics enabled solutions to improve business process, to generate insights, support business goals and strategy development.
Owns and delivers complete projects of moderate scope and manages assigned tasks on more complex projects.
Works on problems of moderate scope / complexity where analysis of situations or data requires a review of a variety of factors
Ability to generate relevant, actionable insights based on iterative data analysis, translate data-driven output into business language, and to make appropriate recommendations to respective business stakeholders
Provides analysis on datasets of significant complexity. (may require guidance from senior team members) Quickly able to develop enough business insight to connect data sources across multiple diverse and complicated systems.
Communicates results of cases of moderate complexity to business partners and recommends solutions to more senior data scientists.

Qualifications:

Education: Advanced degree in Statistics, Math, Computer Science, or Engineering; or Bachelor’s degree with equivalent technical experience.
Experience: At least two years of relevant experience
Hybrid Work Arrangement: Amenability and readiness to work onsite and from home anytime (dependent on business need AND/OR current external environment/situation - 3x a week onsite and 2x a week work from home).

Minimum Skills to Hire/Must Haves:

Advanced degree in Statistics, Math, Computer Science, or Engineering; or Bachelor’s degree with equivalent technical experience.
Generally, a minimum of 2 years of applicable experience. Advanced knowledge of programming languages and concepts (e.g. SAS, SPSS, R (different modules) or Python).
Familiarity and working knowledge of basic and advanced statistical tests, distributions, maximum likelihood estimators, statistical modelling techniques (regression, cluster / factor / principle components, decision tree, survival analysis, etc.)
Working knowledge of different techniques and knowledge of machine learning algorithms.
Basic knowledge of AI toolkits.
Advanced knowledge of data visualization tools such as Tableau, QlikView, open source data visualization libraries - ggplot and d3.js
Advanced knowledge of common database querying languages such as SQL.
Capability of applying a systematic, structured approach to explore / navigate / mine massive amount of data, structured or un-structured, to uncover hidden patterns / insights.
Strong working knowledge of relational database models (e.g. data vaulting techniques, rules tables).

Let's make every day better together. Learn about our opportunities at JOBS.MANULIFE.COM

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact recruitment@manulife.com.

Working Arrangement

Hybrid