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Sr. Data Scientist - GenAI

Manulife

Toronto · Hybrid Full-time Senior CA$129k – CA$179k/yr Today

About the role

About

We are seeking a highly skilled and motivated Senior Data Scientist to join our Group Functions Advanced Analytics team! As a Senior Data Scientist - GenAI, you will develop and implement robust analytical solutions for various parts of Manulife and JH by applying traditional and emerging ML and 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. Your expertise in these areas will play a crucial role in driving data-driven decision-making and enhancing our business processes!

La Société Financière Manuvie est un chef de file mondial des services financiers qui aide les gens à prendre leurs décisions plus facilement et à vivre mieux. Pour en apprendre plus à notre sujet, rendez vous à l’adresse www.manuvie.com.

Manuvie est un employeur qui souscrit au principe de l’égalité d’accès à l’emploi

Chez Manulife/John Hancock nous valorisons notre diversité. Nous nous efforçons d’attirer, de perfectionner et de maintenir une main d'oeuvre qui est aussi diversifiée que nos clients, et de favoriser la création d’un milieu de travail inclusif qui met à profit la diversité de nos employés et les compétences de chacun. Nous nous engageons à assurer un recrutement, une fidélisation, une promotion et une rémunération équitables, et nous administrons toutes nos pratiques et tous nos programmes sans discrimination en raison de la race, de l’ascendance, du lieu d’origine, de la couleur, de l’origine ethnique, de la citoyenneté, de la religion ou des croyances ou des convictions religieuses, du genre (y compris grossesse et affection liée à une grossesse), de l’orientation sexuelle, des caractéristiques génétiques, du statut d’ancien combattant, de l’identité de genre, de l’expression de genre, de l’âge, de l’état matrimonial, de la situation de famille, d’une invalidité ou de tout autre motif protégé par la loi applicable.

Nous nous sommes donné comme priorité d’éliminer les obstacles à l’accès égalitaire à l’emploi. C’est pourquoi un représentant des Ressources humaines collaborera avec les candidats qui demandent accommodement raisonnable pendant le recrutement. Tous les renseignements communiqués pendant le processus de demande d'accommodement seront stockés et utilisés conformément aux lois et aux politiques applicables de Manuvie. Pour demander une mesure d’accommodement raisonnable dans le cadre du recrutement, écrivez à hr@manulife.com.

Position Responsibilities

  • Develop and lead machine learning and AI driven projects that span the breadth of Group Functions (Corporate Functions) with high business impact.
  • 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

  • Bachelor', Master's degree, or Ph.D. in Computer Science, Data Science, Statistics, Engineering, or a related field.
  • 5+ years of 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/Gremlin).
  • 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 to organizational 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.

What We Offer

  • 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.

Additional Information

  • #LI-Hybrid
  • Le poste annoncé correspond à une vacance existante.
  • Salary Range: $129,400.00 CAD - $179,400.00 CAD
  • Work Arrangement: Hybrid
  • Location: Toronto, Ontario
  • Employees have the opportunity to participate in incentive programs and receive compensation tied to company and individual performance. Actual salary will vary based on local market conditions, geographic region, and role-specific factors such as knowledge, skills, qualifications, experience, and training. If applying from outside your primary location, please contact hr@manulife.com for applicable salary ranges.
  • Manulife offers a comprehensive and customizable benefits package for eligible employees, including medical, dental, mental health, vision, short-term and long-term disability, life and AD&D insurance, adoption, surrogacy, and non-urgent medical travel insurance, as well as employee and family assistance programs. We also provide eligible employees with various retirement savings plans (including pension plans and an international share purchase plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal days, and sick days, and we offer the full range of legally mandated leaves. For US-based applicants, please contact hr@manulife.com for specific US paid time off provisions.
  • We utilize data and analytics technologies, such as Artificial Intelligence (AI), and automated processing tools to analyze and process information you provide or that is provided by third parties in connection with the application process. For more information, please refer to our Personal Information Collection Statement.

Requirements

  • 5+ years of 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/Gremlin).
  • 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 to organizational 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.

Responsibilities

  • Develop and lead machine learning and AI driven projects that span the breadth of Group Functions (Corporate Functions) with high business impact.
  • Demonstrate proficiency in developing, fine-tuning, and deploying Generative AI models such as GPT models, as well as other innovative architectures.
  • 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.

Benefits

health insurancedental insurancemental health insurancevision insuranceshort-term disability insurancelong-term disability insurancelife insuranceDM insuranceadoption insurancesurrogate mother medical insurancenon-urgent medical care insuranceemployee assistance programsretirement savings planspaid time offholidayspersonal leavesick leave

Skills

AzureCosmos DBCypherGenerative AIGremlinGPTHugging FaceLLMNeo4jPythonPyTorchRAGscikit-learnSQL

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