Recognition reflects Tiger’s culture of trust, impact, and everyday learning
At Tiger Analytics, we’ve always believed that when people feel trusted, inspired, and supported, they don’t just deliver great work they grow, lead, and redefine what’s possible. Our inclusion in the top 10 list of Analytics India Magazine’s “50 Best Firms for Data Scientists to Work For in 2025” is a reflection of this belief in action.
For us, this isn’t just a spot on a list. It’s a celebration of the way we work and more importantly, how it feels to work here.
Where Autonomy and Impact Go Hand in Hand
Being a data scientist today means solving complex, evolving problems with a mix of technical depth, creativity, and adaptability. At Tiger, our people are given the space to lead those solutions, not just execute them.
“There’s a strong culture of trust, respect, and openness to diverse perspectives. You’re given the freedom to take ownership, and success is always seen through a team-first mindset, when the team wins, you win” says Tamal Panja, Associate Director, Data Science, who’s been with Tiger for several years.
That ownership extends from day one. Teams are empowered to shape projects, engage directly with clients, and choose the methods and tools that best solve the problem — not just the ones that are trending.
“My primary job is to ensure we deliver the best possible solution within the given time,” says Arnab Mukherjee, Partner – Data Science. “That means truly understanding the problem and finding practical, high-impact answers. Some standouts: deploying 50+ marketing analytics models in one quarter for a global CPG client, preventing potential train derailments using computer vision, and helping a U.S. bank significantly boost marketing efficiency — all driven by strong collaboration and clarity of purpose.”
Product Thinking, Enterprise Impact
Another dimension that sets Tiger apart is the kind of opportunities our data scientists get to work on. Many are involved in product development initiatives for some of the world’s leading enterprises bringing the depth and continuity of product thinking to the dynamic, fast-paced world of client services.
This unique blend allows teams to solve long-term, high-impact challenges while enjoying the diversity and learning that comes from working across domains. It’s a setting where data scientists can build, iterate, and take real ownership of solutions that are designed to scale, combining the best of both product and services worlds.
What further elevates the experience is the breadth of exposure. Data scientists here work across industries like retail, CPG, BFS, and insurance, gaining domain depth while also expanding their technical range across cloud technologies, machine learning, NLP, GenAI, and more. And they get to learn from some of the best minds in the business including award-winning experts and several “40 under 40 Data Scientists” honorees.
A Culture That Encourages Learning and Unlearning
One thing that stands out across Tiger teams is the desire to keep learning not because it’s required, but because it’s encouraged and supported. Whether it’s working on cutting-edge problems in Generative AI, MLOps, or Agentic AI, or simply being part of a knowledge-sharing circle, learning happens as part of the everyday rhythm here.
Experimentation is welcomed. New ideas are heard. Failure, when it happens, becomes fuel for the next iteration.
“People are encouraged to bring bold ideas to the table,” shares Rama Ayalasomayajula, Director, Data Science. “You’re trusted to lead, supported to grow, and inspired to think beyond the obvious. That makes all the difference.”
Mentorship That Happens Organically
While Tiger has formal mentorship programs, what truly shapes growth is how people learn from one another in real time. Whether you’re a new hire or a senior associate, there’s always someone willing to guide, challenge, or simply listen.
“Mentorship at Tiger isn’t limited to formal programs, it’s part of how we work,” says Aseem Sharma, Associate Director, Data Science. “You’re constantly learning from experienced colleagues who genuinely want to see you grow. There’s always someone willing to cheer you on.”
Collaboration, Not Silos
Problem-solving at Tiger is rarely a solo exercise. Teams are cross-functional by design combining data scientists, engineers, domain experts, and product managers to co-create solutions that are robust, scalable, and meaningful.
It’s not just about delivering a model that works, it’s about delivering value that sticks.
Recognition That Belongs to the Team
This AIM Top 10 recognition belongs to everyone at Tiger not just because of the work they do, but because of the way they show up for each other. It’s a reflection of a workplace where people feel valued, challenged, and supported and where they can do some of the most meaningful work and build a great career.
At Tiger, we’re not just building AI solutions. We’re building a culture where curiosity meets capability, where people grow through purpose, and where work feels like more than just a job.
