Job Description

Data Scientist (LLMs, Modeling, AI Applications)

Location : Hybrid in San Francisco or London — open to exceptional candidates across Europe & the United States
Team : AI / Data Science
Experience : 5+ years
Compensation : Competitive salary + Metrics-Based Bonus + Equity
Other perks : Unlimited holiday
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Build the Intelligence Layer for the AI Native Command Center

CRED is building the AI Native Command Center — a platform that helps businesses make smarter decisions by unifying internal and external data, enriching it with insights, and powering intelligent agents and workflows. From the PGA to global media brands, we’re helping forward-thinking teams automate strategy and predict the future.

We recently raised a $10M+ seed round and are growing quickly. At the core of our platform is a rich ecosystem of data and decision logic — powered by LLMs, retrieval systems, and domain-specific intelligence. As a Data Scientist at CRED , you’ll help design, build, and deploy these intelligent systems.

This is a rare opportunity to work at the intersection of applied AI , data infrastructure , and real business use cases .

What You’ll Do

• Build and deploy models that power intelligent workflows — including LLM agents , ranking systems , and classification engines

• Design and implement RAG (Retrieval-Augmented Generation) pipelines that connect structured data with LLMs

• Tune and evaluate foundation models (e.g. OpenAI, Claude, Mistral) for context-aware reasoning, summarization, and decision support

• Work closely with product, engineering, and design to shape features that combine AI with user experience

• Create evaluation frameworks, data labeling strategies, and feedback loops to improve model quality over time

• Contribute to our internal LLM stack , including tools for memory, retrieval, grounding, and orchestration

• Operate within weekly sprints , shipping production-ready work fast and iteratively

How We Work

We operate with speed and clarity. Our sprint cycles are weekly, our feedback loops are tight, and our goal is always shipping intelligence that delivers value. You’ll work across a collaborative team of engineers, PMs, and domain experts to bring AI to life.

What We’re Looking For

• 5+ years of experience in data science, applied ML, or AI product development

• Strong understanding of LLMs , retrieval systems , and prompt engineering

• Hands-on experience with RAG pipelines , embeddings, vector stores, and grounding strategies

• Proficient in Python and popular ML/LLM frameworks (e.g. LangChain, OpenAI, Hugging Face, etc.)

• Familiar with designing, training, and evaluating models — supervised and unsupervised

• Experience deploying models into production and building closed-loop systems

• Strong communication skills and ability to work across disciplines

• Passion for working in high-speed, early-stage environments

Bonus Points

• Experience with real-world business applications of AI — sales, partnerships, ops, or customer intelligence

• Knowledge of GraphQL, BigQuery, or backend systems

• Experience building internal tooling for data annotation, model evaluation, or prompt iteration

• Familiarity with tools like Pinecone, Weaviate, Redis Vector, or Vespa

• Background in NLP, knowledge graphs, or multi-modal models

Why Join CRED?

At CRED, you’ll help invent the intelligence stack for how modern businesses operate. You’ll work with large-scale data, the latest in AI and LLM infrastructure, and a team obsessed with speed, quality, and purpose. If you're excited about building intelligent systems that actually get used — and used daily by the world’s leading organizations — we’d love to hear from you.

Apply now or contact us at careers@credplatform.com with any questions.

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