9,273 Senior Scientist jobs in India

**Data Scientist**
**Allied Mineral Products** is a global leader in refractories manufacturing. We are looking for a **Data Scientist** to join our Business Intelligence team. You will play a key role in helping us achieve analytics maturity as you analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.
In this role, you should be highly analytical with a knack for analysis, math, and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine learning and research.
**Responsibilities:**
+ Interpret data, analyze results using statistical techniques, and provide ongoing reports
+ Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality
+ Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and business units
+ Identify, analyze, and interpret trends or patterns in complex data sets
+ Locate and define new process improvement opportunities
+ Identify relevant data sources and sets to mine, and collect large structured and unstructured datasets and variables
+ Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy
+ Implement analytical models into production by collaborating with software developers
**Qualifications:**
+ Technical expertise regarding data models, database design development, data mining and segmentation techniques
+ Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
+ Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
+ Adept at queries, report writing, and data visualization
+ Good knowledge of R, Python, and MATLAB
+ BS in Mathematics, Economics, Computer Science, Data Science, Information Management or Statistics
+ Minimum of 3 year of practical experience in a Data Scientist role
+ Advanced pattern recognition and predictive modeling experience
+ Excellent written and verbal communication English language skills
+ Must be willing to work 2.30 pm - 11.30 pm IST

**Description**
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
**How will you make an impact in this role?**
This Position is in GSG Advanced Analytics team as part of GSG MIS COE, is looking for full time candidates as Data Science Analysts. The Advanced Analytics team works across multiple Data Science/Machine Learning portfolio of projects across GSG organization across multiple areas of Servicing.
Understand the overall business perspective and help conceptualize the business problem into a Data Science/ML roadmap
Have a research bend of mind and read/engage/apply new techniques and algorithms in the field to generate efficiencies/process improvements.
Rigorous testing of algorithms as per business norms and delivering significant working leverage over status quo and generate value for the business.
Capability of writing, debugging and compiling codes in multiple Machine Learning environment and understanding of Python stack is necessary
Research focus on problem solving through NLP(Natural Language Processing) is critical.
Clear application on performance testing and validation framework of machine learning models
Understand and deploy mathematical foundations of cutting edge NLP techniques on varied sources of data
Willingness to derive insights from terabyte sized data and capability to design scalable solutions is paramount
**Minimum Qualifications**
* Proven experience of applying using Machine Learning techniques like Regression, Classification, Supervised or Unsupervised Recommenders, Deep Learning etc.
* Ability to work in cross functional teams
* Excellent data wrangling and visualization skills
* Hands on knowledge of SQL is expected
* A research mindset with a zeal to experiment new algorithms is expected
**Preferred Qualifications:**
* Master's in a quantitative field (e.g., Finance, Engineering, Mathematics, Statistics Computer Science or Economics) from a top institute.
* A set of high impact research papers on applied NLP/ Deep Learning/ GenAI
* Prior experience working with Transformers/LSTMs/CNNs preferred
* Working knowledge of finetuning Large Language Models(LLMs) is a plus
* Deep knowledge of Statistics and Maths and ability to dissect problems from the first principle. Exposure to fields like Linear Algebra, Bayesian Statistics, Group theory is desirable
* Complete grip on Python environment and libraries (pandas, numpy, nltk, statsmodels, gensim, pyspark, spacy, transformers), Deep learning expertise is preferred any of Tensorflow/Torch.
**Qualifications**
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
+ Competitive base salaries
+ Bonus incentives
+ Support for financial-well-being and retirement
+ Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
+ Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
+ Generous paid parental leave policies (depending on your location)
+ Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
+ Free and confidential counseling support through our Healthy Minds program
+ Career development and training opportunities
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
**Job:** Data Mgmt and Analytics
**Primary Location:** India-Haryana-Gurugram
**Schedule** Full-time
**Req ID:**

Data ScientistPune, IndiaJR
**Data Scientist**
At Ensono, our Purpose is to be a relentless ally, disrupting the status quo and unleashing our clients to Do Great Things! We enable our clients to achieve key business outcomes that reshape how our world runs. As an expert technology adviser and managed service provider with cross-platform certifications, Ensono empowers our clients to keep up with continuous change and embrace innovation.
We can Do Great Things because we have great Associates. The Ensono Core Values unify our diverse talents and are woven into how we do business. These five traits are the key to achieving our purpose.
**HONESTY, RELIABILITY, COLLABORATION, CURIOSITY, PASSION**
At Ensono, we're on a mission to reinvent managed services for the **AI era** , shifting from manual, reactive support to a **software-first, predictive model** . Our **Envision Operating System** is designed to harness the power of AI and automation to orchestrate operations across mainframe, distributed, and cloud environments.
As a **Data Scientist** , you'll be the engine behind the intelligence that powers this transformation. You'll take diverse, messy, and often incomplete datasets-ranging from ServiceNow incidents to capacity telemetry to financial signals-and turn them into **insights, predictions, and models** that drive smarter, faster, and more proactive decisions.
This isn't research for research's sake. The models you create will **predict major incidents before they occur, detect anomalies in real time, and optimize workloads to reduce costs** . You'll work side-by-side with Data Engineers, ML Engineers, and MLOps to ensure your models don't just live in notebooks-they scale, deliver measurable business value, and directly improve uptime and client experience.
We're looking for **impact-driven data scientists** -builders who want to see their work powering live systems, not sitting on a shelf. If you thrive in turning ambiguity into actionable intelligence and want to **help rewrite the future of managed services** , this role is for you.
**What You Will Do:**
+ **Model Development** - Design, train, and validate machine learning models for incident prediction, anomaly detection, workload optimization, and intelligent automation.
+ **Feature Engineering** - Collaborate with Data Engineers to identify, transform, and optimize features from ServiceNow, operational telemetry, financial, and customer datasets.
+ **Experimentation & Evaluation** - Apply rigorous statistical and experimental design methods (A/B testing, Design of Experiments) to validate model performance.
+ **Insight Generation** - Use data storytelling to translate complex model results into actionable insights for business and operations stakeholders.
+ **Collaboration Across Teams** - Partner with ML Engineers to deploy models into production and with Ops teams to ensure predictions are explainable and trusted.
+ **Continuous Improvement** - Monitor drift, retrain models, and refine approaches to stay ahead of evolving infrastructure and client needs.
**We want all new Associates to succeed in their roles at Ensono. That's why we've outlined the job requirements below. To be considered for this role, it's important that you meet all Required Qualifications. If you do not meet all of the Preferred Qualifications, we still encourage you to apply.**   
**Required Skills & Experience**
+ Strong foundation in **statistics, machine learning, and data science techniques** (linear models, trees, ensembles, neural networks).
+ Proficiency in **Python** and core data science libraries (Pandas, NumPy, Scikit-learn; bonus: TensorFlow/PyTorch).
+ Experience working with **ServiceNow data** and other IT operations datasets.
+ Skilled in **SQL** for data exploration and feature engineering.
+ Knowledge of Snowflake is an important capability
+ Familiarity with **data storytelling tools** (Tableau, Power BI, or similar) to communicate insights effectively.
+ Knowledge of model evaluation metrics (F1, ROC/AUC, precision/recall) and experience optimizing for business impact, not just technical performance.
+ Experience with experimentation frameworks, statistical testing, or Design of Experiments (DOE) is a strong plus.
**Mindset & Values**
+ **Get Stuff Done** - You don't over-engineer; you deliver working models and iterate.
+ **Business Impact First** - You measure success not just in accuracy scores but in **reduced incidents, faster resolution, and measurable cost savings** .
+ **Collaborative Problem-Solver** - You thrive in cross-functional teams, bridging the gap between data, operations, and business leaders.
+ **Curious Innovator** - You push the boundaries of how AI/ML can be applied to enterprise IT, always looking for creative ways to improve.
**Success Looks Like**
+ Predictive models that **identify major incidents up to an hour in advance** with confidence and accuracy.
+ Actionable insights that are **trusted by Ops teams** and integrated into their workflows.
+ Clear business outcomes: improved uptime, lower costs, and faster mean time to resolution (MTTR).
+ A growing library of reusable features and models that scale across multiple clients and infrastructure types.
**Why Ensono?**
Ensono is a place where we unleash Associates to Do Great Things - for our clients and for your career. This could mean achieving a professional goal, collaborating with your team on an innovative idea, learning a new skill, reaching a wellness milestone, or engaging in your community through volunteer programs. Whatever it means to you, we want Ensono to be the place where you can do great things.
We value flexibility and work-life balance. Positions that are not required to be onsite to support a client may offer the ability to work remotely or hybrid at an Ensono office location.
JR

**Job title: Data Scientist**
+ Location: Hyderabad
**About Sanofi:**
We are an innovative global healthcare company, driven by one purpose: we chase the miracles of science to improve people's lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions.
Sanofi has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions that will accelerate Manufacturing & Supply performance and help bring drugs and vaccines to patients faster, to improve health and save lives.
**Who You Are:**
You are a dynamic data scientist interested in challenging the status quo to ensure development and impact of Sanofi's AI solutions for the patients of tomorrow. You are an influencer and leader who has deployed AI/ML and optimization solutions applying state-of-the art algorithms with technically robust lifecycle management. You have a keen eye for improvement opportunities and a demonstrated ability to deliver AI/ML and optimization solutions while working across different technologies and in a cross-functional environment.
**Our vision for digital, data analytics and AI**
Join us on our journey in enabling Sanofi's Digital Transformation through becoming an AI-first organization. This means:
+ **AI Factory - Versatile Teams Operating in Cross Functional Pods:** Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment.
+ **Leading Edge Tech Stack:** Experience build products that will be deployed globally on a leading-edge tech stack.
+ **World Class Mentorship and Training:** Working with renowned leaders and academics in machine learning to further develop your skillsets
**Job Highlights:**
+ Apply data science expertisein machine learning, statistics, text-mining/NLP, forecasting and optimization to multiple analytics projects.
+ Build models, algorithms, and simulations by writing highly optimized code and using state-of-the art machine learning technologies.
+ Work with developers, engineers, and MLOps to deliver production-ready AI/ML solutions.
**Key Functional Requirements & Qualifications:**
+ Hands-on AI/ML modeling experience of complex datasets combined with strong understanding of theoretical foundations of AI/ML.
+ Expertise within most of the following areas: supervised learning, unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, optimization
+ Experience developing deployable code and deploying models in product-focused development under an agile environment
+ Comfortable working in cloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Apache Spark)
+ Experience in production-ready software development
+ Excellent written and verbal communication, business analysis, data visualization and data storytelling skills
+ A demonstrated ability to work and collaborate in a team environment
+ Nice to have:
+ Experience in writing optimization models (linear programming, mixed-integer programming, etc.) using Python or other programming languages. 
+ Experience developing optimization models using open-source packages (Pyomo, PuLP etc.) or optimization solvers (Gurobi, CPLEX etc.), or Supply Chain Guru, etc. 
+ Experience in life sciences and healthcare and experience in a complex global organization
**Key Technical Requirements & Qualifications:**
+ PhD in mathematics, computer science, engineering, physics, statistics, economics, operation research or a related quantitative discipline with strong coding skills, ORMaster's Degree in relevant domain with 4+ years of data science/analytics experience
+ Expertise with core data science languages (such as Python, R, Scala), and familiarity with different database systems (e.g. SQL, NoSQL)
+ Disciplined AI/ML development (CI/CD, Orchestration)
+ Knowledge of Tableau, Power BI, Plotly or similar
+ Experience with various enterprise-level Application Programming Interfaces (APIs)
**Preferred qualifications** **:**
+ Experience working in the Tech industry or technology consulting
**_Why choose us?_**
+ Bring the miracles of science to life alongside a supportive, future-focused team.
+ Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally.
+ Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
+ Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks' gender-neutral parental leave.
+ Opportunity to work in an international environment, collaborating with diverse business teams and vendors, working in a dynamic team, and fully empowered to propose and implement innovative ideas.
**Pursue** _Progress_ . **Discover** _Extraordinary_ .
Progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let's pursue progress. And let's discover extraordinary together.
At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.
Watch our ALL IN video ( and check out our Diversity Equity and Inclusion actions at sanofi.com ( !
**Pursue** **_progress_** **, discover** **_extraordinary_**
Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.
Watch our ALL IN video ( and check out our Diversity Equity and Inclusion actions at sanofi.com ( !
Global Terms & Conditions and Data Privacy Statement ( is dedicated to supporting people through their health challenges. We are a global biopharmaceutical company focused on human health. We prevent illness with vaccines, provide innovative treatments to fight pain and ease suffering. We stand by the few who suffer from rare diseases and the millions with long-term chronic conditions.
With more than 100,000 people in 100 countries, Sanofi is transforming scientific innovation into healthcare solutions around the globe. Discover more about us visiting or via our movie We are Sanofi ( an organization, we change the practice of medicine; reinvent the way we work; and enable people to be their best versions in career and life. We are constantly moving and growing, making sure our people grow with us. Our working environment helps us build a dynamic and inclusive workplace operating on trust and respect and allows employees to live the life they want to live.
All in for Diversity, Equity and Inclusion at Sanofi - YouTube (

**Req ID:**
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Data Scientist to join our team in Chennai, Tamil Nādu (IN-TN), India (IN).
**Job Title**
Intermediate / Senior - Data Scientist - Python, R, SQL, EDA, GCP, Vertex AI, IBM Watsonx
**Job Summary**
The **Data Scientist** designs, develops, and implements advanced analytics and generative AI models to deliver predictive and prescriptive insights from large-scale structured and unstructured data. This role partners with cross-functional teams to translate business challenges into data-driven solutions, leveraging industry-standard machine learning, generative AI, and data visualization tools to inform confident decision-making and drive innovative product creation.
The Data Scientist applies cutting-edge tools and technologies across on-premises and cloud environments (including **GCP Vertex AI** and **IBM Watsonx** ) to design descriptive, predictive, and prescriptive solutions. This position also fosters data literacy and promotes the adoption of AI and ML capabilities across UPS.
**Responsibilities**
+ Define and integrate key data sources (internal UPS data and external datasets) to deliver predictive and generative AI models.
+ Develop and implement robust data pipelines for cleansing, transformation, and enrichment of large, multi-source datasets.
+ Collaborate with data engineering teams to validate and test data pipelines and models during proof-of-concept and production phases.
+ Perform exploratory data analysis (EDA) to identify trends, correlations, and actionable patterns that meet business needs.
+ Design and deploy generative AI solutions, integrating them into analytics and product development workflows.
+ Define and track model KPIs, ensuring ongoing validation, testing, and retraining of models to align with business objectives.
+ Create reusable and scalable solutions through clear documentation, process flows, logs, and clean, well-commented code.
+ Communicate findings through concise reports, data visualizations, and storytelling to both technical and non-technical stakeholders.
+ Present operationalized insights and provide strategic recommendations to business and executive-level stakeholders.
+ Apply best practices in statistical modeling, machine learning, generative AI, distributed computing, cloud-based AI, and performance optimization for production deployment.
+ Leverage emerging tools, open-source frameworks, and cloud technologies (including **Vertex AI** , **Databricks** , and **IBM WatsonX** ) to create predictive and prescriptive analytics solutions.
**Required Qualifications**
**Education** :
Bachelor's degree in a quantitative discipline (e.g., Statistics, Mathematics, Computer Science, Engineering, Operations Research, or related field).
Master's degree preferred.
**Experience** :
+ **Minimum 5+ years of experience** in applied data science, machine learning, generative AI, or advanced analytics.
+ Proven experience in building and launching moderate-to-large-scale analytics and AI projects into production.
**Technical Skills** :
+ Proficiency in **Python, R, and SQL** for data preparation, querying, and model development.
+ Strong knowledge of supervised, unsupervised, and generative AI techniques such as regression, classification, clustering, causal inference, and large language models (LLMs).
+ Hands-on experience with **GCP Vertex AI, IBM WatsonX, Databricks, or SageMaker** , and frameworks like **TensorFlow, PyTorch, and Keras** .
+ Familiarity with data visualization tools (e.g., **Tableau, Power BI, Shiny, D3** ) to communicate insights effectively.
+ Experience working with Linux/Unix and Windows environments.
+ Familiarity with Java or C++ is a plus.
**Professional Skills** :
+ Strong analytical skills with attention to detail and a rigorous problem-solving approach.
+ Ability to translate complex business problems into high-level AI and analytics solutions.
+ Excellent oral and written communication skills, with the ability to explain analytical and generative AI concepts to both technical and non-technical stakeholders.
+ Strong storytelling skills to communicate data-driven insights in a clear, impactful way.
**Preferred Experience**
+ Expertise in **cloud AI technologies (GCP, IBM WatsonX, AWS, Azure)** and modern data pipelines.
+ Demonstrated success in implementing **generative AI (LLMs, text-to-image, summarization, conversational AI)** for business use cases.
+ Track record of curiosity and innovation, with the ability to explore complex datasets and generate actionable insights.
+ Background in **operations research or quantitative social science** is a strong plus.
**About NTT DATA**
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com ( possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, .
**_NTT DATA endeavors to make_** **_ **_accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at_** **_ **_._** **_This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here ( . If you'd like more information on your EEO rights under the law, please click here ( . For Pay Transparency information, please click here ( ._**

**Req ID:**
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Data Scientist to join our team in Chennai, Tamil Nādu (IN-TN), India (IN).
**Job Title**
Intermediate / Senior - Data Scientist - Python, R, SQL, EDA, GCP, Vertex AI, IBM Watsonx
**Job Summary**
The **Data Scientist** designs, develops, and implements advanced analytics and generative AI models to deliver predictive and prescriptive insights from large-scale structured and unstructured data. This role partners with cross-functional teams to translate business challenges into data-driven solutions, leveraging industry-standard machine learning, generative AI, and data visualization tools to inform confident decision-making and drive innovative product creation.
The Data Scientist applies cutting-edge tools and technologies across on-premises and cloud environments (including **GCP Vertex AI** and **IBM Watsonx** ) to design descriptive, predictive, and prescriptive solutions. This position also fosters data literacy and promotes the adoption of AI and ML capabilities across UPS.
**Responsibilities**
+ Define and integrate key data sources (internal UPS data and external datasets) to deliver predictive and generative AI models.
+ Develop and implement robust data pipelines for cleansing, transformation, and enrichment of large, multi-source datasets.
+ Collaborate with data engineering teams to validate and test data pipelines and models during proof-of-concept and production phases.
+ Perform exploratory data analysis (EDA) to identify trends, correlations, and actionable patterns that meet business needs.
+ Design and deploy generative AI solutions, integrating them into analytics and product development workflows.
+ Define and track model KPIs, ensuring ongoing validation, testing, and retraining of models to align with business objectives.
+ Create reusable and scalable solutions through clear documentation, process flows, logs, and clean, well-commented code.
+ Communicate findings through concise reports, data visualizations, and storytelling to both technical and non-technical stakeholders.
+ Present operationalized insights and provide strategic recommendations to business and executive-level stakeholders.
+ Apply best practices in statistical modeling, machine learning, generative AI, distributed computing, cloud-based AI, and performance optimization for production deployment.
+ Leverage emerging tools, open-source frameworks, and cloud technologies (including **Vertex AI** , **Databricks** , and **IBM WatsonX** ) to create predictive and prescriptive analytics solutions.
**Required Qualifications**
**Education** :
Bachelor's degree in a quantitative discipline (e.g., Statistics, Mathematics, Computer Science, Engineering, Operations Research, or related field).
Master's degree preferred.
**Experience** :
+ **Minimum 5+ years of experience** in applied data science, machine learning, generative AI, or advanced analytics.
+ Proven experience in building and launching moderate-to-large-scale analytics and AI projects into production.
**Technical Skills** :
+ Proficiency in **Python, R, and SQL** for data preparation, querying, and model development.
+ Strong knowledge of supervised, unsupervised, and generative AI techniques such as regression, classification, clustering, causal inference, and large language models (LLMs).
+ Hands-on experience with **GCP Vertex AI, IBM WatsonX, Databricks, or SageMaker** , and frameworks like **TensorFlow, PyTorch, and Keras** .
+ Familiarity with data visualization tools (e.g., **Tableau, Power BI, Shiny, D3** ) to communicate insights effectively.
+ Experience working with Linux/Unix and Windows environments.
+ Familiarity with Java or C++ is a plus.
**Professional Skills** :
+ Strong analytical skills with attention to detail and a rigorous problem-solving approach.
+ Ability to translate complex business problems into high-level AI and analytics solutions.
+ Excellent oral and written communication skills, with the ability to explain analytical and generative AI concepts to both technical and non-technical stakeholders.
+ Strong storytelling skills to communicate data-driven insights in a clear, impactful way.
**Preferred Experience**
+ Expertise in **cloud AI technologies (GCP, IBM WatsonX, AWS, Azure)** and modern data pipelines.
+ Demonstrated success in implementing **generative AI (LLMs, text-to-image, summarization, conversational AI)** for business use cases.
+ Track record of curiosity and innovation, with the ability to explore complex datasets and generate actionable insights.
+ Background in **operations research or quantitative social science** is a strong plus.
**About NTT DATA**
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com ( possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, .
**_NTT DATA endeavors to make_** **_ **_accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at_** **_ **_._** **_This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here ( . If you'd like more information on your EEO rights under the law, please click here ( . For Pay Transparency information, please click here ( ._**

Cloud migration is one of the most critical steps in modernizing enterprise Information Technology (IT), and Azure Migrate is at the forefront of enabling this transformation. Our team is innovating with Artificial Intelligence (AI) to reimagine how migrations are planned, executed, and optimized-bringing intelligence, adaptability, and precision to every customer journey. You'll be part of a dynamic engineering team that blends deep platform expertise with cutting-edge AI capabilities to simplify complex migration scenarios and deliver seamless cloud adoption experiences.
As a Data Scientist in Azure Migrate, you will develop intelligent models and data-driven capabilities that guide customers through their cloud migration journey with precision and confidence. You'll work on designing predictive systems, uncovering actionable insights from large-scale telemetry, and building adaptive experiences that improve migration outcomes.
Azure Migrate is a cornerstone of Azure's growth strategy-empowering customers to move critical workloads to the cloud and driving long-term platform adoption. Your work will directly influence customer success, shape product direction, and contribute to one of Microsoft's most impactful cloud services. Flexible work options are available, including partial work-from-home arrangements.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ You will understand where to acquire the data necessary for your project plan and use querying, visualization, and reporting techniques to describe that data. You'll also explore data for key attributes and collaborate with others to perform data science experiments using established methodologies.
+ You will understand modeling techniques, select the correct tool and approach to complete objectives, and evaluate the output for statistical and business significance. You'll also analyze model performance and incorporate customer feedback into its evaluation.
+ You will understand the current state of the industry, including current trends, so that you can contribute to thought leadership best practices. You'll also write efficient code for a specific feature, and develop a working expertise of proper debugging techniques.
+ You will understand each customer's business goals and learn best practices for identifying growth opportunities. You'll also examine projects through a customer-oriented focus, and manage customer expectations regarding project progress.
**Qualifications**
**Required Qualifications:**
+ Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
+ OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical tec
+ OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical tec
+ OR equivalent experience.
+ 1+ year(s) customer-facing, project-delivery experience, professional services, and/or consulting experience.
**Other Requirements:**
+ Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: 
+ Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
**Preferred Qualifications:**
+ Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science,
+ OR related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
+ OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science,
+ OR related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
+ OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science,
+ OR related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
+ OR equivalent experience.
#azurecorejobs
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .

Are you passionate about creating innovative solutions that empower users to achieve more with Office applications? Do you have a strong background in natural language processing, generative AI, and engineering? If so, we are looking for an **Applied Scientist**  to join our team of data and applied science engineers working at the intersection of generative AI and engineering for Office. In this role, you will drive cutting-edge projects, contribute to the Copilot ecosystem, and help shape the Agentic future with one of the most widely used software products in the world.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ Applied Research & Development: Design and implement machine learning models and algorithms that improve search, summarization, and content understanding in Office applications. Stay current with advancements in NLP and generative AI to inform product innovation.
+ Model Development & Deployment: Build and optimize ML/DL models using frameworks like PyTorch or TensorFlow. Contribute to the deployment of models in production environments, ensuring scalability and performance.
+ Cross-Functional Collaboration: Work closely with engineering, product, and research teams to define goals, align on priorities, and deliver impactful features. Translate business needs into technical solutions.
+ Experimentation & Evaluation: Conduct experiments to evaluate model performance, analyze results, and iterate on solutions. Use data-driven insights to improve precision, recall, and user satisfaction.
+ Innovation & Impact: Explore new signals, data sources, and modeling techniques to enhance intelligent systems. Contribute to the evolution of the Copilot ecosystem and agentic experiences in Office.
**Qualifications**
**Required Qualifications:**
+ Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND relevant internship experience (e.g., statistics, predictive analytics, research)
+ OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
+ OR equivalent experience.
**Preferred Qualifications:**
+ Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
+ OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
+ OR equivalent experience.
+ Experience contributing to research publications, patents, or open-source projects.
+ Hands-on experience deploying ML models in production environments.
+ Familiarity with the full product lifecycle, from ideation to deployment and iteration.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .

**Introduction**
We are seeking a highly skilled and experienced Senior Data Scientist with deep expertise in Machine Learning, Deep Learning, and Generative AI. The ideal candidate will have a strong track record of delivering end-to-end data science solutions in production environments and hands-on experience with LLMs and Agentic AI frameworks. You will be responsible for driving AI/ML projects from ideation to deployment, collaborating with cross-functional teams, and ensuring scalable implementations.
**Your role and responsibilities**
* Execute end-to-end Data Science projects including data collection, preprocessing, feature engineering, modelling, evaluation, and deployment.
* Design and implement advanced Machine Learning algorithms (classification, regression, clustering, ensemble methods) and Natural Language Processing algorithms (Knowledge Graphs, Topic Modelling, Feature Extraction, Sentiment Analysis, BERT etc.)
* Develop and deploy Generative AI and LLM-based solutions using platforms like OpenAI, Hugging Face, and LLama.
* Apply Agentic AI frameworks such as LangChain, LangGraph, Crew AI, or Microsoft Semantic Kernel to build intelligent applications.
* Proficient in designing and deploying scalable machine learning solutions using cloud architectures, with hands-on experience in at least one major platform (Azure, AWS, GCP, or IBM Cloud). Skilled in leveraging Databricks, ML platforms, managed databases, web hosting services, and document AI tools for end-to-end solution development.
* Collaborate with business stakeholders to define problem statements, deliver insights, and drive impact.
* Maintain reproducibility and version control using Git, GitHub
* Effectively communicate technical concepts and project outcomes to both technical and non-technical stakeholders.
**Required technical and professional expertise**
* 7-9 years of hands-on experience in Data Science, Machine Learning, Deep Learning, and NLP in a production environment.
* 2+ years of applied experience in Generative AI and LLMs (e.g., OpenAI, LLama).
* Proficiency in agentic AI development using frameworks like LangChain, LangGraph, or similar.
* Strong programming skills in Python and experience with ML/DL libraries
* Experience deploying models via REST APIs or web applications.
* Proficient in SQL for data extraction, transformation, and analysis.
* Experience working with large datasets, feature engineering, and data preprocessing pipelines.
* Solid understanding of model evaluation, cross-validation, and performance metrics.
* Experience in MLOps, including model testing, deployment pipelines, governance frameworks, and continuous monitoring for reliable and compliant machine learning operations.
* Experience with cloud ML pipelines and services (proficiency in at least one of Azure, AWS, GCP & IBM Cloud).
* Strong interpersonal and client communication skills.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.