Pollard Banknote Limited is a leader in instant ticket manufacturing and lottery services, seeking a Data Scientist to join their Lottery Management Services team. The role involves collaborating with various teams to turn lottery data into actionable insights and scalable machine learning solutions that improve operational performance and player experiences.
Lead the ideation, research, and experimentation phases of data science initiatives within our Lottery Management Services business unit
Collaborate closely with operations, supply chain, logistics, customer service, sales, and product teams to understand business challenges and opportunities
Translate complex business requirements into analytical and machine learning solutions that drive meaningful business outcomes
Collect, cleanse, and preprocess large datasets to ensure high-quality model development
Design, develop, and deploy machine learning models that enhance operational efficiency and customer experience
Monitor model accuracy, stability, and performance both before and after deployment, ensuring solutions remain fit for purpose
Ensure scalability, feasibility, and cost-awareness of proof-of-concepts (POCs) and production models, particularly within AWS cloud services
Clearly communicate analytical insights, recommendations, and results to functional teams and senior leadership
Stay current with emerging trends, tools, and best practices in data science and machine learning through ongoing learning and professional development
Travel- Occasional travel within the United States and Canada to office and customer locations may be required
Qualification
Required
Bachelor's degree in computer science, Engineering, Mathematics, or a related field
2+ years of experience building and applying data science and machine learning solutions to business problems
Strong foundation in advanced statistics and applied machine learning techniques
Proven ability to convert complex business challenges into mathematical and analytical models
Experience with data analysis and development tools such as SQL, RStudio, PyCharm, Jupyter, Anaconda, or VS Code
Familiarity with, or ability to quickly learn, Amazon Web Services (AWS) including services such as S3, EC2, Lambda, API Gateway, Elastic Beanstalk, and SageMaker
Experience creating low- and high-fidelity analytical prototypes that can be scaled into production solutions
Awareness of bias, privacy, and compliance considerations in data science and machine learning
Preferred
Master's degree is an asset
AWS certifications are considered an asset
Benefit
Competitive compensation
Profit sharing program – every role plays a part in our success!
Company pension & 401K
Health & Extended Benefits
Opportunities for professional development
Tuition reimbursement
Employee & Family Assistance Program
A variety of committee driven employee engagement activities
Free Parking
Pollard Banknote partners with lotteries around the world to create and market high performing instant games and solutions that excite and engage players.
