Role Overview:As a Data Scientist Consultant at Chryselys, you will leverage advanced analytics, machine learning, and AI to transform complex datasets into actionable insights that drive strategic decision-making for our clients in the pharmaceutical and healthcare industries. You will work closely with cross-functional teams, including client stakeholders, business consultants, and analytics experts, to develop predictive models, optimize operations, and deliver innovative solutions that address critical business challenges.
Key Responsibilities:

- Design, develop, and implement machine learning models and algorithms to analyze pharmaceutical datasets in global markets and provide actionable insights.
- Utilize advanced statistical techniques and data science methodologies to drive insights from complex data sources.
- Build and maintain data pipelines and scalable machine learning models on Data Lake architecture, leveraging cloud-based platforms such as AWS (Redshift, S3, SageMaker, etc.).
- Collaborate with cross-functional teams to translate business problems into data science solutions.
- Create and present data visualizations, dashboards, and reports using tools like PowerBI, Tableau, Qlik, QuickSight, and ThoughtSpot to communicate findings and recommendations to clients.
- Conduct exploratory data analysis, data profiling, and feature engineering to prepare datasets for predictive modelling.
- Evaluate model performance, optimize algorithms,



and ensure robustness and accuracy in predictions.
- Stay current with the latest advancements in data science, machine learning, and AI, and apply them to ongoing projects.

What You Bring:

- Education: Bachelor's or master's degree in data science, statistics, computer science, engineering, or a related quantitative field with a robust academic record.
- Experience: 4-6 years of experience in data science, particularly in the pharmaceutical or healthcare industry, working with key datasets like Sales, Claims, and Payer data.
- Skills:
- Proficiency in programming languages such as Python and R, with a deep understanding of libraries like TensorFlow, Scikit-learn, and Pandas.
- Strong experience with SQL and cloud-based data processing environments such as AWS (Redshift, Athena, S3), and experience with Jupyter Notebooks/SageMaker.
- Demonstrated ability to build data visualizations and communicate insights through tools like PowerBI, Tableau, Qlik, QuickSight, or similar.
- Strong analytical skills, with experience in hypothesis testing, A/B testing, and statistical analysis.
- Ability to manage multiple projects, prioritize tasks, and meet deadlines in a fast-paced workplace.
- Excellent communication and presentation skills, with the ability to explain complex data science concepts to non-technical stakeholders.
- A strong problem-solving mindset, with the ability to adapt and innovate in a dynamic consulting environment.

📌 Consultant - Data Science (Pharma Commercial) (Hyderabad)
🏢 CHRYSELYS
📍 Hyderabad