Junior Data Scientist Jobs

Health Data Science Junior Research Scientist

$47,500 - $65,000/yr

New York University: NYU - NY: School of Global Public Health Location New York, NY Open Date Feb 02, 2026 Description Position Title: Health Data Science Junior Research Scientist School: NYU's School of Global Public Health | Biostatistics Supervisor: Dr. Rumi Chunara (Principal Investigator) Schedule: Full-Time Employment Dates: March 2, 2026 - August 28, 2027 About the Center for Health Data Science (CHDS) The Center for Health Data Science (CHDS) at NYU is a hub for transdisciplinary research with a global outlook, focused on data-driven analyses for public health. CHDS leverages cutting-edge machine learning and artificial intelligence to drive impactful research while ensuring models perform robustly across population groups. The Center is a leader in holistic data science and machine learning, emphasizing best practices in machine learning and AI while also collaborating extensively with private and public partners to translate research into real-world applications. CHDS values pluralistic knowledge discovery and action, working across disciplines and with practitioners to address community needs. Position Summary The Junior Research Scientist will support CHDS’s research initiatives by applying data science techniques to health-related challenges. This role will also involve collaborating with NYU Langone Health and the Institute for Excellence in Health Equity on interdisciplinary quality improvement and research projects. The ideal candidate will have a strong foundation in data analysis, problem-solving, and an eagerness to learn. They should have experience in leveraging data science for public health and an interest in exploring topics such as healthcare and social determinants, collaborative public health interventions, and policy implications. This role is ideal for early-career researchers seeking to expand their experience and contribute to meaningful projects in health data science. This position is offered for a duration of up to two years, with performance evaluations conducted at designated midpoints throughout the contract period. Key Responsibilities * Conduct data-driven research in health data science, applying machine learning and analytical techniques to public health challenges. * Collaborate with supervisors on research projects related to health policy, healthcare, and disease prevention. * Data management, organization, and documentation to support research efforts. * Assist in designing and implementing data analysis strategies for health-related programs and initiatives. * Contribute to research dissemination through reports, web posts, manuscript drafts, and conference presentations. * Perform other duties as needed to support CHDS initiatives. Additional Position-Specific Responsibilities * Proficiency in data analysis tools and programming languages, with experience in machine and deep learning workflows and handling large, complex health datasets. * Strong skills in developing analysis and evaluation strategies and effectively applying them in research projects. * Experience in data visualization and the ability to communicate technical findings to diverse audiences. * Excellent written and verbal communication skills, with the ability to engage both technical and non-technical stakeholders. * Ability to exercise independent judgment, critical thinking, and discretion in problem-solving and decision-making. * Familiarity with statistical analysis tools and frameworks for health data analysis. * Strong organizational and project management skills, with the ability to manage multiple priorities and meet deadlines. * A collaborative mindset with strong problem-solving and customer service skills to engage effectively with teams and stakeholders. Qualifications * Bachelor's or Master's degree in a related field (e.g., data science, computer science, biostatistics) with at least 2 years of relevant research or data analysis experience. * Demonstrated experience with data analysis in applied health research or professional settings beyond coursework. * Experience working with and communicating to stakeholders. * Detail oriented, a strong analytic proclivity, proactive attitude, growth mindset, high quality organizational and teamwork skills. Preferred Qualifications * Experience contributing to health research projects or evaluations, with involvement in publications, presentations, or technical reports. * 1–3 years of experience in health research or evaluation roles with progressively responsible contributions. Application Instructions Please apply via Interfolio application. In compliance with NYC’s Pay Transparency Act, the annual base salary range for this position is $47,500-$65,000. New York University considers factors such as (but not limited to) scope and responsibilities of the position, candidate’s work experience, education/training, key skills, internal peer equity, as well as market and organizational considerations when extending an offer. Application Process This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.

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Junior Data Scientist - AI Practice Team

Junior Data Scientist

Junior Data Scientist

Junior Data Scientist - AI Practice Team

ABS is seeking an exceptional Junior Data Scientist to join us full-time on our Artificial Intelligence (AI) Practice Team, Europe. In this role, you will support AI consulting engagements focused on policy, data, and document-centric solutions by preparing, analyzing, and modeling client data as part of a multidisciplinary delivery team. Working closely with senior data scientists, consultants, and domain experts, you will help turn real-world datasets into actionable insights, features, and reusable assets that underpin our AI solutions. Based in Warrington or London, England with some remote flexibility, you will gain exposure to modern AI, data tooling, and industrial use cases while building robust, production-aware analytics skills. What You Will Do: Support AI consulting engagements by cleaning, structuring, and analyzing client data (tabular, time-series, and document-based) to enable modeling and insight generation. Contribute to development, testing, and documentation of machine learning models, analytics pipelines, and proof-of-concept solutions under guidance from senior data scientists. Work with our document and data services to extract, transform, and enrich information from reports, PDFs, logs, and other unstructured sources using NLP and related techniques. Build and maintain basic dashboards, reports, and visualizations (e.g., in Python, Power BI, or similar tools) to communicate findings to consultants and client stakeholders. Collaborate with consultants and domain experts to translate business questions into analytical tasks, validate results, and refine approaches based on feedback. Help maintain clean, reproducible project assets (code, notebooks, datasets, documentation) using modern collaboration and version control tools. What You Will Need: Education and Experience Bachelor’s degree in a STEM discipline (e.g., Data Science, Computer Science, Engineering, Mathematics, Statistics) or related field, or equivalent practical experience. 2+ years of combined experience through projects, internships, or professional roles applying data science/ML methods and tools. Practical experience applying core techniques in data preprocessing, modeling, and evaluation using Python, SQL, and common ML libraries. Exposure to AI/ML or analytics projects in academic, research, or professional environments, ideally with real-world or messy datasets. Familiarity with cloud-based and modern data platforms (e.g., Azure, AWS, GCP, Databricks) and BI tools is a plus but not mandatory. Knowledge, Skills, and Abilities Strong foundation in data science/ML concepts and statistics, with hands-on experience in Python (e.g., pandas, scikit-learn) and working with SQL-based data sources. Ability to clean, structure, and analyze real-world datasets, including unstructured or semi-structured data (e.g., documents, logs, text). Comfortable working with Jupyter notebooks and Git-based workflows for reproducible and version-controlled analysis. Clear, structured communication skills, including the ability to explain analytical work and findings to non-technical stakeholders in a concise, business-relevant way. Collaborative mindset and willingness to learn, taking feedback from senior team members and adapting quickly to new tools, methods, and domains. Organized, detail-oriented working style, with the ability to manage tasks across multiple projects and meet deadlines reliably. Must hold a valid right to work status in the UK. Nice to Have Experience applying ML/NLP to real datasets (e.g., classification, forecasting, document information extraction, OCR, LLMs, or search/retrieval systems). Exposure to cloud platforms (Azure/AWS/GCP), ML tooling (e.g., Databricks, MLflow, Docker), and BI/visualization tools (Power BI, Tableau). * Any exposure to industrial, maritime, or asset-intensive domains, or to consulting/client-facing environments. Reporting Relationships: Thiis role reports to the Senior Data Scientist and does not include direct reports.