consultant - business consulting (data science/engg) Jobs in Bangalore

consultant - business consulting (data science/engg)

data engineer i

data science - lead

lead business analyst - data Jobs in Bangalore

lead business analyst - data

marketing consultant

consultant business consulting data science engg

Infosys

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 5 &ndash; 10 years of Python data engineering experience
 
 
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 Experience in Developing Data Pipelines that process large volumes of data using Python, PySpark, Pandas etc., on AZURE.
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 Experience in developing ETL, OLAP based and Analytical Applications.
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 Experience in ingesting batch and streaming data from various data sources.
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 Strong Experience in writing complex SQL using any RDBMS (Oracle, PostgreSQL, SQL Server etc.)
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 Ability to quickly learn and develop expertise in existing highly complex applications and architectures.
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 Experience in Azure Data Factory (ADF), Azure Data Brick, Azure Synapse, Azure SQL, Azure DWH, Azure Data Lake Storage / Analytics, Azure Database Migration Services
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 Experience of DevOps and CD/CD tools.
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 Familiarity with Rest APIs
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 Experience with CI/CD pipelines, branching strategies, &amp; GIT for code management
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 Comfortable working in Agile projects
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 Bachelor's degree in computer science, information technology, or a similar field. You will need to be well spoken and have an easy time establishing productive long lasting working relationships with a large variety of stakeholders
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 Take the lead on data pipeline design with strong analytical skills and a keen eye for detail to really understand and tackle the challenges businesses are facing
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 You will be confronted with a large variety of Data Engineer tools and other new technologies as well with a wide variety of IT, compliance, security related issues.
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 Design and develop world-class technology solutions to solve business problems across multiple client engagements.
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 Collaborate with other teams to understand business requirements, client infrastructure, platforms and overall strategy to ensure seamless transitions.
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 Work closely with AI and A team to build world-class solutions and to define AI strategy.
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 You will possess strong logical structuring and problem-solving skills with expert level understanding of database and have an inherent desire to turn data into actions.
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 Strong verbal, written and presentation skills
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 Clear and precise communication skills
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Consultant - Business Consulting (Data Science/Engg)

Blue Yonder

<div>
 
 Overview &amp; Scope
 
 
 
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 Leading AI-driven Global Supply Chain Solutions Software Product Company and one of Glassdoor&rsquo;s
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 &ldquo;Best Places to Work&rdquo;
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 We are seeking a highly skilled and motivated Data Science Consultant to join our Supply Chain
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 Management team. The ideal candidate will leverage data-driven insights to optimize supply chain
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 processes, improve decision-making, and drive business results. You will work closely with crossfunctional
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 teams, utilizing advanced data analytics, machine learning, and optimization techniques to
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 enhance supply chain efficiency, forecast demand, and solve complex operational challenges.
 
 
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 </ul>
 
 What You&rsquo;ll Do
 
 
 
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 Data Analysis &amp; Modeling: Analyze large, complex data sets related to demand forecasting, supply
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 planning to uncover actionable insights.
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 Machine Learning: Apply statistical and machine learning techniques to forecast demand which would
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 include
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 Data ingestion, data visualization and insights, verifying the integrity of data used for analysis
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 Feature engineering, configuring forecasting models
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 Fine tune forecasting model
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 Present results in a clear manner
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 Supply Chain Optimization: Implement optimization algorithms to improve supply chain efficiency, reduce
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 costs, and enhance service levels.
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 Consulting &amp; Advisory: Serve as a subject matter expert (SME) for supply chain analytics, advising
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 stakeholders on best practices, tools, and strategies for effective supply chain management.
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 Process Improvement: Identify inefficiencies within the supply chain and recommend data-driven
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 strategies for continuous improvement.
 
 
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 </ul>
 
 What We Are Looking For
 
 
 
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 Educational Background: Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Industrial
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 Engineering, Operations Research, Supply Chain Management, or a related field.
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 Experience: 5-12 years of experience in data science or Supply Chain Operations Analytics, or worked on
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 forecasting projects leveraging statistical/ML models; experience with data visualization tools
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 Technical Skills: Proficiency in data science tools and programming languages such as Python, R, SQL, and
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 experience with supply chain management platforms/processes. Good, applied statistics skills, such as
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 distributions, statistical testing, regression, etc
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 Machine Learning: Hands-on experience with machine learning techniques/algorithms (e.g., regression,
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 classification, clustering) and optimization models.
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 Industry Knowledge: Familiarity with supply chain processes such as demand forecasting, inventory
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 management, procurement, logistics, and distribution.
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 Analytical Thinking: Strong problem-solving skills with the ability to analyze complex data sets and
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 translate insights into actionable recommendations.
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 Personal competencies
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 Ability to work independently and as part of a team in a consulting environment.
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 Attention to detail, with the ability to manage large data sets and complex analysis.
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 Communication: Excellent verbal and written communication skills to present findings clearly to non-technical stakeholders.
 
 
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 Our Values
 
 
 
 If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success &ndash; and the success of our customers. Does your heart beat like ours? Find out here: Core Values
 
 
 All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
</div>

Staff Data Scientist I - Supply Chain Operations Analytics

Adobe

<div>
 
 Our Company
 
 
 
 Changing the world through digital experiences is what Adobe&rsquo;s all about. We give everyone&mdash;from emerging artists to global brands&mdash;everything they need to design and deliver exceptional digital experiences! We&rsquo;re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
 
 
 We&rsquo;re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
 
 
 The Learning Technology Consultant is part of the Customer Onboarding team for Adobe Learning Manager (ALM) and is a key member who works on onboarding projects and is the technology advisor to our customers. Understand customer needs and work with Adobe teams to onboard customers with detailed technology solutions during consulting projects. Technical responsibilities include problem identification, system architecture definition, hardware/software specification and/or design, implementation, testing, client training, and solution deployment. Project management activities include interaction with company and client leaders and schedule monitoring. Performance is typically measured by the capture of the consulting engagement and/or delivery of agreed solutions within budgeted hours.
 
 
 Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
 
 
 Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.
</div>

Professional Services Consultant

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 Proficiency in programming languages such as Python.
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 Experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch, Keras).
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 Strong understanding of machine learning algorithms and statistical methods.
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 Hands-on experience with data preprocessing, fine tuning, feature engineering, and model evaluation.
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 Analytical Skills: Excellent problem-solving skills and the ability to analyze complex data sets.
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 Develop and Implement AI Solutions: Design, develop, and deploy AI models and algorithms to solve business problems and improve operational efficiency.
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 Generative AI Projects: Work on generative AI projects, including natural language processing (NLP), computer vision, and other related areas.
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 Data Analysis and Insights: Analyze large datasets to extract actionable insights and support data-driven decision-making.
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 Collaborate with Teams: Work closely with product owners, data scientists, and engineers to integrate AI solutions into platform and services.
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 Research and Innovation: Stay updated with the latest advancements in AI and analytics, and apply innovative techniques to enhance our capabilities.
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 Performance Monitoring: Monitor and evaluate the performance of AI models and continuously improve them based on feedback and new data.
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 Documentation and Reporting: Document processes, methodologies, and results, and present findings to stakeholders.
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 Education: Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
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 Experience: Minimum of 3 years of experience in AI, generative AI, and analytics.
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Data Science - Lead

<div>
 
 Introduction
 
 
 
 In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
 
 
 
 Your Role And Responsibilities
 
 
 
 As an Infrastructure Specialist at IBM, you will support the infrastructure running industries likes transportation, energy, insurance, banking, or healthcare which are rapidly changing as the worlds relationship with technology evolves. Ready to help our clients take the next step forward
 
 
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 In this role, your responsibilities may include:
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 Conduct working sessions with clients to gather, understand, and analyze business requirements. Sound understanding of Workday implementation methodology
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 Design and implement requirements in the Workday Absence Management solution.
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 Work with clients to help convert legacy data into Workday and assist clients in testing the Workday solution
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 Provide subject matter expertise on key business process decisions related to industry and/or Workday functional areas
 
 
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 Preferred Education
 
 
 
 Master's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
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 Candidate must have implementation Experience in Workday Absence&amp; Time Tracking
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 Workday Certification in Core HR and Absence and Time Tracking.
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 Sound understanding of Workday implementation methodology.
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 Experience with HR Software Implementation
 
 
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 Preferred Technical And Professional Experience
 
 
 
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 Should have good communication skills.
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 Should have strong analytical and conceptual skills
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Package Consultant-Workday Absence, Time Tracking, Payroll

NTT DATA North America

<div>
 
 Req ID:
 
 351807
 
 
 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
 
 
 We are currently seeking a Software Development Analyst to join our team in Bangalore, Karn&amacr;taka (IN-KA), India (IN).
 
 
 We are seeking a versatile Low-Code/No-Code Developer to design, build, and deploy applications using visual development platforms, accelerating our digital initiatives and solving business problems faster. This role combines technical skills with creative problem-solving, focusing on rapid application development with minimal traditional coding.
 
 
 Experience &ndash; 3-6 years
 
 
 
 Key Responsibilities
 
 
 
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 Design, develop, test, and deploy applications using LCNC platforms (e.g., OutSystems, Mendix, Power Platform, Bubble, FlutterFlow).
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 Collaborate with business stakeholders to understand requirements and translate them into efficient digital solutions.
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 Build workflows, automations, and user interfaces through visual tools and drag-and-drop interfaces.
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 Maintain, support, and enhance existing applications, ensuring performance and scalability.
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 Explore and integrate new LCNC tools and technologies to improve development processes.
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 Manage the lifecycle of applications from concept to deployment and beyond, acting as a bridge between business and tech.
 
 
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 Required Skills &amp; Qualifications
 
 
 
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 Proven experience with one or more LCNC platforms (specify tools like Power Apps, OutSystems, Mendix, Bubble, etc.).
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 Strong understanding of business processes and ability to translate needs into technical solutions.
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 Familiarity with basic coding concepts (HTML, CSS, JavaScript) is a plus for low-code customization.
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 Excellent communication and collaboration skills.
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 Problem-solving and analytical thinking.
 
 
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 Nice to Have
 
 
 
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 Experience with API integrations.
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 Understanding of UI/UX principles.
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 Familiarity with agile development methodologies.
 
 
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 Location: Bengaluru
 
 
 
 About NTT DATA
 
 
 
 NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&amp;D.
 
 
 Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client&rsquo;s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
 
 
 
 
 NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us.
 
 
 
 
 This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
 
 
</div>

Software Development Analyst

Cognizant

<div>
 The Senior Associate will execute big data analytics, visualization and automation for audits, key risk indicators (KRI) projects and process improvements.
 
 
 
 Responsibilities
 
 
 
 The Senior Associate supports the Data Analytics team by proposing relevant analytics procedures and tools, executing the analytics, developing dashboards and building AI tools for audits, key risk indicators and automation initiatives.
 
 
 
 The Responsibilities Include &ndash;
 
 
 
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 Understanding audit or project objectives and assist in preparing the analytics execution plan and timelines.
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 Working with Corporate Functions/Business Units/IA teams for gathering requirements for KRI projects.
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 Working with IA audit teams to understand the analytics requirements for audit engagements.
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 To determine appropriate analytics tool or platform, design the visuals and independently build pilot or prototype to meet project objectives.
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 Build AI and Gen AI tools to achieve process efficiencies.
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 Establishing and maintaining relationships with all key stakeholders of Internal Audit.
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 Taking an active role in developing and driving Internal Audit Data Analytics quality, coaching audit team members on analytics tools and knowledge sharing to enhance the value provided to Internal Audit stakeholders.
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 Ensuring timely and accurate time tracking.
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 Continuously focusing on self-development by attending trainings, seminars and acquiring relevant certifications.
 
 
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 </ul>
 
 Required Skills And Experience
 
 
 
 <ul>
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 Bachelor&rsquo;s degree, preferably in Computer Science, Data Analytics, Statistics, Engineering or Business Management.
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 At least 3 years of experience in data analytics, visualization and automation.
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 Proficient in data management tools for example, Access/Excel, VBA, ACL, IDEA, SQL, SPSS, R, Python etc.
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 Expertise in visualization tools like Qlik View, Power BI, Tableau etc.
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 Experience in Machine Learning and AI/Gen AI tools is preferred.
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 Basic understanding of financial processes (Accounts payable, Payroll, Travel and Expenses etc.) is desirable.
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 Team person, keen learner, motivated.
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 Excellent verbal and written communication.
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 Highest professional standards, integrity and ethical behavior.
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 </ul>
</div>

Senior Associate - Data Analytics

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