> Markdown version of [/jobs/ext/1387841-junior-data-scientist](https://www.wearedevelopers.com/jobs/ext/1387841-junior-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Junior Data Scientist - **Company:** Mergent, Inc. - **Location:** United States (Remote available) - **Experience:** Starter - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, BASIC (Programming Language), Big Data, Continuous Integration, Data Cleansing, Data Transmissions, Web Scraping, Data Systems, Relational Databases, Github, R (Programming Language), Python (Programming Language), Machine Learning, Natural Language Processing, Named Entity Recognition, NumPy, SQL Databases, Enterprise Data Management, Data Processing, Feature Engineering, Large Language Models, Deep Learning, Gitlab, Git, Pandas, Core Data, Scikit Learn, Information Technology, Data Analytics, Machine Learning Operations, Software Coding, Data Pipelines, Data Generation - **Published:** July 22, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/p6l9i5yyhp ## About the Role The position requires strong expertise in analytics, NLP, deep learning, and data communication, along with ability to learn financial content and core D&A business processes. The individual must know the newer technologies and collaborate operations groups and specialized machine learning teams to deliver scalable, high-impact solutions., * 0-3 years of experience in data science, analytics, or statistical modelling (including internships or academic projects). * Foundational knowledge in data analytics, feature engineering, ML, NLP, LLMs, and RAG workflows. * Proficiency with Python and familiarity with core data science libraries (Pandas, NumPy, Scikit-learn, etc.). * Experience using Git and exposure to CI/CD pipelines (GitLab/GitHub runners). * Understanding of relational databases, statistics, and basic statistical programming concepts. * Ability to work with large datasets and perform data cleaning, transformation, and exploratory analysis. * Exposure to MLOps fundamentals and experience working with cloud platforms (AWS/Azure). * Ability to set and uphold coding standards. * Apply AI Agents and human-AI collaboration frameworks, embracing AI as a productivity amplifier across business functions * Understanding Synthetic Data generation techniques to overcome real-data scarcity, enhance model robustness, and support privacy-preserving AI development * Strong analytical thinking, problem-solving ability, and prioritization skills. * Effective communication skills and ability to explain technical concepts clearly. * Ability to collaborate across teams, take feedback, and work on shared goals. * Hands-on experience with leading commercial or open-source data management tools. * Excellent written, verbal, and presentation skills, with the ability to present to peers, senior management, and cross-functional partners. * Broad business awareness and understanding of relevant internal business relationships. * Ability to resolve complex business challenges using deep technical knowledge and industry insight. Preferred * Exposure to financial services, investment banking, or related domains. * Familiarity with Refinitiv or LSEG platforms and datasets. * Working with distributed or global teams. Education: * Master's degree in Statistics, Mathematics, or Computer Science with a Data Science certification, or an Engineering degree specializing in Data Science and Artificial Intelligence. * Proficiency in Python, R, and SQL. ## Description * Work to the development of data acquisition, normalization, transformation, and processing workflows as part of the enterprise data management framework. * Support the design and improvement of financial analytics data pipelines, helping integrate tools and services to create smooth, end-to-end user experiences. * Work with analytics domain to understand data requirements and translate them into clear tasks, models, or pipeline components under the guidance of senior team members. * Assist in implementing data solutions by collaborating with engineering, product, and project delivery teams. * Participate in building and evaluating machine learning and deep learning models, including NLP, LLMs, and RAG-based approaches. * Help create evaluation frameworks that measure the effectiveness of automation and AI solutions. * Carry out data processing tasks such as web scraping, entity extraction, and pre-/post-processing of structured, semi-structured, and unstructured documents (e.g., PDFs, scanned files). * Support cloud-based development (AWS or similar), including onboarding workloads and following CI/CD and MLOps guidelines. * Know the latest with emerging technologies, analytics techniques, and financial data trends to continually improve your skills. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [WeAreDevelopers LIVE - Modern DevOps for IoT Devices and More](https://www.wearedevelopers.com/videos/1805-wearedevelopers-live-modern-devops-for-iot-devices-and-more) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)