Principal, Data Science Consulting

**Responsibilities**:

- Provide technical leadership and strategic expertise in ML and AI by driving the design, development, and implementation of ML/AI solutions for clients
- Plan, execute, design, and deliver responsible AI systems and the corresponding measurement strategies that align the right solution with client needs
- Connect across the organization to drive AI adoption in other verticals-envision new products, solutions, offerings, and other differentiators
- Engage with clients to understand their business challenges and requirements, and effectively communicate how ML/AI solutions can address them
- Collaborate with data scientists and engineers, fostering confidence through your own depth of technical expertise to lead teams tactically as a peer and a mentor
- Monitor the latest advancements within ML/AI emerging technologies, proactively recommending new approaches while understanding their impact within a complex regulatory environment
- Perform as the liaison between business, legal, and technology stakeholders across this company and within our client engagements
- Shape ML solutions and properly scope/price engagements, establishing optimal operating models and project team organization, and leading the transition from the sales process to the delivery phase
- Foster and maintain strong relationships with clients, ensuring their satisfaction through effective project delivery, clear communication, and timely issue resolution
- Engage executive/C-level client stakeholders to help them drive enterprise-wide agenda to maximize AI adoption
- Support sales and pre-sales activities by assessing Data opportunities, responding to RFPs, and creating proposal presentations

**Requirements**:

- Extensive experience working in a leadership role within Data Analytics, Machine Learning & AI
- Proven track record designing and implementing ML/AI solutions
- Deep understanding of Machine Learning including deep learning, statistics fundamentals, human-computer interaction, CNN/RNN, transformer models, LLMs (RAG), privacy-preserving ML, and security fundamentals
- Demonstrated experience driving multidisciplinary and geographically distributed teams to deliver AI products
- Comfortable engaging and influencing senior stakeholders to secure funding or sell ML/AI projects
- Ability to explain complex technical concepts to both technical and non-technical audiences
- Proficient in programming languages such as Python and ML libraries/frameworks such as PyTorch/TensorFlow
- Excellent problem-solving skills and the ability to analyze complex business requirements and translate them into practical ML/AI solutions
- Familiar with working within a highly regulated industry or in a technology-adjacent regulatory function
- Master’s degree in computer science, data science, statistics, or a related field

**Benefits**:

- Extended Healthcare with Prescription Drugs, Dental and Vision Insurance, and Healthcare Spending Account (Company Paid)
- Maternity/Parental/Adoption Leave Top-up
- Life and AD&D Insurance (Company Paid)
- Employee Assistance Program (Company Paid)
- Long-Term Disability
- Registered Retirement Savings Plan (RRSP) with company match
- Paid Time Off
- Critical Illness Insurance
- Employee Stock Purchase Program
- Employee Discounts
- Unlimited access to LinkedIn learning solutions

**About Company**:

- This Company is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential

**Additional**: