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data engineer-business intelligence

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senior data scientist

YASH Technologies

<div>
 
 
 Job Overview:
 
 
 
 
 
 
 
 Experience Required:
 
 6+ Years
 
 
 
 Location:
 
 Indore, Pune, Bangalore, Hyderabad
 
 
 
 
 
 
 We are looking for a Sr. Data Scientist to join our team of researchers, data scientists, and developers. You will work on cutting-edge AI solutions across industries such as commerce, agriculture, insurance, financial markets, and procurement. Your role involves developing and optimizing machine learning and generative AI models to solve real-world challenges.
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Develop and optimize and lead
 
 ML, NLP, Deep Learning, and Generative AI
 
 model/projects.
 </li>
 <li>
 Research and implement state-of-the-art algorithms for supervised and unsupervised learning.
 </li>
 <li>
 Work with large-scale datasets in distributed environments.
 </li>
 <li>
 Understand business processes to select and apply the best ML approaches.
 </li>
 <li>
 Ensure scalability and performance of ML solutions.
 </li>
 <li>
 Collaborate with cross-functional teams, including product owners, designers, and developers.
 </li>
 <li>
 Solve complex data integration and deployment challenges.
 </li>
 <li>
 Communicate results effectively using data visualization.
 </li>
 <li>
 Work in global teams across different time zones.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience:
 
 
 
 
 
 <ul>
 <li>
 Strong experience in
 
 Machine Learning, Deep Learning, NLP, and Generative AI.
 
 </li>
 <li>
 Hands-on expertise in frameworks like
 
 TensorFlow, PyTorch, or Hugging Face Transformers.
 
 </li>
 <li>
 Experience with
 
 LLMs (Large Language Models), model fine-tuning, and prompt engineering.
 
 </li>
 <li>
 Proficiency in
 
 Python
 
 , R, or Scala for ML development.
 </li>
 <li>
 Knowledge of
 
 cloud-based ML platforms (AWS, Azure, GCP).
 
 </li>
 <li>
 Ability to scale ML models from prototypes to production.
 </li>
 <li>
 Strong analytical and problem-solving skills.
 </li>
 </ul>
 
 
 
 
 
 If you&rsquo;re passionate about pushing the boundaries of ML and GenAI, we&rsquo;d love to hear from you!
 
 
</div>

Senior Data Scientist

<div>
 Data Scientist
 
 
 Company:** BP Business Sol (HC)
 
 
 
 Job Summary
 
 
 
 We are seeking a highly skilled and analytical Data Scientist to join our team. In this role, you will leverage data to drive strategic business decisions, identify opportunities for improvement, and contribute to the commercial success of BP Business Sol (HC).
 
 
 Job Responsibilities
 
 
 <ul>
 <li>
 Apply advanced analytical techniques and statistical modeling to extract meaningful insights from complex datasets.
 </li>
 <li>
 Develop and implement predictive models and machine learning algorithms to solve business challenges.
 </li>
 <li>
 Utilize LLM capabilities to build and solve complex business problems.
 </li>
 <li>
 Develop AI assets using Gen AI and Agentic AI framework. Utilize and maintain the existing assets.
 </li>
 <li>
 Design and create compelling data visualizations and interpretations to effectively communicate findings to diverse stakeholders.
 </li>
 <li>
 Collaborate with various business units to understand their needs and translate them into data-driven solutions.
 </li>
 <li>
 Contribute to the identification and assurance of commercial opportunities and risks.
 </li>
 <li>
 Proactively identify areas for digital automation to improve efficiency and data quality.
 </li>
 <li>
 Support financial reporting and analysis through data-driven insights.
 </li>
 <li>
 Manage and contribute to data-related projects, ensuring timely delivery and successful outcomes.
 </li>
 <li>
 Maintain a strong customer-centric approach, ensuring data solutions address user needs and improve their experience.
 </li>
 <li>
 Engage in continuous learning and application of agility core practices in project execution.
 
 
 </li>
 </ul>
 
 Job Qualifications
 
 
 
 <ul>
 <li>
 Proven experience in a Data Scientist role, demonstrating strong analytical thinking and problem-solving abilities.
 </li>
 <li>
 Strong expertise in Python programming, Databricks and SQL.
 </li>
 <li>
 Understanding of Microsoft Azure environment and various services.
 </li>
 <li>
 Expertise in Gen AI and Agentic AI frameworks such as Langchain, Langgraph, Llamaindex etc.
 </li>
 <li>
 Proven experience in building Gen AI application.
 </li>
 <li>
 Expertise in data visualization and interpretation, with the ability to convey complex information clearly and concisely.
 </li>
 <li>
 Experience with commercial assurance for external partnerships and projects.
 </li>
 <li>
 Excellent communication and influencing skills, capable of presenting findings to technical and non-technical audiences.
 </li>
 <li>
 Demonstrated creativity and innovation in approaching data challenges and developing novel solutions.
 </li>
 <li>
 Familiarity with Digital Automation tools and techniques.
 </li>
 <li>
 Knowledge of Financial Reporting principles and practices.
 </li>
 <li>
 Experience with Project Management methodologies.
 </li>
 <li>
 Strong understanding and application of Risk Management principles in data-driven projects.
 </li>
 <li>
 Ability to work effectively in an agile environment, demonstrating adaptability and a collaborative spirit.
 </li>
 <li>
 Customer-centric thinking with a focus on delivering value to internal and external stakeholders.
 </li>
 <li>
 Experience in Credit Management is a plus.
 </li>
 </ul>
</div>

Data scientist

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

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

Keyrus

<div>
 
 
 The Role:&nbsp;
 
 
 
 
 Keyrus is seeking a&nbsp;
 
 
 Senior Data Engineer &amp; Data Scientist
 
 
 to design, build, and optimise cloud-native data platforms in Azure. You will work across modern data architectures, build scalable data solutions, and collaborate with multidisciplinary teams to drive data excellence and platform innovation.
 
 
 
 <ul>
 <li>
 
 Location:
 
 Hybrid &ndash; Pune, India (3 days onsite)
 </li>
 <li>
 
 Target Start:
 
 January 2026
 </li>
 <li>
 
 Compensation:
 
 ₹30,00,000 &ndash; ₹42,00,000 INR
 </li>
 </ul>
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 
 Data Engineering
 
 </li>
 <li>
 Design, build, and optimise
 
 cloud-native ingestion, transformation, and enrichment pipelines
 
 using Azure (ADF, Databricks, Synapse).
 </li>
 <li>
 Implement
 
 data joins, validation frameworks, profiling, and quality checks
 
 to ensure analytics-ready datasets.
 </li>
 <li>
 Engineer
 
 scalable feature pipelines
 
 and reusable data products for advanced analytics and ML workloads.
 </li>
 <li>
 Maintain data quality, lineage, and metadata in collaboration with Data Governance teams.
 </li>
 <li>
 Contribute to automated deployment workflows using
 
 DevOps/CI/CD
 
 , GitHub Actions, Terraform, and related tools.
 </li>
 <li>
 
 Data Science
 
 </li>
 <li>
 Perform
 
 end-to-end Exploratory Data Analysis (EDA)
 
 to identify trends, anomalies, and insights.
 </li>
 <li>
 Build, validate, and deploy
 
 machine learning models
 
 (supervised and unsupervised).
 </li>
 <li>
 Develop
 
 feature engineering logic
 
 , model training pipelines, and performance monitoring processes.
 </li>
 <li>
 Work with business and technical stakeholders to define analytical problems and deliver data-driven solutions.
 </li>
 <li>
 Communicate analytical insights and model outcomes to technical and non-technical audiences.
 </li>
 <li>
 
 Analytics &amp; Visualisation
 
 </li>
 <li>
 Build dashboards and analytical visuals using
 
 Power BI, Tableau
 
 , or similar tools.
 </li>
 <li>
 Present data findings and insights in a clear, accessible narrative.
 </li>
 </ul>
 
 
 
 
 
 What we're looking for in our applicants:&nbsp;
 
 
 <ul>
 <li>
 
 10+ years
 
 of hands-on experience in data engineering within enterprise or cloud-native environments.
 </li>
 <li>
 Proven experience building
 
 production-grade data pipelines
 
 on Azure (Azure Data Factory, Databricks, Synapse, or equivalent).
 </li>
 <li>
 Strong proficiency in
 
 Python
 
 for data engineering, automation, and pipeline development.
 </li>
 <li>
 Deep understanding of
 
 data lake/data warehouse architectures
 
 and modern data platform patterns.
 </li>
 <li>
 Extensive experience with
 
 data migration
 
 , integration of distributed data sources, and handling large-scale datasets.
 </li>
 <li>
 Skilled in
 
 DevOps/CI/CD
 
 , Agile delivery, and automated deployment workflows.
 </li>
 <li>
 Experience collaborating with Data Governance, Cloud Engineering, and Product teams.
 </li>
 <li>
 Previous experience with
 
 Snowflake
 
 is a plus.
 </li>
 <li>
 Excellent communication skills with the ability to articulate complex technical concepts clearly.
 </li>
 </ul>
 
 
 
 
 
 Why Keyrus?
 
 
 
 Joining Keyrus means joining a market leader in the Data Intelligence field and an (inter)national player in Management Consultancy and Digital Experience.
 
 
 You will be part of a young and ever learning enterprise with an established international network of thought leading professionals driven by bridging the gap between innovation and business. You get the opportunity to meet specialised and professional consultants in a multicultural ecosystem.
 
 
 Keyrus gives you the opportunity to showcase your talents and potential, to build up experience through working with our&nbsp;clients, with the opportunity to grow depending on your capabilities and affinities, in a great working and dynamic atmosphere.&nbsp;
 
 
 
 
</div>

Senior Data Engineer & Data Scientist

Michelin

<div>
 - - - - - - - - - - - -
 
 
 
 KEY EXPECTED ACHIEVEMENTS
 
 
 
 <ul>
 <li>
 The master data governance rules are applied in local context
 </li>
 <li>
 Data in information systems are updated and compliant with Group and/or Local requirements
 </li>
 <li>
 Non-qualities are detected and corrected (accuracy, exhaustiveness, obsolescence and consistency of data)
 </li>
 <li>
 Data quality control is continuously improved
 </li>
 <li>
 Root causes of non quality of Data are identified, analyzed and an action plan is in place for resolution
 </li>
 <li>
 Best practices are formalized and shared through the Data Administration Network
 
 
 </li>
 </ul>
 
 Data and data quality management
 
 
 
 <ul>
 <li>
 Applies methods and practices to manage the full life cycle of data from creation or acquisition to disposal
 </li>
 <li>
 Verifies accuracy and consistency of collected data before entering them in the information system
 </li>
 <li>
 Analyses impact on others processes and coordinate actions
 </li>
 <li>
 Ensures that data providers respect the data processing procedures and alerts them in the event of non correct data.
 </li>
 <li>
 Enters/updates data, ensuring data compliance and appropriate security protection
 </li>
 <li>
 Identifies rejections, manages the correction in the information system.
 </li>
 <li>
 Control the quality of data, according to the defined framework (standards, instructions&hellip;.)
 </li>
 <li>
 Conducts data cleaning to rid the system of old, unused data, duplicate or incorrect data
 
 
 </li>
 </ul>
 
 Problem solving and continuous improvement
 
 
 
 <ul>
 <li>
 Contributes to continuous improvement to enhance data management and quality
 </li>
 <li>
 Analyses problems and issues
 </li>
 <li>
 Manages resolutions and corrective actions or escalade if relevant
 </li>
 <li>
 Guides others in using data and associated information system
 </li>
 <li>
 Requests for data quality rules evolution in order to improve non-quality detection
 </li>
 <li>
 Recommends and steer action plan to improve data quality
 </li>
 </ul>
</div>

Senior Executive - Data Management

Birlasoft

<div>
 
 
 Senior Full stack Developer 7+ years
 
 
 
 
 
 
 Location: Mumbai, Noida, Pune, Hyderabad, Bangalore, Chennai and Coimbatore.
 
 
 
 
 
 Required all skills described on section Required Skills.
 
 <ul>
 <li>
 more than 5 years of experience in application development
 </li>
 <li>
 more than 3 years of experience with cloud development
 </li>
 </ul>
 
 
 
 
 Tasks and Responsibilities
 
 
 General DMP developer tasks and Responsibilities
 
 
 
 
 
 
 Required Skills
 
 
 <ul>
 <li>
 Experienced with C# and .NET Core
 </li>
 <li>
 Experienced with databases (SQL Server, Cosmos DB, Azure Data Explorer preferred) and Entity Framework
 </li>
 <li>
 Advanced English
 </li>
 <li>
 Experience in agile development
 </li>
 <li>
 Experience in software testing: unit, integration, contract, end to end
 </li>
 <li>
 Knowledge and experience in cloud development (Helm, Terraform/Terragrunt, Azure Stream Analytics, queuing concepts (Azure Service Bus, Azure EventHub) included)
 </li>
 <li>
 Experience in Azure Components
 </li>
 <li>
 Frontend experience in:
 </li>
 <li>
 Angular 16+
 </li>
 <li>
 PrimeNG, PrimeFlex, NgRx (@ngrx/core, @ngrx/effects, @ngrx-translate/core, ExJS, TypeScript)
 </li>
 <li>
 Frontend testing automation experience (e.g. Selenium or Cypress)
 </li>
 <li>
 SignalR would be plus
 </li>
 </ul>
 
 
 
 
 
 Soft Skills
 
 
 
 
 
 <ul>
 <li>
 Experienced in agile software development practices
 </li>
 <li>
 End-to-end thinking during implementation
 </li>
 <li>
 Team spirit, willing to share the knowledge and experience
 </li>
 <li>
 Shared responsibility for the result of each sprint within the development team
 </li>
 </ul>
 
 
 
 
 
 Technologies
 
 
 
 
 
 <ul>
 <li>
 Stream Analytics
 </li>
 <li>
 Azure Functions
 </li>
 <li>
 Azure IoT Hub
 </li>
 <li>
 Azure Event Hub
 </li>
 <li>
 Data Azure Explorer
 </li>
 <li>
 Azure Data Factory
 </li>
 <li>
 Kubernetes
 </li>
 <li>
 API management
 </li>
 <li>
 Terraform/Terragrunt
 </li>
 <li>
 Helm
 </li>
 <li>
 Angular
 </li>
 <li>
 .NET Core
 </li>
 </ul>
 
 
</div>

Full Stack Engineer

Tata Consultancy Services

<div>
 
 
 About the Company
 
 
 
 The Data Insights Analyst leverages advanced analytical techniques to transform complex data into actionable business insights. This role partners closely with stakeholders to drive strategic initiatives, optimize processes, and support data-driven decision-making across the organization.
 
 
 
 
 
 
 About the Role
 
 
 
 This role involves gathering, cleaning, and integrating data from diverse sources to ensure high data quality and conducting in-depth data analysis to identify trends, patterns, and root causes.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Gather, clean, and integrate data from diverse sources to ensure high data quality.
 </li>
 <li>
 Conduct in-depth data analysis to identify trends, patterns, and root causes.
 </li>
 <li>
 Translate analytical findings into clear, actionable business recommendations.
 </li>
 <li>
 Develop and maintain interactive dashboards, reports, and visualizations for various business units.
 </li>
 <li>
 Collaborate with cross-functional teams to understand business challenges and deliver tailored insights.
 </li>
 <li>
 Present complex data insights to both technical and non-technical audiences, adapting communication style as needed.
 </li>
 <li>
 Proactively identify opportunities for process improvement and innovation using data-driven approaches.
 </li>
 <li>
 Ensure data governance, accuracy, and compliance with organizational and regulatory standards.
 </li>
 <li>
 Mentor and guide junior analysts, fostering a culture of continuous learning and knowledge sharing.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in data science, Statistics, Computer Science, Economics, or a related field.
 </li>
 <li>
 3&ndash;5 years of experience in data analysis, business intelligence, or a similar insights-driven role.
 </li>
 <li>
 Experience in developing business insights and presenting to senior stakeholders is highly desirable.
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 <ul>
 <li>
 Advanced proficiency in SQL, Excel, and data visualization tools (e.g., Power BI, Tableau).
 </li>
 <li>
 Strong understanding of statistical analysis, data modeling, and predictive analytics.
 </li>
 <li>
 Experience with data tools and scripting languages (e.g., Python, R) preferred.
 </li>
 <li>
 Ability to work with large, complex datasets and extract meaningful insights.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills
 
 
 <ul>
 <li>
 Effective Communication: Able to clearly articulate complex data findings and recommendations to diverse audiences.
 </li>
 <li>
 Collaboration &amp; Teamwork: Works well in cross-functional teams, values diverse perspectives, and builds strong working relationships.
 </li>
 <li>
 Problem-Solving: Demonstrates critical thinking and creativity in addressing business challenges.
 </li>
 <li>
 Initiative &amp; Ownership: Proactively identifies opportunities, takes accountability for deliverables, and drives projects to completion.
 </li>
 <li>
 Adaptability: Thrives in a fast-paced, changing environment and quickly adapts to new tools and business needs.
 </li>
 <li>
 Stakeholder Management: Builds trust with stakeholders, understands their needs, and delivers value-added insights.
 </li>
 <li>
 Leadership: Mentors peers, leads by example, and contributes to a positive, high-performance team culture.
 </li>
 <li>
 Emotional Intelligence: Demonstrates self-awareness, empathy, and resilience in interactions with colleagues and stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Equal Opportunity Statement
 
 
 
 We are committed to diversity and inclusivity in our hiring practices.
 
 
 
</div>

Data Insights Analyst

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