Data Scientist- Associate
The Associate Data Scientist at Confidential Client supports the development and implementation of generative AI solutions, focusing on RAG pipelines and context engineering within an established architecture. The role involves collaboration with AI engineers, applying advanced technologies like LangChain and Azure AI Search, and contributing to continuous product improvement within an agile team environment.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Financial Services.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
Confidential Client is hiring a Data Scientist - Associate to help design and deliver generative AI capabilities within its Audit Technology organization. This is an early-career role focused on learning and contributing to production-ready components of LLM-based solutions.
- Help develop and implement generative AI components, including retrieval-augmented generation (RAG) pipelines and context-engineering modules.
- Contribute to prompt engineering, optimization, and quality assurance for LLM-powered features.
- Build and test modules that integrate model outputs into a broader microservice architecture.
- Work with tools such as LangChain / LangGraph and Azure AI Search, and learn to operate within an AKS-based deployment environment.
- Execute experiments, document results, and iterate on prototypes to improve product quality.
- Participate in agile ceremonies and collaborate closely with AI engineers, data scientists, and product teams.
- Maintain professional standards and contribute to a respectful, inclusive team culture.
What We’re Looking For
- Minimum of 1 year of professional experience OR strong internship/academic project experience in data science, machine learning, or software engineering.
- Bachelor’s degree in Computer Science, Data Science, Statistics, or a related quantitative field required; Master’s preferred.
- Practical Python skills for data analysis and model experimentation.
- Familiarity with machine learning fundamentals and exposure to large language models (LLMs); experience with LangChain or similar frameworks is a plus.
- Experience or exposure to cloud platforms (preferably Azure) and data platforms such as Databricks or Microsoft Fabric.
- Understanding of software development lifecycle (SDLC) practices and version control tools (Azure DevOps, GitHub).
- Strong analytical problem-solving, attention to detail, and a collaborative mindset.
- Excellent communication skills and the ability to document technical work clearly.
Location, Eligibility & Work Authorization
This position is based in Washington, DC. Candidates must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. Confidential Client will not sponsor applicants for U.S. work visa status for this opportunity.
Compensation & Benefits (Summary)
Confidential Client offers a competitive total rewards package including medical, dental, vision options, retirement plans, time off, and wellbeing resources. Specific benefit eligibility and plan details depend on employment classification and location.
(If a specific pay range is legally required for your state or location, it will be shared during the application process or listed where applicable.)
Why Careertakes & Confidential Client
Careertakes supports applicants through this third-party recruitment process and can surface additional matched roles. Confidential Client is focused on building trustworthy, high-impact AI solutions in Financial Services and invests in early-career development, continuous learning, and diverse teams.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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