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computational scientist

ExxonMobil India Careers

<div>
 
 About Us
 
 
 At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world&rsquo;s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.
 
 
 The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies.
 
 
 We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society&rsquo;s evolving needs. Learn more about
 
 our What and our Why
 
 and how we can work
 
 together
 
 .
 
 
 What role will you play in our team
 
 
 Join ExxonMobil's Technology and Engineering Company as a Computational Scientist. We are seeking a highly skilled and motivated Computational Scientist to join our team. This role involves developing and analyzing both physics-based and data-driven computational models to tackle a range of problems in the oil and gas industry.
 
 
 What you will do
 
 
 <ul>
 <li>
 Work collaboratively across global, cross-disciplinary teams, and with third parties (academia, industry) to assess, accelerate pace of computational science technology development and deployment.
 </li>
 <li>
 Frame computational challenge from business needs, develop solutions that strike a balance between accuracy and runtimes, develop solutions that merge physics and data incorporating uncertainty, develop novel approaches to constrain predictive models with field data.
 
 
 </li>
 </ul>
 
 Skills &amp; Qualifications
 
 
 <ul>
 <li>
 Master&rsquo;s or PhD degree from a recognized university in Engineering/Applied Mathematics/Geoscience/Computational Science with a GPA 7.0 and above (out of 10.0).
 </li>
 <li>
 For candidates with only master&rsquo;s degree, minimum 3 years of relevant work experience is required.
 </li>
 <li>
 Experience in developing, applying, and analyzing physics-based models and developing related algorithms.
 </li>
 <li>
 Strong background in multiscale and/or multiphysics mathematical modeling, scientific computing, and numerical analysis.
 </li>
 <li>
 Hands-on experience with physics-based simulators and computational modeling.
 </li>
 <li>
 Familiarity with surrogate modeling for optimal design and inverse problem-solving is preferred but not mandatory.
 </li>
 <li>
 Exposure to hybrid modeling approaches combining data-driven and physics-based methods using machine learning tools (e.g., TensorFlow, PyTorch, Scikit-learn)
 </li>
 <li>
 Knowledge of deep learning techniques for advanced data analysis and modeling challenges is preferred but not mandatory.
 </li>
 <li>
 Strong proficiency in programming/scripting languages like C++/C# or Python.
 </li>
 <li>
 Experience with software engineering best practices including software testing, agile development, version control, and DevOps.
 </li>
 <li>
 Prior experience in the upstream oil and gas industry is an advantage.
 </li>
 <li>
 Strong communication skills and ability to work effectively in interdisciplinary teams to translate complex computational models into actionable insights.
 
 
 </li>
 </ul>
 Your benefits
 
 
 An ExxonMobil career is one designed to last. Our commitment to you runs deep our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you:
 
 
 <ul>
 <li>
 Competitive compensation
 </li>
 <li>
 Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits
 </li>
 <li>
 Retirement benefits
 </li>
 <li>
 Global networking &amp; cross-functional opportunities
 </li>
 <li>
 Annual vacations &amp; holidays
 </li>
 <li>
 Day care assistance program
 </li>
 <li>
 Training and development program
 </li>
 <li>
 Tuition assistance program
 </li>
 <li>
 Workplace flexibility policy
 </li>
 <li>
 Relocation program
 </li>
 <li>
 Transportation facility
 
 
 </li>
 </ul>
 Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Company&rsquo;s eligibility guidelines.
 
 
 Stay connected with us
 
 
 <ul>
 <li>
 Learn more about ExxonMobil in India, visit ExxonMobil India and Energy Factor India.
 </li>
 <li>
 Follow us on LinkedIn and ExxonMobil (@exxonmobil)
 <li>
 Instagram photos and videos
 </li>
 <li>
 Like us on Facebook
 </li>
 <li>
 Subscribe our channel at YouTube
 
 
 </li>
 EEO Statement
 
 
 ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status.
 
 
 Business solicitation and recruiting scams
 
 
 ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil.
 
 
 Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.
 
 
 Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.
 </li>
 </ul>
</div>

Computational Scientist

Qualitest

<div>
 Job description:
 
 
 Data Scientist &ndash; QA &amp; AI Enablement
 
 
 Role Summary
 
 
 
 We are seeking one Data Scientist to join the Hub component of the Client hub-and-spoke engagement model.The Data Scientist will play a key role in supporting the deployment, refinement, and optimization of Coco bots and AI-driven quality engineering initiatives.
 
 Key Responsibilities
 <ul>
 <li>
 
 Participate in daily stand-up meetings, provide status updates, highlight risks, and deliver daily and weekly status reports.
 
 </li>
 <li>
 
 Collaborate with business and technical stakeholders to gather representative and high-quality datasets for AI model development and testing.
 
 </li>
 <li>
 
 Perform statistical analysis, data visualization, data cleansing, and preparation of datasets for AI/ML testing and validation.
 
 </li>
 <li>
 
 Evaluate the effectiveness, reliability, and accuracy of new and existing data sources using appropriate data assessment techniques.
 
 </li>
 <li>
 
 Apply predictive modeling techniques to improve QA efficiency and optimize broader business outcomes.
 
 </li>
 <li>
 
 Coordinate with cross-functional teams to implement data models and monitor their operational outcomes.
 
 </li>
 <li>
 
 Develop and maintain processes, metrics, and tools to continuously monitor model performance, data quality, and accuracy over time.
 
 </li>
 </ul>
 Required Skills &amp; Experience (Must Haves)
 <ul>
 <li>
 
 
 AI / Machine Learning:
 
 Proficiency level 4/5
 
 </li>
 <li>
 
 
 Predictive Modeling:
 
 Proficiency level 4/5
 
 </li>
 <li>
 
 
 Data Modeling Implementation:
 
 Proficiency level 3/5
 
 </li>
 </ul>
</div>

Data Scientist- QA and AI  Enablement

LTIMindtree

<div>
 
 
 Job Title: Data Scientist &ndash; AI/ML/DL
 
 
 
 
 
 
 
 
 
 
 Location:
 
 PAN India
 
 
 
 
 
 
 
 
 
 About the Role:
 
 
 
 We are seeking a skilled Data Scientist with expertise in AI/ML/DL and Generative AI to join our dynamic team. The ideal candidate will have hands-on experience in advanced AI frameworks, cloud platforms, and modern data science tools.
 
 
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design, develop, and deploy AI/ML/DL models for real-world applications.
 </li>
 <li>
 Work on Generative AI solutions and multi-modal language models.
 </li>
 <li>
 Collaborate with cross-functional teams to deliver scalable AI solutions.
 </li>
 <li>
 Optimize models for performance and accuracy across platforms.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 
 Experience:
 
 3&ndash;6 years in Data Science and AI/ML/DL domain.
 </li>
 <li>
 Hands-on experience in
 
 Generative AI
 
 and
 
 Deep Learning
 
 .
 </li>
 <li>
 Strong programming skills in
 
 
 Python
 
 
 
 and familiarity with
 
 
 
 Linux/Windows
 
 
 
 environments.
 
 </li>
 <li>
 
 
 Proficiency with data science toolkits:
 
 
 
 TensorFlow
 
 ,
 
 Keras
 
 ,
 
 PyTorch
 
 ,
 
 Pandas
 
 ,
 
 NumPy
 
 , etc.
 </li>
 <li>
 
 
 Understanding of AI tool stack:
 
 NeMo Framework
 
 ,
 
 NIMs
 
 .
 </li>
 <li>
 
 
 Certifications:
 
 
 
 
 Preferably NVIDIA Certified Associate on GenAI.
 </li>
 <li>
 
 
 Exposure to GenAI frameworks:
 
 
 LangChain, LlamaIndex, LangGraph, CrewAI, Nemo Agent Toolkit (NAT).
 </li>
 <li>
 
 
 Knowledge of DL/GenAI algorithms:
 
 Transformers
 
 ,
 
 CNN
 
 ,
 
 RNN
 
 , etc.
 </li>
 <li>
 Experience with
 
 NLP
 
 ,
 
 Large Language Models
 
 , and multi-modal models like GPT, LLaMa, Mistral, Qwen, Nemotron.
 </li>
 <li>
 Familiarity with
 
 Cloud platforms
 
 : Azure, AWS, or GCP.
 </li>
 <li>
 Experience with
 
 Git
 
 ,
 
 Docker
 
 , and
 
 Kubernetes
 
 .
 </li>
 <li>
 Strong problem-solving and analytical skills.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Why Join Us?
 
 
 <ul>
 <li>
 Work on cutting-edge AI/ML projects.
 </li>
 <li>
 Collaborative and innovative work environment.
 </li>
 <li>
 Flexible location across PAN India.
 </li>
 </ul>
 
 
 
</div>

Data Scientist – AI/ML/DL

Microsoft

<div>
 
 Overview
 
 
 
 Come build community, explore your passions and do your best work at Microsoft with thousands of University interns from every corner of the world. This opportunity will allow you to bring your aspirations, talent, potential&mdash;and excitement for the journey ahead.
 
 
 As a Data Scientist Intern at Microsoft, you will use machine learning, statistics, experiments, and more to build and improve great products while making business impact. As a Data Scientist intern you will collaborate with stakeholders, formulate approaches to solve problems and use algorithms and data sources in the context of business and engineering needs. You will also be able to combine your engineering abilities with analytical skills to make customer experiences better. Our Data Scientists use innovative methods, algorithms and tools daily to drive results throughout Microsoft devices, operating systems, products, and services and provide novel insights into business and customer scenarios.
 
 
 At Microsoft, Interns work on real-world projects in collaboration with teams across the world, while having fun along the way. You&rsquo;ll be empowered to build community, explore your passions and achieve your goals. This is your chance to bring your solutions and ideas to life while working on cutting-edge technology.
 
 
 Microsoft&rsquo;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
 
 
 
 <ul>
 <li>
 Formulate approaches to solve problems using well defined algorithms and data sources
 </li>
 <li>
 Incorporate an understanding of product functionality and customer perspective to provide context for those problems.
 </li>
 <li>
 Use data exploration techniques to discover new questions or opportunities within your problem area and propose applicability and limitations of the data.
 </li>
 <li>
 Interpret the results of their analysis, validate their approach, and learn to monitor, analyze, and iterate to continuously improve.
 </li>
 <li>
 Engage with peer stakeholders to produce clear, compelling, actionable insights that influence product and service improvements that will impact millions of customers.
 </li>
 <li>
 Participate in the peer review process and act on feedback while learning innovative methods, algorithms, and tools to increase the impact and applicability of your results.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Currently pursuing a Bachelors Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field.
 </li>
 <li>
 Must have at least one additional quarter/semester of school remaining following the completion of the internship
 
 
 </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Data Science INTERN

Citi

<div>
 The Spec Analytics Analyst is a trainee professional role. Requires a good knowledge of the range of processes, procedures and systems to be used in carrying out assigned tasks and a basic understanding of the underlying concepts and principles upon which the job is based. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Makes evaluative judgements based on the analysis of factual information. They are expected to resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Must be able to exchange information in a concise way as well as be sensitive to audience diversity. Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own job.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies
 </li>
 <li>
 Identifies and compiles data sets using a variety of tools (e.g. SQL, Access) to help predict, improve, and measure the success of key business to business outcomes
 </li>
 <li>
 Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis; which may include utilizing statistical models / algorithms and data visualization techniques
 </li>
 <li>
 Incumbents in this role may often be referred to as Data Scientists
 </li>
 <li>
 Specialization in marketing, risk, digital and AML fields possible
 </li>
 <li>
 Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 <ul>
 <li>
 1-6 years of related experience into Data Science preferred
 </li>
 <li>
 Have the ability to retrieve and manipulation data
 </li>
 <li>
 Working experience in a quantitative field
 </li>
 <li>
 Possess analytic ability and problem solving skills
 </li>
 <li>
 Excellent communication and interpersonal skills, be organized, detail oriented, and adaptive to matrix work environment
 
 
 </li>
 </ul>
 
 Education:
 
 
 
 <ul>
 <li>
 Bachelors/University degree or equivalent experience
 
 
 </li>
 </ul>
 This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
 
 
 ------------------------------------------------------
 
 
 
 Job Family Group:
 
 
 
 Decision Management
 
 
 ------------------------------------------------------
 
 
 
 Job Family:
 
 
 
 Specialized Analytics (Data Science/Computational Statistics)
 
 
 ------------------------------------------------------
 
 
 
 Time Type:
 
 
 
 Full time
 
 
 ------------------------------------------------------
 
 
 
 Most Relevant Skills
 
 
 
 Please see the requirements listed above.
 
 
 ------------------------------------------------------
 
 
 
 Other Relevant Skills
 
 
 
 For complementary skills, please see above and/or contact the recruiter.
 
 
 ------------------------------------------------------
 
 
 
 Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
 
 
 
 
 If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review
 
 
 Accessibility at Citi.
 
 
 
 
 View Citi&rsquo;s EEO Policy Statement and the Know Your Rights poster.
 
</div>

Data Scientist

<div>
 
 Overview
 
 
 
 Online advertising is what allows us to enjoy many online services for free, such as search engines, social networks, and music and video streaming platforms. It is also a growing business, as online time increases for more people and more advertisers want to reach them. The field of computational advertising combines information retrieval, data mining, machine learning, statistical modelling, optimization, linear algebra, and microeconomics to tackle the multitude of problems that can arise and to run operations optimally.
 
 
 We are hiring Data Scientists for the Microsoft Advertising Monetize analytics team and Microsoft Advertising Monetize. This team is responsible for driving overall product analytics, system observability, reporting, and identifying revenue growth opportunities. We use big data from different sources, such as advertisers, publishers, system components, and users, to identify connections between anomalies and conduct investigations, diagnosis, and resolution of issues that may impact the performance of the product, as well as to discover new areas of opportunity.
 
 
 For this role, we are looking for a strong software developer turned data enthusiast who loves to harness the power of data through statistical and quantitative analysis to gain meaningful insights and make key business decisions.
 
 
 
 Responsibilities
 
 
 
 Run analysis to explain behaviour of the products KPIs.
 
 
 <ul>
 <li>
 Improve dashboards and reporting of the system
 </li>
 <li>
 Running exploratory analysis to prove / disprove data hypothesis.
 </li>
 <li>
 Improve the system logging in the production code.
 </li>
 <li>
 Finding opportunities for improvements in revenue and other metrics of the system.
 </li>
 <li>
 Strong communication skills and ability to modify presentation as per audience.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 4+ years of relevant experience is expected; however, for exceptional candidates, experience is not a constraint.
 </li>
 <li>
 Bachelor's or master's degree in engineering with a strong emphasis on data analytics; flexibility is available for exceptional candidates.
 </li>
 <li>
 Knowledge of at least one programming language: C, C++, C#, or Java.
 </li>
 <li>
 Knowledge of Python and/or R for general coding as well as data analysis is highly valued.
 </li>
 <li>
 Knowledge in some of the following areas: Machine Learning, Quantitative Analysis, Big Data Analytics, Business Analytics, Regression Modelling, Predictive Modelling, and Analytical Decision-Making.
 </li>
 <li>
 Good verbal and written communication skills.
 </li>
 <li>
 Strong technical competence and analytical skills.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 A collaborative team player with curiosity, a growth mindset, and a strong sense of responsibility
 </li>
 <li>
 Working knowledge of any other cloud service
 </li>
 <li>
 Demonstrated ability to work in collaborative, cross-functional teams, and contribute to high-quality, maintainable codebases.
 </li>
 <li>
 Proven experience in shipping production-quality code in fast-paced environments.
 </li>
 <li>
 Exposure AI/ML concepts and practical application of AI tools to solve modern engineering challenges.
 
 
 </li>
 </ul>
 #AdsIDCPositions
 
 
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Data Scientist II

Syngene International Limited

<div>
 Date: 10 Oct 2025
 
 
 Location:
 
 
 Bangalore, KA, IN, 560099
 
 
 Division: Discovery Services
 
 
 
 Job Title: Invivo Pharmacology Scientist
 
 
 
 
 Job Location: Bangalore
 
 
 
 
 JOB PURPOSE (Briefly Describe The Objectives Of The Job)
 
 
 
 Responsible for executing the assigned in vivo efficacy studies in metabolic disorder therapeutic area.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Responsible to conduct assigned research projects including experiments with utilizing current concepts and recognized standard techniques.
 </li>
 <li>
 Responsible to set up the experimental designs, analysis of data and concluding from the progress.
 </li>
 <li>
 Record laboratory observations information in lab notebooks, database and document the experimental designs.
 </li>
 <li>
 Responsible for data analysis, perform calculations for the result of the experiment.
 </li>
 <li>
 Summarize the research and communicate result of research to the supervisor.
 
 
 </li>
 </ul>
 
 Educational Qualification
 
 
 
 <ul>
 <li>
 M.Pharm Pharmacology
 </li>
 <li>
 M.V.Sc Pharmacology / Pathology
 </li>
 <li>
 M.Sc Neuroscience / Biochemistry / Biotechnology
 
 
 </li>
 </ul>
 
 Work Experience
 
 
 
 0 - 6 years of Industrial experience
 
 
 
 Technical /Functional Skills
 
 
 
 <ul>
 <li>
 Hands-on experience in execution of CNS disease models which includes psychiatric disorders such as anxiety, depression, PTSD etc., and neurological conditions like Alzheimer&rsquo;s disease, Parkinson&rsquo;s disease, cerebral ischemia and epilepsy.
 </li>
 <li>
 Hands-on experience in animal behavioral observation, quantification of animal behavior, experience in stereotaxic surgery, microdialysis, cannulation techniques, immunohistochemistry and ELISA.
 </li>
 <li>
 Will work independently or in association with senior scientists and other associates in the design and execution of in-vivo efficacy experiments in the relevant therapeutic area.
 </li>
 <li>
 Experience in animals handling (rodents and non rodents) such as dosing by various routes, bleeding by various routes, injections by various routes and surgical modalities which includes cannulation etc&hellip;
 </li>
 <li>
 Associate to provide technical, analysis and reporting outcomes of research for projects in relevant therapeutic area.
 </li>
 <li>
 Organizational skills and the ability to work in a highly collaborative environment are required.
 
 
 </li>
 </ul>
 
 Behavioral/Managerial Skills
 
 
 
 <ul>
 <li>
 Good communication skills
 </li>
 <li>
 Excellent interpersonal skills.
 </li>
 <li>
 Good team player
 </li>
 <li>
 Strong documentation Skills.
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 It is the policy of Syngene to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by applicable legislation or local law. In addition, Syngene will provide reasonable accommodation for qualified individuals with disabilities.
</div>

in vivo pharmacologist

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