550 Data Scientist jobs in Hyderabad

**About the Role:**
**Grade Level (for internal use):**
08
**Position Summary**
The candidate will work along with other data scientists, data engineers and industry analysts to support activities related to development and maintenance of products that generate key insights on industry trend by applying various machine learning and statistical techniques on proprietary as well as open data sources. The person will work alongside Product managers, Industry Analysts and Technology experts to develop and deliver the product in accordance with customer requirements and agreed timeline.
**Duties and responsibilities**
+ Work as part of analytics team based in Bangalore/Hyderabad/Gurgaon to develop/deploy new products
+ Work as an Individual Contributor and should be able to work well with the team
+ Participate in complex analytical projects and apply data science/engineering techniques to support new or existing data products
+ Support the team or management by producing quick-turnaround analysis, model development,
and quality assurance for product development, consulting projects, and client presentations
+ Gather knowledge about the Maritime industry and its interrelationship with various economic
and policy decision
+ Work closely with the research team and product management team to take their inputs and develop a product
**Business competencies**
Essential
+ 2-3 years of industrial/research experience in a Data Science/Engineering Team
+ 1-2 years of experience in working in time series forecasting
+ 1+ years of experience in working with AWS or Databricks
+ 1+ years of experience working with Big Data tools (Spark, PySpark, Cassandra, MongoDB etc.)
+ Experience working on end-to-end analytics project from requirements analysis till deployment of project
+ Ability to perform complex data analysis and statistical modelling in R/Python and/or Spark
+ Knowledge of RDBMS concepts and experience working with SQL
+ Understanding of data visualization principles and experience with data visualization tools such as Tableau
+ Master's degree in a quantitative discipline (Computer Science, Mathematics, Econometrics,
Engineering, Data Science)
+ In-depth knowledge of forecasting concepts such as S/ARIMA/X and good knowledge on implementing forecasting packages in R and Python
+ Excellent knowledge of Statistics, Machine Learning algorithms, Deep Neural Networks and Data Mining
Beneficial
+ Experience working with geo-spatial data and/or unstructured data at scale
+ Experience in other statistical packages like SPSS, Eviews etc.
+ Experience in working in Maritime Industry
**Personal competencies**
+ Good logical thinking and problem-solving skills
+ Good communication skills and ability to confidently present technical solutions to stakeholders
+ Great teamwork and ability to connect with people and build strong professional relationship
**About S&P Global Commodity Insights**
At S&P Global Commodity Insights, our complete view of global energy and commodities markets enables our customers to make decisions with conviction and create long-term, sustainable value.
We're a trusted connector that brings together thought leaders, market participants, governments, and regulators to co-create solutions that lead to progress. Vital to navigating Energy Transition, S&P Global Commodity Insights' coverage includes oil and gas, power, chemicals, metals, agriculture and shipping.
S&P Global Commodity Insights is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today.
For more information, visit .
**What's In It For** **You?**
**Our Purpose:**
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
**Our People:**
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
**Our Values:**
**Integrity, Discovery, Partnership**
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of **integrity** in all we do, bring a spirit of **discovery** to our work, and collaborate in close **partnership** with each other and our customers to achieve shared goals.
**Benefits:**
We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:
+ Health & Wellness: Health care coverage designed for the mind and body.
+ Flexible Downtime: Generous time off helps keep you energized for your time on.
+ Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
+ Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
+ Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
+ Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.
For more information on benefits by country visit: Hiring and Opportunity at S&P Global:**
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
**Recruitment Fraud Alert:**
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here ( .
---
**Equal Opportunity Employer**
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to:   and your request will be forwarded to the appropriate person. 
**US Candidates Only:** The EEO is the Law Poster   describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - - Professional (EEO-2 Job Categories-United States of America), IFTECH203 - Entry Professional (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:**
**Posted On:**
**Location:** Bangalore, Karnataka, India

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.
**The Position**
**Data Scientist**
**Roche India - Roche Services & Solutions**
**Hyderabad**
A healthier future. It's what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love.
That's what makes us Roche.
RSS is a global division with regional presence in Switzerland, India, Hungary, Costa Rica and Malaysia. We operate in an agile organizational set-up without extensive hierarchical structure, where all our employees lead from every seat, inspirational leadership, service oriented behavior and entrepreneurial customer centric mindset are our core values.
**Your Opportunity**
As a **Data Scientist** you will be responsible for delivering high quality outcomes by applying the right fit-for purpose solutions in collaboration with other stakeholders and team members within the same business line.
As a Data Scientist, you will be expected to:
+ Apply specific fit-for-purpose methods and implement analytics and processing algorithms
+ Onboard data into Snowflake and further database systems and implement data loads and data analysis; incl. backend development in dbt, SQL, and Python
+ Operationalize models leveraging AWS services and set up optimal architectures for the data science projects in AWS
+ Support projects independently, partnering with business stakeholders to ensure business needs are met
+ Partner with colleagues, stakeholders and Roche-internal customers globally and across all time zones
+ Build and strengthen relationships with other departments/groups across Roche to help identify synergies and streamline redundancies
+ Create and manage documentation for different data science / data engineering projects
+ Collaborate in an agile and cross-functional team with other Data Scientists, Data Engineers, Automation experts as well as business experts, so our Roche peers and patients will receive AMAZING solutions
+ Performs demos, project reviews, and retrospectives; communicates ideas for team Analytics & Automation and willingly receives feedback for self-improvement
+ Participate in exploratory projects to evaluate new technologies and establish new services
+ Embrace new ways of working with fast iterations, lean documentation and planning, close alignment to our colleagues from business and IT and close communication across global teams
**Who you are**
+ You hold a Bachelor Degree in mathematics, computer science, statistics, engineering, or information science and 2-5 years of relevant experience, ideally in a multicultural environment with global processes (Commercial, Finance, Procurement, Supply Chain, IT). Preferably, you have a Master's degree
+ You are someone who wants to influence your own development. You're looking for a company where a job title is not considered the final definition of who you are, but the starting point
+ First professional work experience in:
- Designing and developing data flows and ETL processes using modern storage solutions (e.g., Snowflake, AWS Redshift, SAP BW4)
- Applying advanced statistical methods and complex algorithms to real world data
- Professional work experience in at least one of the following languages: SQL/dbt, Python
- Strong team player with interpersonal skills and strong collaborative and solution-focused mindset
- Strong communication, networking skills, someone who enjoys working with others and acts as a team player
+ Solid experience with stakeholder management
+ English is a must, additional languages are a plus
**Who we are**
A healthier future drives us to innovate. Together, more than 100'000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.
Let's build a healthier future, together.
**Roche is an Equal Opportunity Employer.**

**Job Summary**
**Experience : 4-11 Years**
Join our team as a Data Scientist where you will leverage your expertise in machine learning artificial intelligence and data analysis to drive innovative solutions. With a focus on cloud-based technologies and advanced statistical methods you will play a pivotal role in transforming data into actionable insights. This hybrid role offers the flexibility of day shifts without travel requirements making it ideal for professionals with a passion for data-driven decision-making.
**Responsibilities**
+ Develop and implement machine learning models to solve complex business problems and enhance decision-making processes.
+ Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
+ Utilize Azure Open AI Service and Cloud AutoML to streamline model deployment and scalability.
+ Conduct exploratory data analysis (EDA) to uncover trends and patterns that inform strategic initiatives.
+ Design and maintain data pipelines using Airflow to ensure efficient data processing and management.
+ Apply knowledge graph techniques to enhance data connectivity and retrieval.
+ Implement MLOps practices to automate and optimize the machine learning lifecycle.
+ Leverage OpenCV and deep learning frameworks like TensorFlow and PyTorch for computer vision projects.
+ Develop AI-enabled chatbots using Dialogflow and natural language processing techniques.
+ Utilize R Statistical Package and Python for data manipulation and statistical analysis.
+ Optimize search engine performance through data-driven SEO strategies.
+ Provide insights and recommendations to improve asset and wealth management processes.
+ Stay updated with the latest advancements in AI and machine learning to continuously improve solutions.
**Qualifications**
+ Possess strong technical skills in statistics machine learning and artificial intelligence.
+ Demonstrate proficiency in cloud-based services such as Azure Open AI and Cloud AutoML.
+ Exhibit expertise in data analysis tools like EDA and R Statistical Package.
+ Have experience with AI frameworks including TensorFlow PyTorch and OpenCV.
+ Show capability in developing AI chatbots and natural language processing applications.
+ Understand the domain of cards and payments and asset and wealth management.
+ Be skilled in programming languages such as Python for data science applications.
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

**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 forefront of innovation, using technology and human genetic data to push beyond what is known today.
**ABOUT THE ROLE**
**Role Description:**
Medical Data Scientist will play a vital role in supporting Global Medical Affairs by contributing to the design and deployment of data science solutions- including advanced statistical methods, predictive modeling, and machine learning - to deliver meaningful, data-driven insights that inform scientific engagement, strategic decision-making, and patient-focused strategies.
As a key member of the Medical Data & Analytics (MDnA) team, you will analyze and translate structured and unstructured data into actionable intelligence to inform medical strategy and improve patient outcomes. This is a hands-on, technical role that requires strong analytical ability and problem-solving skills. The ideal candidate is curious, adaptable, and eager to expand their technical expertise, including learning and applying emerging methods such as LLMs and Generative AI.
**Key Responsibilities**
+ Support the application of data science methods - including advanced statistical techniques, predictive modeling, and machine learning - to design, develop, and deploy solutions that address complex medical questions across therapeutic areas.
+ Support and execute components of data science projects across structured and unstructured datasets (e.g., HCP sentiment, scientific engagement data, publications, CRM/field medical data) using Python, R, SQL, Tableau, Power BI, or similar platforms.
+ Assist in designing and evaluating experimentation and pilots (e.g., digital channel optimization or field medical targeting) to test innovative approaches, with a focus on scaling successful solutions.
+ Work in technical teams and contribute to medical data science projects such as Medical Science Liaison (MSL) engagement optimization, MSL note sentiment analysis using LLMs, and digital engagement impact measurement, turning complex data into insights that enable more effective field medical activities.
+ Support building and optimizing scalable data pipelines for ingestion, cleansing, transformation, model training, automation, and deployment in partnership with data engineering and platform teams.
+ Collaborate with cross-functional stakeholders (Medical, Commercial, and Technology groups across Amgen India) to ensure analyses directly address key medical business questions and strategic priorities.
+ Partner with data science, IT, and external vendors to support data access, integrity, and governance.
+ Help to translate analytic outputs into clear, actionable insights and recommendations and deliver compelling presentations, reports, and visualizations to medical and cross-functional leadership teams.
+ Stay curious - continuously learn and apply emerging methods such as LLMs, Generative AI, A/B testing, and causal inference to strengthen analytical approaches.
+ Support documentation, version control, and deployment practices using standardized platforms and tools.
**Basic Qualifications:**
+ PhD in Computer Science, Engineering, Statistics, or a related quantitative field and 1+ year(s) of experience in data analytics or data science; OR,
Master's degree in Computer Science, Engineering, Statistics, or a related quantitative field and 3+ years of experience in data analytics or data science; OR,
Bachelor's degree in Computer Science, Engineering, Statistics, or a related quantitative field and 5+ years of experience in data analytics or data science.
+ Experience in data science, statistics, machine learning, or advanced analytics, with hands-on application of statistical techniques such as hypothesis testing, regression analysis, clustering, and classification.
+ Experience in data science, statistics, machine learning, or advanced analytics, with hands-on application of statistical techniques such as hypothesis testing, regression analysis, clustering, and classification.
+ Working knowledge of SQL and Python (R a plus); comfort working in Databricks or similar environments.
+ Passion for applying technical skills to solve complex business problems and drive data-driven transformation
**Preferred Qualifications:**
+ Experience in life sciences, pharma, or regulated health analytics environments.
+ Familiarity with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
+ Exposure to RAG/LLM, NLP, or Generative AI applications is a strong plus.
+ Familiarity with MLflow, AWS, Git, and DevOps-style model deployment workflows.
+ Experience in preparing executive communication to include written and oral presentations.
**Soft Skills:**
+ Strong storytelling and presentation skills; ability to translate data into clear, compelling insights.
+ Curiosity, adaptability, and a passion for continuous learning.
+ High degree of initiative and self-motivation
+ Strong problem-solving and critical thinking.
+ Effective communication, both written and verbal.
+ Collaborative mindset and ability to work in a matrixed environment.
**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.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards plans that are aligned with local industry standards.
+ Competitive salary and comprehensive benefits package
+ Opportunities for professional growth and career development
+ A collaborative and inclusive work environment

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 an organization's business or Engineering problems.
+ Collaborate with Data Engineers to translate Machine Learning 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 analytics pipelines leveraging MLOps practices.
+ Collaborate with data engineers on data quality assessment, data cleansing, and the development of operational data pipelines.
+ Contribute to data engineering efforts to refine data infrastructure and ensure scalable, efficient 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.
Must-Have Skills:
+ Master's / 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
Preferred qualifications:
+ 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

**Data Scientist - Compliance & Internal Audit Support (Hyderabad, India)**
**Overview**
We are seeking a highly motivated Data Scientist to join our Corporate Audit and Worldwide Compliance & Business Ethics teams in Hyderabad, India. This role is ideal for a self-starter who thrives on continuous improvement, innovation, and applying advanced analytics to strengthen compliance and audit capabilities. The Data Scientist will leverage both proven technologies and emerging tools - including generative and agentic AI - to deliver impactful insights that drive ethical, compliant, and efficient business operations.
**Key Responsibilities**
**· Apply advanced analytics, statistical modeling, and machine learning to produce actionable insights that support compliance monitoring, auditing, and risk assessment.**
· Develop scalable, automated data products and pipelines to improve audit and compliance processes. Stay current with new advances in AI, including generative and agentic AI applications.
· **Access and analyze data from multiple enterprise systems (e.g., SAP, Concur, Salesforce.com) to identify patterns, trends, and anomalies in transactions.**
· Partner with cross-functional teams across Compliance, Internal Audit, Commercial, R&D, and IS to design and deliver innovative analytics solutions.
**· Develop and maintain familiarity with global healthcare compliance standards, U.S. Federal (e.g., Sunshine Act / Open Payments, CMS), state transparency regulations, and industry codes (e.g., PhRMA Code).**
· Present complex analyses and insights clearly to diverse audiences, including senior stakeholders.
· Support priority projects and provide ad hoc analytics where needed.
**Basic Qualifications**
- Bachelor's degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field, with 4-6 years of relevant experience - OR Master's degree with 4+ years of relevant experience - OR Ph.D. in a relevant field with 2+ years of experience
**Preferred Qualifications**
**· Strong proficiency in Python and SQL; familiarity with statistical programming and machine learning frameworks.**
**· Experience with data platforms such as Alteryx, Tableau, Databricks, SAS, or cloud-based solutions (AWS preferred).**
**· Demonstrated ability to work with structured and unstructured data, including text and natural language processing.**
**· Hands-on experience with data visualization and building intuitive dashboards for non-technical audiences.**
· Familiarity with AuditBoard or similar governance, risk, and compliance tools is a plus.
· Proven ability to thrive in a team-oriented, cross-functional environment with strong communication skills.
· Innovative mindset with a passion for leveraging emerging AI technologies in compliance and audit contexts.
· Detail-oriented, proactive, and comfortable managing multiple projects in a dynamic environment.

**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.

Dear Candidates,

Greeting from TCS!

TCS is looking for Data Scientist

Experience: 6-10 years

Location: Hyderabad / Chennai

MUST HAVE SKILLS:

• Experience in building, deploying AI/ML solution using Cloudera Data Science workbench, model performance monitoring on real time & remediation
• Python, R etc.
• Good knowledge of ML in customer analytics using segmentation, CLV, Cross-up sell model, propensity model etc.
• Good knowledge of end-to-end data science implementation including data ingestion, integration
• Good knowledge on channel performance, marketing strategies & Optimize customer acquisition efforts

GOOD TO HAVE SKILL:

• Masters degree in a quantitative discipline.
• MLOps/ DevOps
• BI tools like Power BI

ROLES AND RESPONSIBILITIES:

• Ability to tailor communications to a variety of internal and external audiences.
• Distinctive problem-solving and analytical skills with a high degree of analytical rigor.
• Effective written and verbal communication and interpersonal skills.
• Ability to engage with senior C-level business leaders.
• Calm under pressure, ability to juggle multiple priorities and ambiguity.
• Strategic mindset, strong project management skills, keen business acumen and the ability to thrive in a rapid paced environment on multiple projects with many stakeholders
• Conduct deep dive diagnostic analysis on current business performance to understand business drivers, design hypothesis trees, and develop Root Cause Analysis
• Use Data Science and Advanced Analytics (Cluster analysis, Segmentation, Text mining, Regression Modeling, Logistic Regressions) to help generate actionable insights and recommendations and inform decision making on Cloud Marketing performance.
• Serve as a SME and Design insightful tests (test length, KPIs, AB test vs. MVT etc., Statistical Test to use.) that adhere to testing best practices.
• Develop coherent end to end problem structures ranging from objective function, key hypothesis, success KPIs, Drivers Tree and Analytics approach
• Collaborate with business partners to validate hypotheses and help stakeholders to think about optimization opportunities and future test plans