Data Scientist

Who We Are

For over 20 years, Nomis has been dedicated to improving the science and execution of pricing. Our mission underpins our focus in this space: to help banks, credit unions, and lenders differentiate and grow their brands by developing relationships with customers that are both personalized and profitable. We offer a comprehensive set of solutions for setting, managing, and executing price to meet each financial institution where they are in their price management journey.

What does that mean for people joining us? We offer the stability of a 20-year-old company with the responsiveness of innovative teams determined to be market leaders. Value-driven as a team and as individuals, we find personal satisfaction in our shared belief that we can fundamentally change the way banks do business through science and software. If you are ready to tackle the problems that aren't easy, appreciate the journey while you are on it, and shift gears quickly to make things happen, join us.

Who We Need

Nomis Solutions is seeking an exceptional Production-Ready Data

Scientist to build and deploy best-in-class analytical models for our clients. You are curious, collaborative, structured, detail oriented and a good team player. You are passionate about big data analytics and statistical models, and have experience developing models that perform reliably in production environments. You know the math and you can translate complex analytical results into business insights, while ensuring your models are robust, reproducible, and maintainable throughout their lifecycle. You can zoom out to understand the big picture and zoom in to any level of detail. You are meticulous, clear in your approach and analysis, and possess the ability to critique your work so you can better explain it to others. You have the drive to make processes more efficient, take ownership of the complete model journey from development to production, and are accountable for model performance over time.

What's in it for you?

Career growth. Influence. Exposure. You are seeking an opportunity to work with some of the largest Financial Institutions in North America and APAC. You want to join a fast-growing, nimble company with vision and depth; a place where your passion for data, technology, and relationships are invaluable assets. You want to have your voice heard, your advice applied, your ideas implemented and your innovative problem-solving recognized.

Chance to make your mark. This is an opportunity to build analytical models that are used to price billions of dollars of Loan and Deposit applications each month, work alongside leadership, chart your own path and be recognized for your efforts. You will have the opportunity to make a broad and deep impact positioning our products to further our growth across the financial services industry.

Win as a team. In this role, you will be part of a highly collaborative group that challenges the status quo every day and will leverage the latest technology to improve how financial institutions do business.

What you will do

Develop and deploy predictive models. You will develop predictive models to forecast consumer demand for various financial services products which are used as part of our software to price billions of dollars every month. You will take ownership of the complete model lifecycle, from initial development through production deployment and ongoing maintenance. You will ensure health of statistical models through a regimented model validation process and confirm models delivered through the Nomis platform are performant and applicable through strong Internal Model Risk Management. You will work with client Model Risk Management through the model acceptance process.

Build production-ready solutions. You will develop models with production deployment in mind, ensuring code quality, documentation, and reproducibility. You will monitor model performance in live environments, troubleshoot issues, and implement updates as needed. You will collaborate with technical stakeholders to ensure smooth model deployment and maintain model versioning and documentation standards.

Earn trust. You will foster trusted working relationships internally and with our clients, understand their objectives and challenges and build reliable, maintainable models to solve them. You will translate unstructured business problems into actionable analyses for non-technical teams. You will package findings into market facing communications that showcase our value and entice prospects to purchase Nomis offerings.

Be a subject matter expert. You will develop your knowledge of our solutions and the banking industry. You will research, design, and prototype new analytical product offerings for our customers. You will build the necessary tools to develop high-quality, production-ready models and demonstrate a strong understanding of banking structures and model risk management expectations.

What you bring

Must-Haves:

• 3+ years of experience in the development and deployment of econometric and forecasting models in a production business context
• Proficiency in Python and SQL with emphasis on writing clean, documented, reproducible code
• Experience with linear/logistic regressions, time series forecasting, experimental test and design, and ML algorithms
• Hands-on experience with models that have been deployed to production environments and understanding of model lifecycle management
• Ability to work autonomously, take ownership of the complete model journey, and drive projects from inception to production deployment
• Effective communication skills to persuade and articulate findings to various stakeholders
• Capability to translate complex analytical results into actionable business insights and tell a compelling story with data

Nice-to-Haves:

• Experience with version control systems (Git/GitHub) and collaborative development workflows
• Familiarity with containerization (Docker), cloud platforms (AWS/Azure/GCP), and CI/CD practices
• Knowledge of model monitoring, performance tracking, and production model maintenance
• Strong understanding of banking structures and rational business insights
• Familiarity with modelling standards and expectations in a banking/financial institution context, especially regulatory expectations like CCAR/CECL
• Experience with data pipeline tools and orchestration platforms
• Advanced degree (Ph.D. or M.S.) in a quantitative field such as applied mathematics, statistics, economics, operations research, engineering, management analytics, or management science, or relevant professional experience as a data scientist

The expected salary range for this role is $95,000 to $120,000 USD for US and $111,000 to $140,000 CAD for Canada.

Need any more reasons to join us?

At Nomis, we believe in the power of being:

Be Brave – Challenge everything, including yourself. We all make mistakes and it's ok because we learn from them.

Own The Outcome – Doing the right thing usually means doing the hard thing. We always act with integrity.

Listen with Every Muscle – We first listen and seek to understand then act with purpose.

Develop our Community – Trust is our foundation. Diversity makes us stronger. Always be yourself.

It's a place where everyone has access to senior leadership and has their voice heard. We foster a supportive, motivational environment with a powerful sense of camaraderie. With a highly competitive salary, bonus opportunity, 3 weeks paid vacation for everyone, full benefits, a remote work environment and a flexible work schedule, this

is the company to learn fast, follow your passion, and be part of a rewarding culture.

Nomis Solutions is an equal opportunity employer committed to creating a safe, diverse and inclusive environment. We encourage qualified applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, nationality, and education levels to apply. If you are contacted for an interview and require accommodations during the interviewing process, please let us know.