We are seeking a highly skilled and motivated Senior Data Scientist – GenAI to join the Long Term Care (LTC) Fraud, Waste & Abuse (FWA) Advanced Analytics team.

In this role, you will lead the design and deployment of high impact machine learning and AI solutions—combining traditional statistical modeling with advanced AI and Generative AI techniques including but not limited to generative AI techniques, such as applying prompt engineering, working with RAG applications, fine-tuning LLM models, and deploying applications on cloud platforms like Azure.

You will work closely with business partners to translate complex fraud and risk problems into scalable, production ready analytical and AI solutions.

Your work will directly protect policyholders, ensure program integrity, and improve operational efficiency.
**Position Responsibilities:**
Lead end to end development of fraud detection and risk analytics models, including probabilistic models, anomaly detection, and ensemble approaches.

Perform advanced modeling and AI analysis on large, complex datasets to identify emerging fraud patterns and root causes.

Demonstrate proficiency in developing, fine-tuning, and deploying Generative AI models such as GPT models, as well as other innovative architectures.

This includes understanding the nuances of model selection, optimization, and evaluation to ensure high performance and accuracy, while managing cloud-based solutions to ensure scalability, security, and performance.

Build and optimize modular RAG (Retrieval-Augmented Generation) systems, apply advanced retrieval methods, and evaluate and monitor the performance of RAG systems.

Apply large language models (LLMs) to parse complex documents and handle diverse layouts, such as multi-column text, tables, and images, and converting them into machine-readable formats to extract structured information.

Stay up-to-date with the latest advancements in Generative AI, prompt engineering, Agentic Framework, and cloud technologies, to apply them and enhance our data science capabilities.

Collaborate with data engineers and ML engineers to integrate data science solutions into existing systems and workflows.

Communicate sophisticated technical concepts and findings to both technical and non-technical partners, ensuring clear understanding and agreement.

Review the work of other Data Scientists and take part in model and code reviews.

Collaborate with multi-functional teams to identify and define business requirements, ensuring alignment with data science objectives.
**Required Qualifications:**
Master's, or Ph.D. degree in Computer Science, Data Science, Statistics, Engineering, Physics, or a related quantitative field.
5+ years of hands on industry experience in developing probabilistic models, analytics, and machine learning algorithms, including real world experience of applying analytics models, with a strong focus on machine learning, generative AI, timely engineering, and RAG applications




Proficiency in programming languages such as Python and experience with machine learning libraries/frameworks, e.g., PyTorch, scikit-learn, Hugging Face, SQL, graph databases (Neo4j/Cypher, Cosmos DB
**Preferred Qualifications:**
Knowledge of professional software engineering practices & standard methodologies for the full software development process, including coding standards, code reviews, source control management, build processes, testing, and operations.

Strong collaboration and elaboration skills; demonstrates a strong commitment toorganizational success; shares resources and demonstrates knowledge across the organization.

Strong problem-solving skills and the ability to think critically and creatively to develop innovative solutions.

Excellent communication and collaboration skills, with the ability to work optimally in multi-functional teams.

Strong problem solving mindset with the ability to think critically and creatively.

Excellent communication and collaboration skills, with comfort working in cross functional teams.
**_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
The role being advertised is an existing vacancy.
**マニュライフとジョン・ハンコックについて**
マニュライフ・ファイナンシャル・コーポレーションは、「あなたの未来に、わかりやすさを」を提供する、国際的な大手金融サービスプロバイダーです。当社について詳しくは、
https://www.manulife.co.jp/ lをご覧ください。
**マニュライフは機会均等を是とする雇用主です**
マニュライフ/ジョン・ハンコックでは、多様性を受け入れます。私たちは、サービス提供先であるお客さまと同様に、多様な人材を引きつけ、育成し、定着させ、文化や個人の力を受け入れる包括的な職場環境を促進するよう努めています。当社は公正な採用、定着、昇進、報酬に努めています。当社のすべての慣行およびプログラムは、人種、祖先、出身地、肌の色、民族的出自、市民権、宗教または宗教的信念、信条、性別（妊娠および妊娠関連の状態を含む）、性的指向、遺伝的特徴、退役軍人としての地位、性自認、性に関する表明、年齢、婚姻状況、家族状況、障害、または適用法で保護されるその他の要因に対する一切の差別を行うことなく管理されます。
雇用への平等なアクセスを提供するために、障壁を取り除くことが当社の優先事項です。人事担当者は、応募者が応募プロセス中に合理的配慮を要求する場合に協力します。配慮要求のプロセス中に共有されるすべての情報は、適用される法律およびマニュライフ/ジョン・ハンコックのポリシーに準拠した方法で保存および使用されます。申請プロセスにおいて合理的配慮を要求するには、 [email protected] までご連絡をお願いします。
**Referenced Salary Location**
Boston, Massachusetts
**Working Arrangement**
ハイブリッド勤務
**Salary range is expected to be between**
$107,450.00 USD - $199,550.00 USD
Employees 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
[email protected]
for the salary range for your location.

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 advantages, 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.

We 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 (https://careers.manulife.com/global/en/talentacquisitionprivacystatement) .

Know Your Rights
(http://dol.gov/agencies/ofccp/posters?utm_medium=email&utm;_source=govdelivery)
**I**
Family & Medical Leave (https://www.dol.gov/agencies/whd/fmla/posters)
**I**
Employee Polygraph Protection (https://www.dol.gov/sites/dolgov/files/WHD/legacy/files/eppac.pdf)
**I**
Right to Work (https://www.e-verify.gov/sites/default/files/everify/posters/IER_Right

ToWork

Poster%20Eng_Es.pdf)
**I**
E-Verify (https://e-verify.uscis.gov/web/media/resources

Contents/E-Verify_Participation_Poster_ES.pdf)
Company: John Hancock Life Insurance Company (U.S.A.)

📌 Senior Data Scientist (Toronto)
🏢 Manulife
📍 Toronto