Data Scientist

Overview

At Lantern, our company culture stands as the bedrock of our success and a source of pride for our teams. We believe a culture founded on trust forms the basis for enduring relationships with clients, colleagues, and partners. We foster an environment of respect, inclusion, and belonging, prioritizing the well‑being of our colleagues, the success of our clients, and our positive impact on society. As a

Data Scientist , you will be responsible for assisting our clients envision, design, develop, and deploy machine learning solutions in Microsoft Azure. As part of a small, dynamic team, you will have the opportunity to contribute to multiple projects and multiple phases of the solution life cycle including solution design and implementation. Responsibilities

Experience in the full ML lifecycle – understanding, developing, deploying, and maintaining traditional data science solutions. Proficiency with Microsoft Azure technologies such as Azure Machine Learning and Azure Databricks. Strong programming skills in Python or PySpark. Solid understanding of supervised + unsupervised learning algorithms and concepts. Experience with data preparation, feature engineering, and data engineering practices. Understanding of supervised + unsupervised learning algorithms and concepts. Experience in the optimization and tuning of machine learning solutions to handle large volumes of data. Outstanding verbal and written communication skills. Excellent presentation and whiteboarding skills. Experience communicating highly technical concepts to non-technical audiences. Experience collaborating with business stakeholders to understand business requirements and design AI solutions which meet those requirements. Skills, Knowledge and Expertise

Bachelor’s degree in computer science or related field Experience building solutions with Azure AI Services (OpenAI, Vision, Speech, etc.), Microsoft Fabric or Azure Data Factory. AI-102 (Microsoft Certified: Azure AI Engineer Associate), or DP-100 (Microsoft Certified: Azure Data Scientist Associate), or Databricks ML Data Scientist Certifications a plus Experience with GitHub or Azure DevOps Prior consulting and business development experience a plus. Seniority level

Entry level Employment type

Full-time Job function

Engineering and Information Technology Industries

IT Services and IT Consulting Data Scientist - Data-Driven Global Investment Firm Locations

Mississauga, Ontario, Canada · Greater Toronto Area, Canada

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