Lead Data Scientist - Financial Services

Placements24; Kimberley; Hybrid; CAD 211,000 - 296,000; Full time

Benefits offered by this job

Performance bonus

Remote work

State-of-the-art tools & cloud infra

Leadership opportunities

Health insurance

PTO & retirement plans

Learning & development

Job summary

Placements24 is seeking a Lead Data Scientist to head a data science team in a fully remote role. You will develop advanced models, ML algorithms, and predictive insights to steer business strategy and product innovation within the Banking & Finance tech space.

The ideal candidate has a PhD or MSc in a quantitative field, 7+ years in data science with leadership experience, and strong skills in Python/R and ML libraries. Excellent communication and stakeholder management are essential.

Qualifications

• PhD or Master’s in a quantitative field (CS, Stats, Math, Physics)
• 7+ years in data science with leadership experience
• Proficiency in Python or R and ML libraries
• Experience with big data platforms (Spark/Hadoop) and SQL/NoSQL
• Banking/finance sector experience preferred

Responsibilities

• Lead and mentor a team of data scientists in developing and deploying advanced analytical models and ML 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 with product managers, engineers, and business stakeholders to identify opportunities for data science applications.
• Design and implement A/B testing frameworks to evaluate model impact and feature changes.
• Stay abreast of latest advancements in data science, AI, and ML.
• Communicate complex findings clearly to technical and non-technical audiences.

Skills

Leadership

Data science

Python

R

Machine learning

Statistical modeling

Big data

Communication

Education

PhD or MSc

Tools

TensorFlow

PyTorch

scikit-learn

Pandas

Spark

Hadoop

SQL

NoSQL

Job description

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 professional development programs.