Data Scientist

Job summary

Translate business goals into analytical problems and design, develop, and implement data science and machine learning solutions, including generative AI applications. Build and pilot AI agents, chatbots, and retrieval systems using LLMs, RAG techniques, vector databases, and agentic frameworks while collaborating with cross-functional teams.

Job details

Contract Job title: Data Scientist Duration: 12 months Role status: Current opening Reporting to the Director, Data Science, as a Senior Data Scientist a successful candidate will focus on supporting Canadian business units in accelerating the growth and application of advanced analytics in driving value. The senior data scientist will leverage practical experience in applying varied data science techniques & offering advice/inputs to help with the design, development and implementation of analytics use cases. Principal tasks and responsibilities include: Data Science and Machine Learning · Translate business goals into analytical problems; Identify optimal algorithms, statistical techniques and/or GenAI architecture suitable for the business problem at hand · Work in cross-functional teams to develop ML/data science products, including GenAI applications · Apply best-in-breed data science techniques including descriptive, predictive, and machine learning methods from design to implementation · Focus on feature engineering, model training, model evaluation, and prompt engineering for LLMs GenAI & Agentic AI Development · Design, develop, and deploy GenAI solutions including AI agents, chatbots, and autonomous systems that solve complex business problems · Research and pilot the latest GenAI technologies, RAG (Retrieval-Augmented Generation) techniques, and agentic frameworks (LangChain, LangGraph, CrewAI etc.) · Implement AI bots/agents with advanced reasoning capabilities and tool use patterns · Work with vector databases and embedding models to build intelligent information retrieval systems Our client: An established financial services organization within the insurance sector. Qualifications and pre-requisites: · Bachelor's degree in computer science, Statistics, Mathematics, or related field, or equivalent experience · 5+ years' experience in developing and implementing data science techniques · Proficient in Python for data science and GenAI application development · Experience with writing complex SQL and PySpark queries to extract and integrate data from multiple database sources · Proficiency in machine learning including supervised and unsupervised models · Demonstrated experience in data transformation, data manipulation, and working with structured vs. unstructured data · Strong understanding of APIs, microservices architecture, and cloud-native development · Hands-on expertise with GenAI frameworks and LLM APIs with experience developing AI bots/agents with reasoning and tool-use capabilities · Strong understanding of RAG techniques, prompt engineering, and fine-tuning methodologies and familiarity with vector databases and embedding models · Experience with chatbot development concepts and conversational AI design · Exceptional communication skills to articulate complex technical concepts to both technical and non-technical stakeholders · Effective and concise oral and written storytelling and insights communication skills · Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities · Proven ability to mentor and guide junior data scientists and data engineers · Strong problem-solving abilities and analytical skills with keen attention to detail Nice to Have: · Experience with AWS services including SageMaker, Lambda, Bedrock, and other AI/ML services · Experience with data warehousing, pipelines, and big data technologies such as AWS Glue for ETL, Glue Catalog, Glue Data Quality, and AWS Step Functions.

What you’ll do

Translate business goals into analytical problems and design, develop, and implement data science and machine learning solutions, including generative AI applications. Build and pilot AI agents, chatbots, and retrieval systems using LLMs, RAG techniques, vector databases, and agentic frameworks while collaborating with cross-functional teams.

Requirements

Requires a bachelor's degree in computer science, statistics, mathematics, or a related field, or equivalent experience, and at least five years of experience developing and implementing data science techniques. Candidates should have strong Python, SQL, PySpark, machine learning, and GenAI expertise, along with communication, problem-solving, and mentoring skills.

Listed skills

• SQL · Preferred
• Machine learning · Preferred
• prompt engineering · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• SQL
• PySpark
• Machine Learning
• Generative AI
• Large Language Models
• Prompt Engineering
• Retrieval-Augmented Generation
• AI Agent Development
• Feature Engineering
• Model Training and Evaluation
• Vector Databases
• Embedding Models
• Data Transformation
• API and Microservices Architecture
• Cloud-Native Development

Job areas

• Data & Analytics
• Technology
• Software
• Science & Research

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