Job Description

Data Scientist III

Are you interested in working with data and analytics to solve problems

Are you interested in bringing your GenAI, ML and NLP expertise to projects

About our Team

Data Science Corporate Markets is a diverse team focusing on GenAI, ML, NLP. We mainly develop best-in-class enrichment pipelines for Elsevier's corporate markets .com products such as Reaxys, Embase and Pharmapendium.

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, includin 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-base 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.

Nice-to-Have Skills

Experience with agent frameworks (LangChain or similar).
Familiarity with Databricks, OpenSearch.
Knowledge of deep learning fundamentals (e.g., neural networks,
transfer learning).
Basic understanding of software engineering practices and CI/CD workflows

Work in a way that works for you: -We promote a healthy work/life balance across the organization. With an average length of service of 9 years, we are confident that we offer an appealing working prospect for our people. With numerous wellbeing initiatives, family leave and tuition reimbursement, we will help you meet your immediate responsibilities and long-term goals.

Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.

Working for you:

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
- Comprehensive Health Insurance: Covers you, your immediate family, and parents.
- Enhanced Health Insurance Options: Competitive rates negotiated by the company.
- Group Life Insurance: Ensuring financial security for your loved ones.
- Group Accident Insurance: Extra protection for accidental death and permanent disablement.
- Flexible Working Arrangement: Achieve a harmonious work-life balance.
- Employee Assistance Program: Access support for personal and work-related challenges.
- Medical Screening: Your well-being is a top priority.
- Modern Family Benefits: Maternity, paternity, and adoption support.
- Long-Service Awards: Recognizing dedication and commitment.
- New Baby Gift: Celebrating the joy of parenthood.
- Subsidized Meals in Chennai: Enjoy delicious meals at discounted rates.
- Various Paid Time Off: Take time off with Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, and Gazetted Public Holidays.
- Free Transport pick up and drop from the home -office - home (applies in Chennai)

About the business:

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. What you do every day will help advance science and healthcare to advance human progress.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-855-833-5120.

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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.

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