Jobs

Data Science & Analytics

Anywhere in India

Agra

Ahmedabad

Ahmednagar

Ajmer

Aligarh

Amritsar

Asansol

Aurangabad

Bareilly

Belagavi

Bengaluru

Bhavnagar

Bhilai

Bhopal

Bhubaneswar

Bikaner

Chandigarh

Chennai

Coimbatore

Cuttack

Dehradun

Delhi-NCR

Dhanbad

Gorakhpur

Guntur

Guwahati

Gwalior

Hubli

Hyderabad

Indore

Jabalpur

Jaipur

Jalandhar

Jamnagar

Jamshedpur

Jodhpur

Kannur

Kanpur

Kochi

Kolhapur

Kolkata

Kota

Lucknow

Ludhiana

Madurai

Malappuram

Mangalore

Meerut

Mumbai

Mysuru

Nagpur

Nashik

Panipat

Patna

Prayagraj

Puducherry

Pune

Raipur

Rajkot

Ranchi

Saharanpur

Salem

Solapur

Surat

Thiruvananthapuram

Trichy

Udaipur

Ujjain

Vadodara

Varanasi

Vijayawada

Visakhapatnam

Warangal

Admin / Back Office / Computer Operator

Advertising / Communication

Aviation & Aerospace

Banking / Insurance / Financial Services

Beauty, Fitness & Personal Care

Construction & Site Engineering

Consulting

Content, Editorial & Journalism

CSR & Social Service

Customer Support

Delivery / Driver / Logistics

Domestic Worker

Energy & Mining

Engineering - Hardware & Networks

Environment Health & Safety

Facility Management

Finance & Accounting

Healthcare / Doctor / Hospital Staff

Human Resources

IT & Information Security

Legal & Regulatory

Maintenance Services

Marketing / Brand / Digital Marketing

Media Production & Entertainment

Operations

Production / Manufacturing / Engineering

Product Management

Project & Program Management

Purchase & Supply Chain

Quality Assurance

Research & Development

Restaurant / Hospitality / Tourism

Retail & eCommerce

Risk Management & Compliance

Sales & BD

Security Services

Shipping & Maritime

Software Engineering

Strategic & Top Management

Tailoring, Apparel & Home Furnishing

Teaching & Training

UX, Design & Architecture

Popular Job Localities

Popular Job Companies

Popular Job Departments

Jobs in Top Cities

Popular Job Type

Start Hiring

EYP-DNA-Data & AI Strategy-Associate Director 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. Data n’ Analytics – Data &amp; AI Strategy - Associate Director, Strategy and Transactions EY’s Data n’ Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Management, Visualization, Business Analytics and Automation. The assignments cover a wide range of countries and industry sectors. The opportunity We’re looking for Associate Director – Data &amp; AI Strategy. The main objective of the role is to develop and articulate a comprehensive and forward-looking Data &amp; AI strategy that aligns with the overall business strategy and objectives. Translate business needs and opportunities into actionable data and AI initiatives. Develop and execute a roadmap for AI adoption and implementation across the organization. Identify and evaluate emerging AI technologies and their potential business applications. The role will primarily involve conceptualizing, designing, developing, deploying and maintaining complex technology solutions which help EY solve business problems for the clients. This role will work closelywith technical architects, product and business subject matter experts (SMEs), back-end developersand other solution architects and is also on-shore facing. Discipline Data &amp; AI Key Skills Strong understanding of data concepts, including data warehousing, data mining, data quality, and data governance. Familiarity with AI/ML concepts, algorithms, and applications (e.g., machine learning, deep learning, natural language processing). Client Handling and Communication, Problem Solving, Systems thinking, Passion of technology, Adaptability, Agility, Analytical thinking, Collaboration Skills and attributes for success <ul> <li> 15-17 years of total experience with 10+ years in Data Strategy and architecture field </li> <li> 15-17 years of total experience with 7+ years in AI Strategy &amp; implementation. </li> <li> Strong knowledge of data architecture, data models and cutover strategies using industry standard tools and technologies </li> <li> Architecture design and implementation experience with medium to complex on-prem to cloud migrations with any of the major cloud platforms (preferably AWS/Azure/GCP) </li> <li> Solid hands-on 10+ years of professional experience with creation and implementation of data science engagements and helping create AI/ML products </li> <li> Proven track record of implementing machine-learning solutions, development in multiple languages and statistical analysis </li> <li> 7+ years’ experience in Azure database offerings [ Relational, NoSQL, Datawarehouse ] </li> <li> 7+ years hands-on experience in various Azure services preferred – Azure Data Factory, Kafka, Azure Data Explorer, Storage, Azure Data Lake, Azure Synapse Analytics, Azure Analysis Services &amp; Databricks </li> <li> Minimum of 8 years of hands-on database design, modeling and integration experience with relational data sources, such as SQL Server databases, Oracle/MySQL, Azure SQL and Azure Synapse </li> <li> Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) </li> <li> Strong creative instincts related to data analysis and visualization. </li> <li> Aggressive curiosity to learn the business methodology, data model and user personas. </li> <li> Strong understanding of BI and DWH best practices, analysis, visualization, and latest trends. </li> <li> Experience with the software development lifecycle (SDLC) and principles of product development such as installation, upgrade and namespace management </li> <li> Willingness to mentor team members </li> <li> Solid analytical, technical and problem-solving skills </li> <li> Excellent written and verbal communication skills </li> <li> Strong project and people management skills with experience in serving global clients </li> </ul> To qualify for the role, you must have <ul> <li> Master’s Degree in Computer Science, Business Administration or equivalent work experience. </li> <li> Fact driven and analytically minded with excellent attention to details </li> <li> Hands-on experience with data engineering tasks such as building analytical data records and experience manipulating and analysing large volumes of data </li> <li> Relevant work experience of minimum 15 to 17 years in a big 4 or technology/ consulting set up </li> <li> Help incubate new finance analytic products by executing Pilot, Proof of Concept projects to establish capabilities and credibility with users and clients. This may entail working either as an independent SME or as part of a larger team </li> </ul> Ideally, you’ll also have Ability to think strategically/end-to-end with result-oriented mindset <ul> <li> Ability to build rapport within the firm and win the trust of the clients </li> <li> Willingness to travel extensively and to work on client sites / practice office locations </li> <li> Strong experience in SQL server and MS Excel plus atleast one other SQL dialect e.g. MS AccessPostgresqlOracle PLSQLMySQLStrong in Data Structures &amp; Algorithm </li> <li> Experience of interfacing with databases such as Azure databases, SQL server, Oracle, Teradata etc </li> <li> Preferred exposure to JSON, Cloud Foundry, Pivotal, MatLab, Spark, Greenplum, Cassandra, Amazon Web Services, Microsoft Azure, Google Cloud, Informatica, Angular JS, Python, etc. </li> </ul> What we look for <ul> <li> A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment </li> <li> An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide. </li> <li> Opportunities to work with EY SaT practices globally with leading businesses across a range of industries </li> </ul> What we offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. <ul> <li> Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. </li> <li> Success as defined by you : We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. </li> <li> Transformative leadership : We’ll give you the insights, coaching and confidence to be the leader the world needs. </li> <li> Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. </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.

Ernst & Young LLP ( EY India )

Associate Director

Data Engineer, Specialist Requisition Id : 1637229 Role: <div> <table width="362"> <colgroup> </colgroup> <tbody> <tr> <td height="291" width="362"> The Data Engineer, Specialist is responsible for designing, developing and maintaining scalable data pipelines and infrastructure to support analytics and business intelligence initiatives. This role involves building robust ETL (Extract, Transform, Load) processes, managing databases and optimizing cloud-based data platforms to ensure efficient and seamless integration of data from multiple sources. </td> </tr> </tbody> </table> </div> <div> Roles &amp; Responsibilities: </div> <div> <div> <table width="582"> <colgroup> </colgroup> <tbody> <tr> <td height="291" width="582"> Develop and maintain scalable ETL (Extract, Transform, Load) processes to efficiently extract data from diverse sources, transform it as required and load it into data warehouses or analytical systems. Design and optimize database architectures and data pipelines to ensure high performance, availability and security while supporting structured and unstructured data. Integrate data from multiple sources, including APIs, third-party services and on-prem/cloud databases to create unified and consistent datasets for analytics and reporting. Collaborate with data scientists, analysts and business stakeholders to understand their data needs, develop data solutions and enable self-service analytics. Develop automated workflows and data processing scripts using Python, Spark, SQL, or other relevant technologies to streamline data ingestion and transformation. Optimize data storage and retrieval strategies in cloud-based data warehouses such as AWS Redshift, Google Big Query, or Azure Synapse, ensuring scalability and cost-efficiency. Maintain and improve data quality by implementing validation frameworks, anomaly detection mechanisms and data cleansing processes. Thoroughly tests code to ensure accuracy and alignment with its intended purpose. Reviews the final product with end users to confirm clarity and understanding, providing data analysis guidance as needed. Offers tool and data support to business users and team members, ensuring seamless functionality and accessibility. Conducts regression testing for new software releases, identifying issues and collaborating with vendors to resolve them and successfully deploy the software into production. </td> </tr> </tbody> </table> </div> <table width="313"> <colgroup> </colgroup> <tbody> <tr> <td height="20" width="313"> </td> </tr> </tbody> </table> </div>

Data Engineer

Senior Data Engineer - Marketing AnalyticsWhile technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!Experience: 5+ years Role:We are looking for an experienced GCP Data Engineer with strong expertise in marketing analytics, data modeling, and pipeline development. The ideal candidate will have hands-on experience with Google Marketing Platform (GMP) products, deep understanding of conversion and attribution data, and proven ability to design and implement scalable data architectures supporting marketing dashboards and analytics use cases in the airline/travel industry.Key Responsibilities:<ul><li>Design and implement end-to-end data pipelines using BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Composer for both batch and streaming data ingestion.</li><li>Build and maintain data models to support marketing, campaign performance, and user journey analytics.</li><li>Integrate data from Google Ads, Campaign Manager 360 (CM360), Display &amp; Video 360 (DV360), Search Ads 360, Google Analytics 4.</li><li>Develop and operationalize ETL/ELT pipelines to ensure data quality, scalability, and reliability.</li><li>Collaborate with marketing, data science, and analytics teams to design and support marketing dashboards in Tableau, Looker, Data Studio, or Power BI.</li><li>Implement and manage CI/CD pipelines for automated deployment of data workflows.</li><li>Ensure data privacy, security, and compliance with organizational and regulatory requirements.</li><li>Support identity resolution and conversion attribution modeling to improve marketing ROI and customer insights.</li><li>Work with Vertex AI and Python to operationalize machine learning models where applicable.</li><li>Define and maintain best practices for marketing data architecture, including governance, metadata, and lineage.</li></ul>Required Skills &amp; Experience:<ul><li>Strong proficiency in Google Cloud Platform (GCP) – BigQuery, Dataflow, Pub/Sub, Cloud Composer, and Cloud Storage, Firebase</li><li>Expertise in marketing and advertising data sources: Google Ads, CM360, DV360, SA360, GA4, Firebase.</li><li>Solid understanding of marketing data concepts – conversions, attribution, user journey tracking, and ID resolution.</li><li>Experience in data modeling and pipeline development (batch &amp; streaming).</li><li>Hands-on experience in SQL and Python for data processing and analysis.</li><li>Familiarity with BI  dashboards (Tableau, Looker, Power BI, Data Studio).</li><li>Knowledge of Vertex AI for integrating ML components within data workflows.</li><li>Experience with CI/CD tools (e.g., Cloud Build, GitHub Actions, Jenkins).</li><li>Airline or travel industry experience preferred.</li></ul>Education &amp; Certifications:<ul><li>Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field.</li><li>GCP certification (e.g., Professional Data Engineer, Cloud Architect) is a plus.</li></ul>If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!<h4>Experience Level</h4>Senior Level

Quantiphi Analytics Solution Pvt Ltd

Senior Data Scientist<h4>Job Description</h4>About Company:  KH India GCC Private Limited (KH IGCPL) was incorporated in the year 2017 as a joint venture between Kalashnikov Concern (Russia), Russia’s largest defence manufacturing enterprise and CSIR-Central Mechanical Engineering Research Institute (CSIR-CMERI), India’s premier R&amp;D organization under DST to indigenously design, develop and produce world class Small Arms for Indian &amp; Global markets.   The company has set up its manufacturing facility at Kanpur, Uttar Pradesh which is spread over 15 acres of land with an investment outlay of around US$ 6 million. The company has already started production of 9mm Machine Pistol known as ‘Avtomat Kalashnikova’ or AK-101. The product has been tested by various agencies including Army, Police, Paramilitary forces etc. and well accepted by them. It has also received orders from various countries.   About Job Summary:  Senior Data Scientist will be responsible for building data science models and analytics applications, applying predictive modeling and machine learning techniques to business problems.   He/she should have expertise in programming languages like Python and SQL along with proficiency in data visualization tools such as Tableau. He/She should also possess good communication skills to interact with stakeholders across functions and levels.   About Job Responsibility:  · Analyzing large amounts of historical and real time data using statistical methods, algorithms and other analysis techniques to discover trends and patterns.   · Designing, developing and testing models to forecast future events, risks and opportunities.   · Applying advanced analytics techniques to drive decision making.   · Creating automated systems for monitoring performance metrics.   · Identifying anomalies and trends in data sets.   · Developing code for prototyping and testing ideas.   · Communicating findings through reports, dashboards, graphs, tables and charts.   · Collaborating with team members to ensure projects are completed on schedule.   · Presenting results to management.   About Qualification:  · Bachelor’s degree in computer science, Information Technology, Mathematics, Statistics, Economics, Business Administration or related field. Master’s degree preferred.   · Experience in handling large data sets and working knowledge of statistics packages such as NumPy, pandas, scikit-learn etc.   · Strong background in Statistical Modelling and Data Mining techniques with special emphasis on Machine Learning Algorithms.   · Excellent hands-on experience in Data Visualisation Tools such as Tableau, Power BI etc.   · Good understanding of Programming Languages like Python, R, Java etc.   · Working Knowledge of Database Systems, NoSQL DBMS, SQL Server, Oracle etc.   · Familiarity with Cloud platforms – AWS, Azure etc.   · Ability to communicate complex technical concepts to both technical and non-technical audiences.   · Demonstrated problem solving skills.   · Proactive self-starter with ability to work independently.  <h4>Location(s)</h4>Ahmedabad - Venus Stratum GCC Kraft Heinz is an Equal Opportunity Employer – Underrepresented Ethnic Minority Groups/Women/Veterans/Individuals with Disabilities/Sexual Orientation/Gender Identity and other protected classes.<h4>Experience Level</h4>Senior Level

Kraft Heinz India Pvt Ltd

Data Scientist

I&F Decision Sci Practitioner SpecialistSkill required: Delivery - Supply and Demand Planning Designation: I&amp;F Decision Sci Practitioner Specialist Qualifications:Any Graduation Years of Experience:7 to 11 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com
You will be aligned with our Supply Chain and Operations vertical and help us in the system of organizations, people, activities, information, and resources involved in moving a product or service from supplier to customer. You will be a part of Supply Chain Management team where in you will be accountable to manage Data Science projects which will help in increasing efficiency by doing away with waste and facilitating greater profits. It also involves management of the flow of data and including all processes that transform raw data into usable and organized data. What are we looking for? • Demand/supply forecasting modeling for material Planning
• Strong knowledge of supply chain domain (demand planning, production planning, inventory optimization)
• Expert-level proficiency in Python for modeling and advanced analytics
• Strong expertise in forecasting, machine learning, and optimization methods
• Hands-on experience with Power BI (DAX, Power Query, advanced visual storytelling)
• Excellent stakeholder management and communication skills
• Hands-on experience with cloud platforms (Azure ML, AWS SageMaker, GCP Vertex AI)
• Exposure to MLOps and automation pipelines
• Knowledge of optimization tools/libraries (Pyomo, OR-Tools)
• Publications, patents, or significant contributions to applied data science projects Roles and Responsibilities: • Own the end-to-end lifecycle of demand/supply forecasting models
• Design and implement advanced forecasting and optimization techniques to improve accuracy and business impact
• Drive integration of models with Power BI for scalable reporting
• Act as a subject matter expert, partnering with supply chain teams to define requirements and deliver insights
• Ensure continuous model improvement through monitoring, retraining, and innovation
• Establish best practices in model governance, version control, and documentation
• Provide technical leadership and mentor Analysts and Sr. Analysts
• Manage stakeholder expectations and present analytical outcomes to senior leadership

Accenture India Private Limited

Supply Chain Manager

EY-GDS Consulting-AI And DATA-Data Modeller-Senior <div> At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. </div> <div> </div> EY GDS – Data and Analytics (D And A) – Data Modeller - Senior We’re looking for candidates with strong technology and data understanding in the data modelling space, having proven delivery capability. This is a fantastic opportunity to be part of a leading firm as well as a part of a growing Data and Analytics team. Your key responsibilities <ul type="disc"> <li> Employ tools and techniques used to understand and analyze how to collect, update, store and exchange data </li> <li> Define and employ data modelling and design standards, tools, best practices, and related development methodologies </li> <li> Design, review, and maintain data models </li> <li> Perform data analysis activities to capture data requirements and represent them in data models visualization </li> <li> Manage the life cycle of the data model from requirements to design to implementation to maintenance </li> <li> Work closely with data engineers to create optimal physical data models of datasets </li> <li> Identify areas where data can be used to improve business activities </li> </ul> Skills and attributes for success <ul type="disc"> <li> Experience: 3 to 8 years </li> <li> Data modelling (relevant knowledge): Minimum 3 years </li> <li> Experience in data modeling tools including but not limited to Erwin Data Modeler, ER Studio, Toad, etc. </li> <li> Strong knowledge in SQL </li> <li> Basic ETL skills to ensure implementation meets the documented specifications for ETL processes including data translation/mapping and transformation </li> <li> Good data warehouse knowledge </li> <li> Optional visualization skills </li> <li> Knowledge in data quality (DQ) and data profiling techniques and tools </li> </ul> To qualify for the role, you must have <ul type="disc"> <li> Be a computer science graduate or equivalent with 3 to 8 years of industry experience </li> <li> Have working experience in an Agile-based delivery methodology (preferable) </li> <li> Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution </li> <li> Strong analytical skills and enjoy solving complex technical problems </li> <li> Proficiency in software development best practices </li> <li> Excellent debugging and optimization skills </li> <li> Experience in enterprise-grade solution implementations and converting business problems/challenges to technical solutions considering security, performance, scalability, etc. </li> <li> Excellent communicator (written and verbal, formal and informal) </li> <li> Participate in all aspects of the solution delivery life cycle including analysis, design, development, testing, production deployment, and support </li> <li> Client management skills </li> </ul> <div> EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. </div>

EYP-SCM-Analytics Manager 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. EY- Strategy and Transaction – TSE - SCM (Manager) Within SaT, TSE team support group provides a full range of operationally focused services including M&amp;A Integration, Carve-out, Operational and IT Due Diligence, Operational Restructuring and Performance Improvement services. Transactions Strategy Execution team works closely with their counterpart teams primarily made up of members of both the EY through offshore support in India as well as onshore support in EY US and client locations. The opportunity We’re looking for Managers with expertise in Supply Chain Advisory – Including Sourcing, Planning Cost Reduction and Working Capital Improvement, SKU Rationalization . This is a fantastic opportunity to be part of a leading firm and develop your career through a broad scope of engagements, mentoring, and learning &amp; development. Your key responsibilities <ul> <li>  Work on client engagement teams executing TSE engagements which support key decision makers in developing and executing strategies for transactions. </li> <li> Assess the client's state of readiness with respect to people, resources, planning, data collection and strategy, while identifying high-risk areas, unidentified issues and areas for overall improvement. </li> <li> Demonstrate excellent skills in project execution, including synergy assessment, problem-solving, and facilitation. </li> <li> Assist with the execution of the integration/divestiture plan while working to constantly identify areas for improvement, including resolving integration/divestiture issues. </li> <li> Be responsible for work products that document engagement procedures performed vs. objectives. </li> <li> Maintain relationships with client and EY practice personnel at appropriate levels. </li> <li> Effectively participate on teams with diverse skills and backgrounds, while staying abreast of current business and industry trends relevant to the client's business. </li> <li> Supervise, coach, and mentor team members at the junior level. </li> <li> Demonstrate strong transaction knowledge in a particular industry (e.g., manufacturing, life sciences, consumer product goods, industrial products, technology, retail, etc.) </li> <li> Assist in business development activities including preparing presentations for pursuit meetings with clients to help sell advisory services. </li> </ul> Specific responsibilities: <ul> <li> Assess risks across the value chain </li> <li> Improve supply chain performance &amp; visibility </li> <li> Enhance supplier effectiveness &amp; collaboration </li> <li> Design the cost effective &amp; optimized SCM </li> <li> Improve flexibility across nodes &amp; enhance regulatory compliance; and </li> <li> Strengthen supply chain controls and improve resiliency </li> </ul> Skills and attributes for success <ul> <li> Experience in providing advisory services in the supply chain and at least more than one of the following operational areas that impact the supply chain function: assessments, supply chain strategy, distribution/logistics (inbound, outbound, return), inventory management, procurement and sourcing, lean-six sigma, sales and operations planning, cost reduction </li> <li> Demonstarted record in driving revenue within existing clients and in developing new prospects at the "C" level of Fortune 500 companies. </li> <li> Experience managing staff on multiple projects and providing direction to team members </li> <li> Experience in selling and delivering projects that cover the full lifecycle of assessment, design and implementation support. </li> <li> Must have strong analytical and problem-solving skills, and excellent oral and written communication skills. </li> </ul> To qualify for the role, you must have <ul> <li> Must be a Post Graduate with degree in Engineering, Business, Supply Chain, Logistics and at least 8-10 years of post-qualification and related work experience </li> <li> Functional Competency: Deep competency in one of the functions as described below and must have done projects across multiple areas within that competency with minimum 3-4 years of experience <ul> <li> Supply Chain Advisory (Sourcing, Planning, Manufacturing, Logistics, Warehousing, Distribution and Transportation) </li> <li> Performance Improvement (SG&amp;A Cost Reduction, Manufacturing Optimization, Working Capital Improvement, SKU Rationalization etc.) </li> <li> Sales &amp; marketing - CRM or Supply Chain – Manufacturing execution system (MES)/ Supply Chain Planning Systems </li> </ul> </li> <li> Along with core expertise in supply chain competency candidate need to have strong analytical and technological expertise. </li> <li> Quantitative and Analytical Expertise <ul> <li> Deep experience in formulating and solving supply chain problems using LP, MILP, and stochastic models </li> <li> Proficient in applying optimization techniques to real-world constraints across sourcing, inventory, and logistics </li> <li> Skilled in regression analysis, time-series forecasting, and causal modelling to support demand planning and scenario analysis </li> <li> Hands-on with discrete-event and agent-based simulation tools (e.g., Any-Logic, Llama-soft) for capacity planning, network resilience, and what-if analysis </li> </ul> </li> <li> Advanced Python/Excel/PowerBI &amp; SQL Skills <ul> <li> Experienced in building analytical solutions using Python (pandas,NumPy,SciPy,stats models) and writing optimized SQL queries for large-scale data environments </li> <li> Proficient in Power BI/Tableau for building interactive dashboards and executive-level reporting tools </li> </ul> </li> <li> Strategic and Leadership Capabilities <ul> <li> Proven success in working different cross functional teams and stakeholders to deliver required business goals </li> <li> Mentors junior team members and drives adoption of analytical best practices across supply chain functions </li> <li> Experience managing global supply chain initiatives; open to travel and cross-border collaboration </li> </ul> </li> </ul> Ideally, you’ll also have <ul> <li> Project management skills </li> <li> Strong communication and presentation skills </li> </ul> What you can look for <ul> <li> A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment </li> <li> An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide. </li> <li> Opportunities to work with EY SaT practices globally with leading businesses across a range of industries </li> </ul> What working at EY offers EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. EY is committed to being inclusive in all dimensions of diversity to ensure every employee is able to be and bring their authentic self to work, every day. About EY As a global leader in assurance, tax, transaction and advisory services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now 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.

Digital - Sr Manager - Data Science 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. EY- Assurance – Sr.Manager - Digital Position Details As part of EY GDS Assurance Digital, you will be responsible for implementing innovative ideas through AI research to develop high growth &amp; impactful products. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. You will work with multi-disciplinary teams across the entire region to support global clients. This is a combination of a technical role and a business development role in AI, responsible for creating innovative solutions by applying AI based techniques for business problems. As our in-house senior AI engineer, your expertise and skills will be vital in our ability to steer one of our Innovation agenda. Responsibilities <ul> <li> 10-12 years of experience in Data Science, with about 15 years of total experience </li> <li> Talk to businesses across Assurance teams and understand the problem and develop the solution based on problem, infra and cost limitations </li> <li> Respond to AI related RFPs and business cases </li> <li> Ensure team’s utilization and billability – i.e ensure that the projects are lined up for developers on after the other </li> <li> Convert business problem into analytical problem and devise a solution approach </li> <li> Clean, aggregate, analyze and interpret the data to derive business insights from it. </li> <li> Own the AI/ML implementation process: Model Design, Feature Planning, Testing, Production Setup, Monitoring, and release management. </li> <li> Work closely with the Solution Architects in deployment of the AI POC’s and scaling up to production level applications. </li> <li> Should have solid background in Python and has deployed on open-source models- </li> <li> Work on data extraction techniques from complex PDF/Word Doc/Forms- entities extraction, table extraction, information comparison. </li> </ul> Key Requirements/Skills &amp; Qualification: <ul> <li> Excellent academic background, including at a minimum a bachelor or a master’s degree in data science, Business Analytics, Statistics, Engineering, Operational Research, or other related field with strong focus on modern data architectures, processes, and environments. </li> <li> Solid background in Python with excellent coding skills. </li> <li> 6+ years of core data science experience in one or more below areas: <ul> <li> Machine Learning (Regression, Classification, Decision Trees, Random Forests, Timeseries Forecasting and Clustering) </li> <li> Understanding and usage of Large Language Models like Open AI models like ChatGPT, GPT4, function calling, frameworks like LangChain, Llama Index, agents etc. </li> <li> Retriever augmented generation and prompt engineering. </li> <li> Good understanding of open source LLM framework like Mistral, Llama, etc. and fine tuning on custom datasets. </li> <li> Deep Learning (DNN, RNN, LSTM, Encoder-Decoder Models) </li> <li> Natural Language Processing- Text Summarization, Aspect Mining, Question Answering, Text Classification, NER, Language Translation, NLG, Sentiment Analysis. </li> <li> Computer Vision- Image Classification, Object Detection, Tracking etc. </li> <li> SQL/NoSQL Databases and its manipulation components </li> <li> Working knowledge of API Deployment (Flask/FastAPI/Azure Function Apps) and webapps creation, Docker, Kubernetes. </li> </ul> </li> </ul> Additional skills requirements: <ul> <li> Excellent written, oral, presentation and facilitation skills </li> <li> Ability to coordinate multiple projects and initiatives simultaneously through effective prioritization,organization, flexibility, and self-discipline. </li> <li> Must have demonstrated project management experience. </li> <li> Knowledge of firm’s reporting tools and processes. </li> <li> Proactive, organized, and self-sufficient with ability to priorities and multitask. </li> <li> Analyses complex or unusual problems and can deliver insightful and pragmatic solutions. </li> <li> Ability to quickly and easily create/ gather/ analyze data from a variety of sources. </li> <li> A robust and resilient disposition able to encourage discipline in team behaviors </li> </ul> What we look for <ul> <li> A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment. </li> <li> An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. </li> <li> Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries </li> </ul> What working at EY offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: <ul> <li> Support, coaching and feedback from some of the most engaging colleagues around </li> <li> Opportunities to develop new skills and progress your career </li> <li> The freedom and flexibility to handle your role in a way that’s right for you </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.

Lead, Analytics & Analysis, Projects & Reporting, Global Procu<h4>Company Description</h4>At Konecranes, we believe that great customer experience is built on the people behind the Konecranes name. Everything we do, we do with passion and drive. We believe diversity drives business success and is the foundation for our growth. We welcome different backgrounds and skills that enrich our community and we promote a place where we can ALL be ourselves. This is what makes Konecranes a unique place to work.<h4>Job Description</h4>General Job description:Goal setting, management of Procurement analysis/analytics activities, and ensuring the centre achieves its results and objectives in a timely manner. Day to day tasks within the objectives and KPIS with direct and considerable impact through own work to the Global Procurement Function. Proactive problem solving with can do attitude by existing/continuous improvement of global processes /working methods to make it lean and more efficient. Influence communication with global stakeholders with facts and data to get better alignmentKey Role<ul><li>Design and develop business insights related to Key strategic KPIs like on time delivery, on time confirmation, payment terms, lead time, reclamations and escalations</li><li>Convert data into meaningful key insights for business decisions</li><li>Utilize analytical, statistical and programming skills to collect, analyse and interpret large scale data sets</li><li>Provide data driven solutions to business challenges</li><li>Use predictive modelling to increase and optimize Procurement organization spend</li><li>Deliver on periodical reports on time and accurately to make business impact with high complexity</li><li>Development and productizing the analysis in relation to global operations of Procurement for standard offering</li><li>Ensure accuracy and structure in procurement data</li><li>Creating dashboards with Power BI or other similar tools</li><li>Ensure master data integrity in key systems / maintaining the processes to support data quality</li><li>Conduct market research to support future business planning</li><li>Coach team in interpreting data and enhance team’s competency on statistical tools</li><li>Use predictive modelling to increase and optimize Procurement organization spend</li><li>Development and productizing the analysis in relation to global operations of Procurement for standard offering</li><li>Ensure accuracy and structure in procurement data</li><li>Provide data driven solutions to business challenges</li><li>Key Behavioral SkillsKey BehavioursBehavioural DescriptionLead our FutureEmbrace sustainable change to deliver desired change outcomes. Identifies and takes ownership of opportunities presented through ambiguous situations, generating creative ideas/solutions. Challenges the status quo to simplify, rationalise or develop business processes or services to meet the needs of our internal/external customers.Empower our PeopleTwo-way - Communicates openly and confidently. Motivates and influences others in a way that results in acceptance and agreement.Add Value for our CustomersMake it easy for our customer/community by proactively anticipating internal and external needs - collaborating to build valued and trusted relationships through the delivery of high-quality service. Recognises the importance of teamwork to achieve outcomes; brings in ideas, information, suggestions, and expertise from others outside the immediate team.Deliver on the PromiseActs with integrity &amp; Achievement focussed. Shows energy and resilience. Takes personal accountability for achieving individual and shared outcomes. Sets robust plans well in advance and initiates action to move work forward.Achievement focused. Takes personal accountability for achieving individual and shared outcomes. Sets robust plans well in advance and initiates action to move work forward. Adjusts actions to respond and capitalise on changing circumstances. Manages time effectively, monitoring performance against deadlines and milestones. . Shows energy and resilience. Is authentic, approachable open and honest.Role and Responsibility:</li><li>Manage a group of specialists and responsible for their performance management</li><li>Responsible for delivering the monthly reports, metrics &amp; process documentation related to Procurement</li><li>Respond positively to proposed data initiatives, arising from the Information Governance Group, and provide the necessary support and expertise to deliver such initiatives.</li><li>Implement specific customer requirements, such as internal reporting or customized transportation metrics.</li><li>Develop the simulation models to get the optimal prices for supplier managers/category managers</li><li>Analyse and present complex data into meaningful decision-making information</li><li>Develop analytics dashboard &amp; support with actionable insights</li><li>Analyse &amp; highlight the Categories with tail spend</li><li>Participate in global projects with global team and deliver results</li><li>Ensure to support the process owners in the ad-hoc requests.</li><li>Oversee the definition and delivery of data governance approaches, principles and processes</li><li>Oversee the approach and application of data quality principles, methods and processes to improve the quality of data</li><li>Apply industry knowledge to interpret data and improve performance</li><li>Awareness of ISO 14001 and 45001 standards</li></ul><h4>Qualifications</h4>Education Required: Graduation/Post Graduation/PGDBMProfessional Experience Required (Min – Max.): 12~16 years<ul><li>Minimum 6 years’ experience – preferably in the given industry segments - Manufacturing, OEM, Retail – CPG, Services, Telecom, IT etc.</li><li>5 years of demonstrated work experience in Procurement/Supply Chain analytics. Expert in tools like R and Python</li><li>Min 5 years of demonstrated work experience in people management having direct supervision of peopleTechnical Competence:</li><li>Proficient in statistics, machine learning, coding languages, databases and reporting technologies</li><li>QlikView / Power Bi or similar reporting system knowledge</li><li>Strong project management experience &amp; exposure to data management tools</li><li>Excellent numerical accuracy and agility</li><li>Profound Knowledge of SAP environments and extraction of data</li><li>Ability to prepare and deliver training materials</li><li>Good Knowledge in Procurement and supply chain</li><li>Implementation and communication of new dashboards, planning actions related to findings</li><li>Project management skills</li><li>R and Python</li></ul><h4>Additional Information</h4>What we can offer you.<ul><li>Work in a global environment</li><li>Competitive Salary</li><li>Work-Life balance</li><li>Innovative and dynamic working environment</li><li>Support of an excellent Global Team</li><li>Possibility to work in leading crane building company with leading technology</li></ul>Why join us?We are a global company with history dating back to 1910 - with future looking attitude that has brought us here today. Now together, we are shaping the next generation of material handling for smarter and safer world.We believe in creating a workplace that is built on trust, flexibility, friendliness and inclusivity towards each other and culture with open communication and low hierarchy. We are a strong expert organisation where you are able to use modern tools and technologies - while embracing agile methodologies and continuous learning and development.Want to learn more about Konecranes IT and what your future colleagues have to say? Visit our IT career pages on <a href="http://www.konecranes.com/careers/explore-our-roles/it-careers">www.konecranes.com/careers/explore-our-roles/it-careers</a>Interested? If this role sparked your interest, please submit your application by 15-Nov-2025 at latest, on our career site. We will contact you after the application period at latest.Have questions? Please feel free to write.Email: harshita.agrahari@konecranes.com Konecranes moves what matters. We are a global leader in material handling solutions, serving a broad range of customers across multiple industries. We consistently set the industry benchmark, from everyday improvements to the breakthroughs at moments that matter most, because we know we can always find a safer, more productive and sustainable way. That's why, with 16 000+ professionals in over 50 countries, we are trusted every day to lift, handle and move what the world needs. Konecranes is committed to ensuring that all employees and job applicants are treated fairly in an environment which is free from any form of discrimination.<h4>Experience Level</h4>Senior Level

Konecranes and demag pvt ltd

Social Media Marketing

Data Scientist Senior AssociateWe know that people want great value combined with an excellent experience from a bank they can trust, so we launched our digital bank, Chase UK, to revolutionize mobile banking with seamless journeys that our customers love. We're already trusted by millions in the US and we're quickly catching up in the UK – but how we do things here is a little different. We're building the bank of the future from scratch, channeling our start-up mentality every step of the way – meaning you'll have the opportunity to make a real impact.  As a Data Scientist Senior Associate at JPMorgan Chase within the International Consumer Bank, you will be a part of a flat-structure organization. Your responsibilities are to deliver end-to-end cutting-edge solutions in the form of cloud-native microservices architecture applications leveraging the latest technologies and the best industry practices. You are expected to be involved in the design and architecture of the solutions while also focusing on the entire SDLC lifecycle stages. Our fraud analytics team is at the heart of this venture, focused on getting smart ideas into the hands of our customers. We're looking for people who have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By their nature, our people are also solution-oriented, commercially savvy and have a head for fintech. We work in tribes and squads that focus on specific products and projects – and depending on your strengths and interests, you'll have the opportunity to move between them.  Job spec requirements:The Fraud &amp; Financial crime Product function leads the 1st line of defense business for fraud &amp; financial crime risk, including ownership of the fraud &amp; financial crime strategy and control framework across all products and channels. Working inside a specialist fraud team to ensure transaction monitoring and controls are optimized to reduce fraud &amp; financial crime risk whilst ensuring 1st class client experience – you will be supporting the product from an Analytics perspective. Job responsibilities<ul><li>Develop and implement fraud strategies/rules to effectively detect fraudulent activities.</li><li>Analyze data to support fraud product, fraud operations, and financial crime efforts to protect the financial interests of the customers and the bank.</li><li>Analyze data to support the fraud operation team to improve efficiency and decision accuracy, including translating fraud strategy into fraud operation impact.</li><li>Collaborate with the 2nd line fraud risk teams to ensure models, rulesets, and strategies are effective.</li><li>Ensure all compliance, audit, and control frameworks are followed – using data to confirm these processes adhere to regulation standards.</li><li>Share best practices across JP Morgan Chase &amp; Co.</li><li>Communicate effectively with superior written, oral communication, and presentation skills, with experience communicating concisely and effectively with all levels of management and partners</li></ul> Required qualifications, capabilities and skills<ul><li>Master’s degree in numeric fields or STEM related fields, such as statistics, computer science, data science, etc</li><li>Knowledge of Fraud / Financial crime processes and products</li><li>Team development and management experience required.</li></ul> #ICBCareerJPMorganChase, 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>Senior Level

JP Morgan Services India Pvt Ltd

Senior Data Scientist<h4>Job Description</h4>Position OverviewAs a Senior Data Scientist in the Ecommerce Methods team, you’ll develop and implement data-driven solutions to enhance ecommerce measurement and performance. You’ll design forecasting models, collaborate with cross-functional partners, and ensure the quality and impact of analytics. This role involves solving real-world retail challenges and communicating insights to both technical and non-technical audiences.Key Responsibilities<ul><li>Methodological Development: Collaborate in the design, prototyping, and refinement of data science methodologies to measure online retail performance.</li><li>Advanced Analytics: Develop, test, and validate statistical and machine learning models addressing revenue forecasting, outlier detection, missing data imputation, and data synthesis.</li><li>Quality Assurance: Contribute to validation efforts, code reviews, and documentation, promoting reliability and reproducibility in our analytics.</li><li>Knowledge Sharing: Present findings internally, contribute to technical documentation, and stay abreast of advancements in ecommerce analytics.</li><li>Collaboration &amp; Support: Partner with colleagues across teams to understand business needs and support the deployment of analytical solutions. Mentor junior team members and contribute to a collaborative team environment.</li><li>Continuous Learning: Keep up-to-date with the latest trends, tools, and best practices in data science, machine learning, and ecommerce analytics.</li></ul><h4>Qualifications</h4><ul><li>Education: Master’s degree (or higher) in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.</li><li>Experience: 3+ years of hands-on data science or advanced analytics experience, preferably in ecommerce, retail analytics, or digital marketing.</li><li>High proficiency in Python, with experience in statistical modeling, machine learning, data wrangling, and visualization.</li><li>Solid understanding of statistical inference, time series analysis, and machine learning algorithms.</li><li>Experience with version control (Git) and containerization (Docker) is a plus.</li></ul><h4>Additional Information</h4>Our Benefits<ul><li>Flexible working environment</li><li>Volunteer time off</li><li>LinkedIn Learning</li><li>Employee-Assistance-Program (EAP)</li></ul>About NIQNIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.For more information, visit NIQ.comWant to keep up with our latest updates?Follow us on: <a href="https://www.linkedin.com/company/nielseniq/mycompany/">LinkedIn</a> | <a href="https://www.instagram.com/nielseniq/">Instagram</a> | <a href="https://twitter.com/nielseniq">Twitter</a> | <a href="https://www.facebook.com/NielsenIQ.global/">Facebook</a>Our commitment to Diversity, Equity, and InclusionAt NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.  All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the <a href="https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnielseniq.com%2Fglobal%2Fen%2Fnews-center%2Fdiversity-inclusion&amp;data=05%7C02%7CJenny.Rebecca%40nielseniq.com%7C6e534cbe3eb041842d5f08dc6dca121e%7C6ac7a1f45fb14153bb4f12d2020a1f7d%7C0%7C0%7C638505961881417602%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&amp;sdata=B%2Fp40oNUpJOw1CNoc87EFXk%2BvxeO1jxYOSRCEKM%2Fz5Q%3D&amp;reserved=0">https://nielseniq.com/global/en/news-center/diversity-inclusion</a><h4>Experience Level</h4>Senior Level

NielsenIQ

Senior-AU-D&AJob details•Proposed designation Senior - Automation (D&amp;A Hub)•Role type Individual contributor•Reporting to  Assistant Manager - Data &amp; Analytics Hub•Geo to be supported Australia•Work timings Full-timeRoles &amp; responsibilities•Provide expertise in solution development and automation to solve complex business problems.•Create and articulate solutions for clients that clearly demonstrate the benefits of data-driven decision-making.•Ability to run bespoke solutions, able to identify bugs to manage with relevant development team•Lead client projects, ensuring high-quality deliverables within the agreed timeline and budget.•Mentor junior team members and support their growth and learning within the company.Educational qualifications•Computer Science•Software/ Computer Engineering•Mathematics/Statistics•Data Science•Business Analytics or a related fieldAdditional certifications (if any):•Python, VBA, PowerBI, Power Automate, Alteryx, Databricks, SQL, Microsoft Azure cloud technologies and AI-powered solutions, Microsoft Office Suite<h4>Experience Level</h4>Senior Level

Kpmg India Services Llp

Senior Automation Engineer

Data Engineer (SQL, Spark/Pyspark, Databricks)<h4>Summary</h4>Job Profile SummaryWe’re looking for dynamic data engineers with Databricks or Apache Spark and AWS experience to join the data analytics team at Gainwell Technologies. You will have the opportunity to work as part of a cross-functional team to define, design and deploy frameworks for data collection, normalization, transformation, storage and reporting on AWS to support the analytic missions of Gainwell and its clients.  <h4>Your role in our mission</h4><ul><li>Design, develop and deploy data pipelines including ETL-processes for getting, processing and delivering data using Databricks or Apache Spark Framework.</li><li>Monitor, manage, validate and test data extraction, movement, transformation, loading, normalization, cleansing and updating processes. Build complex databases that are useful, accessible, safe and secure.</li><li>Coordinates with users to understand data needs and delivery of data with a focus on data quality, data reuse, consistency, security, and regulatory compliance.</li><li>Collaborate with team-members on data models and schemas in our data warehouse.</li><li>Collaborate with team-members on documenting source-to-target mapping.</li><li>Conceptualize and visualize data frameworks.</li><li>Communicate effectively with various internal/external stakeholders.</li></ul> <h4>What we're looking for</h4><ul><li>Bachelor's degree in computer sciences or related field</li></ul><ul type="disc"><li>14+ years of experience or equivalent experince in ETL Processing/data architecture or equivalent</li><li>6+ years of experience working with big data technologies on AWS/Azure/GCP</li><li>4+ years of experience in the Databricks/Apache Spark framework (Python/Scala)</li><li>Experience working with different between database structures (e.g., transaction based vs. data warehouse)</li><li>Databricks and AWS developer/architect certifications a big plus</li><li>Ability to lead and mentor a team of engineers         </li></ul> Other Qualifications<ul type="disc"><li>Strong project planning and estimating skills related to area of expertise</li><li>Strong communication skills</li><li>Good leadership skills to guide and mentor the work of less experienced personnel</li><li>Ability to be a high-impact player on multiple simultaneous engagements</li><li>Ability to think strategically, balancing long and short-term priorities</li><li>Willingness to travel</li></ul><h4>What you should expect in this role</h4><ul><li>Client or office environment / may work remotely</li><li>Occasional evening and weekend work</li></ul><h4>Experience Level</h4>Senior Level

Gainwell Technologies

Sr. Manager, Product & Customer Data Science Engineering - C360 AppsTo get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategorySoftware EngineeringJob DetailsAbout SalesforceSalesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place. Salesforce is embarking on our own Digital Transformation to deliver customer success for our customers and accelerate our growth. A key pillar of this transformation is building a strong data foundation to support all of our core marketing needs through intelligent data sets as a service. We’re looking for an experienced and committed Engineering Manager to work with our talented Data and Visualization Engineers to build data pipelines, metrics, and dashboards for our Technology &amp; Product partners. In this role, you will partner with Data &amp; Analytics Decision Scientists and Product Managers to work with business partners across Technology &amp; Product functions to understand business needs, translate them to technical requirements, wrangle data from various systems, and design automated data pipelines, and build data products and visualizations to drive insights. You will work with internal technology groups to automate the data collection and definition process.  The right candidate will have strong data architecture, ETL, SQL, and experience with Visualization tools and architectures, such as Tableau and Scuba, and a proven track record working with and curating enterprise metrics. The candidate will also have strong operational skills to drive efficiency and speed, expertise building repeatable engineering processes, strong project management skills, and a vision for how to deliver data products.  Responsibilities<ul><li>Lead and manage a team of data and visualization engineers to deliver data products for company Executives</li><li>Actively develop, enhance and maintain data pipelines and workflows for marketing data and metrics.</li><li>Work with teams across the organization and build data metric requirements, build quick POC’s, document functional and technical requirements.</li><li>Develop ETL pipelines from Oracle system to Snowflake.</li><li>Develop the frameworks in Snowflake to automate the ETL process.</li><li>Develop DBT ETL pipelines for data ingestion and transformation.</li><li>Maintaining , deploying and code versioning the ETL process.</li><li>Using GIT CI/CD for Devops.</li><li>Work with the business stakeholders, analyze the metrics and build data insights.</li><li>Help in building POC solutions for new marketing metrics that drive effective decision making.</li><li>Design &amp; develop easy, repeatable and reusable automation data frameworks.</li><li>Responsible for end-to-end data management activities, including but not limited to identify fields, data lineage and integration, performing data quality checks, analysis and presenting and visualizing data.</li><li>Manage business intelligence and data warehouse plans </li><li>Review and validate logical and physical design to ensure alignment with the defined solution architecture. Review solution design and ensure that the defined standards and framework are followed.</li><li>Evaluate, determine root cause and resolve critical issues.</li><li>Work with internal team members and external partners to support data collection and analysis and understand reporting needs</li><li>Collaborate with Data Science teams and support them with all the data they would need to produce their models.</li><li>Work and collaborate with global teams across North America, EMEA and APAC.</li><li>Manage technical consultant(s) and contractors as applicable to meet the goals of the organization  </li></ul>Required Skills/Experience<ul><li>Bachelor's Degree in Computer Science or a related discipline, with 10+ years related information systems experience in a data engineering, data modeling, automation and analytics</li><li>Prior people management experience, and experience working with globally distributed engineering teams preferred</li><li>Strong understanding of business problems and ability to communicate with business and product stakeholders</li><li>Ability to prioritize and complete multiple tasks in a highly dynamic environment with a results oriented approach.</li><li>Strong Pyspark and Airflow Knowledge</li><li>Deep understanding of data engineering concepts, database designs, associated tools, system components, internal processes and architecture.</li><li>Deep understanding of defining requirements for and delivering data visualizations in Tableau</li><li>Experience working as a technical lead/solution architect in a customer-focused team</li><li>Experience working closely with Analytics/Data Science teams</li><li>Team-first mentality. Excellent interpersonal skills in order to build strong relationships that will be critical for the success in this role.</li><li>Must be able to proactively communicate status and identify risks</li><li>Self-starter, highly motivated, able to shift directions quickly when priorities change, think through problems to come up with innovative solutions and deliver against tight deadlines.</li><li>Must be results oriented and able to move forward without complete information and with minimal supervision</li><li>Well versed with Snowflake.</li><li>Experience with ETL technologies like Dbt.</li><li>Proficiency with SQL, Bash and Python scripting</li><li>Proficiency in at least one business intelligence tool such as Tableau or Einstein Analytics</li><li>Airflow, CI/CD pipelines via Jenkins or similar tools, Github</li><li>AWS technologies like ECS, Cloudwatch and Lambda</li></ul>Unleash Your PotentialWhen you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this <a href="https://careers.mail.salesforce.com/accommodations-request-form" rel="noopener noreferrer" target="_blank">Accommodations Request Form</a>.Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. <a href="https://www.eeoc.gov/know-your-rights-workplace-discrimination-illegal" rel="noopener noreferrer" target="_blank">Know your rights: workplace discrimination is illegal.</a> Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.<h4>Experience Level</h4>Senior Level

AI Resume builder

AI Resume checker

AI Cover letter generator

Blog

Data Science & Analytics Jobs - 1984 Verified Vacancies

Associate Director

Data Engineer

Data Engineer

Data Scientist

Supply Chain Manager

Data Engineer

Supply Chain Manager

Data Scientist

Social Media Marketing

Data Scientist

Data Scientist

Senior Automation Engineer

Data Engineer

Data Scientist

Know more about Data Science Analytics Jobs In Ghaziabad