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ind senior data scientist

Walmart Global Tech India

<div>
 Position Summary...
 
 
 What you'll do...
 
 
 
 About the Team:
 
 
 
 Centroid team at Walmart serves as the backbone of Walmart's end-to-end supply chain strategy. They are entrusted with the task of designing and implementing a long-term supply chain strategy that uses advanced data analytics and data science. Their primary objective is to ensure that Walmart provides top-tier customer service while supporting the increasing demand over time and simultaneously operating at low and efficient costs.
 
 
 The team utilizes sophisticated data analysis methods to understand patterns, identify potential bottlenecks, and predict future trends. This enables them to optimize processes, make informed business decisions, and enhance overall operational efficiency.
 
 
 One of Centroids key responsibilities also includes the creation of a Digital Twin Simulation platform for Walmart's supply chain. This innovative tool allows the team to test and validate all future strategies and tactical decisions before they are launched operationally. It also enables a deep assessment of long-term strategic sensitivity.
 
 
 In essence, the Centroid teams work is integral to ensuring Walmart's supply chain is robust, flexible, and capable of adapting to ever-changing market demands. Their work helps to keep Walmart at the forefront of retail supply chain management, delivering exceptional service to customers while maintaining efficient operational costs.
 
 
 
 What You'll do:
 
 
 
 <ul>
 <li>
 Develop and manage advanced data analytics models to optimize supply chain strategies, balancing customer satisfaction with operational cost and asset efficiency.
 </li>
 <li>
 Leverage data analytics to identify opportunities for improvement and drive impactful results through collaboration with cross-functional teams.
 </li>
 <li>
 Establish relationships across Walmart functional areas to identify best practices, solicit data/input, coordinate interdisciplinary initiatives, and rally support for data-driven recommendations.
 </li>
 <li>
 Secure alignment and support from relevant business partners and management for data-centric projects, leading discussions to drive necessary change.
 </li>
 <li>
 Utilize all available data resources effectively to ensure successful project outcomes.
 </li>
 <li>
 Communicate data insights clearly and persuasively through emails, verbal discussions, and presentations, tailoring communication methods to the audience for maximum impact.
 </li>
 <li>
 Collaborate with multiple supply chain business teams to proactively identify, assess, and leverage cost-saving and service improvement opportunities through advanced data analytics.
 </li>
 <li>
 Utilize advanced analytics models to derive insights that will inform policy design across various supply chain areas, laying out multiple scenarios and performing sensitivity analysis.
 </li>
 <li>
 Collaborate with Data Scientists and Engineers to productionize and scale advanced analytics models as needed.
 </li>
 <li>
 Develop and present compelling data-driven narratives/documents/visuals to influence key stakeholders in their decision-making.
 </li>
 <li>
 Provide coaching and training support to other team members in the supply chain area, leveraging your expertise in advanced data analytics.
 
 
 </li>
 </ul>
 
 What You'll bring:
 
 
 
 <ul>
 <li>
 Strong analytical acumen with technical expertise in Advanced Data Analytics and modelling
 </li>
 <li>
 Expert in SQL, - BigQuery like cloud data platforms.
 </li>
 <li>
 Expert in programming in Python, (or R)
 </li>
 <li>
 Experience in using data visualization tools like Tableau and Looker and be able to drive powerful insights.
 </li>
 <li>
 Experience working with large data sets and distributed computing tools (Map/Reduce, Hadoop, Hive, and/or Spark)
 </li>
 <li>
 Experience in operating from a cloud environment such as Google Could Platform or Microsoft Azure.
 </li>
 <li>
 Ability to work in a fast-paced, iterative development environment.
 </li>
 <li>
 Strong communication skills, both written and verbal, plus ability to work with cross functional teams of technical and non-technical members.
 </li>
 <li>
 Strong ability to understand the business and have good stakeholder management capabilities.
 </li>
 <li>
 Experience of working in cross-functional environment and leading or mentoring teams.
 
 
 </li>
 </ul>
 
 About Walmart Global Tech
 
 
 
 Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. Were a team of software engineers, data scientists, cybersecurity experts and service professionals within the worlds leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered.
 
 
 We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.
 
 
 
 Flexible, hybrid work
 
 
 
 We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives.
 
 
 
 Benefits
 
 
 
 Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.
 
 
 
 Belonging
 
 
 
 We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone.
 
 
 At Walmart, our vision is ''everyone included.'' By fostering a workplace culture where everyone is and feels included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, were able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.
 
 
 
 Equal Opportunity Employer
 
 
 
 Walmart, Inc., is an Equal Opportunities Employer By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions while being welcoming of all people.
 
 
 
 Minimum Qualifications...
 
 
 
 
 
 Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
 
 
 
 
 Minimum Qualifications:Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field.
 
 
 
 Preferred Qualifications...
 
 
 
 
 
 Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
 
 
 
 
 
 Primary Location...
 
 
 
 BLOCK- 1, PRESTIGE TECH PACIFIC PARK, SY NO. 38/1, OUTER RING ROAD KADUBEESANAHALLI, , India R-2332242
</div>

(IND) SENIOR, DATA SCIENTIST

MillerKnoll

<div>
 
 Why join us?
 
 
 
 Our purpose is to design for the good of humankind. It&rsquo;s the ideal we strive toward each day in everything we do. Being a part of MillerKnoll means being a part of something larger than your work team, or even your brand. We are redefining modern for the 21st century. And our success allows MillerKnoll to support causes that align with our values, so we can build a more sustainable, equitable, and beautiful future for everyone.
 
 
 Job Description: Financial Analyst &ndash; Chartered Accountant
 
 
 Location: Bangalore
 
 
 Department: Finance
 
 
 Reports To: Finance Controller
 
 
 Job Summary:
 
 
 We are seeking a highly skilled and detail-oriented Financial Analyst with a Chartered Accountant qualification and 4&ndash;5 years of experience in the manufacturing industry. The ideal candidate will be responsible for analyzing financial data, preparing reports, prepare margin analysis for projects and providing strategic insights to support business decisions and improve financial performance.
 
 
 Key Responsibilities:
 
 
 Financial Planning &amp; Analysis (FP&amp;A)
 
 
 <ul>
 <li>
 Prepare and analyze monthly, quarterly, and annual financial reports.
 </li>
 <li>
 Support budgeting, forecasting, and long-term planning.
 </li>
 <li>
 Monitor key performance indicators (KPIs) and variance analysis.
 
 
 </li>
 </ul>
 Business Partnering
 
 
 <ul>
 <li>
 Work closely with cross-functional teams (production, procurement, sales) to provide financial insights.
 </li>
 <li>
 Assist in evaluating capital expenditure proposals and ROI analysis.
 </li>
 <li>
 Assist in profitability and margin analysis
 
 
 </li>
 </ul>
 Taxes, Compliance &amp; Controls
 
 
 <ul>
 <li>
 Basic knowledge of Income tax and GST.
 </li>
 <li>
 Ensure adherence to accounting standards (Ind AS/AS) and US GAAP.
 </li>
 <li>
 Support statutory audits, internal audits, SOX compliances and tax assessments.
 
 
 </li>
 </ul>
 Data Analysis &amp; Reporting
 
 
 <ul>
 <li>
 Use ERP systems and BI tools for data extraction and reporting.
 </li>
 <li>
 Present financial insights to senior management in a clear and actionable format.
 
 
 </li>
 </ul>
 Qualifications &amp; Skills:
 
 
 Education: Chartered Accountant (CA) &ndash; ICAI certified
 
 
 Experience: 4&ndash;5 years in financial analysis, preferably in a manufacturing/ trading setup
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 Strong proficiency in Excel and SAP, Oracle or equivalent ERP systems
 </li>
 <li>
 Familiarity with costing methodologies and inventory accounting
 </li>
 <li>
 Basic knowledge of AS, Ind AS, GST, Customs and other regulatory frameworks
 
 
 </li>
 </ul>
 Soft Skills:
 
 
 <ul>
 <li>
 Analytical mindset with attention to detail
 </li>
 <li>
 Strong communication and presentation skills
 </li>
 <li>
 Ability to work independently and as part of a team
 </li>
 <li>
 Time management, prioritization, ability to work with tight deadlines
 
 
 </li>
 </ul>
 Preferred Experience:
 
 
 <ul>
 <li>
 Exposure to plant-level finance operations
 </li>
 <li>
 Exposure to process automation and other finance initiatives
 
 
 </li>
 </ul>
 
 Who We Hire?
 
 
 
 Simply put, we hire qualified applicants representing a wide range of backgrounds and abilities. MillerKnoll is comprised of people of all abilities, gender identities and expressions, ages, ethnicities, sexual orientations, veterans from every branch of military service, and more. Here, you can bring your whole self to work. We&rsquo;re committed to equal opportunity employment, including veterans and people with disabilities.
 
 
 MillerKnoll complies with applicable disability laws and makes reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact MillerKnoll Talent Acquisition at careers_help@millerknoll.com.
</div>

Financial Analyst

UsefulBI Corporation

<div>
 
 Job Title: Gen AI Developer
 
 
 Location: Bangalore / Lucknow
 
 
 Role Type: Full-time, Senior level
 
 
 Company&rsquo;s website: https://usefulbi.com
 
 
 LinkedIn link: UBI LinkedIn
 
 
 
 
 
 About UsefulBI:
 
 
 UsefulBI is a leading AI-driven data solutions provider specialising in data engineering, cloud transformations, and AI-powered analytics for Fortune 500 companies. We help businesses turn complex data into actionable insights through our innovative products and services.
 
 
 
 
 
 Role Overview:
 
 
 We are seeking a Senior Data Scientist / Gen AI Developer who is passionate about transforming raw data into intelligent business insights and building AI models that solve real-world problems. In this role, you&rsquo;ll work across the entire data science lifecycle&mdash;from exploratory analysis and statistical modeling to deploying advanced LLM-based and Generative AI solutions.
 
 
 
 
 
 You will be at the forefront of building AI-powered products across domains like healthcare, life sciences, finance, and enterprise analytics, with a focus on real-world impact and scalable architecture.
 
 
 
 
 
 Key Responsibilities:
 
 
 &bull; Develop and deploy applications using Large Language Models (LLMs) like GPT-4, Claude, LLaMA, and Gemini.
 
 
 &bull; Build GenAI-powered tools such as AI report generators, contextual chatbots, summarization engines, and semantic search applications.
 
 
 &bull; Design, optimize, and evaluate prompts tailored for various use cases and user personas.
 
 
 &bull; Implement and enhance Retrieval-Augmented Generation (RAG) workflows for improved relevance and accuracy.
 
 
 &bull; Fine-tune and customize foundation models using techniques like LoRA, PEFT, and prompt-tuning.
 
 
 &bull; Evaluate and monitor model performance on accuracy, latency, and business-specific KPIs.
 
 
 &bull; Apply NLP techniques such as entity recognition, topic modeling, summarization, sentiment analysis, and question answering.
 
 
 &bull; Work with libraries and frameworks such as Hugging Face Transformers, Lang Chain, spaCy, and NLTK.
 
 
 &bull; Deploy GenAI applications using cloud platforms like AWS Bedrock/SageMaker, GCP Vertex AI, or Azure OpenAI.
 
 
 &bull; Build scalable and secure inference pipelines integrated with backend systems and APIs.
 
 
 &bull; Use tools like MLflow and Docker for model lifecycle management and MLOps best practices.
 
 
 &bull; Collaborate with cross-functional teams including product managers, data engineers, and designers to align AI outputs with business needs.
 
 
 &bull; Continuously experiment with new GenAI models, tools, and research to keep the solutions cutting-edge.
 
 
 
 
 
 Required Skills and Qualifications:
 
 
 &bull; 7+ years of experience as a Data Scientist with good experience in Generative AI or LLM-based applications.
 
 
 &bull; Strong expertise in Python and libraries like Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch.
 
 
 &bull; Experience in end-to-end ML lifecycle including model development, validation, and deployment. &bull; Solid understanding of statistics, probability, and data modeling.
 
 
 &bull; Experience with NLP libraries (NLTK, spaCy, Hugging Face Transformers).
 
 
 &bull; Hands-on experience with GenAI tools: OpenAI APIs, LangChain, RAG, LLM fine-tuning.
 
 
 &bull; Experience with SQL and at least one NoSQL database.
 
 
 &bull; Familiarity with cloud platforms (AWS, GCP, Azure) and version control (Git).
 
 
 &bull; Strong communication skills with the ability to explain complex models to non-technical audiences.
 
 
 
</div>

Data Scientist(Gen AI , Databricks)

Happiest Minds Technologies

<div>
 
 Job Description
 
 
 
 **Job Title: Data Scientist - Data**
 
 
 **Company: Happiest Minds**
 
 
 **Location: [Insert Location]**
 
 
 **Job Type: Full-Time**
 
 
 **Experience Required: 3 to 5 years**
 
 
 
 About Happiest Minds
 
 
 
 Happiest Minds is a leading digital transformation and IT services company, committed to delivering innovative technology solutions. Our mission is to make our customers happier by providing unparalleled digital services. We focus on customer satisfaction, and our team of passionate experts is the key to our success.
 
 
 
 Job Summary
 
 
 
 Happiest Minds is seeking a talented and experienced Data Scientist to join our dynamic team. The ideal candidate will have a strong background in Python, machine learning, and natural language processing (NLP). You will work on a variety of exciting projects, leveraging data to drive insights and solutions that enhance business outcomes.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Build and deploy machine learning models to address business challenges.
 </li>
 <li>
 Analyze and interpret complex data sets using statistical techniques and tools in Python.
 </li>
 <li>
 Develop and implement NLP applications that enhance our product offerings.
 </li>
 <li>
 Collaborate with cross-functional teams to gather requirements and deliver impactful data-driven solutions.
 </li>
 <li>
 Conduct experiments and prototyping, and translate complex results into actionable insights.
 </li>
 <li>
 Monitor model performance and retrain models as necessary.
 </li>
 <li>
 Stay updated with emerging trends and technologies in data science and machine learning.
 
 
 </li>
 </ul>
 
 Required Skills And Qualifications
 
 
 
 <ul>
 <li>
 Bachelor?s or Master?s degree in Computer Science, Data Science, Statistics, or a related field.
 </li>
 <li>
 Minimum of 3 years and a maximum of 5 years of relevant work experience as a Data Scientist.
 </li>
 <li>
 Proficiency in Python programming and familiar with libraries such as Pandas, NumPy, Scikit-learn, and TensorFlow.
 </li>
 <li>
 Strong understanding of machine learning techniques and algorithms.
 </li>
 <li>
 Experience with Natural Language Processing (NLP) and its applications.
 </li>
 <li>
 Excellent analytical skills, with the ability to work with large datasets.
 </li>
 <li>
 Strong problem-solving skills and a keen attention to detail.
 </li>
 <li>
 Ability to communicate complex findings in a clear and concise manner.
 </li>
 <li>
 Experience working in an Agile or similar project management environment is a plus.
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 A vibrant work culture with a focus on employee happiness.
 </li>
 <li>
 Opportunities for professional growth and development.
 </li>
 <li>
 Competitive salary and benefits package.
 </li>
 <li>
 Work-life balance and flexibility.
 
 
 </li>
 </ul>
 If you are a passionate Data Scientist looking to make a significant impact through innovative data solutions, we would love to hear from you. Apply now to join the Happiest Minds family!
 
 
 
 To Apply
 
 
 
 Please send your resume and a cover letter to [Insert Email Address] with the subject line "Application for Data Scientist - Data".
 
 
 *Happiest Minds is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.*
</div>

DATA ARCHITECT - DATA

<div>
 At EY, you&rsquo;ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we&rsquo;re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
 
 
 
 EY GDS &ndash; Data and Analytics (D&amp;A) &ndash; Senior &ndash; Senior Data Scientist
 
 
 
 Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.
 
 
 
 Responsibilities:
 
 
 
 
 Your technical responsibilities:
 
 
 
 <ul>
 <li>
 Contribute to the design and implementation of state-of-the-art AI solutions.
 </li>
 <li>
 Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.
 </li>
 <li>
 Collaborate with stakeholders to identify business opportunities and define AI project goals.
 </li>
 <li>
 Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
 </li>
 <li>
 Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
 </li>
 <li>
 Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
 </li>
 <li>
 Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
 </li>
 <li>
 Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
 </li>
 <li>
 Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
 </li>
 <li>
 Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
 </li>
 <li>
 Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.
 </li>
 <li>
 Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.
 </li>
 <li>
 Ensure compliance with data privacy, security, and ethical considerations in AI applications.
 </li>
 <li>
 Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus.
 </li>
 <li>
 Minimum 3-7 years of experience in Data Science and Machine Learning.
 </li>
 <li>
 In-depth knowledge of machine learning, deep learning, and generative AI techniques.
 </li>
 <li>
 Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.
 </li>
 <li>
 Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
 </li>
 <li>
 Familiarity with computer vision techniques for image recognition, object detection, or image generation.
 </li>
 <li>
 Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
 </li>
 <li>
 Expertise in data engineering, including data curation, cleaning, and preprocessing.
 </li>
 <li>
 Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
 </li>
 <li>
 Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.
 </li>
 <li>
 Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
 </li>
 <li>
 Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
 </li>
 <li>
 Understanding of data privacy, security, and ethical considerations in AI applications.
 </li>
 <li>
 Track record of driving innovation and staying updated with the latest AI research and advancements.
 
 
 </li>
 </ul>
 
 Good to Have Skills:
 
 
 
 <ul>
 <li>
 Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.
 </li>
 <li>
 Utilize optimization tools and techniques, including MIP (Mixed Integer Programming).
 </li>
 <li>
 Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models.
 </li>
 <li>
 Implement CI/CD pipelines for streamlined model deployment and scaling processes.
 </li>
 <li>
 Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.
 </li>
 <li>
 Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation.
 </li>
 <li>
 Implement monitoring and logging tools to ensure AI model performance and reliability.
 </li>
 <li>
 Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
 </li>
 <li>
 Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.
 
 
 </li>
 </ul>
 
 EY | Building a better working world
 
 
 
 EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
 
 
 Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
 
 
 Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
</div>

EY - GDS Consulting - AI And DATA -Gen AI - Senior

<div>
 
 
 Role Description
 
 
 <ul>
 <li>
 Ensure compliance with Indian Accounting Standards (Ind AS), Schedule VI, and applicable regulatory reporting requirements
 </li>
 <li>
 Strong understanding of IAS and IFRS for accurate financial reporting and consolidation
 </li>
 <li>
 Manage accounting activities related to payroll, provisions, and general ledger; working knowledge of SAP or similar ERP systems is essential
 </li>
 <li>
 Independently identify, track, and resolve accounting issues within defined timelines
 </li>
 <li>
 Drive compliance and timely deliverables across MIS, TDS, GST/VAT, Service Tax, and Profession Tax
 </li>
 <li>
 Review monthly MIS, perform GL scrutiny, and ensure adherence to internal controls
 </li>
 <li>
 Coordinate with internal teams, statutory auditors, internal auditors, and external vendors for smooth operations and audit closure
 </li>
 </ul>
 
 
 
 
 
 Key Responsibilities / Tasks
 
 
 <ul>
 <li>
 Manage monthly closing, consolidation, and financial reporting processes
 </li>
 <li>
 Ensure accuracy and timeliness in statutory and management reporting
 </li>
 <li>
 Oversee treasury accounting, including banking operations and cash flow management
 </li>
 <li>
 Support international operations reporting in collaboration with cross-functional teams
 </li>
 <li>
 Supervise secretarial and compliance functions in coordination with the Company Secretary team
 </li>
 <li>
 Assist in preparation of presentations for the Board and Audit Committee
 </li>
 <li>
 Manage external audit relationships and support internal audit requirements
 </li>
 <li>
 Maintain clean and reconciled ledgers; ensure robust system-driven bank reconciliations
 </li>
 </ul>
 
 
 
 
 
 Desired Profile
 
 
 <ul>
 <li>
 Chartered Accountant (CA) with 2&ndash;3 years of post-qualification experience
 </li>
 <li>
 Hands-on experience in financial reporting, compliance, and audit coordination
 </li>
 <li>
 Strong analytical, problem-solving, and stakeholder management skills
 </li>
 <li>
 Proficiency in SAP and MS Excel; ability to work with large data sets and drive process efficiency
 </li>
 </ul>
 
 
</div>

Assistant Manager- Controllership

Amazon

<div>
 
 Description
 
 
 
 If you enjoy working in an environment that fosters career development, ownership, with opportunity to optimize processes, this is the role for you. We are looking for a bright, well organized and self-motivated Executive Assistant to support two Directors on our Supply Chain Execution team in Bangalore, KA, IND.
 
 
 This role requires five (5) days a week in office.
 
 
 This Executive Assistant will be responsible for handling confidential information and maintaining professionalism in dealing with senior executives. Role responsibilities include managing multiple complex calendars, planning and organizing events of all sizes, and coordinating domestic and international travel. This candidate will help build a positive team environment and establish working relationships inside and outside of the group.
 
 
 Key job responsibilities
 
 
 <ul>
 <li>
 Management of complex calendar and scheduling to support the Directors.
 </li>
 <li>
 Manage both domestic and international travel and process expense reports.
 </li>
 <li>
 Organize, execute, and assist with team activities (staff meeting agendas, all-hands meetings, off-sites, and team social events).
 </li>
 <li>
 Assist the EA team to foster a cohesive and effective work environment.
 </li>
 <li>
 Work closely with the leadership team and other Executive Assistants across the organization to provide support to the organization.
 
 
 </li>
 </ul>
 A day in the life
 
 
 <ul>
 <li>
 Coordinate calendars across multiple teams to proactively plan for key business cycles.
 </li>
 <li>
 Effectively and proactively supporting Directors and other team members.
 </li>
 <li>
 Ensure timely action by organizing, prioritizing, and addressing sensitive, confidential information and requests.
 </li>
 <li>
 Submit expense reports.
 </li>
 <li>
 Coordinate global schedules, travel arrangements, and seamless meeting logistics in a cost-effective manner.
 </li>
 <li>
 Coordinate closely with Recruiting teams, Facilities team, HR team, and other Executive Assistants.
 </li>
 <li>
 Drive completion of key deliverables and out standing items.
 </li>
 <li>
 Assist with event coordination (including team meetings and morale events).
 </li>
 <li>
 Creatively solve complex problems while building sustainable, scalable mechanisms.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 3+ years of senior level leadership support, or 1+ years of Amazon experience
 </li>
 <li>
 High school or equivalent diploma
 </li>
 <li>
 Experience with Microsoft Office products and applications
 </li>
 <li>
 Experience with executive level calendar management
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience in a fast-paced, high-tech company
 </li>
 <li>
 Experience managing multiple calendars
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - Amazon Retail India Private Limited
 
 
 Job ID: A3062004
</div>

Executive Assistant, Supply Chain Execution

Explore 467+ Ind senior data scientist in Mangaluru this November. Find roles across top companies and apply now to boost your career.