Lead AIML Engineer (Regression)
Confirmed on the employer's own hiring board on Oct 24, 2026. First seen by Alion on Sep 21, 2026.
Job Title: AIML Engineer/Sr AIML Engineer (Data Science)
Locations: Hyderabad | Bangalore
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-Certified™ (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
Summary:
The ideal candidate should possess deep expertise in Python, machine learning, statistical modeling, pricing and promotion analytics, and cloud-based analytics platforms (preferably GCP). This role requires strong leadership capabilities to manage cross-functional analytics teams while partnering closely with business stakeholders to drive measurable business outcomes.
The candidate should have strong experience in CPG (Consumer Packaged Goods) and Revenue Growth Management (RGM), with expertise in pricing, promotion effectiveness, demand modeling, and commercial analytics. Location: Hyderabad(On the need basis). Shift Timing: Normal(Day Shift). End of Curated JD. Job Description: The Data Science Tech Lead is responsible for overseeing the end-to-end technical scoping and delivery of advanced analytics projects, ensuring they meet business and performance requirements with precision and measurable impact. This role combines expert-level Python and machine learning expertise, and familiarity with GCP, alongside strong stakeholder management, solution design guidance, and project execution to drive data-driven value across commerce, consumer, and supply chain functions. The Data Science Tech Lead acts as a strategic partner to CPG business teams while managing cross-functional analytics delivery teams for timely, high-quality statistical and ML solutions. The lead also ensures solutions adhere to IT and coding best practices while aligning with CPG business needs. Well versed with Pricing promo modeling having strong background in RGM/CPG.