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Associate - Data and AnalyticsIf you are a strategic thinker with a passion for driving solutions in quantitative analytics, you have found the right team. As a Quantitative Analytics Professional within our Consumer &amp; Community Banking Finance team, you will be instrumental in defining, refining, and achieving the firm’s strategic goals. Your role will involve leading the analytical initiatives during the Finance Decision Optimization product development for consumer lending products within the Product and Transformation team. The Finance Decision Optimization team provides support to various lines of business, including home lending, retail banking, auto finance, wealth management, and business banking. This position requires a visionary approach, the ability to present to executive stakeholders, and the responsibility to ensure engineering teams meet overarching delivery objectives. While this is not a model development role, it involves close collaboration with modeling, data, business, and technology teams to deliver analytical solutions, conduct deep dives, assess whether models under development meet business requirements, and perform back-testing.Job Responsibilities<ul><li>Define modeling requirements for optimizing financial decisions across lending and deposit products, including mortgage, auto, card, business banking, and wealth management.</li><li>Collaborate closely with the business modeling team to develop robust financial decision-making models.</li><li>Analyze model inputs and outputs to support model development and deployment (User Acceptance Testing, tie-outs etc.).</li><li>Partner with business teams to integrate model outputs into business strategies.</li><li>Conduct comprehensive analyses to assist management in understanding the business impact of financial strategies before and after the incorporation of these models.</li><li>Develop and maintain dashboards and relevant reporting to monitor model performance.</li><li>Collaborate effectively with finance, modeling, data, technology, and business teams.</li><li>Present results and recommendations clearly and concisely.</li></ul> Required Qualifications, Capabilities, and Skills<ul><li>A postgraduate degree in a quantitative discipline such as Mathematics, Finance, Statistics, Economics, or equivalent work/training is required.</li><li>Over 6 years of technical delivery experience with a proven track record of increasing responsibility.</li><li>Banking experience in one or more U.S. consumer credit portfolios (e.g., U.S. Mortgage, Home Equity, Credit Card, Automotive, Lease, Business Banking).</li><li>Knowledge of finance processes, particularly pricing and macroeconomics.</li><li>Strong technical and statistical skills, with experience in the development or use of ML models.</li><li>Ability to synthesize data and communicate effectively to leadership both verbally and in writing.</li><li>Meticulous attention to detail, analytical and inquisitive, with high standards for quality and accuracy.</li><li>Proficiency in Microsoft Office, especially Excel and PowerPoint.</li><li>Experience with data extraction and analysis tools such as Python/Structured Query Language.</li></ul> Preferred Qualifications, Capabilities, and Skills<ul><li>Preference for advances degrees like Masters.</li><li>Familiarity with public cloud platforms, particularly AWS, is an added advantage.</li><li>Proven ability to multitask effectively, set expectations, and escalate issues when necessary.</li><li>Project management skills, including a well-organized and structured approach, with the ability to meet tight timelines on complex deliverables and manage projects across cross-functional groups.</li><li>Strong communication and interpersonal skills, with the ability to interact with individuals across departments and functions, including senior-level personnel.</li><li>Ability to work effectively under pressure and in a rapidly changing environment to meet deadlines.</li><li>Demonstrated leadership and a desire to mentor and develop credit analysts within the team.</li></ul>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our <a href="https://careers.jpmorgan.com/us/en/how-we-hire/faqs" rel="nofollow" target="_blank">FAQs</a> for more information about requesting an accommodation.<h4>Experience Level</h4>Mid Level

JP Morgan Services India Pvt Ltd

Data Analyst

Risk Consulting - Digital Risk - Senior- Python Development (DA)At EY, you’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’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.     Job Title: Data AnalystExperience: 4-6 Years About the Company:EY is a leading global professional services firm offering a broad range of services in assurance, tax, transaction, and advisory services. We're looking to hire a skilled Data Analyst who has proficiency in SQL, Python, Alteryx and MS Power Platform (Power Apps, Power Automate), and any one visualization tool like Power BI, Tableau, Qlik Sense. Job Responsibilities:As a Data Technical Business Analyst, you will liaise with clients to:<ul><li>You will be involved in all aspects of the project life cycle, including strategy, road-mapping, architecture, implementation and development</li><li>You will work with business and technical stakeholders to gather and analyse business requirements to convert them into the technical requirements, specifications, mapping documents</li><li>You will collaborate with technical teams, making sure the newly implemented solutions/technology are meeting business requirements</li><li>Outputs include workshop sessions and documentation including mapping documents</li><li>Develop solution proposals that provide details of project scope, approach, deliverables and project timeline</li></ul> Required Skills:<ul><li>Proven working experience with Python, SQL, Power BI, MS Power Platform.</li><li>Hands-on experience with data structures including complex data models and data governance.</li><li>Strong proficiency in Python and demonstrated experience with ETL processes.</li><li>Proficient knowledge of Microsoft Power Platform (Power Apps, and Power Automate) and Alteryx.</li><li>Understanding of SQL and relational database concepts.</li><li>Familiarity with cloud technologies, particularly Microsoft Azure.</li><li>Excellent problem-solving skills and ability to debug complex systems.</li></ul> Education:<ul><li>BS/MS degree in Computer Science, Engineering, or a related subject is required.</li><li>EY is committed to providing equal opportunities to all candidates. We welcome and encourage applications from candidates with diverse experiences and backgrounds.</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.  <h4>Experience Level</h4>Senior Level

Ernst & Young LLP ( EY India )

Data Analyst<h4>Job Details:</h4><h4>Job Description: </h4>Provide expertise on database management/design to drive integration of business data, functions, and systems. 
Establish standards, guidelines, procedures, and other infrastructure necessary to support the objective of
integration of data. 
Provide expertise on database management/design to drive integration of business data, 
functions, and systems.
Partnering with IT and Data Ingestion team to transform business requirements to data requirements 
needed for automation.
Validating feasibility of ideas, understanding customer expectations from the product, conducting design due 
diligence, and evaluating business value and risks.
Leading E2E business product test, business process testing, validation and sign off for simple to complex 
implementations.
Plans and schedules daily tasks, uses judgement on a variety of problems requiring deviation from standard practices. 
Inadequacies and erroneous decisions would cause moderate inconvenience and expense.<h4>Qualifications:</h4>Qualifications:
Candidates should possess a Bachelor of Computer Information Systems, Engineering, or equivalent with a minimum of 4 years of experience
Worked on Learning Management System experience a plus
Experience in BI Development and Deployment of SSAS models, SSIS packages from Excel, SQL
Technical skills include good hands on experience in, SSRS Reporting Services, SSAS (Analysis Services)
Working with eXponential Learning Team (XLT) to gather business requirements for metrics and indicators.
Being a result driven individual with a passion for data and analytics who can work collaboratively to solve business problems that drive operational efficiencies
Convert client requirements into technical terms for the development team, and advise clients on resource requirements, scope, budgets, and timing
Extensive Knowledge on analytical tools like Power BI or Tableau
Ability to use BI/ Analytics tools, write queries
Knowledge of SQL, Python or R
Take initiatives and ownership with ability to work independently as well as collaboratively, a strong team player.
Understanding of Agile principles          <h4>Job Type:</h4>Experienced Hire<h4>Shift:</h4>Shift 1 (India)<h4>Primary Location: </h4>India, Bangalore<h4>Additional Locations:</h4><h4>Business group:</h4>Intel's Human Resources group is responsible for hiring, developing and retaining the best and brightest employees while continuing to strengthen the company's culture and values. Intel Human Resources provides first-rate, cost-effective services and support to employees worldwide and is dedicated to advancing Intel's business goals.<h4>Posting Statement:</h4>All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.<h4>Position of Trust</h4>N/AWork Model for this RoleThis role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

Intel Technology India Pvt Ltd

Data & Business IntelligenceJob Title:Data &amp; Business IntelligenceJob DescriptionResponsibilities: ●	Lead data-driven recommendations and insights to support strategic projects across Central Operations ●	Lead cross-functional teams in specific initiatives; recognizes dependencies between teams; drive and clarify ownership of those dependencies 	 ●	Understand the business, track operational performance, provide insights and recommendations ●	Support company-wide programs through ownership of analytical projects ●	Establish strong working relationships with peers in other Global Operations teams and cross-functional partners (sales leadership, finance, sales operations, systems) to achieve objectives ●	Build dashboards and automated reports, working proficiently with data visualization and querying/analysis tools (e.g., Tableau, SQL, Python) ●	Own data tables, and work with stakeholders to ensure available data is accurate, consistent, and timely ●	Own technical implementations and documentation associated with datasets and strive for 100% accuracy ●	Comfortably identify and frame specific business problems; creates hypotheses, builds key analyses, and develops recommendations; gains alignment with stakeholders for implementation. ●	Independently manage expectations from stakeholders; manages deadlines/timeframes for larger initiatives and projects with minimal guidance on prioritization or dependencies Preferred Qualifications: ●	BS degree in a quantitative discipline (statistics, operations research, computer science, information engineering, engineering, applied mathematics, economics, business analytics, etc) ●	2+ years of experience working with data in a business setting, including data management, process execution, operations, reporting, or analytics. ●	4+ years of experience in Tableau/PowerBI and SQL ●	2+ years of experience in Python ●	Exceptional analytical and technical skills, with clear attention to detail ●	Ability to leverage numbers and insights to influence &amp; drive sound decision makingData &amp; Business IntelligenceJob Description Responsibilities:<ul><li>Lead data-driven recommendations and insights to support strategic projects across Central Operations</li><li>Lead cross-functional teams in specific initiatives; recognizes dependencies between teams; drive and clarify ownership of those dependencies      </li><li>Understand the business, track operational performance, provide insights and recommendations</li><li>Support company-wide programs through ownership of analytical projects</li><li>Establish strong working relationships with peers in other Global Operations teams and cross-functional partners (sales leadership, finance, sales operations, systems) to achieve objectives</li><li>Build dashboards and automated reports, working proficiently with data visualization and querying/analysis tools (e.g., Tableau, SQL, Python)</li><li>Own data tables, and work with stakeholders to ensure available data is accurate, consistent, and timely</li><li>Own technical implementations and documentation associated with datasets and strive for 100% accuracy</li><li>Comfortably identify and frame specific business problems; creates hypotheses, builds key analyses, and develops recommendations; gains alignment with stakeholders for implementation.</li><li>Independently manage expectations from stakeholders; manages deadlines/timeframes for larger initiatives and projects with minimal guidance on prioritization or dependencies</li></ul>Preferred Qualifications: <ul><li>BS degree in a quantitative discipline (statistics, operations research, computer science, information engineering, engineering, applied mathematics, economics, business analytics, etc)</li><li>2+ years of experience working with data in a business setting, including data management, process execution, operations, reporting, or analytics.</li><li>4+ years of experience in Tableau/PowerBI and SQL</li><li>2+ years of experience in Python</li><li>Exceptional analytical and technical skills, with clear attention to detail</li><li>Ability to leverage numbers and insights to influence &amp; drive sound decision making</li></ul>Location:IND Bangalore - Manyata Blk D4, 2nd FlrLanguage Requirements:Time Type:Full timeIf you are a California resident, by submitting your information, you acknowledge that you have read and have access to the <a href="https://www.concentrix.com/resource/job-applicant-privacy-notice-for-california-residents/" rel="noopener noreferrer" target="_blank">Job Applicant Privacy Notice for California Residents</a><h4>Experience Level</h4>Mid Level

Concentrix

Business Data Analyst

Decision Science Analyst Job Description:As an Analyst – Decision Science at Jumbotail you will –<ul><li>Collaborate with the business and the product teams and aid them to take data driven decisions&nbsp;</li><li>Generate pricing insights by performing pricing analysis and build pricing models, and devising merchandising strategies for food and grocery products sold on the platform.</li><li>Lead investigations into multiple streams of product data, analyze behavioral and click through data, and build user behavior models, and data visualization on user funnels; Work, analyze, evaluate, and generate insights on the how users are interacting with our products and factor that into our pricing/merchandising models.</li><li>Provide insights to the product team to develop new methods for optimizing product performance, selection strategies, and inventory guidance to drive GMV/CX goals.</li><li>Research and develop new frameworks, models and processes for computing product affinity scores, and demand supply curves, based on behavioral and transactional data.</li><li>Design experiments to answer targeted questions and conduct exploratory data analysis in high dimensions.</li><li>Build business cases and models to quantify new opportunities, using data and solid business judgment</li><li>Build credit model for our customers and help us understand whom should we lend.</li></ul> Requirements:We are looking for leaders at all levels who have the hunger to work with some of the smartest people, who are driven by a sense of purpose, and who wish to leave a legacy in their respective domains and among their professional fraternity. We are not just building apps or tech platforms, but rather building distributed ecosystems connected through intelligent technology that can change the face of the food and grocery consumption pipelines in India, forever, for the better.&nbsp;An ideal candidate for this role is someone who has-<ul><li>A bachelor’s degree in Statistics or other quantitative disciplines such as Engineering, Applied Mathematics, etc from IIT/BITS/IISc.</li><li>1-5 years&nbsp;professional experience in an analytical role</li><li>Experience in working with large data sets, thorough&nbsp;knowledge of SQL, and top&nbsp;data mining softwares + data viz tools like Tableau software</li><li>Experience in&nbsp;building time series modeling &amp; user behavior modeling</li><li>Ability to&nbsp;draw conclusions from data and recommend actions. Willingness to learn new techniques. Excellent&nbsp;communication skills.</li><li>High energy and a desire to work in a results-oriented, fast growth cross functional environment.</li><li>A&nbsp;team player attitude&nbsp;and passion to deliver results.</li></ul>

Jumbotail Technollogies Pvt Ltd

Analyst

Machine Learning Engineer We're hiring Machine Learning Engineer Key Skills:• Programming &amp; Scripting (Python, etc.)• Data &amp; Feature Engineering• Monitoring &amp; Logging (Prometheus, Grafana)• Experiment Tracking &amp; Workflow Orchestration (MLflow, Kubeflow, Weights &amp; Biases)• Hands-on with ML Frameworks (TensorFlow, PyTorch, Scikit-learn) Share updated CVs with subject line: Machine Learning Engineer

L&T Technology Services Ltd

Data Annotation Engineer

Data Analyst – Digital WorkplaceJob Description:Airbus is an international pioneer in the aerospace industry. We are a leader in designing, manufacturing and delivering aerospace products, services and solutions to customers on a global scale. We aim for a better-connected, safer and more prosperous world.A commercial aircraft manufacturer, with Space and Defense as well as Helicopters Divisions, Airbus is the largest aeronautics and space company in Europe and a worldwide leader. Airbus has built on its strong European heritage to become truly international – with roughly 180 locations and 12,000 direct suppliers globally. The company has aircraft and helicopter final assembly lines across Asia, Europe and the Americas, and has achieved a more than sixfold order book increase since 2000.Description:Digital Workplace (DW) was established to be an enabler of Digital Transformation across Airbus. Its primary focus is to: provide employees with simple, intuitive and easy to use workplace tools and services; enable employees to create and collaborate from anywhere at any time; enable continuous optimisation of work experience and productivity underpinned by fit-for-purpose security.  Digital Workplace consists of the following core elements: Operational Performance, Devices and Services, Employee Collaboration, Industrial and Specialist Devices, Workplace Support, User Adoption.We are currently looking for a new colleague mastering data analysis and tooling to join the Operational Performance PSL (DWW). His/Her expertise will support us to bring data to life. Thus we will make the right decisions in the product design and at project steering and also we will have all the information required to transform and to improve user experience.Position Summary:The Data Analyst will play a key role in designing, developing, and deploying scalable data solutions within the Skywise / Palantir Foundry platform to support Airbus divisions and functions across Europe. This position combines strong analytical, technical, and communication skills to drive business value through data insights and automation.The specialist will work closely with business and technical teams to identify opportunities for improvement through data value analysis, develop end-to-end analytics solutions, and promote data-driven decision-making across the organization.Qualification &amp; Experience:We seek out curious minds. We value attention to detail, and we care deeply about outcomes. We are looking above all for passionate people, eager to learn, willing to share, establishing innovative ways of working and influencing culture change.  Are you ready to share this exciting challenge with us? <ul><li>Bachelor/ Master Degree in Mathematics, Economics, Computer Science, Information Management, Statistics or relevant field with 3-6 years of data analysis, data management and software development experience</li><li>Hands-on experience with Skywise / Palantir Foundry for building and deploying end-to-end data solutions.</li><li>Proven track record in developing and maintaining large-scale data applications on Foundry.</li><li>Proficiency in Ontology Manager, Code Authoring, Contour, Workshop, and Data Ingestion modules.</li></ul><ul><li>Advanced proficiency in Python, SQL, React, JavaScript, and CSS. and strong understanding of REST APIs and Big Data architectures.</li><li>Experience in  ETL scripting for data transformation.</li></ul><ul><li>Advanced analytical expertise in data modeling, database management, and SQL (expert level).</li><li>Experience with BI tools, Google Data Studio, and BigQuery.</li><li>Skilled in designing and maintaining KPI metrics, dashboards, and Performance Analytics (PA) reports.</li><li>Proficient in data acquisition, automation, and maintaining data systems from multiple sources.</li><li>Ability to identify valuable data sources and optimize data collection processes and Strong analytical mindset with exceptional attention to detail and accuracy.</li><li>Adept at querying, report writing, and presenting findings effectively.</li><li>Excellent communication, interpersonal, and facilitation skills.</li><li>Experience with ITSM and ServiceNow.</li><li>Ability to help transform organizational reporting processes through automation and optimization.</li><li>Skilled in administration of reporting environments, including user management and job scheduling.</li></ul>Key Requirements and Responsibilities:<ul><li>Design, build, and maintain robust data analytics and application solutions within the Skywise (Palantir Foundry) framework.</li><li>Develop, test, document, and deploy data pipelines, analytical models, and visualization tools to support strategic and operational initiatives.</li><li>Work with Product Owners and core Airbus business functions to capture requirements, understand business processes, and deliver impactful data-driven solutions.</li><li>Manage the full application delivery lifecycle — from design and implementation to testing, deployment, and support.</li><li>Build and maintain pipelines to enable automated deployments across Development, QA, and Production environments.</li><li>Troubleshoot and resolve application issues, manage incidents and requests, and provide ongoing support for developed tools.</li><li>Encourage and enable self-service analytics by empowering business teams and promoting data literacy.</li><li>Coach and develop data analytics awareness among internal customers and stakeholders.</li><li>Define, implement, and maintain KPI metric reports, dashboards, and performance analytics (PA) reporting.</li><li>Help automate reporting processes and transform the organization’s approach to data management.</li><li>Acquire data from various sources, manage and maintain data systems, and automate data collection processes.</li><li>Ensure compliance with best practices in data quality, security, and governance.</li></ul> GOOD TO HAVE<ul><li>Develops and manages information to support corporate decision making.</li></ul><ul><li>Coach internal business users with a goal of being largely self-sufficient for their analytics needs</li><li>Research and document new and improved features on existing tools </li><li>Become familiar with new analytics technologies in Airbus and in the marketplace</li><li>Stay current on latest analytics trends and emerging technologies </li><li>Recommend new ways of using tools to further business needs</li></ul><ul><li>User experience oriented</li></ul><ul><li>Fluency in English is mandatory, French or German knowledge will be an added advantage </li></ul><ul><li>Working experience in Agile Scrum, SAFe and/or Kanban projects</li></ul> Success MetricsSuccess will be measured in a variety of areas, including but not limited to<ul><li>Consistently ensure the on-time delivery and quality (first-time-right) of the projects</li><li>Bring innovative cost effective solutions</li><li>Achieve the customer satisfaction</li><li>Ability to handle a subject from demand management, to development and support</li><li>Ability to understand the business potential of applications and provide insight to clients</li></ul>The role will also have the following key outputs:<ul><li>Strong link with all the Airbus Digital Workplace services</li><li>Proactive in providing guidance &amp; inputs for the Airbus Digital Workplace strategic roadmap</li></ul>This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.Company:Airbus India Private LimitedEmployment Type:Permanent-------Experience Level:ProfessionalJob Family:Digital &lt;JF-IM-DI&gt;<div><div><div><div>By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus. Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to <a href='\"mailto:emsom@airbus.com\"' target='\"_blank\"'>emsom@airbus.com</a>.</div></div></div></div>At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.

Airbus Group India Pvt Ltd

Sr. Data Scientist_MPIN<div itemprop="description"><section class="job-section" id="st-companyDescription"><div><h4 class="title">Company Description</h4></div><div class="wysiwyg">The Bosch Group is a leading global supplier of technology and services, in the areas of automotive technology, industrial technology, consumer goods, energy and building technology. As the largest auto component supplier in the country, setting a benchmark in the sectors it operates in, the company has to its credit several laurels.From a Bosch India perspective, we see a need to transform with new mind-sets - operating together with businesses, governments, and consumers- to imagine a future landscape focusing on efficient mobility concepts, clean energy needs, decentralized governance, convergence on connectivity etc. In an era of dynamic technological advancements, evolving consumer preferences, and shifting regulations, Bosch envisions a connected ecosystem within the shared economy that will shape the future of mobility.With a vision of accident-free and emission-free mobility, Bosch Mobility Platform and Services (MPS) is building an ecosystem of digital platforms and neutral e-commerce marketplaces. Our goal is to enable businesses to collaborate, innovate and co-create to solve complex problems of mobility in the realms of goods movement, people transportation, and parked vehicle ecosystem. </div></section><section class="job-section" id="st-jobDescription"><div><h4 class="title">Job Description</h4></div><div class="wysiwyg" itemprop="responsibilities">Role and Responsibilities <ul><li>Working with stake holders from different business units to identify the business opportunities for leveraging the data to drive business solutions.</li><li>Must have good knowledge of advanced statistical methods (automotive or manufacturing domain will be an added advantage). Mine and analyze data, applying statistical methods as necessary, discover the hidden patterns and viewing experiences to identify critical data insights.</li><li>Develop customized ML/AI algorithms for the customers so that they are suited 100% to the requirements</li><li>Develop reusable AI/GenAI/ML/Statistical models that can be scaled to multiple businesses with minimum customization.</li><li>Translate analytic insights into concrete, actionable recommendations for business or product improvement.</li><li>Partner closely with product and engineering leaders throughout the lifecycle of project. Ensure that necessary data is captured; analytic needs are well-defined up front and coordinate the analytic needs.</li><li>Independently handle the products/projects and provide technical directions to the other team members.</li><li>Develop dashboards using software like PowerBI to share algorithm results to end users</li><li>Strong interpersonal and communication skills: ability to tell a clear, concise, actionable story with data, to folks across various levels of the company.</li><li>Technical directions to junior in team, like to sort the respective task for appropriate team members, mentoring them technically etc.</li></ul></div></section><section class="job-section" id="st-qualifications"><div><h4 class="title">Qualifications</h4></div><div class="wysiwyg" itemprop="qualifications">Masters from a reputed Indian institutes in the area of Statistics, Machine Learning, Computer Science, etc.</div></section><section class="job-section" id="st-additionalInformation"><div><h4 class="title">Additional Information</h4></div><div class="wysiwyg" itemprop="incentives">Technical SkillsMust Have<ul><li>Strong expertise in Python and key data science libraries (e.g., pandas, NumPy, scikit-learn, PyTorch/TensorFlow/Keras). </li><li>Proven experience in classical ML algorithms — regression, classification, clustering, decision trees, random forests, SVMs, neural networks, etc.</li><li>Solid grounding in statistical analysis and hypothesis testing (DOE, forecasting, segmentation, uncertainty analysis, etc.).</li><li>Hands-on experience with data preprocessing, feature engineering, imputation, cleansing, transformation, and data exploration techniques (mean-variance, k-means, nearest neighbor, outlier detection, etc.).</li><li>Strong understanding of machine learning pipeline design, from data ingestion to model evaluation and deployment.</li><li>Experience with deep learning frameworks for solving applied problems (e.g., CNNs, RNNs, Transformers).</li><li>Experience working with NLP.</li><li>Exposure to AI/ML deployment on cloud platforms such as Azure or AWS.</li><li>Working knowledge of Docker, CI/CD pipelines, and API development (Flask/Django).</li><li>Experience developing dashboards or reports in Power BI or similar tools.</li><li>Experience mentoring and providing technical direction to team members.</li></ul>Nice to Have<ul><li>Experience with LLM-based and GenAI solutions, including:<ul><li>RAG, Agentic RAG, Graph RAG, Chain/Tree of Thoughts, LangChain, content extraction/summarization, and chat applications.</li></ul></li><li>Applied experience in Computer Vision (object detection, defect detection, OCR, etc.).</li><li>Domain expertise in one or more of:<ul><li>Supply Chain Analytics – inventory optimization, demand forecasting.</li><li>Sales Analytics – recommendation systems, customer segmentation, price elasticity.</li><li>Manufacturing Analytics – root cause analysis, scrap reduction, cycle time reduction, warranty analytics.</li></ul></li></ul>Soft Skills<ul><li>Excellent communication and storytelling skills — able to translate data insights into clear, business-focused narratives.</li><li>Strong stakeholder management and collaboration abilities across diverse teams.</li><li>Ability to work independently on complex projects while guiding and developing others.</li></ul> </div></section></div>

Robert Bosch Engineering and Business Solutions Pvt Ltd

Data Scientist

Data Modeling Expert (Junior–Mid Level) - BI Datawarehouse<div itemprop="description"><section class="job-section" id="st-companyDescription"><div><h4 class="title">Company Description</h4></div><div class="wysiwyg">Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 28,200+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.</div></section><section class="job-section" id="st-jobDescription"><div><h4 class="title">Job Description</h4></div><div class="wysiwyg" itemprop="responsibilities">Overview:We are seeking a highly motivated Data Modeling Expert to design and maintain conceptual and logical data models forming the foundation of Bosch’s digital and AI initiatives. You will translate complex business requirements into structured, reusable, and scalable data models that drive analytics, reporting, and operational efficiency.This role bridges the business and technical teams — ensuring that data structures reflect business semantics, support governance, and enable long-term interoperability.Key Responsibilities1. Data Modeling &amp; Design<ul><li>Design and maintain conceptual and logical data models that accurately capture business entities, relationships, and attributes.</li><li>Translate business processes and KPIs into structured data models supporting analytics and AI.</li><li>Collaborate with data engineers to support physical model realization.</li><li>Ensure alignment with enterprise data modeling standards, naming conventions, and metadata rules.</li><li>Maintain data dictionaries, ER diagrams, and semantic definitions for each domain.</li></ul>2. Business Alignment<ul><li>Engage with business stakeholders to capture and refine data requirements.</li><li>Serve as a bridge between business experts and data engineers to ensure consistent understanding of data meaning and use.</li><li>Document lineage, usage, and semantic definitions to promote data transparency.</li></ul>3. Quality &amp; Governance<ul><li>Ensure model consistency, data integrity, and compliance with Bosch data governance policies.</li><li>Support the adoption of data modeling best practices across domains and teams.</li><li>Participate in peer reviews and contribute to the improvement of data standards.</li></ul>Required Qualifications<ul><li>5–8 years of experience in data modeling, data analysis, or data product design.</li><li>Strong hands-on experience in conceptual and logical data modeling.</li><li>Proficiency in modeling tools such as Sparx EA, PowerDesigner, or ER/Studio.</li><li>Working knowledge of SQL and relational database concepts.</li><li>Familiarity with dimensional modeling and data normalization principles.</li></ul>Preferred Skills<ul><li>Exposure to data governance tools (Informatica EDC/IDMC, Collibra).</li><li>Awareness of cloud-based data platforms (Snowflake, Azure Synapse, Databricks).</li><li>Basic understanding of data lineage and metadata management.</li><li>Domain familiarity with manufacturing, engineering, or logistics data.</li></ul>Key Competencies<ul><li>Analytical and structured thinking.</li><li>Strong communication and documentation skills.</li><li>Detail-oriented with a focus on model reusability and clarity.</li><li>Collaborative mindset within agile teams.</li></ul></div></section><section class="job-section" id="st-qualifications"><div><h4 class="title">Qualifications</h4></div><div class="wysiwyg" itemprop="qualifications">Bachelor of Engineering / Computer science</div></section></div>

Data Analyst Intern

Senior Data Scientist<div>Job Summary:</div><div>The role requires building models using advanced statistical, AI and machine learning techniques for enabling - a unique personalized experience that helps end consumers to make quick decisions on content consumption. Forecasting / Predicting the content preferences based on the rich diverse content that varies from live sports to VOD content on the platform. Better performing recommendation engines that can optimize on not just simple outcome metrics like but complex state machines and funnel conversions like user LTV.</div><div> </div><div>About the team:</div><div>The Central Analytics team is embedded within various business &amp; product teams in a matrix structure to be a thought partner and provide comprehensive data insights to drive strategic decisions. This team is the strategic enabler for JioHotstar’s content and marketing functions. In a world where consumers have endless entertainment choices, we help decode how they spend their time and why. At the core, we analyze consumer behavior, content preferences, and evolving entertainment needs. We design and leverage experiments, apply GenAI for innovative problem-solving, and build analytical frameworks that guide key decisions. Our goal: to keep teams sharp, informed, and focused on the KPIs and drivers that truly matter. </div><h4>What will you do?</h4><li>Analyze large datasets from various sources to identify trends, patterns, and actionable insights that help define and execute data-driven strategies for the Ads platform</li><li>Design, develop, and deploy statistical models, machine learning algorithms, generative AI models, and predictive analytics to optimize ad targeting, improve campaign performance, and maximize revenue</li><li>Integrate machine learning models into production systems to deliver real-time insights and automated decision-making capabilities</li><li>Collaborate closely with cross-functional teams, including Data Engineering, Product Management, Ad Tech, and Business teams, to understand business challenges and deploy end-to-end solutions</li><li>Continuously evaluate and improve data quality and model performance to ensure consistent, reliable, and accurate insights</li><li>Develop and execute A/B testing frameworks and experimental designs to validate algorithmic improvements and quantify business impact</li><li>Stay up-to-date with the latest advancements in data science, machine learning, and AI, and proactively incorporate cutting-edge techniques into models and the Ads platform</li><li>Present findings, methodologies, and business impact of data science initiatives to technical and non-technical stakeholders</li><h4>Who should apply for this role?</h4><li>Proven experience in data science and machine learning </li><li>Strong proficiency in Python, SQL, and relevant data science libraries (Pandas, Scikit-learn, TensorFlow, PyTorch, etc.)</li><li>Expertise in building and deploying machine learning models into production systems</li><li>Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Google Cloud)Deep understanding of statistical analysis, machine learning, data mining, and predictive modeling techniques</li><li>Should be comfortable leveraging LLMs and internals </li><li>Strong problem-solving skills with the ability to translate business problems into data science solutions</li><li>Excellent verbal and written communication skills, with the ability to present complex information to non-technical stakeholders</li> <div>About Us</div><div>Perched firmly at the nucleus of spellbinding content and innovative technology, JioStar is a leading global media &amp; entertainment company that is reimagining the way audiences consume entertainment and sports. Its television network and streaming service together reach more than 750 million viewers every week, igniting the dreams and aspirations of hundreds of million people across geographies.</div><div> </div><div> JioStar is an equal opportunity employer. The company values diversity and its mission is to create a workplace where everyone can bring their authentic selves to work. The company ensures that the work environment is free from any discrimination against persons with disabilities, gender, gender identity and any other characteristics or status that is legally protected.</div>

Viacom18 Media Pvt Ltd

Azure Big Data Engineer- Role: Azure Big Data Engineer
- Location: Bengaluru
- This position involves working with Azure technologies to manage and analyze large datasets.
- Candidates should have a strong understanding of big data frameworks and cloud computing.
- Responsibilities may include designing data pipelines, optimizing data storage, and ensuring data quality.
- Ideal candidates will have experience in data engineering and familiarity with Azure services.
- Collaboration with cross-functional teams is essential to meet project goals.

Cloud Automation Engineer

Senior Applied & Data ScientistAbout the jobLocation: Bangalore Career Level: IC3Oracle Cloud Infrastructure (OCI) is at the forefront of cloud innovation, blending the agility of a startup with the reliability of a leading enterprise software provider. Our AI Science team pioneers state-of-the-art machine learning solutions that empower customers and solve complex real-world problems at scale. We’re looking for an experienced Sr. Applied Science (IC3) with deep hand-on experience in Generative AI and Computer Vision area to develop highly complex and accurate data science model. In this role, you will develop of secure, scalable, and innovative AI solutions leveraging cutting-edge techniques in computer vision, Large multimodal models and other GenAI technologies.As a Senior Applied Scientist, you will develop and deploy state-of-the-art computer vision solutions leveraging generative AI technologies such as Large multimodal models and computer vision technologies such as image classification, object detection, vision grounding etc. This individual contributor(IC) role will build best-in-class computer vision solutions at scale. is perfect for a hands-on data science architecture design and is eager to drive innovation and excellence in AI and computer vision area. You will partner with the Product and Engineering managers to influence strategic decisions, drive experimentation and communicate results to higher managements. You will build best-in-class LLM/LMM/computer vision solutions for the Oracle business domain at scale. You will also partner with Product Management, Data Labelling and Engineering teams to get to develop build best-in-class computer vision solutions at scale. The ideal candidate has extensive experience with computer vision techniques, deep learning techniques, model serving, and a demonstrated ability to think strategicallyabout business, product, and technical challenges to contribute to the development of current and future vision services. Key  Responsibilities<ul><li>Development of advanced AI models and algorithms, focusing on large language model, large multimodal, computer vision and foundation models.</li><li>Design, implement and test the critical module/features of AI service that are correct, highly available, scalable, and cost-effective.</li><li>Champion best practices for testing, benchmarking, and model validation to ensure reliability and performance.</li><li>Analysis of ML models, and optimizing models for accuracy and latency.</li><li>Large-scale training &amp; production deployment with ML models.</li><li>Own data analysis, feature engineering, technique selection &amp; implementation, debugging, and maintenance of production model.</li><li>Experience implementing machine learning algorithms or research papers from scratch to production.</li><li>Work with large, complex data sets.</li><li>Proactively identify the technical issues/bugs and provide innovative solutions.</li><li>File patent and publication as by product of solving complex business problems</li><li>Partner closely with product managers, engineering leads, and annotation/data teams to define requirements, data quality assurance and acceptance of data/annotation as required.</li><li>Leverage Oracle Cloud technology.</li></ul>Preferred QualificationsPh.D. (preferred) or Master’s in Computer Science, Machine Learning, Computer Vision, or related field.<ul><li>PhD in computer vision or 2+ years of Experience designing, implementing and deploying computer vision models in production environments</li></ul>Expertise in GenAI, LLMs, LMMs, object detection, facial recognition, and image classification.Strong foundation in deep learning architectures such as CNNs, transformers, diffusion models, and multimodal models.<ul><li>Expert in at least one high level language such as Python/Java/C++</li><li>Practical experience in ML algorithm design, model training and production deployment using microservices architecture</li><li>Practical experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure or similar technology.</li><li>Experience or willingness to learn and work in Agile and iterative development processes.</li><li>Strong drive to learn and master new technologies and techniques.</li><li>Deep understanding of data structures, algorithms, and excellent problem-solving skills.</li><li>You enjoy a fast-paced work environment.</li></ul>

Oracle Financial Services Software Ltd

Senior - Data Science<h4>Description</h4>About KPMG in IndiaKPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.Data Science 
 <table><tbody><tr><td>Equal employment opportunity information  KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you. </td></tr></tbody></table><h4>Qualifications</h4>B.E

Kpmg India Services Llp

Applied Scientist 4Invent, implement and deploy state-of-the-art machine learning and/or specific domain industry algorithms and systems. Build prototypes and explore conceptually new solutions. Work collaboratively with science, engineering, and product teams  to identify customer needs in order to create and implement solutions, promote innovation and drive model implementations.  Applies data science capabilities and research findings to create and implement solutions to scale. Responsible for developing new intelligence around core products and services through applied research on behalf of our customers.  Develops models, prototypes, and experiments that pave the way for innovative products and services.  Build cloud services that work out of the box for enterprises, e.g. decision support, anomaly detection, forecasting and recommendations), natural language processing (NLP),  Natural Language Understanding (NLU),Time Series, Automatic Speech Recognition (ASR),  Machine Learning (ML), and Computer Vision (CV). Design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Conversant on ethical problems in consideration of sciences.

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