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ai scientist - 2 Jobs in Associate Talent Acquisition Advisory Consulting Ifs Bangalore Jobs In Mangaluru

ai scientist - 2

applied data scientist

Mercedes-Benz Research and Development India

<div>
 
 
 About MBRDI:
 
 
 
 Mercedes-Benz Research and Development India (MBRDI), headquartered in Bengaluru with a satellite office in Pune, is the largest R&amp;D center for Mercedes-Benz Group AG outside of Germany. Our mission is to drive innovation and excellence in automotive engineering, digitalization, and sustainable mobility solutions, shaping the future of mobility.
 
 
 
 
 
 
 About the Role
 
 
 
 We are looking for AI Enthusiasts&mdash;applied data scientists who thrive on learning, experimenting, and building the future of AI.
 
 
 This role is perfect for someone who is curious by nature, loves exploring new models and frameworks, and wants to grow into an expert in LLMs, AI Agents, and Multi-Agentic Systems.
 
 
 If you are someone who tinkers with tools even after work hours, reads about the latest breakthroughs, or enjoys turning ideas into prototypes&mdash;you will feel at home here.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 Explore and Build with LLMs
 
 
 <ul>
 <li>
 Experiment with new LLMs (GPT, Llama, Claude, Mistral, etc.).
 </li>
 <li>
 Try out new prompting patterns, fine-tuning methods, and retrieval strategies.
 </li>
 <li>
 Turn ideas into prototypes&mdash;quickly and creatively.
 </li>
 </ul>
 
 
 Play, Learn, and Create with Orchestrator Frameworks
 
 
 <ul>
 <li>
 Work with LangChain, LlamaIndex, CrewAI, or anything new that emerges.
 </li>
 <li>
 Build multi-step workflows, context managers, memory modules, and tool-based actions.
 </li>
 <li>
 Try different agent architectures and communication patterns.
 </li>
 </ul>
 
 
 Design Multi-Agentic Systems
 
 
 <ul>
 <li>
 Build agents that collaborate, debate, plan, and execute tasks autonomously.
 </li>
 <li>
 Experiment with A2A (Agent-to-Agent) interaction workflows.
 </li>
 <li>
 Convert experimental agents into enterprise-ready pipelines.
 </li>
 </ul>
 
 
 Grow into Enterprise-Scale AI
 
 
 <ul>
 <li>
 Learn how to scale your prototypes into real applications.
 </li>
 <li>
 Use Azure services&mdash;Azure OpenAI, App Service, Functions, AKS, ADLS&mdash;to deploy AI workloads.
 </li>
 <li>
 Work with Git, CI/CD, microservices, Docker, and cloud best practices.
 </li>
 </ul>
 
 
 Constant Learning &amp; Innovation
 
 
 <ul>
 <li>
 Read research papers, follow AI trends, and test new libraries.
 </li>
 <li>
 Participate in internal hackathons and AI/GenAI forums.
 </li>
 <li>
 Regularly bring fresh ideas, PoCs, and innovative techniques to the team.
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 <ul>
 <li>
 5&ndash;7 years of experience in data science / applied ML / AI engineering.
 </li>
 <li>
 Strong Python development background.
 </li>
 <li>
 Experience with Git/GitHub workflows.
 </li>
 <li>
 Practical exposure to LLMs, embeddings, and RAG pipelines.
 </li>
 <li>
 Hands-on experience with orchestrators (LangChain, LlamaIndex, CrewAI).
 </li>
 <li>
 Experience building AI Agents and/or multi-agent systems.
 </li>
 <li>
 Knowledge of cloud platforms (Azure preferred).
 </li>
 <li>
 Understanding of scalable and enterprise application development.
 </li>
 </ul>
 
 
 
 
 
 Good to Have :
 
 
 <ul>
 <li>
 MCP (Model Context Protocol) experimentation.
 </li>
 <li>
 Databricks, Delta Lake, or Spark exposure.
 </li>
 <li>
 Contributions to open-source AI tools or repos.
 </li>
 <li>
 Automation experience with n8n or agent frameworks.
 </li>
 <li>
 Experience with structured + unstructured data pipelines.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us?
 
 
 
 &middot; Be part of a purpose-driven organization that&rsquo;s shaping the future of mobility.
 
 
 &middot; Work on cutting-edge technologies and global projects.
 
 
 &middot; Thrive in a collaborative, diverse, and inclusive environment.
 
 
 &middot; Access world-class infrastructure and learning opportunities.
 
 
 
 
 
 
 Equal Opportunity Statement:
 
 
 
 At MBRDI, we are committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of gender, background, or ability.
 
</div>

Applied Data Scientist

Cisco

<div>
 
 Meet the Team
 
 
 
 The
 
 Product Operations &ndash; Business Intelligence (BI) team
 
 sits at the heart of the Supply Chain organization, where data meets real-world decision-making. We tackle some of the most complex operational challenges by combining advanced analytics, BI solutions, and cutting-edge AI/GenAI capabilities. Our mission is to transform data into action&mdash;driving deeper insights, increasing operational efficiency, and enabling smarter, faster decisions across the entire supply chain. We don&rsquo;t just report on the business; we help shape its future.
 
 
 
 Your Impact
 
 
 
 This role is ideal for someone who thrives on solving complex data problems, designing AI solutions, and contributing to large-scale transformation programs.
 
 
 
 As a Data Scientist, You Will
 
 
 
 <ul>
 <li>
 Partner with business units and supply chain stakeholders to understand their analytics needs and translate them into scalable AI solutions.
 </li>
 <li>
 Design, develop, and implement intuitive models and AI solutions
 </li>
 <li>
 Take the lead on supply chain transformation analytics&mdash;owning everything from doing POCs to production solution deployment.
 </li>
 <li>
 Collaborate with architects, business partners (GPOs, BU verticals), and IT to define use cases and design data-driven capabilities that deliver tangible business outcomes.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in computer science, Data Science, AI/ML, or a related field.
 </li>
 <li>
 6+ years of experience in data science or applied machine learning roles, ideally within supply chain, operations, or manufacturing domains.
 </li>
 <li>
 Hands-on experience with: Large Language Models (LLMs),Transformer architectures and fine-tuning model to Domain specific needs.
 </li>
 <li>
 Generative AI models using frameworks such as Hugging Face, LangChain, Lang Smith, Lang graph or OpenAI APIs, Llama index
 </li>
 <li>
 Experience in building AI Agents and other advanced concepts such as Agent2Agent (A2A) Model context protocol (MCP) for sophisticated Gen AI solutions.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with software engineering skills, real-time analytics, ML model APIs, Rest API development or serverless architectures.
 </li>
 <li>
 Familiarity with data governance, privacy, and responsible AI practices.
 </li>
 <li>
 Prior work in supply chain analytics or operational data science.
 </li>
 <li>
 Google Cloud certifications (e.g., Professional Data Engineer, ML Engineer) are a plus.
 
 
 </li>
 </ul>
 Why Cisco?
 
 
 At Cisco, we&rsquo;re revolutionizing how data and infrastructure connect and protect organizations in the AI era &ndash; and beyond. We&rsquo;ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
 
 
 Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you&rsquo;ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
 
 
 We are Cisco, and our power starts with you.
</div>

Data Scientist – Supply Chain

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

Tesco Bengaluru

<div>
 
 
 Job Title: Manager-Decision Scientist
 
 
 
 
 Job Summary:
 
 Lead Enterprise Analytics team&rsquo;s partnerships with Business teams across Tesco group to enable data driven decisions and deliver on organization's key strategic priorities and business impact.
 
 
 
 In this job, I&rsquo;m accountable for:
 
 
 
 - Developing and leading a high performing team, creating an environment for success by setting direction and coaching them to succeed through inspiring conversations every day. (Refer to the expectations of a manager at Tesco- the minimum standards)
 
 
 - Initiates and designs continuous improvements initiatives to drive performance within their teams
 
 
 - Accountable for achieving teams objectives, stakeholder management and escalation management.
 
 
 - Making decisions within policy and procedure framework to deliver business plans.
 
 
 Engage with business teams to understand their key objectives, translate business problems to analytical problems that can drive disproportionate returns and scope the same into analytical scoping document calling out how application of Data Science will improve decision making
 
 
 - Own creation and delivery of long term plans programs based on key priorities of the business function and proactively spot sizeable opportunities to deliver value beyond the agreed plans
 
 
 - Institutionalize robust ways of working by demonstrating thought leadership in scoping the business problems, solution design, developing reusable frameworks, driving best coding practices and knowledge management
 
 
 - Drive value realization through delivery of high impact projects and efficiency gain through automation
 
 
 - Establish frameworks to quantify business impact and measure return on investment for Analytical Investments
 
 
 - Build a culture of continuous measurement and identifying ways to maximize impact delivered per colleague
 
 
 - Develop and lead an impactful team, crafting an environment for success by setting direction, stretch objectives and mentor colleagues to succeed through inspiring conversations every day
 
 
 - Mentor team and building personal development plans for each colleague to enable individual&rsquo;s career development
 
 
 - Lead functional initiatives to drive continuous development of Enterprise Analytics
 
 
 
 
 
 
 Experience relevant for this job:
 
 
 
 7-12 years experience in analytics delivery preferred, with preference for:
 
 
 Industry experience: Retail, CPG, e-Commerce
 
 
 Functional experience: Customer, Category / Product Management, Merchandising, Marketing, Supply Chain, Operations, Fulfillment, Finance
 
 
 
 Skills :
 
 SQL , Python, Machine learning
 
 
 
 Operational skills relevant for this job:
 
 
 
 - Applied Math : Regression Analysis, Tree Based Algorithms, Neural Network, Classification, Clustering, Optimization Programming, Design of Experiments
 
 
 - Tech : Python, SQL, Hive, Hadoop, Spark Tableau, PyDash or any other web based visualization tool
 
 
 - Retail Expertise, Partnership management, Analytical Thinking &amp; Problem solving, Storyboarding, People Management Skills
 
</div>

Manager-Decision Scientist

Intuit

<div>
 
 Overview
 
 
 
 Intuit is seeking a Sr Data Scientist to join our Data sciences in Intuit India.
 
 
 The AI team develops game changing technologies and experiments that redefine and disrupt our current product offerings. You&rsquo;ll be building and prototyping algorithms and applications on top of the collective financial data of 100 million consumers and small businesses. Applications will span multiple business lines, including personal finance, small business accounting, and tax.
 
 
 You thrive on ambiguity and will enjoy the frequent pivoting that&rsquo;s part of the exploration. Your team will be very small and team members frequently wear multiple hats.
 
 
 In this position you will have close collaboration with the engineering and design teams, as well as the product and data teams in business units. Your role will range from research experimentalist to technology innovator to consultative business facilitator. You must be comfortable partnering with those directly involved with big data infrastructure, software, and data warehousing, as well as product management.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Perform hands-on data analysis and modeling with huge data sets.
 </li>
 <li>
 Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
 </li>
 <li>
 Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
 </li>
 <li>
 Discover data sources, get access to them, import them, clean them up, and make them &ldquo;model-ready&rdquo;. You need to be willing and able to do your own ETL.
 </li>
 <li>
 Create and refine features from the underlying data. You&rsquo;ll enjoy developing just enough subject matter expertise to have an intuition about what features might make your model perform better, and then you&rsquo;ll lather, rinse and repeat.
 </li>
 <li>
 Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
 </li>
 <li>
 Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 MS or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.).
 </li>
 <li>
 2+ years of experience with data science for PhD and 5+ years for Masters.
 </li>
 <li>
 Experience in modern advanced analytical tools and programming languages such as R or Python with scikit-learn.
 </li>
 <li>
 Efficient in SQL, Hive, or SparkSQL, etc.
 </li>
 <li>
 Comfortable in Linux environment
 </li>
 <li>
 Experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, recommender systems, sequential pattern discovery, and text mining.
 </li>
 <li>
 Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences
 
 
 </li>
 </ul>
 
 Preferred Additional Experience
 
 
 
 <ul>
 <li>
 Apache Spark
 </li>
 <li>
 The Hadoop ecosystem
 </li>
 <li>
 Java
 </li>
 <li>
 HP Vertica
 </li>
 <li>
 TensorFlow, reinforcement learning
 </li>
 <li>
 Ensemble Methods, Deep Learning, and other topics in the Machine Learning community
 </li>
 <li>
 Familiarity with GenAI and other LLM and DL methods
 
 
 </li>
 </ul>
 Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
</div>

Senior AI Scientist

West Pharmaceutical Services

<div>
 
 Description
 
 
 
 
 
 Job Summary
 
 
 
 
 The Data Scientist, D&amp;T will be part of a multidisciplinary team responsible for designing and developing innovative data-driven analytical solutions. This role will leverage advanced analytics, Machine Learning, NLP, Computer Vision, and Generative AI to address complex business challenges and deliver measurable value.
 
 
 
 Essential Duties And Responsibilities
 
 
 
 <ul>
 <li>
 Partner with stakeholders across functions to uncover and prioritize use cases where ML, statistical modeling, or GenAI/Agentic AI solutions can create business impact.
 </li>
 <li>
 Lead end-to-end model/agent lifecycles: from problem definition, data exploration, feature engineering, and model/agent design to deployment, monitoring, and continuous improvement.
 </li>
 <li>
 Ingest, integrate, and preprocess large-scale structured, semi-structured, and unstructured datasets, ensuring high standards of data quality and integrity.
 </li>
 <li>
 Develop and enhance scalable data pipelines and infrastructure; proactively detect and mitigate data drift, bias, or quality gaps.
 </li>
 <li>
 Drive development of specialized computer vision solutions (e.g., object detection, classification, OCR, segmentation) for business-critical applications such as manufacturing, quality control, and compliance monitoring
 </li>
 <li>
 Design and operationalize CI/CD and AgentOps workflows: model/dataset versioning, reproducibility, automated testing, deployment, rollback, and governance.
 </li>
 <li>
 Define, implement, and monitor evaluation metrics (accuracy, robustness, fairness, latency, safety, etc.) for both offline and production environments.
 </li>
 <li>
 Conduct error analysis, monitor live model/agent performance, and ensure compliance with AI governance and ethical standards.
 </li>
 <li>
 Create intuitive dashboards, reports, and data visualizations (e.g., Power BI, Fabric) to communicate insights to technical and non-technical stakeholders.
 </li>
 <li>
 Translate technical findings into actionable business recommendations; clearly communicate risks, performance, and opportunities to decision-makers.
 </li>
 <li>
 Collaborate closely with BI, engineering, and domain experts to operationalize data-driven solutions at scale.
 </li>
 <li>
 Awareness of compliance, SOPs, and ethical AI practices in enterprise environments.
 </li>
 <li>
 Working knowledge of CI/CD, MLOps and AgentOps practices: reproducible pipelines, monitoring, governance with telemetry and observability.
 
 
 </li>
 </ul>
 
 Additional Responsibilities
 
 
 
 
 
 Education
 
 
 
 
 <ul>
 <li>
 Bachelor's or master's degree in computer science, Mathematics, Statistics, Data Science, or related quantitative field.
 
 
 </li>
 </ul>
 
 
 Work Experience
 
 
 
 
 <ul>
 <li>
 3 - 6 years of relevant experience in data science, machine learning, or applied AI roles.
 
 
 </li>
 </ul>
 
 Preferred Knowledge, Skills And Abilities
 
 
 
 <ul>
 <li>
 </li>
 <ul>
 <li>
 Strong proficiency in Python, SQL and prompt engineering for data manipulation, analysis, and querying large datasets.
 </li>
 <li>
 Context engineering and proficiency in executing GenAI projects at scale with prompt versioning, evaluation and tracing to debug GenAI pipelines
 </li>
 <li>
 Proficiency with Computer Vision libraries and frameworks (e.g., OpenCV, TensorFlow, PyTorch, StableDiffusion) and experience in building real-world image/video analysis pipelines.
 </li>
 <li>
 Familiarity with Generative AI and LLMs, including experience building Agentic-RAG pipelines using frameworks such as ReAct with tool integrations, memory, and reflection
 </li>
 <li>
 Solid understanding of how to evaluate/test ML &amp; AI models: accuracy, robustness, fairness, drift, latency, interpretability, and safety.
 </li>
 <li>
 Exposure in building ETL pipelines and advanced feature engineering workflows for ML/AI, including vision-based applications
 </li>
 <li>
 Strong foundation in statistics: regression, hypothesis testing, probability distributions
 </li>
 <li>
 Independent problem-solving skills, creativity, and the ability to prioritize in fast-paced environments.
 </li>
 <li>
 Strong collaboration and communication skills, with the ability to work effectively in global and virtual settings.
 </li>
 <li>
 Familiarity with cloud platforms ( Azure preferred , including Azure AI Foundry, AzureML, OpenAI platform, Synapse and storage).
 </li>
 <li>
 Skilled in data visualization and BI tools (Power BI or equivalent), with the ability to present complex insights clearly to non-technical stakeholders.
 </li>
 <li>
 Agentic frameworks like lanGraph, AutoGen, CrewAI etc. familiar with implementing graph RAG, multimodal RAG
 
 </li>
 </ul>
 </ul>
 
 
 License and Certifications
 
 
 
 
 
 
 Travel Requirements
 
 
 
 
 10%: Up to 26 business days per year
 
 
 
 
 Physical Requirements
 
 
 
 
 Sedentary-Exerting up to 10lbs/4kgs of force occasionally, and/or negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. Sedentary work involves sitting most of the time.
</div>

Data Scientist, D&T

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

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