Job Description

We re Hiring: Consultant - Insights Analytics 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 (e.g., IQVIA, Symphony, Veeva, Open data) 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: Bachelors or masters degree in data science, statistics, computer science, engineering, or a related quantitative field with a strong academic record. Experience: 5-7 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 impactApply 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: / / www.linkedin.com / company / chryselys / mycompany / Discover more about our team and culture: www.chryselys.com