Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

As a Data Scientist, you will support the development, evaluation, and deployment of AI and NLP models used in our products. You will contribute to building and optimizing components of our GenAI, RAG, and NLP pipelines, working closely with senior data scientists, software engineers, and subject matter experts in chemistry and biology. You will work throughout the whole life cycle of data science projects: design, implementation, production and beyond. You will deliver efficient and production-ready Python code. You will collaborate closely with developers to deploy and productionize our data science pipelines and with subject matter experts in biology and chemistry domains to validate the output. This role is ideal for candidates with foundational knowledge of NLP/ML who are eager to learn, take ownership of tasks, and grow into more advanced responsibilities.

Responsibilities

• Assist in collecting, cleaning, and preparing structured and unstructured data for model development.
• Contribute to ML/NLP model prototyping and evaluation, including defining basic quality metrics with guidance.
• Support optimization of Retrieval Augmented Generation (RAG) components such as document ingestion, retrieval, and preprocessing.
• Help design and test model inference pipelines, transformer-based models, and GenAI applications.
• Develop well-structured, production-ready Python modules for preprocessing, model execution, and evaluation.
• Collaborate with developers to integrate data science components into production workflows.
• Support end-to-end quality validation of deployed pipelines and help monitor model performance over time.
• Stay informed about emerging ML and NLP techniques and tools relevant to ongoing projects.
• Communicate results in a clear, structured way to technical and non-technical stakeholders.
• Work with senior team members on both independent tasks and small-scale project ownership.

Requirements

• MSc/MTech in Computer Science, Data Science, Artificial Intelligence, Mathematics, Statistics, Bioinformatics, or a similar quantitative field OR Bachelor’s degree + 1–2 years of relevant experience.
• Some applied experience with ML or NLP projects (internships, academic work, or industry roles).
• International study or work exposure is a plus.
• Solid Python programming skills for data analysis and model development.
• Basic familiarity with transformer models and modern NLP techniques.
• Experience using LLMs via APIs, prompt engineering, or experimentation with GenAI tools.
• Understanding of RAG concepts and willingness to learn how to implement them.
• Exposure to cloud environments (AWS, Azure, Bedrock) or interest in learning deployment workflows.
• Familiarity with common ML algorithms (e.g., logistic regression, SVMs, random forests) and model evaluation practices.
• Experience with GitHub/GitLab and Agile ways of working.
• Strong analytical and problem-solving mindset.
• Curiosity and willingness to learn new technologies.
• Clear communication and ability to work in a collaborative, cross-functional team.

Skills

• GenAI
• ML
• NLP
• Python
• Transformer models
• LLMs via APIs
• Prompt engineering
• GenAI tools
• RAG concepts
• Cloud environments (AWS, Azure, Bedrock)
• ML algorithms
• Model evaluation
• GitHub/GitLab
• Agile
• Agent frameworks (LangChain or similar)
• Databricks
• OpenSearch
• Deep learning fundamentals
• Software engineering practices
• CI/CD workflows

Location

• Remote
• Hybrid
• Onsite

Work Type

• Full-time

Experience Level

• 1-2 years of relevant experience

Education Level

• MSc/MTech in Computer Science, Data Science, Artificial Intelligence, Mathematics, Statistics, Bioinformatics, or a similar quantitative field
• Bachelor’s degree

Benefits

• Wellbeing initiatives
• Shared parental leave
• Study assistance
• Sabbaticals
• Flexible working hours

About the Company

• As a global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society.
• Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice.
• At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future.
• We harness innovative technologies to support science and healthcare to partner for a better world.
• We know your well-being and happiness are key to a long and successful career.
• We are committed to providing a fair and accessible hiring process.
• Elsevier is a global leader in advanced information and decision support for science and healthcare.
• We believe that by working together with the communities we serve, we can shape human progress to go further, happen faster, and benefit all.
• We support continuous discovery and uphold the highest standards of content integrity, reliability, and reproducibility so the communities we serve can advance their field of science, healthcare or innovation with confidence.
• By combining high-quality content with powerful analytics, we transform complexity into clarity and deliver mission-critical insights that help professionals make better decisions when it matters most.
• We deliver insights that help research institutions, governments, and funders achieve their goals.
• We help researchers discover and share knowledge, collaborate, and accelerate innovation.
• We help librarians provide verified, quality information to universities.
• We help innovators turn knowledge into new products.
• We help health professionals improve patient care and educators train the next generation of doctors and nurses.
• Connecting quality content and innovative technologies, we make progress go further and happen faster.
• And by championing inclusion and sustainability, we ensure progress benefits all.
• With 9,500 employees, over 2,300 technologists in 5 major tech hubs, and more than 60 locations across the globe, we are committed to supporting the scientific and healthcare communities around the world.
• We offer a diverse range of opportunities across technology, commercial, business, and early career jobs.
• If you are looking for a career that inspires progress in science, innovation and health, and allows you to grow every day, find your team at Elsevier.
• Elsevier is part of RELX Group.
• Let’s shape progress together.
• Join us.

Equal Opportunity

• We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
• USA Job Seekers: EEO Know Your Rights.