Education|Principal,Science,IT & Telecoms,IT & Telecoms|Data Scientist,Science|Scientist,Education Jobs

Shape the Future of AI. Transform the World's Leading Businesses.

Tiger Analytics is one of the fastest-growing AI services firms, partnering with some of the world's largest and most influential organizations to redefine how business gets done. We help Fortune 500 companies harness the power of Artificial Intelligence, Generative AI, Data Science, Data Engineering and Advanced Analytics to solve their most complex challenges, unlock new growth opportunities, and create lasting business impact.

We are at the forefront of the AI revolution, helping enterprises move beyond traditional analytics to embrace Generative AI, agentic AI, intelligent automation, and cloud-native data platforms. A global presence across North America, Latin America, Europe, and India

At Tiger Analytics, we don't just help businesses adapt to the future—we help them build it

We are looking for a Lead Data Scientist with strong experience in pharmaceutical commercial analytics, patient-level modeling, and healthcare data science. The ideal candidate will have hands-on experience working with US claims and real-world data (RWD) to develop predictive models, generate actionable insights, and optimize HCP engagement and commercial strategies.

The role requires strong technical expertise, leadership capabilities, and the ability to work directly with clients and present analytical findings to senior stakeholders.

Responsibilities:

• Develop patient- and HCP-level models to support patient identification, treatment switching, and therapy persistence.
• Build predictive models and analytics solutions to drive next-best-action recommendations and multichannel engagement strategies.
• Design and evaluate experiments, including holdout groups and lift measurement, to assess the effectiveness of commercial campaigns.
• Apply explainable machine learning techniques, including gradient boosting and SHAP, to improve model transparency and interpretability.
• Analyze US healthcare claims, real-world data (RWD), CRM, and promotional data to generate actionable business insights.
• Work with large datasets using Python, SQL, and platforms such as Databricks or Snowflake.
• Lead a client-facing data science team, ensuring high-quality delivery and alignment with business objectives.
• Present analytical findings, model outcomes, and strategic recommendations to brand leadership and other senior stakeholders.
• Collaborate with cross-functional teams to translate business challenges into scalable data science solutions.

Requirements

• Strong experience in pharmaceutical commercial analytics and healthcare data science.
• Hands-on experience working with US healthcare claims and real-world data, using platforms or providers such as IQVIA, Komodo Health, or PurpleLab.
• Experience with Veeva CRM data and pharmaceutical promotional data.
• Expertise in patient-level and HCP-level modeling, including patient identification, treatment switching, and persistence.
• Experience developing next-best-action models and multichannel analytics solutions.
• Strong knowledge of experimental design, holdout strategies, and campaign lift measurement.
• Proficiency in Python and SQL, with experience using Databricks or Snowflake.
• Experience with gradient boosting techniques and explainable AI methods such as SHAP.
• Proven ability to lead data science teams, manage client relationships, and communicate insights to senior stakeholders.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Shape the Future of AI. Transform the World's Leading Businesses.

Tiger Analytics is one of the fastest-growing AI services firms, partnering with some of the world's largest and most influential organizations to redefine how business gets done. We help Fortune 500 companies harness the power of Artificial Intelligence, Generative AI, Data Science, Data Engineering and Advanced Analytics to solve their most complex challenges, unlock new growth opportunities, and create lasting business impact.

We are at the forefront of the AI revolution, helping enterprises move beyond traditional analytics to embrace Generative AI, agentic AI, intelligent automation, and cloud-native data platforms. A global presence across North America, Latin America, Europe, and India

At Tiger Analytics, we don't just help businesses adapt to the future—we help them build it

We are looking for a Lead Data Scientist with strong experience in pharmaceutical commercial analytics, patient-level modeling, and healthcare data science. The ideal candidate will have hands-on experience working with US claims and real-world data (RWD) to develop predictive models, generate actionable insights, and optimize HCP engagement and commercial strategies.

The role requires strong technical expertise, leadership capabilities, and the ability to work directly with clients and present analytical findings to senior stakeholders.

Responsibilities:

• Develop patient- and HCP-level models to support patient identification, treatment switching, and therapy persistence.
• Build predictive models and analytics solutions to drive next-best-action recommendations and multichannel engagement strategies.
• Design and evaluate experiments, including holdout groups and lift measurement, to assess the effectiveness of commercial campaigns.
• Apply explainable machine learning techniques, including gradient boosting and SHAP, to improve model transparency and interpretability.
• Analyze US healthcare claims, real-world data (RWD), CRM, and promotional data to generate actionable business insights.
• Work with large datasets using Python, SQL, and platforms such as Databricks or Snowflake.
• Lead a client-facing data science team, ensuring high-quality delivery and alignment with business objectives.
• Present analytical findings, model outcomes, and strategic recommendations to brand leadership and other senior stakeholders.
• Collaborate with cross-functional teams to translate business challenges into scalable data science solutions.

Requirements

• Strong experience in pharmaceutical commercial analytics and healthcare data science.
• Hands-on experience working with US healthcare claims and real-world data, using platforms or providers such as IQVIA, Komodo Health, or PurpleLab.
• Experience with Veeva CRM data and pharmaceutical promotional data.
• Expertise in patient-level and HCP-level modeling, including patient identification, treatment switching, and persistence.
• Experience developing next-best-action models and multichannel analytics solutions.
• Strong knowledge of experimental design, holdout strategies, and campaign lift measurement.
• Proficiency in Python and SQL, with experience using Databricks or Snowflake.
• Experience with gradient boosting techniques and explainable AI methods such as SHAP.
• Proven ability to lead data science teams, manage client relationships, and communicate insights to senior stakeholders.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job Description

AECOM is seeking a Principal Power Systems Data Scientist to support electric utilities, transmission owners, distribution companies, ISOs/RTOs, renewable developers, government agencies, and large energy users across North America. This role focuses on applying advanced analytics, data science, artificial intelligence, machine learning, and power system expertise to solve complex challenges in transmission and distribution planning, grid operations, asset management, reliability, and grid modernization.

The successful candidate will lead the development of innovative, data-driven solutions that help clients address emerging challenges related to load growth forecasting, data center integration, distributed energy resources (DERs), renewable energy expansion, electrification, energy storage, resilience, and infrastructure investment planning.

This individual will serve as both a technical leader and trusted advisor, guiding the application of advanced analytical methods, predictive modeling, optimization techniques, and digital solutions to accelerate system planning and grid modernization efforts. The role requires the ability to communicate complex technical findings to diverse audiences, including utility leadership, regulators, engineers, planners, and non-technical stakeholders, while helping shape AECOM’s growing capabilities in power systems analytics and data science.

The job responsibilities of the position will include but are not limited to:

 

• Lead the development and application of advanced analytics, machine learning, and artificial intelligence solutions to address transmission and distribution planning challenges.
• Analyze large and complex utility datasets, including load, outage, SCADA, AMI, DER, market, asset, and operational data, to identify trends, risks, and planning opportunities.
• Develop forecasting models for load growth, electrification, distributed energy resources (DERs), electric vehicles, data centers, and other emerging grid impacts.
• Collaborate with planners and engineers to enhance power system studies through data-driven approaches, including reliability, resilience, asset health, capacity, and risk assessments.
• Support large-load and data center integration studies by evaluating growth scenarios, infrastructure requirements, and system impacts.
• Design and implement predictive models, optimization frameworks, and scenario analyses to support long-term transmission and distribution investment planning.
• Develop analytical methodologies to assess the impacts of renewable energy, energy storage, grid modernization initiatives, and evolving customer demand patterns.
• Create dashboards, visualization tools, and decision-support applications that enable clients to translate complex technical analyses into actionable business insights.
• Evaluate emerging technologies, advanced analytics platforms, and digital solutions to improve utility planning, operations, and asset management processes.
• Mentor engineers, and analysts while helping to build and grow AECOM’s Grid Modernization practice.
• Support business development activities, proposal preparation, thought leadership, and client engagement efforts related to grid analytics, digital transformation, and power system planning.
• Apply industry best practices and standards while integrating advanced analytical techniques into utility planning, reliability, and modernization programs.