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Company Overview
A leading global professional services organization delivers consulting, strategy, technology, and operations solutions to clients worldwide. The company specializes in AI, data science, cloud, and analytics, helping businesses, governments, and other organizations transform operations, accelerate growth, and enhance stakeholder value. With a large global workforce and deep industry expertise, the organization combines technology leadership with functional insights to create measurable, sustainable impact.
Summary
The AI & Data Decision Science Consultant will leverage advanced analytics, machine learning, and AI technologies to create innovative decision-making systems. The role requires a combination of strong analytical skills, technical expertise, and the ability to communicate complex findings to both technical and non-technical stakeholders. The consultant will support projects across industries and functions, helping clients adopt AI-driven solutions to drive efficiency and value.
Responsibilities
Assist in the delivery of Data Science, AI, and Analytics initiatives and programs
Collaborate with onshore and offshore teams to execute projects effectively
Bridge business and technical domains for internal and external stakeholders
Engage with business and analytics stakeholders to understand needs and build relationships
Support the sales process by contributing to solutioning for DS & ML opportunities
Develop and customize DS/ML/AI models and solutions for specific business problems
Collaborate across consulting, strategy, and technology teams in sales and delivery processes
Identify AI use cases by understanding organizational goals, building business cases, calculating ROI, and creating transformation roadmaps
Advise organizations on responsible AI adoption and governance, including training, solution maintenance, and tracking results
Travel up to 80% as required by client engagements
Qualifications
Bachelor’s Degree in Data Science, Computer Science, Statistics, or a related field
3+ years of experience in Data Science, Machine Learning, AI, or Advanced Analytics
Experience building decision-based frameworks and models to drive insights
Proven track record of delivering data-driven solutions and large-scale projects
Experience leading workstreams, meeting deadlines, and consulting engagements
Proficiency in programming languages such as Python, R, or SQL
Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
Knowledge of AI Native and cloud platforms (e.g., OpenAI, Anthropic, AWS, Azure, Google Cloud)
Experience with big data technologies (e.g., Hadoop, Spark)
Knowledge of agent-based modeling, reinforcement learning, and autonomous systems is desirable
Proficiency in data visualization tools (e.g., Tableau, Power BI)
Strong analytical, problem-solving, program management, and communication skills
Fluent in English, both spoken and written
Master’s degree in Data Science, Computer Science, Statistics, or a related field is preferred
Disclaimer
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1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality. 2. No Client Relationship: This company is not a client of SpringCube unless stated. 3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job. 4. No Liability: SpringCube is not liable for inaccuracies.
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