CHRYSELYS

Consultant - Data Science

CHRYSELYS

IndiaPosted about 1 month ago
full time
Onsite
Salary
Not disclosed
Posted: July 22, 2026
|
Source: external

Required Skills

Python
SQL
R
Machine Learning
TensorFlow
Pandas
AWS
Tableau
Data Science
Data Analysis

About This Role

**We’re Hiring: Consultant– Insights \& Analytics (Data Science) at Chryselys****Location:** Hyderabad**Department:** Insights \& Analytics**Job Type:** Full\-time**Reports To:** Manager **About Us:****Chryselys** is a Pharma Analytics \& Business consulting company that delivers data\-driven insights leveraging AI\-powered, cloud\-native platforms to achieve high\-impact transformations. We specialize in digital technologies and advanced data science techniques that provide strategic and operational insights.**Who we are:****People \-** Our team of industry veterans, advisors and senior strategists have diverse backgrounds and have worked at top tier companies.**Quality \-** Our goal is to deliver the value of a big five consulting company without the big five cost.**Technology** \- Our solutions are Business centric built on cloud native technologies. **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 strong 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 environment. - 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. **How to Apply:** Ready to make an impact? Apply now by clicking \[here] or visit our careers page at https://chryselys.com/chryselys\-career Please include your resume and a cover letter detailing why you’re the perfect fit for this role. **Equal Employment Opportunity:** Chryselys is proud to be an Equal Employment Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.**Connect with Us:** Follow us for updates and more opportunities: https://linkedin.com/company/chryselys/mycompany**Discover more about our team and culture:** http://chryselys.com Note: This is a third party job (Aggregated by careeruplift.ai). Shortlisting and Final hiring decision & process is handled by the company.

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