About the Role

Our client, a pioneering force in the Banking & Finance technology space, is seeking an exceptional Lead Data Scientist to spearhead their data-driven initiatives. This is a fully remote role, offering the flexibility to work from anywhere while contributing to cutting-edge projects. You will lead a team of talented data scientists, developing advanced analytical models, machine learning algorithms, and predictive insights to drive business strategy and product innovation. The ideal candidate possesses a strong academic background, extensive experience in statistical modeling and machine learning, and a proven ability to translate complex data findings into actionable business recommendations. Join us in shaping the future of finance through intelligent data solutions.

Key Responsibilities

- Lead and mentor a team of data scientists in developing and deploying advanced analytical models and machine learning solutions.
- Define data science project roadmaps, prioritize initiatives, and manage project execution from conception to production.
- Develop predictive models, segmentation analyses, and recommendation engines for financial products and services.
- Utilize big data technologies and advanced statistical techniques to extract insights from large, complex datasets.
- Collaborate closely with product managers, engineers, and business stakeholders to identify opportunities for data science applications.
- Design and implement A/B testing frameworks to evaluate the impact of new models and features.
- Stay abreast of the latest advancements in data science,



artificial intelligence, and machine learning.
- Communicate complex findings and recommendations clearly to both technical and non-technical audiences.

Requirements

- PhD or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or a related discipline.
- Minimum of 7 years of experience in data science, with at least 2 years in a leadership or mentoring role.
- Expertise in programming languages commonly used in data science (Python, R) and proficiency with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, Pandas).
- Strong understanding of machine learning algorithms, statistical modeling, and data mining techniques.
- Experience with big data platforms (e.g., Spark, Hadoop) and database technologies (SQL, NoSQL).
- Demonstrated experience in the Banking & Finance sector is highly preferred.
- Excellent problem-solving, analytical, and critical thinking skills.
- Exceptional leadership, communication, and stakeholder management abilities.

Benefits

- Highly competitive salary and significant performance-based bonus opportunities.
- Fully remote work environment offering ultimate flexibility and autonomy.
- Access to state-of-the-art tools, technologies, and cloud infrastructure.
- Opportunities to lead groundbreaking projects and influence strategic decisions.
- Comprehensive health, dental, and vision insurance plans.
- Generous paid time off and retirement savings plans.
- Continuous learning support and career development programs.

📌 Lead Data Scientist (Canada)
🏢 Placements24
📍 Canada