Data Scientist, Equity Markets Technology

BeachHead Inc.; Toronto; On-site; CAD 96,000 - 110,000; Full time

Job summary

BeachHead Inc. is seeking a Data Scientist (Banking/Python/AI) to influence equity market AI initiatives. You will work with Azure Databricks to analyze large datasets, develop AI use cases, and deliver actionable insights to business stakeholders.

The role requires 3–5 years in data analytics or data science, strong Python/SQL skills, and familiarity with AI/GenAI projects in Capital Markets. Collaboration with data engineers and business partners is essential.

Qualifications

• 3–5 years in data analytics, BI or data science roles.
• Strong Python and SQL with ability to extract insights from large datasets.
• Experience with AI/ML or GenAI initiatives and Azure Databricks familiarity.

Responsibilities

• Analyze large datasets in Azure Databricks to identify trends, insights and opportunities.
• Support the development of AI and GenAI use cases across Equity Markets.
• Use Python to prepare, clean, transform, and analyze data for AI applications.
• Collaborate with stakeholders to map business needs to technical solutions.
• Research, evaluate, and summarize information using AI-enabled tools.
• Prepare datasets and workflows supporting language models and AI models.
• Extract actionable insights and communicate findings effectively.
• Collaborate with data engineers to leverage Azure Databricks as the enterprise data platform.

Skills

Python

SQL

Data analytics

GenAI

Education

Bachelor's degree in a quantitative field

Tools

Azure Databricks

Microsoft Copilot Studio

LangChain

Job description

Are you a data professional with AI expertise looking to make an impact in equity markets?

Working with one of our top financial clients, this role calls for aData Scientist (Banking/Python/AI) to support emerging AI-driven data intelligence initiatives within Capital Markets. This position involves leveraging large datasets within the Azure Databricks ecosystem to identify opportunities, develop AI use cases, and deliver actionable insights for business stakeholders.

Pay rate range (CAD): $70.00/hr – $80.00/hr

Responsibilities

• Analyze large datasets within Azure Databricks to identify trends, insights, and business opportunities.
• Support the development of AI and GenAI use cases across Equity Markets.
• Use Python to prepare, clean, transform, and analyze data for AI applications.
• Collaborate with business stakeholders to understand opportunities for process improvement through AI.
• Research, evaluate, and summarize information using AI-enabled solutions.
• Prepare datasets and workflows supporting large language models and AI models.
• Extract actionable insights from complex data and communicate findings effectively.
• Support experimentation with AI tools such as Microsoft Copilot Studio, LangChain, or similar platforms.
• Collaborate with data engineers and technology teams to leverage Azure Databricks as the enterprise data platform.

Desired Skill-Set

• 3–5 years of experience in data analytics, business intelligence, or data science roles.
• Strong hands-on experience with Python and SQL.
• Proven ability to extract insights from large datasets.
• Experience supporting AI, machine learning, or GenAI initiatives.
• Familiarity with Azure Databricks preferred.
• Analytical mindset with ability to translate business needs into technical solutions.
• Degree in a quantitative discipline (e.g., Computer Science, Mathematics, Statistics, Engineering, Economics, Physics, Business).

Nice to Have

• Experience with Generative AI platforms such as Microsoft Copilot Studio or LangChain.
• Knowledge of other LLM/AI frameworks.
• Previous data scientist experience.
• Power BI proficiency.
• C# programming skills.
• Capital Markets or Equity Markets experience.

BeachHead is an equal opportunity agency and employer. We advocate for our candidates and welcome applicants regardless of race, color, religion, national origin, sex, age, or physical or mental disability. BeachHead or our clients may use technology-enabled tools, including automation and artificial intelligence (AI), to support parts of the recruitment process such as resume screening, application management, and candidate matching. These tools assist our recruiters and our clients, and do not replace human decision-making. This job posting represents a current or anticipated vacancy. The position may be filled at any time, and the posting may be removed without notice once the role has been filled.

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