Machine Learning Engineer at Manulife

, Ohio, United States -

Full Time

Start Date

Immediate

Expiry Date

16 May, 26

Salary

167440.0

Posted On

15 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Pipelines, Productionizing, Data Science Solutions, Databases, Data Transformation, Analytics, Reporting, Model Effectiveness Measurement, Programming, Data Querying, Visualization Tools, SQL, Tableau, QlikView, PowerBI, Hadoop

Industry

Insurance

Description

We’re looking for an ML Engineer to support end‑to‑end data operations and analytics across key initiatives within our US Segment. In this role, you’ll own data pipelines, productionize data science solutions, build tables and databases, and work with a variety of internal and external partners to understand, acquire, and transform complex datasets. You’ll contribute to analytics and reporting for projects of moderate scope, generate actionable insights, and translate technical findings into clear business language. You’ll also help measure model effectiveness, mentor junior team members, and leverage your strong understanding of programming, data querying, and visualization tools. This position is ideal for someone who is curious, collaborative, and able to connect data across diverse systems while supporting solutions that drive broader business strategy. Position Responsibilities: Support data operations lifecycle of AA projects - Input into the approach and Owns and manages assigned tasks. Develops and implements ad-hoc and business analytics and reporting on projects of moderate scope Own data pipeline and productionizing Identify and gain access to sources of data with limited assistance from senior team members. Work with internal and external team members to understand the data; present findings to the team. Document the acquired data via standard team templates; present findings to the team Create appropriate tables and DBs Work with internal and external team members to code DS's solution in production system, coach junior team members. Acquire data to measure effectiveness of the solution, present findings to internal and external peers, with guidance from senior team members. 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 Strong ability to extract, transform and stage data for consumption by the data scientist leveraging data querying tools Provides analysis on datasets of significant complexity. Quickly able to develop enough business insight to connect data sources across multiple diverse and complicated systems. Communicates business analytics of moderate complexity to more senior team members and junior business partners Works closely with subject matter experts to understand data sources. Has intimate understanding of the business value chain and customer lifecycle for the projects they are supporting. Has fundamental understanding of the business as a whole. Curious and asks the right kinds of questions of peers and customers to gain knowledge. Establishes an internal network and leverages the network of more senior data analysts. Provides guidance and mentorship to more junior team members Owns their career development. Takes advantage of available resources to advance their technical and business skills. Understands how their project supports broader business strategy, including the core drivers of business value Required Qualifications: Minimum of 2 years of applicable experience Advanced knowledge of programming languages and concepts (g. Java, Sequel, C, SAS, SPSS, R (different modules) or Python) Advanced knowledge of data visualization tools such as Tableau, QlikView, PowerBI Advanced knowledge of data transformation to support BI Reporting Advanced knowledge of common database querying languages such as SQL. Minimum Bachelor’s degree in Math, Computer Science, or Engineering; or Bachelor’s degree with equivalent technical experience Preferred Qualifications: 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 ( data vaulting techniques, rules tables). Advanced knowledge in distributed computing - Hadoop/ NoSQL/unstructured data Basic understanding of different techniques and knowledge of machine learning algorithms. Basic knowledge of AI toolkits. Familiarity with basic statistical tests, distributions, maximum likelihood estimators, statistical modelling techniques (regression, cluster / factor / principle components, decision tree, survival analysis, etc.) When you join our team: We’ll empower you to learn and grow the career you want. We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words. As part of our global team, we’ll support you in shaping the future you want to see. #LI-Hybrid 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. Referenced Salary Location Boston, Massachusetts Working Arrangement Hybrid Salary range is expected to be between $90,160.00 USD - $167,440.00 USD If you are applying for this role outside of the primary location, please contact recruitment@manulife.com for the salary range for your location. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. Manulife/John Hancock offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension/401(k) savings plans and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in the U.S. includes up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time (or more where required by law) each year, and we offer the full range of statutory leaves of absence. Know Your Rights I Family & Medical Leave I Employee Polygraph Protection I Right to Work I E-Verify Company: John Hancock Life Insurance Company (U.S.A.)

Responsibilities

The Machine Learning Engineer will support end-to-end data operations, owning data pipelines, productionizing data science solutions, and building necessary tables and databases for US Segment initiatives. Responsibilities also include contributing to analytics, generating actionable insights, translating technical findings to business language, and mentoring junior team members.