Company
Financial Services
DataScientist
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Scientist. Skills: Data Science, Machine Learning, LLM, Generative AI. Develop machine learning models. Deploy LLM solutions”
What You'll Achieve.
Optimize sales efforts; Optimize marketing efforts; Unlock full potential of ML systems; Drive maximum business value
Industry & Context.
Solve business problems
What They're Looking For.
Must Have
Bachelor's or Master's degree, 3+ years of experience in AI/Data Science, Python and SQL proficiency, Azure cloud tools experience, Business insight, Problem-solving skills, Analytical skills, Communication skills, Collaboration skills
Nice to Have
Insurance industry experience, PhD preferred, Specific ML framework experience, Cloud platform certs
What You'll Do.
Develop machine learning models
Monitor model performance
Improve model performance
Collaborate with teams
Plan predictive analytics solutions
Scope predictive analytics solutions
Implement predictive analytics solutions
Sustain predictive analytics solutions
Stay up to date with AI advancements
Evaluate AI applications
How You'll Work.
Team & Collaboration
Data Scientists; BI Specialists; Sales Leaders; Marketing Leaders; IT partners; Multi-functional teams
Full Job Description
The Manulife/John Hancock AI Team is seeking a highly skilled and motivated Data Scientist with a strong focus on developing end-to-end data science models and solutions to accelerate and optimize sales and marketing efforts! In this role, you will collaborate closely with Data Scientists, BI Specialists, Sales and Marketing Leaders, and IT partners. Together, you will complete AI and Advanced Analytics initiatives that will build the future of our business. The team implements a wide range of traditional ML models as well as innovative LLM approaches. As a Data Scientist, you will lead the development and deployment of innovative ways to optimize existing and new machine learning systems, unlocking their full potential to drive maximum business value. **Position Responsibilities:** * Develop machine learning models and applications on cloud platforms like Azure Databricks and AKS, ensuring seamless integration, scalability, and cost-effectiveness. * Solve business problems by deploying LLM/ Generative AI solutions by using RAG, Azure AI Search and other techniques. * Design and develop ML models to address distribution and marketing efficiencies, including recommendation systems, content generation and competition optimization. * Continuously monitor and improve the performance of machine learning models through data analysis and testing * Collaborate with multi-functional teams to plan, scope, implement, and sustain predictive analytics solutions. * Stay up to date with the latest advancements in AI technologies and methodologies, and evaluate their potential applications to improve our AI engineering processes. **Required Qualifications:** * Bachelor's (and at least 3 years of experience working in AI/ Data Science) or Master’s degree in Computer Science, Engineering, Mathematics, or related field * Hands on experience with Azure cloud tools, such as Databricks, AI Foundry, AI Search, Kubernetes * Strong background with Python and SQL, experience using both for d
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