Architect/Sr. Architect (DS Pharma) - Data and AI

Tiger Analytics; Chennai District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Tiger Analytics in India is seeking an Architect/Sr. Architect – Data and AI to lead end-to-end data science workstreams for pharma commercial analytics and to mentor a team of data scientists and ML engineers.

The role demands 8–12 years of hands-on experience in data science within pharma or life sciences, strong Python/SQL skills, and familiarity with cloud platforms and modern data stacks. This is a senior, client-facing position with growth opportunities.

Qualifications

• 8–12 years of experience in data science / advanced analytics, with pharma or life sciences exposure.
• Hands-on experience across pharma commercial use cases: segmentation, targeting, MMM, forecasting.
• Working knowledge of pharma data sources (Rx data, claims, CRM, etc.).
• Proficiency in Python, SQL, and standard ML/statistical modeling techniques.

Responsibilities

• Lead end-to-end data science workstreams for pharma analytics engagements.
• Translate business problems into technical models, designs, and delivery plans.
• Mentor data scientists and ML engineers on model development and productionization.
• Ensure technical quality: code reviews, model performance, documentation, reproducibility.
• Partner with engineering to operationalize models into dashboards, APIs, platforms.
• Bridge offshore delivery teams and onshore account leads for timely outputs.

Skills

Python

SQL

ML algorithms

Statistics

Deep Learning

Time-series

Tools

Snowflake

Databricks

Azure

AWS

GCP

Job description

Architect/Sr. Architect (DS Pharma) - Data and AI

Job Description

Architect/Senior Architect – Data and AI

Who we are

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-CertifiedTM (2022-26), 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

Curious about the role? What your typical day would look like?

Key Responsibilities (not limited - other areas within Pharma domain welcome)

• Lead end-to-end delivery of data science workstreams for pharma commercial analytics engagements, spanning use cases including but not limited to segmentation & targeting, alignment, goal setting, forecasting
• Translate business problems from onshore/client stakeholders into technical approaches, model designs, and delivery plans.
• Guide a team of data scientists and ML engineers on model development, validation, and productionization.
• Own technical quality - code review, model performance, documentation, reproducibility
• Partner with engineering teams to operationalize models into analytical products (dashboards, APIs, platforms)
• Function as a bridge between offshore delivery teams and onshore account leads, ensuring timely, high-quality outputs.
• Contribute to proposal and solutioning efforts for new pharma opportunities as needed.
• Mentor and grow data science talent within the pod.

What do we expect?

• 8–12 years of experience in data science / advanced analytics, with meaningful exposure to pharma or life sciences commercial analytics
• Hands-on experience across pharma commercial use cases such as segmentation & targeting, omnichannel analytics, marketing mix modeling (MMM), patient finding, forecasting, patient journey analytics.
• Working knowledge of pharma commercial data sources such as prescription (Rx) data (e.g. IQVIA, Symphony), medical/pharmacy claims data, HCP and patient-level datasets, CRM/call activity data, primary and secondary market data
• Strong skills in Python, SQL, and standard ML/statistical modeling techniques (regression, time-series, classification, clustering)
• Comfortable working directly with onshore stakeholders - effective communication and stakeholder management skills
• Experience with cloud platforms (Azure/AWS/GCP) and modern data stacks (Snowflake, Databricks) is a plus.
• Familiarity with pharma-specific data privacy and compliance considerations (e.g. HIPAA, PHI handling) is a plus.

You are important to us, let’s stay connected!

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.

Mandatory Skills

Data Science,Visualization,Natural Language Processing,Machine Learning,Pharma Domain,Statistics,Deep Learning