{"id":161459,"url":"https://alion.io/job/manulife-data-scientist-hybrid","title":"Data Scientist - Hybrid","company":{"id":6650,"name":"Manulife","domain":"manulife.com","url":"https://alion.io/company/manulife","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":99,"open_postings":117,"ghost_share":0,"stale_share":0.222,"repost_share":0.06,"time_to_fill_p50_days":18,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Boston, United States","Toronto, Canada"],"countries":["US","CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":86000,"max_usd":184000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":327},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"AI Agents","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Databricks","optional":true},{"name":"Embeddings","optional":true},{"name":"Git","optional":true},{"name":"Keras","optional":true},{"name":"LangChain","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"NLP","optional":true},{"name":"NLTK","optional":true},{"name":"Pandas","optional":true},{"name":"Scikit-learn","optional":true},{"name":"Semantic Kernel","optional":true},{"name":"Sentiment Analysis","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-08-28T00:00:00Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-18T07:10:18Z","board_verified":true,"closed_at":null,"days_open":51,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":51},"description":"This is a great opportunity to attract AI and GenAI talent in a highly competitive market. The key is to focus on the business impact, cutting-edge technology, and career growth opportunities rather than simply listing responsibilities.\nData Scientist, AI & Generative AI\nJohn Hancock | Boston, MA / Toronto, ON\nShape the Future of AI in Insurance\nAt John Hancock, we're transforming the way people buy, manage, and benefit from life insurance. Our AI team is at the forefront of this journey, leveraging Artificial Intelligence and Generative AI to simplify customer experiences, optimize sales and marketing, strengthen fraud detection, and modernize operations.\nAs a Data Scientist, AI & Generative AI, you'll work on high-impact initiatives that directly influence business outcomes across our U.S. Insurance business. You'll collaborate with business leaders, technology teams, and a global network of over 160 data scientists across John Hancock and Manulife, giving you exposure to world-class expertise and innovative AI applications.\nIf you're passionate about building production-grade AI solutions, experimenting with emerging GenAI technologies, and solving complex business problems, we'd love to hear from you.\nWhat You'll Do\nAs a member of our growing AI team, you will:\nDesign, develop, and deploy AI and Generative AI solutions that address real business challenges.\nBuild and operationalize machine learning and large language model (LLM) solutions from concept through production.\nPartner with business stakeholders to identify opportunities, gather requirements, formulate hypotheses, and deliver measurable outcomes.\nDevelop proof-of-concepts, pilot programs, and enterprise-scale AI applications.\nImplement prompt engineering strategies, retrieval-augmented generation (RAG) patterns, and modern AI architectures.\nGenerate business insights through data exploration, experimentation, and advanced analytics.\nBuild scalable data pipelines and AI workflows that support production environments.\nMonitor, evaluate, and continuously improve model performance and solution effectiveness.\nCommunicate analytical findings and technical concepts to both technical and non-technical audiences.\nStay current with emerging trends in AI, GenAI, machine learning, and cloud technologies.\nWhat You'll Bring\nRequired Qualifications\nMaster's or PhD degree in Statistics, Applied Mathematics, Data Science, Computer Science, Engineering, Physics, or a related quantitative field.\n2+ years of industry experience developing and deploying AI and Generative AI solutions.\nStrong programming skills in Python and SQL.\nExperience designing and executing data science experiments and machine learning projects.\nAbility to translate business problems into scalable AI solutions.\nPreferred Qualifications\nExperience with Python libraries such as Pandas, Scikit-learn, Keras, NLTK, and similar tools.\nHands-on experience with LLM development frameworks such as LangChain and Semantic Kernel.\nKnowledge of relational and non-relational databases (SQL and NoSQL).\nExperience developing NLP solutions such as:Document Classification\nEntity Extraction\nRelationship Extraction\nSentiment Analysis\n\nUnderstanding of:Vector databases and embeddings\nPrompt engineering\nRetrieval-Augmented Generation (RAG)\nAgentic AI and multi-agent systems\n\nStrong machine learning and deep learning expertise, including supervised and unsupervised techniques.\nExperience with cloud-based AI development, preferably in Microsoft Azure and Databricks environments.\nFamiliarity with MLOps practices, CI/CD pipelines, automated testing, Git version control, and production deployment.\nExperience in fraud prevention, deepfake detection, healthcare analytics, EHR data, or medical terminology is an asset.\nExcellent communication and stakeholder management skills.\nWhy Join John Hancock?\nWork on Meaningful Problems\nDevelop AI solutions that help millions of customers make better financial decisions and improve their overall experience.\nBuild with Modern Technologies\nWork with LLMs, GenAI frameworks, cloud-native machine learning platforms, MLOps, and advanced AI architectures.\nLearn from a Global AI Community\nCollaborate with a network of more than 160 data scientists across John Hancock and Manulife.\nGrow Your Career\nAccess continuous learning opportunities, mentorship, and exposure to innovative AI initiatives across multiple business domains.\nThrive in an Inclusive Environment\nWe're committed to fostering a workplace where everyone feels supported, valued, and empowered to do their best work.\nAbout John Hancock & Manulife\nJohn Hancock is a unit of Manulife Financial Corporation, a leading international financial services group providing insurance and wealth management solutions across North America, Asia, and Europe. Together, we're on a mission to remove complexity from financial services and make decisions easier for our customers.\nReady to help shape the future of AI in financial services? Apply today and join us on our transformation journey.\nThe role being advertised is an existing vacancy.\nAbout Manulife and John Hancock\nManulife 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.\nManulife is an Equal Opportunity Employer\nAt 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.\nIt 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 .\nReferenced Salary Location\nBoston, MassachusettsWorking Arrangement\nHybridSalary range is expected to be between\n$90,160.00 USD - $167,440.00 USDEmployees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. 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. If you are applying for this role outside of the primary location, please contact  for the salary range for your location.\nManulife/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.\nWe use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.\nKnow Your Rights IFamily & Medical LeaveIEmployee Polygraph ProtectionIRight to WorkIE-Verify\nCompany: John Hancock Life Insurance Company (U.S.A.)","description_format":"text","description_chars":8472,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Growth opportunities","Insurance coverage","Life insurance","Retirement plans"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Asset Management & Funds","Health Insurance & Benefits","Life Insurance & Annuities"],"lifecycle":[{"event":"open","at":"2026-08-28T00:00:00Z"},{"event":"close","at":"2026-09-28T12:36:11Z"},{"event":"reopen","at":"2026-09-29T01:57:53Z"}],"visa":[],"liveness":{"score":9,"band":"cold","label":"Long shot","p_open":1,"p_active":0.325,"p_room":0.28,"age_days":50,"expected_fill_days":18,"reasons":["conf:16","velocity","win:tail","crowd:junior,brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/manulife-data-scientist-hybrid","json_url":"https://alion.io/job/manulife-data-scientist-hybrid.json","meta":{"generated_at":"2026-10-18T07:10:50Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":10730,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":6650},"rest":"https://alion.io/mcp/rest/get_company?id=6650"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmanulife-data-scientist-hybrid"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fmanulife-data-scientist-hybrid"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fmanulife-data-scientist-hybrid"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/manulife-data-scientist-hybrid\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmanulife-data-scientist-hybrid"}]}