889 Data Scientist jobs in Hyderabad

**About Amgen**
**Join Amgen's Mission of Serving Patients**
At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.
Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
**Data Scientist**
**What you will do**
The Global Quality Analytics and Innovation team leads the digital transformation and innovation effort throughout Amgen's Quality organization. We are at the forefront of developing and rolling out data-centric digital tools, employing automation, artificial intelligence (AI), and generative AI to drive end-to-end quality transformation. We are seeking a highly motivated and experienced Data Scientist with a strong background in Generative AI, Large Language Models (LLMs), and MLOps, along with an understanding for Quality in regulated environments (e.g., GxP). This role will play a key part in designing, developing, and deploying scalable AI/ML solutions to drive innovation, efficiency, and regulatory compliance across the organization.
You will collaborate with cross-functional teams, including software engineers, data engineers, business stakeholders, and quality professionals to deliver AI-driven capabilities that support strategic business objectives. The ideal candidate is an analytical thinker with excellent technical depth, communication skills, and the ability to thrive in a fast-paced, agile environment.
**Key Responsibilities**
+ Design, build, and deploy generative AI and LLM-based applications using frameworks such as LangChain, LlamaIndex, and others.
+ Engineer reusable and effective prompts for LLMs like OpenAI GPT-4, Anthropic Claude, etc.
+ Develop and maintain evaluation metrics and frameworks for prompt engineering.
+ Conduct data quality assessments, data cleansing, and ingestion of unstructured documents into vector databases.
+ Build retrieval algorithms for relevant data identification to support LLMs and AI applications.
+ Ensure AI/ML development complies with GxP and other regulatory standards, fostering a strong Quality culture.
+ Partner with global and local teams to support regulatory inspection readiness and future technological capabilities in AI.
+ Share insights and findings with team members in an Agile (SAFe) environment.
**What we expect of you**
**Basic Qualifications:**
+ Master's degree and 2 - 4 years of experience in Software Engineering, Data Science, or ML Engineering or
+ Bachelor's degree and 3 to 5 years of experience in Software Engineering, Data Science, or ML Engineering or
+ Diploma and 7 to 9 years of experience in Software Engineering, Data Science, or ML Engineering
**Preferred Qualifications:**
+ Experience in developing and deploying LLM applications.
+ Strong foundation in ML algorithms, data science workflows, and NLP.
+ Expertise in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
+ Familiarity with MLOps tools (e.g., MLflow, CI/CD, version control).
+ Experience with cloud platforms (AWS, Azure, GCP) and tools like Spark, Databricks.
+ Understanding of RESTful APIs and frameworks like FastAPI.
+ Experience with BI and visualization tools (e.g., Tableau, Streamlit, Dash).
+ Knowledge of GxP compliance and experience working in regulated environments.
+ Strong communication skills with the ability to explain complex topics to diverse audiences.
+ High degree of initiative, self-motivation, and ability to work in global teams.
**What you can expect of us**
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.
Apply now and make a lasting impact with the Amgen team.
careers.amgen.com
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

ABOUT AMGEN
Amgen harnesses the best of biology and technology to fight the world's toughest diseases, and make people's lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what's known today.
ABOUT THE ROLE
Role Description:
The Data Scientist is responsible for developing and implementing AI-driven solutions to enhance cybersecurity measures within the organization. This role involves leveraging data science techniques to analyze security data, detect threats, and automate security processes. The Data Scientist will work closely with cybersecurity teams to identify data-driven automation opportunities, strengthening the organization's security posture.
Roles & Responsibilities:
+ Develop analytics to address security concerns, enhancements, and capabilities to improve the organization's security posture.
+ Collaborate with Data Engineers to translate security-focused algorithms into effective solutions.
+ Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
+ Perform exploratory and targeted data analyses using descriptive statistics and other methods to identify security patterns and anomalies.
+ Design and implement security-focused analytics pipelines leveraging MLOps practices.
+ Collaborate with data engineers on data quality assessment, data cleansing, and the development of security-related data pipelines.
+ Contribute to data engineering efforts to refine data infrastructure and ensure scalable, efficient security analytics.
+ Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.
+ Share and discuss findings with team members practicing SAFe Agile delivery model.
Functional Skills:
**Basic Qualifications:**
+ Master's degree and 1 to 3 years of experience with one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python) OR
+ Bachelor's degree and 3 to 5 years of experience with one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python) OR
+ Diploma and 7 to 9 years of experience with one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python)
**Preferred Qualifications:**
+ Experience with one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python)
+ Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on industrial datasets
+ Strong foundation in machine learning algorithms and techniques
+ Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification
**Good-to-Have Skills:**
+ Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
+ Outstanding analytical and problem-solving skills; Ability to learn quickly; Excellent communication and interpersonal skills
+ Experience with data engineering and pipeline development
+ Experience in analyzing time-series data for forecasting and trend analysis
+ Experience with AWS, Azure, or Google Cloud
+ Experience with Databricks platform for data analytics and MLOps
+ Experience with Generative AI models (e.g., GPT, DALL·E, Stable Diffusion) and their applications in cybersecurity and data analysis
+ Experience working in Product team's environment
+ Experience working in an Agile environment
**Professional** **Certifications:**
+ Any AWS Developer certification (preferred)
+ Any Python and ML certification (preferred)
+ Any SAFe Agile certification (preferred)
**Soft Skills:**
+ Initiative to explore alternate technology and approaches to solving problems
+ Skilled in breaking down problems, documenting problem statements, and estimating efforts
+ Excellent analytical and troubleshooting skills
+ Strong verbal and written communication skills
+ Ability to work effectively with global, virtual teams
+ High degree of initiative and self-motivation
+ Ability to manage multiple priorities successfully
+ Team-oriented, with a focus on achieving team goals
EQUAL OPPORTUNITY STATEMENT
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
**Apply now for a career that defies imagination**
Objects in your future are closer than they appear. Join us.
**careers.amgen.com**
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Job Title: Data scientist

Experience: 5+ Years

Location: Hyderabad

Job Type: Full-Time(Work from Office)

Job Summary:

Data Scientist to play a critical role in building the next generation machine learning applications and services for the global sourcing and procurement operations. The candidate will be part of a team with a goal to innovate and build data driven solutions to support sourcing and procurement operations. We are one of the fastest growing teams across Amazon with strong technology orientation.

As an Data Scientist, he will have the opportunity to play a key role in driving the development of key features for our customers. He will take on challenging problems and deliver solutions that either leverage existing academic and industrial research, or utilize his own out-of-the-box pragmatic thinking.

Key job responsibilities:

• Analyse and extract relevant information from large amounts of data to help automate and optimize key processes.

• Research, develop and implement novel machine learning, LLM and statistical approaches for improving the user experience in the procurement domain.

• Use machine learning and analytical techniques to create scalable solutions for business problems.

Skill Sets :

• 5+ years of building models for business application experience
• Experience programming in Python
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Location: Hyderabad and Gurgaon.

Overview

Data Science Team works in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Azure Pipelines.

You will be part of a collaborative interdisciplinary team around data, where you will be responsible of our continuous delivery of statistical/ML models. You will work closely with process owners, product owners and final business users. This will provide you the correct visibility and understanding of criticality of your developments.

Responsibilities

• Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope
• Active contributor to code & development in projects and services
• Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption.
• Partner with ML engineers working on industrialization.
• Communicate with business stakeholders in the process of service design, training and knowledge transfer.
• Support large-scale experimentation and build data-driven models.
• Refine requirements into modelling problems.
• Influence product teams through data-based recommendations.
• Research in state-of-the-art methodologies.
• Create documentation for learnings and knowledge transfer.
• Create reusable packages or libraries.
• Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards
• Leverage big data technologies to help process data and build scaled data pipelines (batch to real time)
• Implement end-to-end ML lifecycle with Azure Databricks and Azure Pipelines
• Automate ML models deployments

Qualifications

• BE/B.Tech in Computer Science, Maths, technical fields.
• Overall 2-4 years of experience working as a Data Scientist.
• 2+ years’ experience building solutions in the commercial or in the supply chain space.
• 2+ years working in a team to deliver production level analytic solutions. Fluent in git (version control). Understanding of Jenkins, Docker are a plus.
• Fluent in SQL syntaxis.
• 2+ years’ experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems.
• 2+ years’ experience in developing business problem related statistical/ML modeling with industry tools with primary focus on Python or Pyspark development.
• Data Science – Hands on experience and strong knowledge of building machine learning models – supervised and unsupervised models. Knowledge of Time series/Demand Forecast models is a plus
• Programming Skills – Hands-on experience in statistical programming languages like Python, Pyspark and database query languages like SQL
• Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators
• Cloud (Azure) – Experience in Databricks and ADF is desirable
• Familiarity with Spark, Hive, Pig is an added advantage
• Business storytelling and communicating data insights in business consumable format. Fluent in one Visualization tool.
• Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities
• Experience with Agile methodology for team work and analytics ‘product’ creation.
• Experience in Reinforcement Learning is a plus.
• Experience in Simulation and Optimization problems in any space is a plus.
• Experience with Bayesian methods is a plus.
• Experience with Causal inference is a plus.
• Experience with NLP is a plus.
• Experience with Responsible AI is a plus.
• Experience with distributed machine learning is a plus
• Experience in DevOps, hands-on experience with one or more cloud service providers AWS, GCP, Azure(preferred)
• Model deployment experience is a plus
• Experience with version control systems like GitHub and CI/CD tools
• Experience in Exploratory data Analysis
• Knowledge of ML Ops / DevOps and deploying ML models is preferred
• Experience using MLFlow, Kubeflow etc. will be preferred
• Experience executing and contributing to ML OPS automation infrastructure is good to have
• Exceptional analytical and problem-solving skills
• Stakeholder engagement-BU, Vendors.
• Experience building statistical models in the Retail or Supply chain space is a plus

Job Title: Data Scientist (PhD)

Location: Hyderabad, Telangana

Employment Type: Full-Time / Permanent

About the Role

We are seeking a highly skilled Data Scientist with a PhD in Computer Science, Statistics, Mathematics, Data Science, or a related field to join our team. The ideal candidate will bring advanced research, analytical, and problem-solving skills to design and implement data-driven solutions that drive strategic business decisions.

Key Responsibilities

• Design and develop advanced machine learning and statistical models to solve complex business challenges.
• Conduct in-depth research and experimentation to innovate and improve data science methodologies.
• Collect, clean, and analyze large, structured and unstructured datasets to extract actionable insights.
• Collaborate with cross-functional teams (Engineering, Product, Business) to integrate models into production systems.
• Perform hypothesis testing, predictive modeling, and optimization to support strategic initiatives.
• Publish internal technical reports and, where appropriate, contribute to research papers/patents.
• Stay updated with the latest research trends in AI/ML, deep learning, NLP, and data analytics.
• Mentor junior data scientists and provide thought leadership within the team.

Required Qualifications

• PhD in Computer Science, Statistics, Applied Mathematics, Data Science, Artificial Intelligence, or a related field.
• Proven experience in applying machine learning, deep learning, and statistical techniques to real-world problems.
• Strong programming skills in Python, R, or similar languages, with expertise in libraries/frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
• Proficiency in SQL and working with large-scale data platforms (Hadoop, Spark, or similar).
• Strong background in mathematics, probability, linear algebra, and optimization.
• Experience with research publication or contribution to open-source projects is a plus.
• Excellent communication and presentation skills to explain complex technical concepts to non-technical stakeholders.

Preferred Skills

• Experience working with cloud platforms (AWS, Azure, GCP).
• Exposure to natural language processing (NLP), computer vision, or reinforcement learning.
• Strong domain expertise in (Healthcare, Finance, Retail, etc. – customize as per your industry).
• Track record of academic publications or patents in AI/ML/Data Science.

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.

Role: Data Scientist

Experience: 3-4 Years

Location: Hyderabad (Hybrid)

Tezo is seeking a highly motivated Data Scientist / AI Engineer with 3–4 years of professional experience in data science, machine learning, and AI solution development. In this role, you will design, develop, and deploy end-to-end data-driven solutions, working closely with cross-functional teams to solve complex business problems using advanced analytics and AI.

Why Join Our AI/ML Practice?

Purpose-driven: Work on projects that create meaningful impact for clients.

Collaborative: Learn and contribute in a team that values sharing ideas and teamwork.

Continuous Growth: Get mentorship, hands-on training, and exposure to cutting-edge tools.

Accountable & Trusted: Take ownership of your learning and contribute to team outcomes.

Key Responsibilities

• Collaborate with stakeholders to understand business challenges and translate them into data science problems.
• Design, develop, and optimize machine learning models (supervised, unsupervised, deep learning, NLP, etc.).
• Preprocess, clean, and analyze large structured and unstructured datasets.
• Deploy ML models into production environments using MLOps practices .
• Build data pipelines and work with engineers to ensure scalability and reliability of AI solutions.
• Conduct experiments, perform model validation, and optimize performance.
• Develop dashboards and visualizations to communicate insights to business teams.
• Mentor junior data scientists and contribute to best practices in coding, documentation, and model governance.

Required Skills

• Bachelor’s or master’s degree in computer science, Data Science, Statistics, Mathematics, Engineering, or related field.
• 3–4 years of hands-on experience in data science and AI projects.
• Strong programming skills in Python (preferred) or R, with expertise in Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch .
• Solid understanding of machine learning algorithms, deep learning, NLP, and statistical modeling .
• Experience with SQL and data manipulation.
• Exposure to MLOps tools (MLflow, Kubeflow, Docker, CI/CD pipelines).
• Experience working with cloud platforms (AWS, Azure, GCP).
• Strong analytical and problem-solving skills, with the ability to translate data into actionable insights.
• Experience with large language models (LLMs) and generative AI.

Dear all,

We are looking for highly motivated PhD freshers in Data Science, AI/ML, or related disciplines to join our team as AI/ML Research . This role is designed for individuals with a strong academic foundation and hands-on project experience , eager to apply their knowledge in real-world AI and Large Language Model (LLM) applications .

Key Responsibilities:

• Research, design, and implement models in AI/ML/NLP , with a focus on Large Language Models (LLMs) .
• Collaborate with cross-functional teams to integrate models into production or research pipelines.
• Contribute to codebases and perform experiments using Python and relevant ML libraries.
• Develop proof-of-concept (PoC) applications or tools based on self-designed research or side projects.

Required Qualifications:

• PhD (completed) in Data Science, Computer Science, Artificial Intelligence, Machine Learning, or related fields.
• Strong proficiency in Python and libraries such as NumPy, pandas, scikit-learn, PyTorch, or TensorFlow .
• Practical understanding of foundational ML and deep learning techniques (e.g., regression, classification, transformers, etc.).
• Experience with LLMs (e.g., GPT, BERT, LLaMA) – either academic research or side projects.
• Demonstrated ability to build end-to-end AI/ML/NLP projects (e.g., GitHub projects, open-source contributions, thesis work).

If you are interested, kindly share your updated CV by emailing it to