Associate Data Scientist, AI & Data Analytics

IBM

Confirmed live yesterday Trusted

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Work type: On-site
Location: —
Posted: 26 days ago
Freshness: Confirmed live yesterday

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How this pay compares to similar roles

Similar $156k

$86k most similar roles pay here $222k

This listing doesn't post a salary. Most similar roles pay $126,800–$185,225.

Based on 240 similar postings.

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About IBM

IBM is a US-based global technology company providing hybrid cloud, AI, consulting, enterprise software, and IT infrastructure products and services.

IBM currently has 506 open roles on FindRole.

Listed pay typically runs $174,632–$197,165 across 5 roles with salary data.

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At a glance

TL;DR · Associate Data Scientist, AI & Data Analytics

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Associate Data Scientist 2027 - AI & Data Analytics is a role within the IBM Consulting team where you will solve complex business problems using statistics, machine learning, and data science techniques. You will work in an Agile environment to prepare, cleanse, and analyze structured and unstructured data while building generative AI, RAG, and agentic AI workflows. The role involves evaluating model performance, designing experiments, and translating technical results into actionable recommendations for diverse stakeholders. To succeed, you must possess strong fundamentals in mathematics, statistics, and computer science. You will utilize tools such as Python, R, SQL, and TensorFlow, alongside frameworks like LangChain or LlamaIndex. Your work focuses on the practical application of AI-enabled transformations to help clients navigate challenges in digital transformation, cloud strategy, and automated process redesign through responsible AI practices.

What does a Data Scientist earn?

Median $162025 from 276 postings across 61 companies.

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Skills

Python R SQL TensorFlow Machine Learning Generative AI Agentic AI RAG LangChain LangGraph LlamaIndex Semantic Kernel AWS Azure Google Cloud Git CI/CD MLOps LLMOps Vector Databases Statistics

What you'll do

Prepare, cleanse, join, and analyze structured and unstructured data for machine learning and AI workflows.
Implement and validate predictive, prescriptive, and statistical models to achieve measurable business outcomes.
Design experiments, prompts, and evaluation datasets to assess model accuracy, reliability, and bias.
Build GenAI, RAG, and agentic AI workflows by evaluating retrieval quality and end-to-end performance.
Translate complex technical results into clear recommendations for both technical and non-technical stakeholders.
Identify critical data requirements and select appropriate modeling techniques to solve specific business problems.
Communicate with clients to understand their needs and explain the limitations of various analytical models.

What we're looking for

High School Diploma or GED required.
Bachelor's degree in a related quantitative field (preferred).
Strong fundamentals in mathematics, statistics, computer science, algorithms, and analytical reasoning.
Familiarity with programming languages such as Python, SQL, R, or similar.
Foundational understanding of predictive modeling, machine learning, GenAI, and Agentic AI.
Basic understanding of cloud environments, data platforms, or AI platforms like AWS, Azure, or Google Cloud.
Experience in data science, machine learning, or related projects/internships (preferred).
Familiarity with LLMs, RAG, vector databases, and orchestration frameworks like LangChain or LlamaIndex (preferred).

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