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

senior associate - data analytics Jobs in Bangalore

senior associate - data analytics

data science lead

Infosys

<div>
 <ul>
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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.
 </li>
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 Experience: Minimum of 3 years of experience in AI, generative AI, and analytics.
 </li>
 </ul>
</div>

Data Science - Lead

<div>
 5 &ndash; 10 years of Python data engineering experience
 
 
 <ul>
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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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 </ul>
</div>

Consultant - Business Consulting (Data Science/Engg)

Blue Yonder

<div>
 
 Overview &amp; Scope
 
 
 
 <ul>
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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.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Do
 
 
 
 <ul>
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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
 
 
 
 <ul>
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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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 </ul>
 
 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

Amazon

<div>
 
 Description
 
 
 
 The Transportation Specialist acts as the primary interface between Amazon and our external stakeholder partners such as carriers/transporters, so to our partners- you ARE Amazon. A Trans Rep at RO facilitates flow of information between different stakeholders (Carriers/Hubs/Warehouses) and resolves any potential issues that impacts customer experience and business continuity. The specialists are expected to identify concerns and work on troubleshooting delivery partner issues and provide process improvement suggestions.
 
 
 The Transportation Specialist provides timely resolution to the issue in hand by researching and querying internal tools and by taking real-time decisions. An ideal candidate should be able to understand the requirements/be able to analyze data and notice trends and be able to drive Customer Experience without compromising on time. The candidate should have the basic understanding of Logistics and should be able to communicate clearly in the written and oral form. The Specialist should be able to ideate process improvements and should have the zeal to drive them to conclusion. Since they are responsible for the shift performance, they lead a team of L2&rsquo;s in the shift and would need to display leadership skills to help drive outcomes.
 
 
 Key job responsibilities
 
 
 
 Responsibilities Include, But Are Not Limited To
 
 
 
 Communication with external customers (Carriers, Vendors/Suppliers) and internal customers (Business, Planning, Fulfillment Centers, Sort Centres, Delivery stations etc) for adhoc/cancellations/delays or any other disruptions in the transportation network.
 
 
 Must be able to systematically escalate problems or variance in the information and data to the relevant owners and teams and follow through on the resolutions to ensure they are delivered.
 
 
 Ability to pull data from numerous databases (using Excel, Access, SQL and/or other data management systems) and to perform ad hoc reporting and analysis as needed is a plus. Develop and/or understand performance metrics to assist with driving business results.
 
 
 Effectively communicate in a clear and professional manner at all times and must be able to quickly understand the business impact of the trends and make decisions that make sense based on available data.
 
 
 Demonstrate excellent time-management skills by providing real-time customer experience by working in fast paced operating environment. Work within various time constraints to meet critical business needs, while measuring and identifying activities performed.
 
 
 Excellent communication, both verbal and written as one may be required to create a narrative outlining weekly findings.
 
 
 
 About The Team
 
 
 
 RO (Relay Operations) team is the central command and control center for &lsquo;Transportation Execution&rsquo; across the Amazon Supply Chain network supporting India operations. The team deals with the Amazon supply chain network right from First Mile till the Last Mile Delivery Stations. In case of any exceptions, RO steps in to resolve the issue and keeps all the stakeholders informed of the proceedings. Along with tactical problem-solving, team is also charged with understanding trends in network exceptions and then automating processes or proposing process changes to streamline operations. This second aspect involves network monitoring and analysis of network data
 
 
 
 Basic Qualifications
 
 
 
 <ul>
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 Bachelor's degree in a quantitative/technical field such as computer science, engineering, statistics
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
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 Experience with MS Office, in particular MS Excel
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 Experience with SQL
 
 
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 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - ASSPL - Andhra Pradesh - E88
 
 
 Job ID: A3141031
</div>

Transportation Specialist

American Express

<div>
 
 
 At American Express, our culture is built on a 175-year history of innovation, shared
 
 
 values
 
 
 and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
 
 
 
 
 Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
 
 
 
 
 
 How will you make an impact in this role?
 
 
 
 As part of your job , you will be part of the team leading transformation and modernization of Big Data to Public Cloud GCP.
 
 
 Minimum Qualifications:
 
 
 
 Bachelor&rsquo;s degree in computer science, Computer Science Engineering, or related field required; advanced degree preferred.
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 2+ years of large-scale technology engineering and formal management in a complex environment and/or comparable experience.
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 Successful engineering and deployment of enterprise-grade technology products in an Agile environment.
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 Large scale software product engineering experience with contemporary tools and delivery methods
 
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 </ul>
 in a complex environment (i.e. DevOps, CD/CI, Agile, etc.).
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 2+ years of experience in a hands-on engineering in Java and data/distributed eco-system.
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 To be successful in this role you will need to be a subject-matter guide in GCP, Biq Query, DataProc Services, SQL
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 Ability to see the big picture with attention given to critical details.
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 Experience with variety of non-functional and functional testing practices demonstrating extensive scale of data, business logic.
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 </ul>
 
 
 Preferred Qualifications:
 
 
 <ul>
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 Proficient experience hands- on in GCP
 
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 </ul>
 
 We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
 
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 Competitive base salaries&nbsp;
 
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 Bonus incentives&nbsp;
 
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 Support for financial-well-being and retirement&nbsp;
 
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 Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)&nbsp;
 
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 Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need&nbsp;
 
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 Generous paid parental leave policies (depending on your location)&nbsp;
 
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 Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)&nbsp;
 
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 Free and confidential counseling support through our Healthy Minds program&nbsp;
 
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 Career development and training opportunities
 
 
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 </ul>
 
 American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. &nbsp;
 
 
 
 
 Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
 
</div>

Data Engineer I

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;
 
 
 
 <ul>
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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.
 
 
 </li>
 </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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 <li>
 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

<div>
 
 Job Summary
 
 
 
 We are seeking a detail oriented and data driven Marketing Campaign Operations Lead to support multi market industry campaigns in EMEA This role is critical in ensuring operational excellence across campaign planning execution and performance tracking The ideal candidate will bring expertise in budget management lead tracking ROI analysis and partner reporting to help drive marketing efficiency and business impact
 
 
 
 Responsibilities
 
 
 
 <ul>
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 Campaign Operations and Execution
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 Support the planning and execution of multi-market integrated marketing campaigns
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 Oversee campaign setup across marketing automation and CRM platforms
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 Budget and Channel Management
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 Own campaign budget tracking and reconciliation across markets and channels
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 Ensure budget allocations align with campaign goals and business priorities
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 Recommend optimal channel mix based on performance data and audience insights
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 <li>
 Performance Analytics and Reporting
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 Monitor and analyses campaign performance across key metrics including leads conversions and ROI
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 Develop and maintain dashboards and reports for campaign performance and lead status
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 <li>
 Track marketing influenced pipeline and provide actionable insights to stakeholders
 </li>
 <li>
 Stakeholder Collaboration
 </li>
 <li>
 Collaborate with EMEA Industry marketing team to track campaign performance lead status and reporting
 </li>
 <li>
 Work closely with External Agencies MarTech and Digital Media teams to align on goals and execution
 </li>
 <li>
 Ensure consistent reporting standards and data integrity across all campaign efforts
 </li>
 </ul>
</div>

Marketing Campaign Operations Manager

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