Can you turn complex data into actionable insights and business intelligence? Apply Now!
Working with one of our top financial clients, this role calls for a Data Scientist-AI/ML to design and deliver end-to-end analytics solutions that combine data science, advanced analytics, and business intelligence. The successful candidate will apply statistical analysis, machine learning, and data-driven experimentation to address complex business challenges, while translating insights into scalable dashboards, reporting solutions, and decision-support tools.
Pay rate range (CAD): $49.49/hr – $59.38/hr
Responsibilities
- Apply statistical analysis, machine learning, and advanced analytics techniques to identify trends, risks, and optimization opportunities.
- Design and develop analytical models, experimentation frameworks, and data-driven solutions for complex business problems.
- Build and maintain curated datasets, feature layers, and analytical data models supporting modelling and reporting requirements.
- Translate ambiguous business challenges into structured analytical approaches, key performance indicators, and measurable outcomes.
- Create interactive Power BI dashboards, reporting solutions, and executive-ready data stories.
- Partner with stakeholders to define analytical requirements and develop data-driven decision frameworks.
- Validate data quality and support data governance across analytical models and business intelligence outputs.
- Operationalize analytics through automated pipelines, monitoring solutions, and repeatable reporting processes.
- Support risk and control objectives through analytical monitoring and insight generation.
- Continuously improve analytical methodologies, data assets, reporting efficiency, and user adoption.
- Manage multiple priorities and deliver high-quality work within established project timelines.
Desired Skill-Set
- Five to seven years of relevant experience in data analytics, data science, business intelligence, or a related field.
- Proficiency in Python, including Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, and PySpark.
- Strong SQL skills, including the ability to write complex queries, stored procedures, and data extraction processes.
- Experience with cloud-based data and artificial intelligence or machine learning platforms such as Azure, AWS, or GCP.
- Experience deploying and managing analytical or machine learning models in production environments.
- Proficiency in Power BI for developing impactful visualizations, dashboards, and reporting solutions.
- Strong organizational skills with the ability to manage multiple deadlines and priorities in a fast-paced environment.
- Ability to collaborate with multiple stakeholders, influence decisions, and achieve alignment across teams.
- Strong risk awareness and the ability to challenge the status quo while proactively managing risks.
- Ability to work effectively in ambiguous situations and simplify complex issues.
- Strong work ethic with the ability to execute efficiently and deliver results with speed.
- Undergraduate or advanced technical degree in mathematics, physics, engineering, finance, computer science, or a related discipline is preferred.
Nice to Have
- Proficiency in Tableau.
- Hands-on experience with supervised and unsupervised learning, reinforcement learning, and causal inference.
- Experience building, training, and deploying machine learning models.
- Experience developing model pipelines, feature engineering processes, hyperparameter tuning, and model explainability solutions.
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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