Position:
Data Science Analyst
Company:
Novartis Healthcare Private Limited
Location:
Hyderabad, India
Job type:
Full-time
Job mode:
Onsite
Job requisition id:
REQ-10058317
Years of experience:
0-2 years (we suggest people with 0-3 years should apply)
Company Description:
Novartis is a globally recognized pharmaceutical company focused on reimagining medicine to improve and extend people's lives.
The company leverages innovative science, digital technologies, and data science to develop transformative treatments.
Novartis ranks among the top companies globally in research and development investments.
Their products reach nearly a billion individuals globally.
The workforce includes around 125,000 employees from over 140 countries, emphasizing global collaboration and diversity.
With a mission-driven approach, Novartis aims to expand access to medicines, especially in areas of unmet medical need.
The organization is also deeply committed to sustainability, inclusion, and ethical practices.
Novartis provides a transparent recruitment process and does not engage in fraudulent hiring practices.
It offers an inclusive environment that supports employees' personal and professional growth.
Accessibility and accommodation are key values, with dedicated processes in place for individuals with disabilities.
Profile Overview:
This entry-level position is designed for freshers or professionals with up to 2 years of experience.
The selected candidate will contribute to solving medical challenges through data science and analytics.
The role involves mining diverse data sources, managing data pipelines, and applying statistical and machine learning models.
The analyst will support efforts to derive insights that aid decision-making and improve business processes.
The position includes collaboration with supervisors and team members for continuous learning and guidance.
Gradually, the candidate will transition to more independent handling of projects and data analysis.
Key responsibilities involve developing data management methods, exploring analytical models, and delivering meaningful insights.
The analyst will ensure high-quality report delivery in alignment with organizational goals.
The role also includes exposure to business problems and the translation of those into data-centric solutions.
Candidates will learn and apply various tools, data sources, and research methodologies.
Qualifications:
A background in data science, statistics, computer science, or a related field.
Strong foundational understanding of data analysis and statistical techniques.
Proficiency or familiarity with tools like Python, R, SQL, and data visualization platforms.
Awareness of machine learning techniques including regression, classification, clustering, and deep learning.
Knowledge of database management, data mining, and data quality practices.
Exposure to analytical concepts such as time series analysis, logistic regression, and random forest models.
Ability to manage and interpret structured and unstructured data.
Interest in continuously learning and adopting new analytical methods.
English language proficiency for global communication.
Commitment to ethical data handling and collaboration.
Additional Info:
The role is located at the Hyderabad office of Novartis in India.
Shift work is not applicable to this position.
This is a regular employment opportunity offering a stable work environment.
Candidates are expected to report technical complaints or special scenarios within 24 hours.
Distribution of marketing samples may be part of the role, depending on business requirements.
Novartis provides a network of professionals and learning communities.
The selected candidate will benefit from the company’s global reach and professional development infrastructure.
Novartis supports employees with a benefits and rewards program covering personal and career growth.
Reasonable accommodations are available for candidates with medical conditions or disabilities.
The analyst will work on projects with limited scope, gradually growing into more complex assignments.
Please click here to apply.
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