You'll lead the design, development, and deployment of data-driven and AI-powered solutions that enhance customer value, streamline operations, and create meaningful, data-informed experiences for our employees.

As a Senior Data Scientist, your primary responsibilities include :

- Lead end-to-end data science initiatives, including data exploration, model development, validation, implementation, and support for mission-critical applications.

- Collaborate closely with cross-functional data teams to automate data science pipelines and integrate models into business workflows and digital platforms.

- Partner with business units in a consultative and collaborative manner, advising on the most effective approaches to leverage data science and Generative AI technologies to deliver innovative, high-impact solutions.

Key Elements :

We are looking for the following minimum qualifications for this role :

- Masters with a minimum of 5 years experience or Bachelors with a minimum of 7 years experience in Data science, Computer science, Statistics, Operations research, applied mathematics, applied physics or any related field;

- Excellent analytical and problem-solving skills with the ability to approach challenges creatively

- Strong communication skills to translate the findings into actionable business recommendations through rich data visualization

- Familiar with Agile methodologies and tools

- Self-driven and capable of working both independently and collaboratively within a team setting.

- Experience in or strong understanding of the life science industry, particularly in leveraging data

science to support operational excellence, is preferred.

Technical Expertise required :

- Minimum of 5 years hands-on experience processing, analyzing and modeling large and complex data sets.

- Minimum of 3 years experience with the full Machine Learning product lifecycle, with a demonstrated

ability to take initiative and ensure proactive delivery of project milestones.

- Minimum of 5 years experience working with development toolsets such as SQL, PySpark, Python, Pandas or Scala.

- Experience with Generative AI technologies for scientific document reading, summarization, and generation, including prompt engineering, retrieval pipelines, and LLM fine-tuning for domain-specific applications.

Role Specific Information:

- Location: Remote

- Annual bonus based on performance;

- Schedule: Monday to Friday during business hours;

- Permanent position as of the hiring, full-time 40hrs per week.

Role : Data Scientist

Industry Type : IT Services & Consulting

Department : Data Science & Analytics

Employment Type : Full Time, Permanent

Role Category : Data Science & Machine Learning

Education :

UG: Any Graduate