Slalom Flex Project Based- AI Data Scientist

General Information

Locations

• Charlotte, NC
• Denver, CO
• New York, NY

Business Function

Data & analytics

Date posted

Monday, July 13, 2026

Ref #

2167

Description and Requirements

Job Description

AI Data Scientist

Location: Denver, CO; Charlotte, NC; or New York City, NY

Work Arrangement: Hybrid

Employment Type: Contract

Duration: 6 months

About Us

Slalom is a purpose-led, global business and technology consulting company. From strategy to implementation, our approach is fiercely human. In six+ countries and 43+ markets, we deeply understand our customers-and their customers-to deliver practical, end-to-end solutions that drive meaningful impact. Backed by close partnerships with over 400 leading technology providers, our 10,000+ strong team helps people and organizations dream bigger, move faster, and build better tomorrows for all. We're honored to be consistently recognized as a great place to work, including being one of Fortune's 100 Best Companies to Work For seven years running. Learn more at Slalom.com.

About the Role

We are seeking an experienced AI Data Scientist to join a high-impact data and AI team focused on advancing enterprise analytics, machine learning, and emerging Agentic AI capabilities. This role is ideal for a hands-on practitioner who thrives at the intersection of data science, cloud technology, and artificial intelligence.

The successful candidate will work within a mature data science environment, partnering with cross-functional teams to develop scalable models, optimize data assets, and support AI-driven business initiatives. The position combines traditional data science responsibilities with the exploration and implementation of next-generation AI solutions, including autonomous and agent-based systems.

What You'll Do

• Design, develop, and deploy machine learning and AI solutions that address complex business challenges.
• Build and maintain predictive, statistical, and generative AI models using large-scale enterprise datasets.
• Develop and optimize data models that support analytics, reporting, machine learning, and AI workloads.
• Collaborate with data engineers, architects, product teams, and business stakeholders to identify opportunities for AI-driven innovation.
• Contribute to the design and implementation of Agentic AI solutions and intelligent automation workflows.
• Perform exploratory data analysis, feature engineering, model training, validation, and performance monitoring.
• Leverage Snowflake as the enterprise data platform for analytics and machine learning initiatives.
• Develop scalable solutions within an AWS cloud environment, utilizing cloud-native services where appropriate.
• Communicate findings, recommendations, and technical concepts clearly to both technical and non-technical audiences.
• Support ongoing business-as-usual (BAU) analytics and data science initiatives while contributing to strategic AI programs.

What You'll Bring

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
• 5+ years of experience in data science, machine learning, or advanced analytics roles.
• Proven experience designing and deploying production-grade machine learning models.
• Strong expertise in data modeling, statistical analysis, and predictive analytics.
• Experience working in enterprise data science environments with large and complex datasets.
• Hands-on experience with AI and machine learning technologies, including generative AI applications.
• Experience developing solutions within AWS cloud environments.
• Strong experience working with Snowflake and cloud-based data platforms.
• Proficiency in Python and common data science libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
• Experience with SQL and large-scale data analysis.
• Strong problem-solving, communication, and stakeholder management skills.

Preferred Qualifications

• Experience building or supporting Agentic AI frameworks, autonomous AI agents, or AI orchestration platforms.
• Familiarity with large language models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and AI application development.
• Experience with MLOps, model governance, monitoring, and deployment practices.
• Knowledge of distributed data processing and modern data architectures.
• AWS certification or advanced cloud experience is a plus.

Compensation and Benefits

Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses.

Slalom is committed to fair and equitable compensation practices. For this position, the base salary pay range is 70-85/hr. Actual compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.

EEO and Accommodations

Slalom is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration

for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements.

Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the

selection process. Please advise the talent acquisition team if you require accommodations during the interview process.

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