94 Data Scientist jobs in Tirupati

Role: Lead Data Scientist – Gen AI

Location: India (Remote)

About Lingaro:

Lingaro Group is the end-to-end data services partner to global brands and enterprises. We lead our clients through their data journey, from strategy through development to operations and adoption, helping them to realize the full value of their data.

Since 2008, Lingaro has been recognized by clients and global research and advisory firms for innovation, technology excellence, and the consistent delivery of highest-quality data services. Our commitment to data excellence has created an environment that attracts the brightest global data talent to our team.

About DS/AI Competency Center:

Focuses on leveraging data, analytics, and artificial intelligence (AI) technologies to extract insights, build predictive models, and develop AI powered solutions. Utilizes Exploratory Data Analysis, Statistical Modeling and Machine Learning, Model Deployment, and Integration as well as Model Monitoring and Maintenance. Delivers business solutions using multiple AI techniques and tools.

Website:

Tasks:

The key duties are:

• Running end-to-end initiatives (Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment)
• Analyzing and interpreting the findings
• Drawing conclusions and recommendations- including expected benefits and measuring ROI for enhancing business processes
• Supporting Pre-sales activities and initiatives

Requirements:

Must Have:

• Familiarity with theory behind various machine learning concepts
• Experience with Machine Learning (ML), especially in the area of Gener tative AI (LLM/LMM) with focus on Natural Language Processing (NLP) or multi modal models.
• Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation, hypothesis testing and model deployment
• Fluency in Python, working knowledge of SQL and vector data base
• Knowledge of specific DS/ML/CVGenAI /NLP libraries like: NumPy, Keras, TensorFlow, PyTorch, HuggingFace, LangChain, and GenAI APIs i.e. OpenAI/Gemini.

Nice to have:

• Experience in working with big data and distributed environments would be a plus
• Commercial experience proven by multiple successful projects in the area of Generative AI, Natural Language Processing or Computer Vision would be a big plus

General:

• Good computer programming skills and familiarity with object oriented programming concepts
• Expertise in Azure cloud resources, Databricks
• Hands-on experience with Docker for containerisation
• Strong business acumen
• Ability to come up with creative solutions to address customer problem
• Ability to lead small technical team on the project

Why join us:

• Stable employment. On the market since 2008, 1300+ talents currently on board in 7 global sites.
• 100% remote.
• Flexibility regarding working hours.
• Full-time position
• Comprehensive online onboarding program with a “Buddy” from day 1.
• Cooperation with top-tier engineers and experts.
• Unlimited access to the Udemy learning platform from day 1.
• Certificate training programs. Lingarians earn 500+ technology certificates yearly.
• Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.
• Grow as we grow as a company. 76% of our managers are internal promotions.
• A diverse, inclusive, and values-driven community.
• Autonomy to choose the way you work. We trust your ideas.
• Create our community together. Refer your friends to receive bonuses.
• Activities to support your well-being and health.
• Plenty of opportunities to donate to charities and support the environment.

Application Link:

Overview: 

The Data Scientist supports the development and implementation of data models, focusing on Machine Learning, under the supervision of more experienced scientists, contributing to the team’s innovative projects.

Job Description:

• Assist in the development of Machine Learning models and algorithms, contributing to the design and implementation of data-driven solutions.
• Perform data preprocessing, cleaning, and analysis, preparing datasets for modeling and supporting higher-level data science initiatives.
• Learn from and contribute to projects involving Deep Learning and General AI, gaining hands-on experience under the guidance of senior data scientists.
• Engage in continuous professional development, enhancing skills in Python, Machine Learning, and related areas through training and practical experience.
• Collaborate with team members to ensure the effective implementation of data science solutions, participating in brainstorming sessions and project discussions.
• Support the documentation of methodologies and results, ensuring transparency and reproducibility of data science processes.

Qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field, with a strong interest in Machine Learning, Deep Learning, and AI.
• Experience in a data science role, demonstrating practical experience and strong Python programming skills.
• Exposure to Business Intelligence (BI) & Data Engineering concepts and tools.
• Familiarity with data platforms such as Dataiku is a bonus.

Skills:

• Solid understanding of Machine Learning principles and practical experience in Python programming.
• Familiarity with data science and machine learning libraries in Python (e.g., scikit-learn, pandas, NumPy).
• Eagerness to learn Deep Learning and General AI technologies, with a proactive approach to acquiring new knowledge and skills.
• Strong analytical and problem-solving abilities, capable of tackling data-related challenges and deriving meaningful insights.
• Basic industry domain knowledge, with a willingness to deepen expertise and apply data science principles to solve real-world problems.
• Effective communication skills, with the ability to work collaboratively in a team environment and contribute to discussions.

v4c.ai is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, gender, sexual orientation, national origin, age, disability, or veteran status.

We believe in the power of diversity and strive to foster a culture where every team member feels valued and respected. We encourage applications from individuals of all backgrounds and experiences.

If you are passionate about diversity and innovation and thrive in a collaborative environment, we invite you to apply and join our team.

Customer Strategy & Insights (Data Scientist/Data Engineer)

Location: Deloitte - Bellandur, Bengaluru (Must)

Shift: US/PST Shift

Experience Level: 3–9 years

Notice Period: Immediate to 30 days only.

About the Role:

We are seeking experienced and business-savvy Data Scientist/Data Engineer to join our team supporting High-tech clients. You will solve complex problems using advanced analytics, statistical modeling, and machine learning to drive measurable impact.

Key Responsibilities:

• Perform exploratory data analysis and generate actionable insights.
• Work on classification, regression, clustering, recommendation, and forecasting models.
• Translate business needs into analytical frameworks and articulate insights to non-technical stakeholders.
• Collaborate with cross-functional teams including data engineers, business analysts and product owners.
• Develop and deploy machine learning models to solve real-world business challenges.

Required Skills & Qualifications:

• 3–9 years of hands-on experience in data science.
• Expertise in Python/R and ML libraries (e.g., Scikit-learn, XGBoost, TensorFlow, PyTorch)
• Proficiency in SQL and data wrangling
• Strong statistical grounding and experience with A/B testing , hypothesis testing
• Cloud platform experience (GCP preferred; AWS/Azure acceptable)
• Excellent communication, storytelling, and stakeholder engagement skills
• Consulting background or experience working with global clients is highly valued
• Good academic pedigree in quantitative disciplines (Math, Stats, CS, Engineering)

Additional Notes:

• The first project requires working in US/PST hours from the Deloitte-Bellandur office all 5 days a week .
• Future projects might align to standard Indian business hours .

Location - Bangalore/ Gurgaon

Skills/ Qualifications Required:

• Relevant experience in data science/ data analytics role with an end-to-end understanding of ML based project’s development & implementation
• Proficient in building and deploying Machine Learning (Predictive & Prescriptive modelling) , NLP
• Expertise in Demand Forecasting
• Proficient in tools / languages like SQL, Python & PySpark
• Good understanding of Probability & Statistics
• Hands-on experience in Azure
• Good communication skills

Job Responsibilities

• Data collation, processing, cleaning & transformation along with feature engineering and model development.
• Hands-on with model training, evaluation & fine tuning.
• Ensure output’s thorough quality check & provide analytics driven insights and next steps in involved project(s)
• Develop & implement various customer segmentation, LTV & marketing campaign optimization models.
• Actively own & manage client deliverables.
• Effectively engage with client & translate client business requirements into equivalent analytical problems.
• Understand data and different platforms used by the client.
• Actively contribute towards design methodology for problem solving.
• Analyze large & complex data sets to derive valuable insights.

About the Role

We are looking for an experienced Data Scientist with expertise in Machine Learning, Generative AI, and Large Language Models (LLMs) to design, build, and deploy AI-driven solutions using the Azure ecosystem .

Responsibilities

• Build end-to-end ML pipelines (data prep, training, validation, deployment).
• Apply LLMs & GenAI for NLP, predictive modeling, and analytics.
• Develop recommendation engines, scoring systems, and predictive models .
• Run A/B tests and apply statistical methods to optimize performance.
• Integrate ML solutions into business systems in collaboration with cross-functional teams.

Skills & Experience

• 5+ years in ML/Data Science with strong Python skills.
• Hands-on with LLMs, GenAI frameworks, and deep learning (PyTorch/TensorFlow) .
• Experience with Azure ML, Cognitive Services, and Databricks .
• Knowledge of MLOps/model management (Azure ML Service / MLflow).
• Strong background in statistical evaluation and large-scale data handling .

Key Skills We’re Looking For

1. Machine Learning Mastery

• Strong experience with regression, classification, clustering, regularization, and model tuning.
• Familiarity with CNNs, RNNs, Transformers is a plus.

1. Python Programming

• Proficiency in NumPy, Pandas, Scikit-learn.
• Ability to build ML models from scratch and write clean, production-grade code.

1. SQL & Data Handling

• Able to query large datasets efficiently and apply rigorous data validation.

1. Statistical & Analytical Thinking

• Solid grasp of hypothesis testing, confidence intervals, and interpreting results in business context.

1. ML System Design

• Experience building ML pipelines and deploying models in production (REST APIs, batch jobs, etc.).
• Understanding of monitoring and retraining models post-deployment.