Data Scientist (Regression Models)

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

Benefits offered by this job

Health insurance (self & family)

Virtual wellness platform

Knowledge communities

Job summary

Tiger Analytics in Hyderabad is seeking a Senior/Lead AIML Engineer (Data Science) to lead end-to-end machine learning initiatives. The role emphasizes building advanced models, data-driven insights, and close collaboration with clients to define objectives and deliver tangible outcomes.

You will mentor a team, apply cutting-edge techniques, and contribute to scalable, maintainable codebases while staying ahead of industry trends.

Qualifications

• As a Senior/Lead AIML Engineer, 6-10 years of DS and model development experience.
• Proficiency in Python with modular, scalable end-to-end project execution.
• Strong problem solving and ability to communicate findings clearly to clients.
• Solid knowledge of regression/classification and SQL for data analysis.
• Experience with ML techniques (clustering, time series, ensembles) applied to real problems.
• Capable of mentoring a team and owning deliverables end-to-end.

Responsibilities

• Lead and develop sophisticated ML models and predictive analytics.
• Write clean, maintainable Python/R code using TensorFlow/PyTorch/scikit-learn.
• Explore data, derive insights, and translate them into actionable business outcomes.
• Collaborate with clients to understand objectives and communicate findings.
• Own end-to-end model development from problem framing to deployment.
• Coordinate with data engineers, software developers, and stakeholders.
• Stay updated on DS trends and bring innovative ideas to the team.
• Mentor juniors and contribute to project planning and reviews.

Skills

Python programming

Data analysis

Problem solving

Communication

Mentoring

Tools

TensorFlow

PyTorch

scikit-learn

SQL

R

Job description

Hyderabad

JOB DESCRIPTION

Job Title: Senior/Lead AIML Engineer (Data Science) Locations: Hyderabad

Who we are

Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer fullstack 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

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

As a Senior/Lead AIML Engineer, Your role will involve

• Lead and contribute to developing sophisticated machine learning models, predictive analytics, and statistical analyses to solve complex business problems.
• Demonstrate proficiency in programming languages such as Python or R, with the ability to write clean, efficient, and maintainable code. Experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) is essential.
• Use your robust problem-solving skills to develop data-driven solutions, analyse complex datasets, and derive actionable insights that lead to impactful outcomes.
• Work closely with clients to understand their business objectives, identify opportunities for analytics-driven solutions, and communicate findings clearly and promptly.
• Take ownership of end-to-end model development, from problem definition and data exploration to model training, validation, and deployment.
• Collaborate with cross-functional teams, including data engineers, software developers, and business stakeholders, to integrate analytics solutions into business processes.
• Leverage a profound understanding of mathematical and statistical principles to guide developing and validating advanced data science models.
• Stay abreast of industry trends, emerging technologies, and best practices in data science, bringing innovative ideas to the team and contributing to continuous improvement.

What do we expect?

• 6-10 years of total DS and model development experience
• A passion for writing high-quality code (Python), and the code should be modular, scalable, and end-end project execution while planning an active hands-on role
• Having good problem-solving skills is essential, and it is equally important to have in-depth knowledge to solve complex problems effectively.
• Comprehensive knowledge of the regression and classification concepts and mathematical backend along with SQL
• Idea about other machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc.) to their real-world problems
• Encourage collaboration with various stakeholders and take complete ownership of deliverables.
• Adept understanding of various data science approaches, machine learning algorithms, and statistical methods.
• Excellent communication skills with presentability, articulation, storytelling capability, and ability to manage complex client situations
• Effective mentoring of a team with expertise in industry/domain/functional areas.

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

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
• knowledge communities