CrossCountry Consulting
B2B • Finance • Enterprise
CrossCountry Consulting is a business advisory firm that provides integrated solutions for financial and risk management. Their expertise includes technical accounting, financial reporting, operational accounting optimization, and integrated risk management. The company also specializes in technology-enabled transformation, supporting organizations with finance transformation, data transformation, and analytics. CrossCountry Consulting serves various industries such as financial services, life sciences, technology, media, telecommunications, real estate, hospitality, and government contracting. With a focus on strategic finance, the firm helps clients through transactions like IPO readiness, mergers and acquisitions, and divestitures. They aim to create present and future value for businesses by collaborating with CFOs, private equity sponsors, and corporate leaders to solve current challenges and prepare for future success.
Senior Consultant, Data Scientist – AI & Intelligent Automation
November 14
CrossCountry Consulting
B2B • Finance • Enterprise
CrossCountry Consulting is a business advisory firm that provides integrated solutions for financial and risk management. Their expertise includes technical accounting, financial reporting, operational accounting optimization, and integrated risk management. The company also specializes in technology-enabled transformation, supporting organizations with finance transformation, data transformation, and analytics. CrossCountry Consulting serves various industries such as financial services, life sciences, technology, media, telecommunications, real estate, hospitality, and government contracting. With a focus on strategic finance, the firm helps clients through transactions like IPO readiness, mergers and acquisitions, and divestitures. They aim to create present and future value for businesses by collaborating with CFOs, private equity sponsors, and corporate leaders to solve current challenges and prepare for future success.
📋 Description
• Support implementation of retrieval-augmented generation (RAG) solutions using vector databases (Pinecone, pgvector). • Collaborate with data engineers and cloud architects to integrate AI models with ERP, CRM, and workflow tools. • Apply MLOps practices for model versioning, testing, and deployment (MLflow, Kubeflow, Vertex AI). • Design and maintain data pipelines for structured and unstructured data. • Monitor and optimize model performance, cost, and accuracy; implement telemetry for drift and governance. • Interview clients to identify root causes of challenges; define and document technical and business requirements. • Create technical documentation, presentations, and demonstrations for both technical and non-technical audiences. • Contribute to the creation of automation accelerators and reusable code modules for the practice. • Build and operationalize AI agents and intelligent workflows using frameworks such as LangChain, LlamaIndex, or similar tools. • Design and deploy AI solutions across cloud platforms (Azure, AWS, GCP) using modern containerization (Docker, Kubernetes) and CI/CD workflows. • Contribute to developing and implementing firm-approved, AI-enabled solutions for clients, in accordance with company policies on data protection, intellectual property, and professional standards. • Stay informed about emerging AI tools and techniques and collaborate with firm leadership to identify compliant opportunities to enhance client solutions and internal processes. • Support business development activities by contributing to proposals, proof-of-concepts, and client presentations.
🎯 Requirements
• 3–5 years of professional experience developing and deploying AI/ML models and intelligent automation solutions in business or consulting environments, working with complex datasets and delivering production-ready solutions. • Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, or a related field. • Relevant cloud certifications (AWS ML, Azure AI Engineer, GCP ML Engineer) and tool certifications (Databricks, Snowflake, MLflow) preferred. • Proficiency in SQL and Python; experience with Git, Docker, Kubernetes preferred. • Understanding of data security, access control, and compliance standards.
🏖️ Benefits
• comprehensive healthcare options, including medical, dental, and vision coverage • flexible spending accounts • 401(k) with company matching • generous parental and maternity leave policies • technology stipends • wellness reimbursement programs
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