In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale. Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best…
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We are a global leader in AI and Analytics. We provide certainty to shape a better tomorrow.
In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale. Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best practices, and forge new ones. If you’re keen to reimagine what AI can do for some of the toughest problems out there, come join our team of 5000+ brilliant technologists and consultants. Explore opportunities across our offices in the US, India, Canada, Mexico, UK, Spain, Singapore and Australia.
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Tiger Analytics Inc.
6+ YOECandidates need 6-10 years of experience, at least 5 in data analytics, and a blend of business consulting and analytics skills. Strong SQL, Python or R, visualization tools, and project and team management are required.
SQL, R, Python, Qlik, Tableau, Hadoop HDFS
Tiger Analytics Inc.
8+ YOECandidates need 8 to 13 years of professional experience, at least 7 in data analytics, and a deep understanding of pharma datasets and KPIs. They also need strong SQL, R or Python, and Power BI or Tableau skills, plus project and team management ability. A business analytics or MBA degree or equivalent experience is required.
Python, R, SQL, Databricks, Power BI, Tableau
Tiger Analytics Inc.
8+ YOETiger Analytics needs 8-10 years of business analytics, consulting, or similar experience, ideally in Retail or CPG. Candidates need strong business curiosity, hands-on data skills, excellent communication, and interest in applying GenAI and AI agents.
Excel, SQL, Python, BI and visualization tools, GenAI tools, AI agents
Tiger Analytics Inc.
10+ YOECandidates need 10 to 15 years of business analytics or consulting experience, strong Retail/CPG knowledge, and hands-on skills in SQL, BI tools or Python. Strong stakeholder management, executive communication and exposure to GenAI or AI agents are also expected.
SQL, Python, BI tools
Tiger Analytics Inc.
Candidates need hands-on experience with Google Cloud and Vertex AI, strong Python skills, and experience with generative AI, APIs, and scalable system design. The posting asks for advanced skills in RAG, agent frameworks, and fine-tuning.
Vertex AI, BigQuery, Dataflow, Pub/Sub, Cloud Run, Cloud Functions
Tiger Analytics Inc.
5+ YOECandidates need a bachelor's degree or higher in computer science or a related field and 5+ years of work experience. They must know Python, Spark, Hadoop and Docker, and be able to run production pipelines, containers and cloud environments.
Python, Spark, Hadoop, Docker, Kubernetes, Airflow
Tiger Analytics Inc.
10+ YOE5+ MgmtCandidates need 10 to 15+ years in software engineering, with 5+ years leading AI/ML teams and experience deploying enterprise AI platforms on AWS. Strong client-facing and solution architecture skills are required.
AWS Bedrock, AgentCore, Lambda, ECS, EKS, API Gateway
Tiger Analytics Inc.
2+ YOECandidates need strong production Python experience, at least 2 years building multi-agent AI systems, and hands-on work with LLM structured outputs, vector databases and AI testing. Experience with delivery management and client-facing technical leadership is expected.
Snowflake Cortex, LangGraph, AutoGen, CrewAI, LlamaIndex, FastAPI
Tiger Analytics Inc.
6+ YOECandidates need 6+ years of hands-on experience with data governance and production knowledge graphs, strong Neo4j and Cypher skills, and experience governing data across on-premise and cloud systems. They must be based in Toronto or able to work on-site there full-time.
Neo4j, Cypher
Tiger Analytics Inc.
5+ YOECandidates need 5+ years in software engineering, machine learning or AI roles, hands-on experience with LangGraph, MCP and agent-to-agent design, and LLM fine-tuning. They also need reinforcement learning, experiment design, proven ways to reduce hallucinations, and strong Python skills.
LangGraph, Python
Tiger Analytics Inc.
Candidates need experience building data pipelines and cloud ETL/ELT processes on Snowflake and GCP, plus Dataiku expertise. They should be able to apply AI document and text tools and tune complex SQL and Python at petabyte scale.
Dataiku, Snowflake, Snowpark, BigQuery, Cloud Storage, Dataflow
Tiger Analytics Inc.
12+ YOECandidates need 12+ years in software engineering and architecture, deep Azure cloud experience, and hands-on work with AI/ML or Generative AI platforms. They also need strong skills in API design, security architecture, and event-driven systems.
Microsoft Azure, Azure OpenAI, Azure AI services
Tiger Analytics Inc.
7+ YOECandidates need 7+ years of software and AI engineering experience, strong Python skills, and hands-on work with generative AI models and AWS. Experience with CI/CD, RAG, agent frameworks and evaluation tools is expected.
AWS Bedrock, Pinecone, Weaviate, pgvector, LangChain, CrewAI
Tiger Analytics Inc.
Candidates need advanced Google Cloud and Vertex AI skills, hands-on experience with LLM frameworks, vector databases and model serving, and strong Python. They must also be able to explain AI limits to clients and travel to client sites.
Vertex AI, Google Kubernetes Engine, Terraform, Google Cloud SDK, LangChain, LlamaIndex
Tiger Analytics Inc.
Candidates need hands-on Google Cloud Vertex AI experience, advanced SQL for BigQuery and Python for machine learning. They also need experience with cloud storage, model endpoints, data preprocessing and agentic AI architectures.
Vertex AI, BigQuery, Spanner, AlloyDB, Dataflow, Google Cloud Storage
Tiger Analytics Inc.
Candidates need hands-on experience with LLM frameworks, vector databases, model serving and multi-cloud infrastructure, plus strong Python skills. Travel to client sites is required.
Terraform, OpenTofu, Kubernetes, LangChain, LlamaIndex, AutoGen
Tiger Analytics Inc.
7+ YOECandidates need 7+ years in software, ML or AI engineering, strong Python skills, and hands-on experience building GenAI or agentic AI systems in production. Experience with at least one major cloud (AWS, Azure or GCP) and strong customer-facing communication are also required.
Python, Amazon Bedrock, Azure OpenAI Service, Vertex AI, OpenSearch Serverless, Azure AI Search
Tiger Analytics Inc.
12+ YOECandidates need 12+ years of data engineering experience with a focus on AWS and AI, 8+ years running production data pipelines, and advanced Python, SQL and PySpark skills.
Snowflake, Databricks, AWS, dbt, Apache Spark, PySpark
Tiger Analytics Inc.
12+ YOECandidates need 12 to 16 years of work experience, at least 8 in data analytics, and the ability to engage executive clients. They also need knowledge of statistics and machine learning, pharma data sources, and an MBA or business analytics degree or equivalent experience.
IQVIA Xponent, Veeva CRM, Plantrak, LAAD, TriNetX, Flatiron
Tiger Analytics Inc.
10+ YOECandidates need 10+ years in software or AI/ML work, strong Python skills, experience deploying LLM and GenAI solutions, and experience leading technical teams while staying hands-on. Client-facing communication and stakeholder management are essential.
Python, FastAPI, Docker, Kubernetes, LangChain, LangGraph
Tiger Analytics Inc.
8+ YOECandidates need 8+ years in software architecture, system integration or machine learning engineering, including 2-3 years productionizing AI or LLM solutions. Preferred experience with Azure Databricks.
Azure Databricks
Tiger Analytics Inc.
5+ YOECandidates need 5-8 years of Oncology or Life Sciences experience, strong requirement-gathering and client-facing skills, and hands-on basic SQL. Proven work with offshore teams and strong communication and presentation skills are also required.
SQL
Tiger Analytics Inc.
5+ YOECandidates need at least 5 years of software, machine learning or AI experience, plus hands-on work with LangGraph, MCP, A2A design, LLM fine-tuning and reinforcement learning. They also need experiment design, reducing hallucinations, and strong Python skills.
LangGraph, Python
Tiger Analytics Inc.
12+ YOECandidates need 12+ years in software engineering or solution architecture, strong Azure cloud-native design experience, and hands-on work with GenAI or AI/ML platforms. Experience with APIs, security patterns, CI/CD and event-driven systems is required.
Microsoft Azure, Azure OpenAI
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