Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.

Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.

We are a Great Place to Work-Certified™ (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine

As a Senior/Lead Data Scientist (Pharma), you will be at the forefront of driving innovation through cutting-edge data analytics and machine learning applications in the Pharma domain. On a typical day, immerse yourself in the following:

· Analytical Translation: Translate complex business problems into sophisticated analytical structures, conceptualizing solutions anchored in statistical and machine learning methodologies.

· Problem Solving: While technical proficiency in data manipulation, statistical modeling, and machine learning is crucial, the ability to apply these skills to solve real-world business problems is equally vital.

· Client Engagement: Establish a deep understanding of clients' business contexts, working closely to unravel intricate challenges and opportunities.

· Algorithmic Expertise: Develop and refine algorithms and models, sculpting them into powerful tools to surmount intricate business challenges.

· Quantitative Mastery: Conduct in-depth quantitative analyses, navigating vast datasets to extract meaningful insights that drive informed decision-making.

· Cross-Functional Collaboration: Collaborate seamlessly with multiple teams, including Consulting and Engineering, fostering relationships with diverse stakeholders to meet deadlines and bring Analytical Solutions to life.

· 6-8 years of Data Science Experience in the Pharma domain, with demonstrated proficiency and hands-on experience building data science solutions in the area of Commercial Analytics.

· Good understanding of Real-World Data (such as patient claims data, specialty pharmacy, EMR, market access data, consumer data) and their use cases in pharmaceutical/healthcare research

· Good communication skills, both verbal and written. Exhibit a fervour for crafting modular, scalable, and bug-free Python code.

· Comfortable in SQL with additional proficiency in office tools like Excel & PowerPoint. Experience in production engineering best practices (e.g. Git versioning, Docker).

· Excitement to collaborate with diverse stakeholders across the organization.

· In-depth understanding of various data science approaches, machine learning algorithms, and statistical methods. Hunger to learn new technologies and embrace change.

Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.

Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.

Additional Benefits: Health insurance (self & family), virtual wellness platform, and knowledge communities.