513 Lead Data Scientist jobs in Hyderabad

Tezo is a new generation Digital & AI solutions provider, with a history of creating remarkable outcomes for our customers. We bring exceptional experiences using cutting-edge analytics, data proficiency, technology, and digital excellence.

Tezo is seeking passionate AI Engineers who are excited about harnessing the power of Generative AI to transform our company and provide cutting-edge solutions for our clients. Join us in revolutionizing enterprises by building intelligent, generative solutions that leverage AI/ML. If you've ever dreamed of contributing to impactful projects on a large scale, this is the opportunity for you!

In this role, you will be an integral part of the Machine Learning Platforms/Data Science team, focusing on developing, testing, and deploying generative AI models.

What Makes Our AI/ML Practice Unique:

• Purpose-driven: We actively respond to our customers' evolving needs with innovative solutions.
• Collaborative: We foster a positive and engaging work environment where collective ideas thrive.
• Accountable: We take ownership of our performance, both individually and as a team.
• Service Excellence: We maximize our potential through continuous learning and improvement.
• Trusted: We empower individuals to make informed decisions and take calculated risks.

Job Summary:

We are looking for a dedicated Lead Data Scientist with a strong background in Generative AI to join our team. You will support product, leadership, and client teams by providing insights derived from advanced data analysis and generative modeling.

In this role, you will collaborate closely with the development team, architects, and product owners to build efficient generative models and manage their lifecycle using the appropriate technology stack.

Core Requirements:

• At least 6 years of experience working with geographically distributed teams
• 2+ years of experience working in a client-facing role on AI/ML .
• Demonstrable experience in leading a substantive area of work, or line management of a team.
• Proven experience in building production grade Retrieval-Augmented Generation (RAG) solutions with hands on experience with advanced RAG techniques for retrieval, re-ranking etc.
• Build GenAI applications using LangChain, LlamaIndex and familiarity with Vector Stores and Large Language Models.
• Experience in fine-tuning Large Language Models (LLMs) for business use cases will be preferred.
• Minimum of 4 years of experience in developing end-to-end classical machine learning and NLP projects.
• Demonstrated experience in deploying ML solutions in production using cloud services like Azure,AWS.
• Business Understanding, Stakeholder management and Team leading skills.
• Strong practical expertise in Python and SQL needed for data science projects.

Join us at Tezo to be part of a dynamic team committed to driving innovation through Generative AI solutions!

Description

We are seeking a highly skilled Lead Data Scientist to join our team and lead a project focused on developing novel data science models and machine learning algorithms to solve complex problems.

In this role, you will be responsible for designing, developing, and implementing data science models and machine learning algorithms, including data pre-processing, training, optimization, and evaluation of models. You will work collaboratively with data engineers and data scientists to collect, pre-process, and curate datasets suitable for training, and train and fine-tune machine learning/deep learning models using large-scale datasets and distributed computing frameworks.

Responsibilities

Requirements

We offer

We are seeking a highly skilled Lead Data Scientist with experience in pricing optimization, pricing elasticity, and AWS SageMaker. The ideal candidate will have a strong foundation in Statistics and Machine Learning, with a particular focus on Bayesian modeling. As part of our Data Science team, you will work closely with clients to develop advanced pricing strategies using state-of-the-art tools and techniques, including AWS SageMaker, to optimize business outcomes.

Key Responsibilities:

• Lead and contribute to the development of pricing optimization models, leveraging statistical and machine learning techniques to inform strategic decisions.
• Analyze pricing elasticity to predict consumer response to changes in price, helping clients maximize revenue and market share.
• Implement and deploy machine learning models using AWS SageMaker for scalable and efficient performance in a cloud environment.
• Utilize Bayesian modeling to support decision-making processes, providing insights into uncertainty and model predictions.
• Collaborate with cross-functional teams to integrate data-driven insights into business processes.
• Communicate complex results and findings in a clear and concise manner to both technical and non-technical stakeholders.
• Continuously explore and experiment with new modeling approaches and tools to improve accuracy and efficiency of pricing solutions.

Experience : 7+ Years 

• Bachelor’s or Master’s degree in Data Science, Statistics Mathematics Economics, or a related field. Advanced degrees preferred.
• 7+ years of hands-on experience in data science, with a focus on pricing optimization and elasticity modeling.
• Expertise in Bayesian modeling and machine learning techniques.
• Proven experience working with AWS SageMaker for model development, deployment, and monitoring.
• Familiarity with AWS Certified Data Analytics – Specialty certification is a plus.
• Strong programming skills in Python (preferred) or R.
• Experience with cloud platforms (AWS preferred), including SageMaker.
• Proficiency in statistical analysis tools and libraries (e.g., NumPy, Pandas, PyMC3, or similar)
• Excellent problem-solving and analytical thinking skills.
• Ability to work in a fast-paced environment and manage multiple projects.
• Strong communication skills with the ability to explain complex concepts to non-technical audiences.

Preferred Qualifications:

• Experience with A/B testing, econometrics, or other statistical experimentation methods.
• Familiarity with other cloud computing platforms (e.g., Azure, GCP).
• Experience working in cross-functional teams and client-facing roles.

• Opportunity to work with cutting-edge technology in a dynamic environment.
• Exposure to a diverse range of industries and projects.
• Collaborative and inclusive work culture with opportunities for growth and professional development.

What You'll do

Lead and execute complex data science initiatives that support high-impact business decisions.

Responsible for the development, deployment, and communication of advanced analytical models.

Provides technical guidance to junior data scientists and partners closely with cross-functional teams to drive data-driven outcomes

Responsibilities

Required Qualification and skills

Benefits & Perks:

Not only will you be joining a highly skilled and tight-knit team where every engineer makes a significant impact on the product; we also strive for good work/life balance and to make our environment welcoming and fun.

Tezo is a new generation Digital & AI solutions provider, with a history of creating remarkable outcomes for our customers. We bring exceptional experiences using cutting-edge analytics, data proficiency, technology, and digital excellence.

Tezo is seeking passionate AI Engineers who are excited about harnessing the power of Generative AI to transform our company and provide cutting-edge solutions for our clients. Join us in revolutionizing enterprises by building intelligent, generative solutions that leverage AI/ML. If you've ever dreamed of contributing to impactful projects on a large scale, this is the opportunity for you!

In this role, you will be an integral part of the Machine Learning Platforms/Data Science team, focusing on developing, testing, and deploying generative AI models.

What Makes Our AI/ML Practice Unique:

• Purpose-driven: We actively respond to our customers' evolving needs with innovative solutions.
• Collaborative: We foster a positive and engaging work environment where collective ideas thrive.
• Accountable: We take ownership of our performance, both individually and as a team.
• Service Excellence: We maximize our potential through continuous learning and improvement.
• Trusted: We empower individuals to make informed decisions and take calculated risks.

Job Summary:

We are looking for a dedicated Lead Data Scientist with a strong background in Generative AI to join our team. You will support product, leadership, and client teams by providing insights derived from advanced data analysis and generative modeling.

In this role, you will collaborate closely with the development team, architects, and product owners to build efficient generative models and manage their lifecycle using the appropriate technology stack.

Core Requirements:

• At least 6 years of experience working with geographically distributed teams
• 2+ years of experience working in a client-facing role on AI/ML .
• Demonstrable experience in leading a substantive area of work, or line management of a team.
• Proven experience in building production grade Retrieval-Augmented Generation (RAG) solutions with hands on experience with advanced RAG techniques for retrieval, re-ranking etc.
• Build GenAI applications using LangChain, LlamaIndex and familiarity with Vector Stores and Large Language Models.
• Experience in fine-tuning Large Language Models (LLMs) for business use cases will be preferred.
• Minimum of 4 years of experience in developing end-to-end classical machine learning and NLP projects.
• Demonstrated experience in deploying ML solutions in production using cloud services like Azure,AWS.
• Business Understanding, Stakeholder management and Team leading skills.
• Strong practical expertise in Python and SQL needed for data science projects.

Join us at Tezo to be part of a dynamic team committed to driving innovation through Generative AI solutions!

Tezo is a new generation Digital & AI solutions provider, with a history of creating remarkable outcomes for our customers. We bring exceptional experiences using cutting-edge analytics, data proficiency, technology, and digital excellence.

Tezo is seeking passionate AI Engineers who are excited about harnessing the power of Generative AI to transform our company and provide cutting-edge solutions for our clients. Join us in revolutionizing enterprises by building intelligent, generative solutions that leverage AI/ML. If you've ever dreamed of contributing to impactful projects on a large scale, this is the opportunity for you!

In this role, you will be an integral part of the Machine Learning Platforms/Data Science team, focusing on developing, testing, and deploying generative AI models.

What Makes Our AI/ML Practice Unique:

• Purpose-driven: We actively respond to our customers' evolving needs with innovative solutions.
• Collaborative: We foster a positive and engaging work environment where collective ideas thrive.
• Accountable: We take ownership of our performance, both individually and as a team.
• Service Excellence: We maximize our potential through continuous learning and improvement.
• Trusted: We empower individuals to make informed decisions and take calculated risks.

Job Summary:

We are looking for a dedicated Lead Data Scientist with a strong background in Generative AI to join our team. You will support product, leadership, and client teams by providing insights derived from advanced data analysis and generative modeling.

In this role, you will collaborate closely with the development team, architects, and product owners to build efficient generative models and manage their lifecycle using the appropriate technology stack.

Core Requirements:

• At least 6 years of experience working with geographically distributed teams
• 2+ years of experience working in a client-facing role on AI/ML .
• Demonstrable experience in leading a substantive area of work, or line management of a team.
• Proven experience in building production grade Retrieval-Augmented Generation (RAG) solutions with hands on experience with advanced RAG techniques for retrieval, re-ranking etc.
• Build GenAI applications using LangChain, LlamaIndex and familiarity with Vector Stores and Large Language Models.
• Experience in fine-tuning Large Language Models (LLMs) for business use cases will be preferred.
• Minimum of 4 years of experience in developing end-to-end classical machine learning and NLP projects.
• Demonstrated experience in deploying ML solutions in production using cloud services like Azure,AWS.
• Business Understanding, Stakeholder management and Team leading skills.
• Strong practical expertise in Python and SQL needed for data science projects.

Join us at Tezo to be part of a dynamic team committed to driving innovation through Generative AI solutions!

Job Description

Job Description