Data Scientist

Best Course News; Hyderabad; On-site; INR 500,000 - 1,000,000; Full time

Benefits offered by this job

Collaboration with top-tier scientists

Access to continuous learning

Inclusive workplace culture

Job summary

A leading healthcare company in Hyderabad is seeking an entry-level Data Scientist to utilize data-driven insights in healthcare. The ideal candidate should possess a degree in a relevant field and proficiency in Python or R. You will analyze complex datasets, develop machine learning models, and collaborate with diverse teams to directly impact patient outcomes. Continuous learning and career growth opportunities are provided in an inclusive work culture.

Qualifications

• 0–3 years of hands-on experience, freshers are encouraged to apply.
• Proficiency in Python or R for data analysis and model development.
• Understanding of machine learning and deep learning techniques.

Responsibilities

• Analyze large datasets to uncover insights driving decision-making.
• Develop and implement machine learning models for healthcare applications.
• Collaborate with cross-functional teams to deliver data science solutions.

Skills

Python

R

Machine Learning

Deep Learning

Natural Language Processing

Graph Neural Networks

Data Visualization

Experiment Design

Education

Bachelor’s or Master’s in Computer Science, Data Science, Statistics, Mathematics, Engineering

Tools

Power BI

Tableau

Matplotlib

Seaborn

Job description

#### Data Scientist##### Novartis Healthcare Private Limited* Hyderabad#### DescriptionPosition OverviewWe are looking for a Data Scientist (Entry-Level) who is passionate about leveraging data-driven insights to solve real-world healthcare problems. This role is ideal for recent graduates or early-career professionals eager to apply their analytical and programming skills in a scientific and innovation-driven environment.As a member of the Data Science team, you will collaborate with experts across disciplines to design, build, and deploy machine learning models and analytical solutions that support research, clinical, and business objectives.Key ResponsibilitiesAnalyze large, complex datasets to uncover insights that drive decision-making and innovation.Develop, test, and implement machine learning (ML) and deep learning (DL) models for various healthcare applications.Work on projects involving Natural Language Processing (NLP), Generative AI, and Graph Neural Networks (GNNs).Design and execute experiments to evaluate model performance and reliability.Collaborate with cross-functional teams, including data engineers, clinicians, and domain experts, to deliver scalable data science solutions.Present findings and recommendations to technical and non-technical stakeholders clearly and effectively.Required Skills & QualificationsBachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.0–3 years of hands-on experience (freshers are encouraged to apply).Proficiency in Python or R for data analysis and model development.Understanding of machine learning, deep learning, and data preprocessing techniques.Familiarity with NLP, Generative AI, and topic modeling concepts is an advantage.Strong analytical mindset and problem-solving abilities.Excellent communication skills and a collaborative work approach.Nice-to-Have SkillsKnowledge of Graph Neural Networks (GNNs), experiment design, and evaluation metrics.Experience with data visualization tools (e.g., Power BI, Tableau, Matplotlib, Seaborn).Exposure to cloud platforms (AWS, Azure, or GCP) is a plus.Why Join NovartisBe part of a global leader transforming healthcare with AI and data science.Collaborate with top-tier scientists, engineers, and researchers.Work on meaningful projects that directly impact patient outcomes.Access continuous learning and career growth opportunities.Inclusive, diverse, and innovation-driven workplace culture#### Role and Responsibilities* Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field. 0–3 years of hands-on experience (freshers are encouraged to apply). Proficiency in Python or R for data analysis and model development. Understanding of machine learning, deep learning, and data preprocessing techniques. Familiarity with NLP, Generative AI, and topic modeling concepts is an advantage. Strong analytical mindset and problem-solving abilities. Excellent communication skills and a collaborative work approach.| Designation | : | Data Scientist || Work experience | : | 0 - 1 |### Skills: