212 Data Wrangling Jobs

As an innovative and highly skilled AI/ML Specialist, your role will involve designing, developing, and deploying advanced machine learning and artificial intelligence solutions to tackle complex business challenges. You should have expertise in machine learning algorithms, deep learning frameworks, and AI model deployment, along with the ability to work with large datasets to deliver impactful, scalable solutions. **Key Responsibilities:** - Design, develop, and optimize machine learning and deep learning models for various use cases. - Collect, preprocess, and analyze structured and unstructured datasets to prepare them for model training. - Select appropriate algorithms and techniques based on problem requirements and business objectives. - Build end-to-end AI/ML pipelines, including data ingestion, feature engineering, model training, evaluation, and deployment. - Implement and optimize models using frameworks like TensorFlow, PyTorch, Keras, or Scikit-learn. - Deploy models into production environments using cloud platforms (AWS SageMaker, Azure ML, GCP AI Platform) or on-premises solutions. - Monitor, maintain, and retrain models to ensure long-term accuracy and performance. - Collaborate with cross-functional teams to integrate AI/ML solutions into products and workflows. - Stay updated with the latest advancements in AI, ML, NLP, and computer vision to drive innovation. **Required Technical Skills:** - Strong programming skills in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). - Solid understanding of ML algorithms (supervised, unsupervised, reinforcement learning) and deep learning architectures (CNNs, RNNs, Transformers). - Experience with NLP frameworks (Hugging Face, SpaCy, NLTK) and/or Computer Vision libraries (OpenCV, YOLO, Detectron). - Proficiency in data wrangling and feature engineering for high-quality datasets. - Knowledge of model deployment strategies using APIs, containers (Docker), and orchestration tools (Kubernetes). - Familiarity with big data tools (Spark, Hadoop) for large-scale data processing. - Understanding of MLOps practices, CI/CD pipelines, and model monitoring tools. **Preferred Qualifications:** - Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field. - Experience in domain-specific AI (healthcare, finance, manufacturing, etc.). - Exposure to generative AI models (LLMs, Stable Diffusion, GPT-based systems). - Understanding of data privacy and AI ethics. As an AI/ML Specialist, you should exhibit strong problem-solving and analytical skills, excellent communication and presentation abilities, and the ability to work collaboratively in cross-functional teams. A passion for continuous learning and innovation will be key to success in this role.,

You are a strategic thinker passionate about driving solutions in BI and Analytics (Alteryx, SQL, Tableau), and you have found the right team. As a BI Developer Senior Associate within the Asset and Wealth Management Finance Transformation and Analytics team, you will spend each day defining, refining, and delivering set goals for our firm. **Key Responsibilities:** - Design the technical and information architecture for the MIS (DataMarts) and Reporting Environments. - Focus on data modeling and database design for the AWM LOB. - Support the MIS team in query optimization, and deployment of BI technologies including but not limited to Alteryx, Tableau, Databricks, MS SQL Server (T SQL programming) /SSIS and SSRS. - Design and develop complex dashboards from large and/or different data sets. - Scope, prioritize and coordinate activities with the product owners. - Partner with technology teams to identify solutions required to establish a robust MIS environment. - Design and develop complex queries which cater to data inputs for the dashboards/reports from large data sets. - Work on the agile improvements by sharing experiences and knowledge with the team. Advocate and steer the team to implement CI/CD (DevOps) workflow. - Overall, the ideal candidate for this position will be highly skilled in reporting methodologies, data manipulation & analytics tools and have expertise in the visualization and presentation of enterprise data. **Qualifications Required:** - Bachelor's Degree in MIS, Computer Science, or Engineering. Different fields of study, with significant professional experience in BI Development, are acceptable. - 12+ years of experience in Data warehousing, ETL, and visualization. - Strong work experience in data wrangling tools like Alteryx. - Working proficiency in Data Visualization Tools. Experience with BI technologies including Alteryx, Tableau, MS SQL Server (SSIS, SSRS), Databricks, ThoughtSpot. - Working knowledge of querying data from databases such as MS SQL Server, Snowflake, Databricks, etc. - Strong knowledge of designing database architecture and building scalable visualization solutions. Ability to write complicated yet efficient SQL queries and stored procedures. - Experience in building end-to-end ETL processes. - Experience in working with multiple data sources and handling large volumes of data. - Experience in the conversion of data into information. - Experience in the end-to-end implementation of Business Intelligence (BI) reports & dashboards. - Good communication and analytical skills. The job description does not provide any additional details about the company.,

Role Overview: As a Senior Manager Product Tooling & Data (Data Focused) in the Group Investment Management (GIM) Team at London Stock Exchange Group (LSEG), your primary responsibility will be to interpret and utilize data science and analytics to support the team in predicting and managing programme execution risks. Your role will involve developing machine learning models and early warning indicators to identify and mitigate delivery risks across a multi-million-pound change portfolio. By transforming complex programme data into predictive insights, you will drive strategic investment decisions and contribute to fostering a culture of delivery excellence and transparency within the organization. Key Responsibilities: - Lead the design and implementation of machine learning models to predict programme delivery risks and financial overruns. - Integrate insights into existing dashboards and visualizations to effectively communicate with senior leadership and ensure actionable and trackable risk metrics. - Collaborate with senior stakeholders to understand data needs and translate them into technical solutions. - Conduct data cleaning, preprocessing, and integration from multiple sources, including internal databases and APIs. - Contribute to the development of Group-wide delivery framework and assurance standards. - Stay updated with advancements in AI/ML and apply them to enhance risk prediction and decision-making. - Support the annual investment planning process through data-driven analysis and scenario planning. Qualifications Required: - Proficiency in Python or R, with experience in libraries such as scikit-learn, TensorFlow, or similar. - Experience in LLM prompt engineering for feature extraction from unstructured data. - Strong SQL and data wrangling skills, including experience with ETL processes. - Solid understanding of statistical analysis and hypothesis testing. - Experience in building and deploying machine learning models in a business context. - Ability to communicate technical insights to non-technical audiences using visualization tools like Tableau and matplotlib. - Familiarity with fine-tuning small LLM models for automating topic extraction from unstructured data. - Knowledge of cloud platforms, especially AWS Bedrock and Snowflake data platform. - Experience with enterprise programme management tools like Clarity, Asana, and JIRA. - Familiarity with SAP ERP and Workday systems data. - Experience in financial services or programme delivery environments. - Strong communication and collaboration skills. - Self-starter with the ability to manage multiple priorities in a fast-paced environment. - Commitment to continuous learning and innovation. [Note: Additional details about the company's values and purpose have been omitted from the Job Description as they are not directly related to the role.] ,

You will be responsible for designing and implementing complex technical system architectures that meet business requirements aligned with strategic goals and organizational IT standards. You will collaborate closely with cross-functional teams such as project managers, developers, engineers, DevOps, security, and operations to bring solutions to life. As both a technical subject matter expert and strategic advisor, your role will ensure that solutions are scalable, resilient, secure, efficient, and cost-effective. - **Solution Design & Architecture**: - Create and implement end-to-end cloud-based technology solutions that meet business and IT requirements, focusing on functionality, scalability, integration, performance, and cost-effectiveness. - Develop architecture solutions including system design, data flow, integration patterns aligned with well-architected principles and standards. - Document detailed solution blueprints, architecture decisions, and design specifications. - **Hands-On Development and Implementations**: - Actively participate in hands-on development alongside developers, contributing to system design, debugging, testing, and collaborating with the DevOps team to set up environments and implement architected solutions. - Utilize modern frameworks, cloud technologies, and containerization tools (e.g., Kubernetes, Docker) for building and deploying applications in lower environments. - **Technology Strategy and Innovation**: - Stay updated on the latest technologies, trends, and methodologies. - Incorporate relevant innovations into solutions to support the organization's long-term strategy. - Identify and evaluate new tools and technologies to enhance development processes and system performance. - **Integration and Scalability**: - Design and implement integrated solutions to ensure seamless flow between systems, both internal and external. - Ensure architectural decisions enable scalable, resilient, performant, and cost-effective designs. - **Quality Assurance and Standard Processes**: - Present solution designs and implementations to the Design Authority for review and approval to ensure adherence to required quality standards. - Ensure solutions follow established development and architectural standard methodologies. - **Security, Compliance, and Risk**: - Ensure solution designs meet industry security standards and compliance requirements. - Collaborate with the security team to conduct risk assessments and provide mitigation strategies for solution resilience and security. - **Documentation and Reporting**: - Document architecture designs, decisions, and configurations clearly and accessibly. - Provide regular reports on the status of architecture efforts and solution implementations to leadership and partners. - Collaborate with the Ops team for operational readiness documentation. **Essential Skills, Qualifications & Experience**: - Bachelor's or master's degree in Computer Science, Engineering, Information Technology, or related field preferred. - 5+ years of hands-on experience in software development, solution architecture, or related technical roles. - Proven experience in designing, building, and deploying large-scale systems or applications. - Strong experience with cloud platforms (AWS, Azure, GCP) and cloud-native architecture. - Proficiency in multiple programming languages such as Python, R, Java, JavaScript, or Scala. - Familiarity with containerization technologies (Kubernetes, Docker) and infrastructure as code (Terraform, CloudFormation). - Knowledge of data storage solutions (SQL/NoSQL databases, data lakes) and data processing frameworks. - Experience with AI platforms (Azure AI, Google AI, AWS AI) and understanding of ethical AI practices and data privacy is a plus. - Strong problem-solving skills, ability to work in a team, and present technical concepts to both technical and non-technical partners. Please note that the additional details of the company have been omitted from the final job description as per your request.,

Join our Team About this opportunity: Take Your Career Beyond the Ordinary Welcome to GO Beyond, Ericsson's flagship early-career development program designed to accelerate the careers of professionals with 2-4 years of experience. This permanent role blends deep technical ownership with strategic visibility, including a six-month secondment to another business unit to expand your cross-functional understanding and influence. Shape the Future of AI Join our diverse, forward-thinking high Impact AI team to develop domain-specific Large Language Models (LLMs) that unlock insights from compliance data (internal policies, trade regulations, and security protocols). If you're excited about transforming raw data into intelligent systems, this is your chance to make a mark at a global tech leader. Why Join Us Impact: Shape the future of compliance AI at a global tech leader. Innovation: Work with cutting-edge LLMs and modern AI tools, not legacy systems. Growth: Access global mentorship, internal certifications, and opportunities to grow into roles like Lead AI Engineer, AI Product Owner, or AI Architect. Culture: Join a collaborative, innovative-first team that values your voice and energy. What you will do: Build and fine-tune LLMs for compliance use cases, starting with internal compliance and expanding to trade and security domains. Design and implement Retrieval-Augmented Generation (RAG) pipelines and embedding models. Collaborate with data engineers and compliance SMEs to create robust training pipelines. Deliver a Minimum Viable Product (MVP) for internal compliance search within 6 months. Shape the roadmap for future LLMs across Ericsson's business functions. Engage in daily coding, model training, stand-ups, sprint planning, and occasional demo presentations. The skills you bring: 1-3 years of experience in Machine Learning (ML) or Natural Language Processing (NLP) (professional, academic, or personal projects). Strong Python proficiency (NumPy, Pandas, PyTorch, or TensorFlow). Exposure to LLMs, transformers, or embeddings (e.g., Hugging Face, academic work). Familiarity with data wrangling and vector databases (e.g., FAISS, Pinecone). Passion for experimentation, prototyping, and rapid iteration. Good-to-Have Skills: Experience with LangChain, RAG architectures, or LLMOps. Knowledge of compliance, regulatory tech, or security domains. Familiarity with MLOps tools like MLflow or Weights & Biases. Hands-on experience building or fine-tuning chatbots or transformer-based models. A Unique Development Opportunity As part of Ericsson's GO Beyond program, this permanent role includes a 6-month secondment to another Global Functions team. This secondment offers you exposure to a new area of the business (e.g., finance, operations, or Enterprise IT), expanding your internal network and cross-functional insights, while maintaining your primary role (when you return back) and progression within the Enterprise IT. This is a career-defining opportunity to step into a high-visibility, business-critical area of Ericsson and contribute meaningfully from day one.,

As a professional in the field of Artificial Intelligence and Machine Learning, you will be responsible for handling and analyzing large volumes of structured and unstructured data. Your role will involve collecting, preprocessing, and ensuring the quality, integrity, and compliance of the data with industry standards. In addition, you will design, build, and implement AI/ML models to automate tasks, derive actionable insights, and facilitate intelligent decision-making processes. Your expertise will be utilized in developing end-to-end AI pipelines, starting from data ingestion to model deployment and monitoring, using technologies such as Python, TensorFlow, PyTorch, Scikit-learn, and NLP libraries. You will provide advisory and support for AI applications within the organization, offering strategic guidance on the utilization of AI in daily operations. Collaboration with stakeholders to identify AI opportunities and support digital transformation initiatives will be a key aspect of your role. It is essential to ensure that AI systems are scalable, explainable, and aligned with the organization's business goals. To excel in this position, you should hold a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field. A minimum of 3 to 7 years of relevant industry experience in AI/ML development and data science is required. Proficiency in machine learning, deep learning, NLP, and AI model lifecycle management is essential. A strong analytical mindset, coupled with practical experience in data wrangling, visualization, and storytelling, will be beneficial. Effective communication of technical concepts to non-technical stakeholders is crucial. Familiarity with cloud-based AI platforms such as AWS, GCP, or Azure is considered advantageous. As a preferred candidate, you should be self-motivated with a keen interest in solving complex problems. Being a team player who can also work independently when necessary is highly valued. An eagerness to stay abreast of emerging trends in AI and data science will contribute to your success in this role.,

About The Role Skill required: Data Management - Structured Query Language (SQL) Designation: Data Eng, Mgmt & Governance Sr Analyst Qualifications: BE/BTech Years of Experience: 5 to 8 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 worlds 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? Were Accenture Marketing Operations. Were the global managed services arm of Accenture Interactive. We sit in the Operations Business to take advantage of the industrialized run capabilities leveraging investments from Accenture Operations.Our quest is to activate the best experiences on the planet by driving value across every customer interaction to maximize marketing performance. We combine deep functional and technical expertise to future-proof our clients business while accelerating time-to-market and operating efficiently at scale.We are digital professionals committed to providing innovative, end-to-end customer experience solutions focusing on operating marketing models that help businesses transform and excel in the new world, with an ecosystem that empowers our clients to implement the changes necessary to support the transformation of their businesses.Domain-specific language used in programming and designed for querying and modifying data and managing databases. What are we looking for? Data Engineering 5+ y ears of relevant experience Data collation, analysis, and reporting capability Expert in GCP, SQL, Excel Create metadata, pipelines for analytics Ability to mentor and guide team members Good understanding of database concepts Prior experience of handling large volumes of data for Adhoc analysis and standard business reporting, data wrangling Developing pipelines and deploying jobs in production e.g. using Airflow Excellent verbal and written communication Strong team player and excellent problem-solving skills Ability to work in a global collaborative team environment Attention to detail and ability to work in high pressure environment Experience with Python Experience in CPG, Retail, Beauty Previous experience of BI tools (e.g. Looker or Tableau or Power BI) Roles and Responsibilities: Build/Maintain logical, physical, and semantic data models that support marketing KPIs, campaign reporting, attribution, segmentation, and personalization Build/Maintain scalable schemas, data marts, and analytical layers optimized for performance in BI and analytics applications Maintain metadata standards, data catalogs, and documentation to ensure data traceability and discoverability Lead efforts to ingest, standardize, and harmonize data from multiple marketing sources Ensure compliance with data privacy regulations (e.g., GDPR, CCPA) and define access controls and security models for sensitive customer data Perform bug diagnosis and fix Qualification BE,BTech

About The Role Project Role : Data Insights & Visualization Practition Project Role Description : Create interactive interfaces that enable humans to understand, interpret, and communicate complex data and insights. Wrangle, analyze, and prepare data to ensure delivery of relevant, consistent, timely, and actionable insights. Leverage modern business intelligence, storytelling, and web-based visualization tools to create interactive dashboards, reports and emerging VIS/BI artifacts. Use and customize (Gen)AI and AI-powered VIS/BI capabilities to enable a dialog with data. Must have skills : Data Analytics Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Insights & Visualization Practitioner, your typical day involves creating interactive interfaces that facilitate the understanding and communication of complex data and insights. You will engage in data wrangling, analysis, and preparation to ensure the delivery of relevant, consistent, timely, and actionable insights. Your role will also include leveraging modern business intelligence and storytelling techniques, along with web-based visualization tools, to develop interactive dashboards and reports. Additionally, you will utilize and customize generative artificial intelligence and AI-powered visualization capabilities to foster a dialog with data, enhancing the overall data experience for users. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate training sessions to enhance team members' understanding of data visualization tools and techniques.- Develop and maintain documentation for processes and best practices related to data insights and visualization. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Analytics.- Good To Have Skills: Experience with data visualization tools such as Tableau or Power BI.- Strong understanding of data wrangling techniques to prepare data for analysis.- Experience in creating interactive dashboards and reports that effectively communicate insights.- Familiarity with generative artificial intelligence and its application in data visualization. Additional Information:- The candidate should have minimum 12 years of experience in Data Analytics.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Skill required: Delivery - Data Wrangling Designation: I&F Decision Sci Practitioner Sr Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 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 worlds 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, Song, Technology, Industry X and Operations services all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 800,000 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.In todays business environment, growth isnt just about building value - it s fundamental to long-term business survival. So how do organizations sustain themselves? The key is a new operating modelone that s anchored around the customer and propelled by intelligence to deliver outstanding experiences across the enterprise at speed and at scale. You will deliver breakthrough business outcomes for clientsby harnessing talent, data and intelligence to redefine their operating models.Design, develop, and adapt data wrangling tools & techniques to explore, transform, map & discover data patterns, and garner business insights. It is the process of transforming and mapping data from one raw data form into another format. What are we looking for? Marketing Data Wrangler 4 + years designing and implementing large scale data loading, manipulation, processing solutions Experience working in CPG/Retail/Beauty industries High proficiency in data integration package High proficiency in Snowflake/GCP Experience in streaming integration development Cloud development experience (e.g., AWS, Azure) Strong proficiency in SQL Able to design and implement relational data models Good understanding of DevOps and Agile way of working Eagerness to contribute to a team-oriented environment Ability to work creatively and analytically in a problem-solving environment Excellent leadership, communication (written and oral) and interpersonal skills Roles and Responsibilities: Work in interdisciplinary teams that combine technical, business, visualization, and data science competencies Design and implement solutions around data warehouse implementation ranging from architecture, ETL processes, multidimensional modelling, and data marts implementation Integrate datasets and dataflows using a variety of best-in-class software as well as profile and analyze large and complex datasets from disparate sources Develop scheduling scripts or configure load schedules Design and run unit tests Perform bug diagnosis and fix Migrate code between development and test environments Participate in support of the development environment Self-started who can adapt to change in technology independently Qualification Any Graduation

Description: Year of Exp- 10-15 Yrs Skills- AL.ML, Python, Cloud Requirements: Job Title: AI Software Developer Experience: 12+ Years Work Location: Pune [Wanowarie] Job Summary: We are seeking a highly experienced and innovative AI Software Developer with over 10 years of hands-on experience in designing, developing, and deploying AI-driven solutions. The ideal candidate will have a strong background in Python, AI/ML, automation frameworks, and cloud platforms (AWS, Azure, or GCP), along with a solid understanding of networking, data analysis, and debugging. Experience working with various AI models and platforms such as OpenAI, Azure AI, Grok, and building real-world AI use cases like Chatbots, MCP, and AI-powered mobile apps is essential. Key Responsibilities: Architect, develop, and deploy scalable AI/ML solutions for enterprise-grade applications. Perform advanced data analysis to support model training and business insights. Design and implement AI use cases such as Chatbots, MCP, and AI-powered mobile applications. Integrate AI solutions with cloud platforms (AWS, Azure, GCP) for deployment and scalability. Collaborate with cross-functional teams including Leaders, DevOps, and product managers. Evaluate and experiment with different AI models and APIs (e.g., OpenAI, Azure AI, Grok). Develop and integrate frontend and backend applications to support AI systems. Ensure robust networking and data flow between distributed systems and services. Apply strong debugging skills to troubleshoot and optimize AI systems. Build and maintain automation frameworks to support AI workflows and testing. Stay up to date with the latest trends and advancements in AI/ML and cloud technologies. Must-Have Skills: Programming: Expert in Python and related AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Good to have knowledge of NodeJS , FastAPI, Ruby AI/ML: Proven experience in building, training, and deploying machine learning models. Automation: Strong experience in developing and maintaining automation frameworks. Data Analysis: Proficient in data wrangling, visualization, and statistical analysis. Cloud Platforms: Hands-on experience with AWS, Azure, or GCP. Networking: Solid understanding of networking concepts and protocols. AI Tools & Models: Experience with OpenAI, Azure AI, Grok, and other modern AI platforms. Use Case Development: Experience in developing AI use cases like Chatbots, MCP, and mobile apps. Application Development: Good knowledge of building frontend and backend applications. Debugging: Strong debugging and troubleshooting skills. Domain Expertise: Familiarity with WLAN, Wired Networking, Video Processing, and Image Analysis. Education: Bachelor of Engineering (B.E) or Master of Engineering (M.E) in Computer Science, Information Technology, Artificial Intelligence, or related fields. Preferred Qualifications: Experience with containerization and orchestration tools (Docker, Kubernetes). Familiarity with MLOps practices and tools. Excellent problem-solving and communication skills. Contributions to open-source AI projects or published research. Job Responsibilities: Job Title: AI Software Developer Experience: 12+ Years Work Location: Pune [Wanowarie] Job Summary: We are seeking a highly experienced and innovative AI Software Developer with over 10 years of hands-on experience in designing, developing, and deploying AI-driven solutions. The ideal candidate will have a strong background in Python, AI/ML, automation frameworks, and cloud platforms (AWS, Azure, or GCP), along with a solid understanding of networking, data analysis, and debugging. Experience working with various AI models and platforms such as OpenAI, Azure AI, Grok, and building real-world AI use cases like Chatbots, MCP, and AI-powered mobile apps is essential. Key Responsibilities: Architect, develop, and deploy scalable AI/ML solutions for enterprise-grade applications. Perform advanced data analysis to support model training and business insights. Design and implement AI use cases such as Chatbots, MCP, and AI-powered mobile applications. Integrate AI solutions with cloud platforms (AWS, Azure, GCP) for deployment and scalability. Collaborate with cross-functional teams including Leaders, DevOps, and product managers. Evaluate and experiment with different AI models and APIs (e.g., OpenAI, Azure AI, Grok). Develop and integrate frontend and backend applications to support AI systems. Ensure robust networking and data flow between distributed systems and services. Apply strong debugging skills to troubleshoot and optimize AI systems. Build and maintain automation frameworks to support AI workflows and testing. Stay up to date with the latest trends and advancements in AI/ML and cloud technologies. Must-Have Skills: Programming: Expert in Python and related AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Good to have knowledge of NodeJS , FastAPI, Ruby AI/ML: Proven experience in building, training, and deploying machine learning models. Automation: Strong experience in developing and maintaining automation frameworks. Data Analysis: Proficient in data wrangling, visualization, and statistical analysis. Cloud Platforms: Hands-on experience with AWS, Azure, or GCP. Networking: Solid understanding of networking concepts and protocols. AI Tools & Models: Experience with OpenAI, Azure AI, Grok, and other modern AI platforms. Use Case Development: Experience in developing AI use cases like Chatbots, MCP, and mobile apps. Application Development: Good knowledge of building frontend and backend applications. Debugging: Strong debugging and troubleshooting skills. Domain Expertise: Familiarity with WLAN, Wired Networking, Video Processing, and Image Analysis. Education: Bachelor of Engineering (B.E) or Master of Engineering (M.E) in Computer Science, Information Technology, Artificial Intelligence, or related fields. Preferred Qualifications: Experience with containerization and orchestration tools (Docker, Kubernetes). Familiarity with MLOps practices and tools. Excellent problem-solving and communication skills. Contributions to open-source AI projects or published research. What We Offer: Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them. Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities! Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays. Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings. Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses. Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!

As an AI Intern at our company located in Kochi, you will have the opportunity to be a part of our Data Science & AI team. This hands-on internship is specifically tailored for students or recent graduates who are eager to apply their academic knowledge in the practical realm of AI and data-driven projects. Throughout this internship, you will be exposed to real datasets, engage in the development of machine learning models, and work with generative AI tools. Your main responsibilities will include assisting in data collection, cleaning, and pre-processing, performing Exploratory Data Analysis (EDA) to derive actionable insights, contributing to the development and evaluation of machine learning models, engaging in tasks related to data mining and association rule mining, as well as participating in the optimization and performance tuning of ML models. Additionally, you will have the chance to explore generative AI technologies, such as tools like ChatGPT. It is crucial to document processes, results, and your learning experiences throughout the duration of the internship. Collaboration with data scientists, product teams, and developers will also be a key aspect of your role. The ideal candidate for this position would be someone who is pursuing or has recently completed a degree in Computer Science, Data Science, AI, or a related field. Hands-on project experience in areas such as data analysis, association rule mining, EDA, data science pipeline and model building, optimization algorithms, and generative AI would be highly beneficial. Proficiency in Python and familiarity with libraries like Pandas, NumPy, Scikit-learn, Matplotlib, and TensorFlow or PyTorch are essential. The ability to effectively communicate findings to both technical and non-technical stakeholders is also a valuable skill to possess. Furthermore, experience with large language models (LLMs) such as OpenAI's ChatGPT or similar tools, knowledge of cloud platforms like AWS, GCP, or Azure, and exposure to MLOps tools or workflows would be considered a bonus. Please note that this is a paid internship opportunity where you will be able to enhance your skills in machine learning model development, exploratory data analysis, data wrangling, optimization algorithms, association rule mining, data science, TensorFlow, PyTorch, generative AI, data analysis, NumPy, Matplotlib, Python, Scikit-learn, Pandas, and more.,

We are seeking a highly skilled and experienced Data Scientist Project Trainer to join our team in Hyderabad. The ideal candidate will possess proficiency in end-to-end project execution, documentation, and training. As a trainer, your responsibilities will include designing, developing, and delivering real-world data science projects while creating comprehensive documentation and executable files. In terms of project development and execution, you will be tasked with designing and developing real-time data science projects that cover all phases of the data science lifecycle. Your role will involve executing projects from data collection to model deployment with meticulous documentation to ensure completeness. Additionally, you will need to deliver hands-on training sessions on data science concepts, tools, and technologies, guiding students and professionals in project implementation and complex problem-solving. Your duties will also involve creating detailed project documentation, including problem statements, methodologies, code explanations, and outcomes. You will be responsible for developing training materials, presentations, and case studies related to various data science topics. It is essential to stay updated with emerging trends and tools in data science and AI/ML to create and execute new projects aligned with industry requirements. To be successful in this role, you must possess strong knowledge of Data Science, Machine Learning, Deep Learning, and AI, along with proficiency in Python, R, SQL, and data visualization tools. Hands-on experience with ML/DL frameworks like TensorFlow, PyTorch, and Scikit-Learn is crucial. Expertise in data wrangling, feature engineering, model building, deployment, and working with real-time projects and large datasets is required. Exceptional communication and presentation skills are essential, and prior experience in training or mentoring is preferred. Ideally, candidates should hold a Bachelors/Masters degree in Data Science, Computer Science, Statistics, or a related field, with a minimum of 2-6 years of industry experience in Data Science & AI. Prior experience as a trainer in a corporate or educational setting would be advantageous. This is a Full-Time position based in Hyderabad. If you are passionate about teaching, project development, and mentoring future data scientists, we invite you to apply for this exciting opportunity by sending an email to naseeruddin.m@excelr.com.,

You will be responsible for conducting Exploratory Data Analysis (EDA) and data wrangling to clean, process, and visualize large datasets. Your primary task will involve developing and implementing Machine Learning models for demand forecasting using Python. Additionally, you will work on feature engineering to enhance model accuracy and performance. Handling time-series data processing for efficient forecasting will be a crucial part of your role. Collaborating with cross-functional teams is essential to deliver actionable insights from data analysis. You will utilize Excel for basic data manipulation tasks like pivoting, creating formulas (e.g., VLOOKUP, SUMIF), and performing aggregation functions. Working with SQL to query databases and write complex queries with JOIN, GROUP BY, WHERE clauses, and subqueries is a part of your daily responsibilities. Your main objective will be to provide solutions and insights for business forecasting within project timelines. Architecting and building end-to-end machine learning solutions, which include data extraction, feature engineering, model development, validation, deployment, and monitoring, based on statistical analysis, are critical aspects of the role. Developing and maintaining robust MLOps pipelines to automate and scale model deployment to ensure workflow reliability is also part of your duties. Applying statistical techniques such as hypothesis testing, A/B testing, and regression analysis to validate models and enhance decision-making are necessary. Your ability to translate complex business problems into analytical solutions using statistical reasoning and provide expert guidance on data science use cases will be valuable. Qualifications: Education: You should hold a Master's degree in Statistics, Mathematics, Computer Science, Data Science, or a related field. A PhD is preferred. Experience: A minimum of 7 years of experience as a Data Scientist or in a related role is required. Technical Skills: - Proficiency in Python and R programming languages - Experience with machine learning libraries like scikit-learn, TensorFlow, and PyTorch - Familiarity with data visualization libraries such as matplotlib, seaborn, and Tableau - Knowledge of big data technologies including Hadoop, Spark, and SQL - Experience with cloud computing platforms like AWS, Azure, or GCP is preferred Preferred Skills: - Experience with natural language processing (NLP) and deep learning techniques - Proficiency in time series analysis and forecasting - Knowledge of data mining and predictive modeling - Strong communication and presentation skills - Experience with Agile development methodologies Please note that the above qualifications and skills are essential for excelling in this position.,

As a Data Analyst Trainee (Remote) at our forward-thinking tech company, you will have the opportunity to work with experienced data analysts and contribute to transforming data into actionable insights. Your role will involve collecting, cleaning, analyzing, and reporting on data from various sources, allowing you to enhance your analytical skills and make meaningful contributions to real business outcomes. Responsibilities will include assisting in data collection, cleaning, and preprocessing, performing data analysis to identify trends and patterns, creating and maintaining dashboards and reports, developing basic data models, and supporting exploratory data analysis efforts. Additionally, you will collaborate with team members to identify key performance indicators and business metrics, visualize data through graphs and charts, and maintain data quality standards. To qualify for this role, you should be pursuing or have recently completed a degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Basic knowledge of data analysis tools and languages such as Excel, SQL, Python, or R is required, along with a strong analytical mindset and attention to detail. Familiarity with data visualization tools like Tableau or Power BI is a plus, as well as the ability to work independently and effectively in a remote environment. Strong communication skills and a passion for learning new analytical skills are essential, along with the ability to meet deadlines and present data insights clearly and concisely. Preferred skills that would be advantageous for this role include basic knowledge of statistical analysis and hypothesis testing, experience with data wrangling and cleaning techniques, understanding of data storage systems like relational databases, familiarity with machine learning concepts or algorithms, and proficiency in web development frameworks, databases, REST APIs, and front-end technologies. If you are eager to develop your skills in data analysis, collaborate with a talented team, and contribute to innovative solutions, we encourage you to apply for the Data Analyst Trainee position with our remote team.,

You are a highly driven and analytical Quantitative Researcher with a strong foundation in mathematics, statistics, and market microstructure. Your passion lies in high-frequency trading (HFT), statistical arbitrage, and innovative alpha discovery in both decentralized and centralized digital asset markets. You have hands-on experience in developing and testing trading strategies and possess a deep understanding of order book dynamics, risk modeling, and ML techniques grounded in sound statistical reasoning. Your responsibilities include researching, designing, and implementing quantitative trading strategies in crypto markets using statistical and machine learning models. You will conduct alpha research, signal generation, and strategy backtesting using large-scale historical tick/order book data. Additionally, you will develop and apply statistical arbitrage techniques across multiple crypto assets and exchanges, model market microstructure phenomena, and perform rigorous data analysis and hypothesis testing to validate trading ideas. Collaboration with engineering teams to deploy strategies in production environments with low-latency constraints is crucial. You will continuously monitor and improve model performance using real-time and historical data, while staying updated on the latest developments in DeFi, crypto trading infrastructure, and quantitative finance research. You hold a Bachelors, Masters, or PhD in Statistics, Mathematics, Physics, Computer Science, or a related quantitative field. Your knowledge spans probability theory, stochastic processes, time series analysis, and optimization. You have proven experience with crypto markets, strong coding skills in Python, C++, or Rust, and familiarity with machine learning techniques rooted in statistical principles. Preferred qualifications include prior experience in a quant fund, HFT firm, or crypto-native trading desk, familiarity with cloud computing, GPU acceleration, or high-performance computing techniques, and exposure to alternative data, chain analytics, or DeFi protocols. A strong understanding of execution cost modeling, slippage, and latency optimization is also beneficial. In return, you will have the opportunity to work at the frontier of quantitative research and crypto innovation. You will be part of a collaborative and intellectually stimulating environment that encourages research autonomy and creativity. Competitive compensation including base salary, performance-based bonuses, and token/equity incentives will be provided, along with access to cutting-edge datasets, infrastructure, and computing resources.,

You are seeking a Senior Data Scientist (ML Engineer) with 8 to 12 years of experience for a Data Science project based in Bangalore/Hyderabad/Pune/Gurgaon/Chennai. The ideal candidate should possess key skills in ML Engineer, Pyspark, and Azure/GCP, or be willing to learn and work on MLOps. As a Senior Data Scientist (ML Engineer), you will be responsible for designing and optimizing ML models and data pipelines, translating business problems into data science solutions, validating OKRs against statistical measures, leveraging advanced analytical tools for insight generation, and collaborating across teams to solve complex business challenges. Strong communication skills, technical decision-making abilities, proficiency in Excel VBA and Data Storytelling, as well as a high level of data literacy and curiosity are essential for this role. Familiarity with Azure and GCP App Engine is a plus. The ideal candidate should be a tech-savvy, hands-on professional with experience in GCP and/or Azure, capable of working on advanced Spark pipelines and optimizing ML workflows.,

About The Role Project Role : Data Insights & Visualization Practition Project Role Description : Create interactive interfaces that enable humans to understand, interpret, and communicate complex data and insights. Wrangle, analyze, and prepare data to ensure delivery of relevant, consistent, timely, and actionable insights. Leverage modern business intelligence, storytelling, and web-based visualization tools to create interactive dashboards, reports and emerging VIS/BI artifacts. Use and customize (Gen)AI and AI-powered VIS/BI capabilities to enable a dialog with data. Must have skills : Data Analytics Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Insights & Visualization Practitioner, you will engage in the creation of interactive interfaces that facilitate the understanding, interpretation, and communication of complex data and insights. Your typical day will involve wrangling, analyzing, and preparing data to ensure the delivery of relevant, consistent, timely, and actionable insights. You will leverage modern business intelligence, storytelling, and web-based visualization tools to develop interactive dashboards, reports, and emerging visualization and business intelligence artifacts. Additionally, you will utilize and customize generative artificial intelligence and AI-powered visualization and business intelligence capabilities to foster a dialog with data, enhancing the overall data experience for users. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate training sessions to enhance team members' understanding of data visualization tools and techniques.- Develop and maintain documentation for processes and best practices related to data insights and visualization. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Analytics.- Experience with modern business intelligence tools such as Tableau, Power BI, or similar.- Strong understanding of data wrangling techniques to prepare data for analysis.- Ability to create compelling data stories that effectively communicate insights.- Familiarity with generative artificial intelligence and its applications in data visualization. Additional Information:- The candidate should have minimum 12 years of experience in Data Analytics.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Optum's Applied AI team is seeking a detail-oriented and proactive Senior Data Scientist (Core in Data Analysis) with minimum 3-4 years of industry experience to support the development and maintenance of data pipelines that fuel AI/ML initiatives. You will work closely with data engineers and other data scientists to enable large scale data analysis of prior ML inferred data - structured and unstructured clinical datasets. This role blends hands-on data wrangling, transformation logic, and insight generation in a highly collaborative environment. Primary Responsibilities: Collaborate with cross-functional teams - including ML engineers, annotators, and clinical domain experts - to translate business challenges into deployable AI solutions Implement automated data labeling pipelines using techniques like active learning, weak supervision, and human-in-the-loop systems Support the design, development, and maintenance of scalable data pipelines for AI/ML workflows Perform exploratory data analysis (EDA), profiling, and validation on healthcare data to ensure readiness for downstream ML tasks Partner with data scientists to prepare datasets for model training, evaluation, and monitoring Ensure data quality, consistency, and documentation across structured (e.g., EHRs) and unstructured (e.g., scanned PDFs) sources Integrate and monitor data workflows using orchestration tools (e.g., Airflow, Step Functions) Build dashboards or reports to communicate insights, trends, or pipeline health as needed Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor's degree in computer science or adjacent field Advanced degree in a field that emphasizes the use of data science/statistics techniques (e.g., Computer Science, Applied Mathematics, or a field with direct NLP application) 4+ years of experience in Data Science (Core in Data Analysis) to support the development and maintenance of data pipelines that fuel AI/ML initiatives Solid experience in Ms Excel and Version Control using GIT Proficiency in Python (Advanced), SQL(Advanced). Experience in tools like Airflow, Jupyter notebook Cloud Exposure: Basic familiarity with AWS ecosystem Visualization Tools: Power BI, Tableau, or Plotly for dashboarding and reporting Data Quality Monitoring: Experience with tools or techniques for detecting data drift or label inconsistencies Healthcare/NLP Domain Knowledge: Prior work with clinical documents, EMR data, or coding workflows Proven excellent Communication Skills Proven flexibility to provide support during critical business periods Proven ability to interpret and present complex data in various formats Proven positive team player with a drive to learn and contribute to achieving results Willingness to work in varying shifts

We are seeking an experienced Data Scientist with a strong foundation in Python, Machine Learning, and Cloud-based Analytics. You will play a key role in building data-driven energy optimization solutions across buildings and campuses. From time-series analysis to predictive maintenance, youll work on impactful projects that accelerate energy efficiency and sustainability on a global scale. This position is for Chennai Location. Youll Make a Difference By: o Developing cloud-based data science solutions for energy monitoring, forecasting, and optimization . o Designing and implementing ML algorithms for anomaly detection, forecasting, and predictive simulations . o Collaborating with global software engineering teams to integrate AI/ML features into scalable cloud offerings . o Translating complex data into actionable insights through dashboards and business-friendly reports . o Investigating advanced statistical, AI, and machine learning models to solve real-world optimization problems . o Working on large-scale time-series data from IoT sensors and building automation systems . o Ensuring clean, structured, and high-quality data using modern data engineering best practices o Ability to effectively communicate in English, both written and spoken . Youll Win Us Over If You Have: o B.E. / M.Sc. / MCA / B. Tech in Computer Science / Applied Mathematics or related fields with good academic record . o 5 to 8 years of professional software development experience, with a minimum of 3 years in the analytics field (like data science, business intelligence), using professional Python 3.x & libraries oProficiency in Python 3.x and libraries like pandas, NumPy, scikit-learn, PyTorch /TensorFlow, statsmodels . oDeep hands-on experience in machine learning, data mining, and algorithm development . oSolid understanding of time-series modeling, forecasting, and anomaly detection . oWorking knowledge of cloud platforms (preferably AWS) and data lake architectures . oStrong data wrangling, cleaning, and schema design skills . oAbility to effectively communicate in English, both written and spoken . oA collaborative, team-oriented attitude with a proactive mindset . Bonus Points For: Experience with Scala, graph analytics, or handling IoT/sensor data. Hands-on exposure to Angular, JavaScript, or other frontend technologies. Experience working in Agile software environments (scrum, sprint planning, retrospectives). Familiarity with Docker, Kubernetes, and GitLab CI/CD. Knowledge of clean code, TDD, and software integration processes. What Youll Gain: Collaborate with global product teams with 20+ years of technical excellence. Work in a disciplined SAFe Agile environment that values both delivery and work-life balance. Make meaningful contributions to product success in a transparent and empowering culture. Build scalable platforms that support sophisticated modular applications.This role is based in Chennai and is an Individual contributor role. You might be required to visit other locations within India and outside. In return, you'll get the chance to work with teams impacting - and the shape of things to come.

You will be joining a life sciences company that specializes in pharmaceutical regulatory solutions and utilizes AI to address intricate data challenges within specialized fields. As a Machine Learning Engineer, your primary responsibility will be to lead NLP-driven projects and contribute to the development of foundational AI models tailored for domain-specific applications. Your key tasks will involve designing and building machine learning systems in the Pharma Life Science domain, implementing relevant ML algorithms, conducting experiments, and keeping abreast of the latest advancements in the field. Your duties will include developing and refining machine learning models that focus on text analysis, data extraction, and NLP tasks. You will be involved in preprocessing and structuring large datasets to ensure high quality and consistency. Additionally, you will design and deploy efficient data pipelines to manage unstructured and semi-structured data sources effectively. You will collaborate with cross-functional teams to integrate machine learning models into production environments, ensuring their reliability and scalability. Furthermore, you will continuously test, evaluate, and optimize model performance to align with project requirements and user needs. To qualify for this role, you should possess 2-4 years of experience in a related field with a strong background in machine learning, particularly focusing on NLP and text-based data processing. Proficiency in ML frameworks such as PyTorch or TensorFlow, along with experience in NLP libraries like Hugging Face Transformers or SpaCy, is essential. You should have a solid understanding of data wrangling, feature engineering, and preparing datasets for model training. Knowledge of NLP models including BERT, GPT family, Transformers, etc., is required. Hands-on experience in deploying and optimizing machine learning models for production use, familiarity with cloud platforms (AWS, GCP, Azure), and version control systems like Git are important for this role. Strong problem-solving skills, a sense of ownership, and the ability to communicate complex concepts clearly are also key attributes that will contribute to your success in this position.,

As a Data Scientist at our organization, you will leverage your expertise in Python and data science to tackle complex business challenges using advanced analytical techniques. Your primary responsibility will be to design and implement machine learning models that drive strategic decisions by transforming raw data into actionable insights. Collaborating with cross-functional teams, you will play a key role in fostering a data-centric culture and enhancing our analytics capabilities. Key Responsibilities Design, develop, and implement machine learning models to address business needs. Analyze large datasets to extract meaningful insights for strategic decision-making. Conduct exploratory data analysis to identify trends and patterns. Clean and preprocess data to ensure high quality and consistency. Collaborate with cross-functional teams to understand data requirements and project objectives. Create data visualizations to effectively communicate findings. Develop predictive models for future forecasting. Utilize statistical techniques to interpret data and validate results. Monitor and optimize the performance of existing models continuously. Stay updated with industry trends and advancements in data science. Support the deployment of models into production environments. Document processes and methodologies to ensure reproducibility. Mentor junior data scientists and analysts in best practices and methodologies. Participate in data governance and data management efforts. Engage in problem-solving sessions to address data-related challenges effectively. Required Qualifications Master's degree in Data Science, Computer Science, Statistics, or a related field. Minimum of 3 years of experience in a data science or analytics role. Proficiency in Python and its data science libraries (e.g., Pandas, NumPy, SciPy). Strong understanding of machine learning algorithms and principles. Experience with data visualization tools (e.g., Tableau, Matplotlib, Seaborn). Familiarity with big data technologies such as Hadoop or Spark. Working knowledge of SQL and database management systems. Experience in natural language processing (NLP) is a plus. Ability to work collaboratively in a team-oriented environment. Strong problem-solving and analytical thinking skills. Excellent communication and presentation skills. Detail-oriented with a methodical approach to data handling. Experience with cloud platforms (e.g., AWS, Azure) is desirable. Hands-on experience with version control tools (e.g., Git). Ability to adapt to new tools and technologies quickly. Strong project management skills with the ability to prioritize tasks effectively. Skills: python, sql, statistical techniques, statistical modeling, data visualization, data wrangling, data analysis, machine learning, big data technologies, data science, ML, version control, natural language processing, algorithms, cloud platforms,

Role & responsibilities: This role manages a team of data scientists responsible for a portfolio of diagnostic, predictive, and prescriptive analytics projects to support data-driven business decision making. Supports the continuous evolution and strategy of Vanguard's data science capabilities. It also applies advanced data mining techniques and statistical analysis methodologies to identify patterns across large datasets and inform strategic decisions across domains like marketing, supply chain, and economics. Preferred candidate profile: Assists and executes tactical plans to implement Vanguard's data science strategy to increase internal company performance and gain competitive advantage. Manages a team of data scientists responsible for a portfolio of diagnostic, predictive, and prescriptive analytics projects to support data-driven business decision making. Supports the continuous evolution and strategy of Vanguard's data science capabilities. Oversees and engages in deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making. Creates alternative model approaches to assess complex model design and advance future capabilities. Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps. Provides coaching to data scientists. Oversees the execution of large scale analytics projects. Applies significant quality control and risk assessment of the model, methodologies, outputs, and processes for major data science projects. Engages with internal stakeholders to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach. Leads and coaches test design, research design, and model validation. Provides statistical consultation services. Serves as the analytics expert on cross functional teams for large strategic initiatives and contributes to the growth of the Vanguard analytic community. Evaluates new technologies and manages vendors engaged in big data analysis. Designs data mining frameworks and statistical protocols to extract and monitor patterns within high-volume datasets across functional business domains. Applies cutting-edge data science principles and machine learning techniques to create models that support strategic business initiatives across areas like marketing, economics, and operations. Participates in data-driven innovation by contributing to scientific research projects that aim to develop new analytical approaches and expand the organization's data capabilities.

Enphase Energy is a global energy technology company and leading provider of solar, battery, and electric vehicle charging products. Founded in 2006, we transformed the solar industry with our revolutionary microinverter technology, turning sunlight into a safe, reliable, resilient, and scalable source of energy to power lives. Our Enphase Energy System assists individuals in making, using, saving, and selling their own power. We are proud to be one of the fastest-growing and innovative clean energy companies worldwide, with approximately 68 million products installed in over 145 countries. We are currently seeking an Engineer to join our Storage business unit's Data Analytics and Engineering division. We are looking for candidates with a strong technical background in data analytics and related domains, either through experience or education. This entry-level position offers the opportunity to gain valuable knowledge in Data Analysis, Engineering, and Data Science, paving the way for growth into a Data Scientist role and contributing to enhancing the experience of Enphase homeowners, installers, and utilities. As an Engineer at Enphase, you will play a crucial role in: - Assisting in the design and development of data infrastructure, including ETL pipelines, data storage, and data processing systems. - Developing and maintaining data models, data dictionaries, and other documentation related to data infrastructure. - Collaborating with cross-functional teams to understand business requirements and provide data-driven solutions. - Performing data quality checks and implementing monitoring to ensure data accuracy and completeness. - Actively engaging in technology and engineering problem-solving through Data Wrangling, Problem-Solving, and Experimental Design skills. - Taking ownership of significant projects, promoting consensus, closure, and clarity among teams while following agile methods. - Working closely with engineers across the organization, understanding their needs, and proposing solutions. - Setting new standards for sustainable engineering by enhancing best practices and creating world-class documentation, code, testing, and monitoring. Qualifications we are looking for: - B.E/B.Tech in Computer Science or Electrical Engineering from a top-tier college with >70% marks. - Proficiency in multiple data store systems, including relational and NoSQL databases, messaging queues, and Orchestration Frameworks (e.g., Airflow, Oozie). - Polyglot programming skills in at least 2 high-level languages (Java, Ruby, Python, JS, Go, Elixir). - Hands-on experience with fault-tolerant data engineering systems such as Hadoop, HDFS, Cassandra, MongoDB, Spark, etc. - Experience with at least 1 cloud platform (AWS, Microsoft Azure, GCP), preferably AWS. - Previous involvement in product teams, collaborating with engineers and product managers to define and execute data engineering and analytical solutions. - Familiarity with handling large scale, noisy, and unstructured data, with a preference for experience in time series data. - Passion for driving continual improvement initiatives in engineering best practices like coding, testing, and monitoring. - Excellent written and verbal communication skills, including the ability to create detailed technical documents. - Strong team player with the ability to work effectively both in a team setting and individually. - Capability to communicate and collaborate with external teams and stakeholders, with a growth mindset to learn and contribute across different modules or services. - Ability to thrive in a fast-paced environment, with experience in IoT based systems being advantageous. Join us at Enphase Energy and be part of our mission to advance a more sustainable future!,

Join us as a Chief Control Office at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unparalleled customer experiences. You may be assessed on the key critical skills relevant for success in the role, such as experience with MS Office, SQL, Alteryx, Power Tools, Python, and job-specific skill sets. To be successful as an Analyst, you should have experience with: Basic/ Essential Qualifications: - Graduate in any discipline - Experience in Controls, Governance, Reporting, and Risk Management, preferably in a financial services organization - Proficient in MS Office (PPT, Excel, Word & Visio) - Proficient in SQL, Alteryx, and Python - Generating Data Insights and Dashboards from large and diverse data sets - Excellent experience in Tableau, Alteryx, MS Office (i.e. Advanced Excel, PowerPoint) - Automation skills using VBA, PowerQuery, PowerApps, etc. - Experience in using ETL tools - Good understanding of Risk and Control - Excellent communication skills (Verbal and Written) - Good understanding of governance and control frameworks and processes - Highly motivated, business-focused, and forward-thinking - Experience in senior stakeholder management. Ability to manage relationships across multiple disciplines - Self-driven and proactively participates in team initiatives - Demonstrated initiative in identifying and resolving problems Desirable skill sets/ good to have: - Experience in data crunching/analysis, including automation - Experience in handling RDBMS (i.e. SQL/Oracle) - Experience in Python, Data Science, and Data Analytics Tools and Techniques, e.g., MatPlotLib, Data Wrangling, Low Code/No Code environment development, preferably in a large bank on actual use cases - Understanding of Data Management Principles and data governance - Designing and managing SharePoints - Financial Services experience This role will be based out of Pune. Purpose of the role: To design, develop, and consult on the bank's internal controls framework and supporting policies and standards across the organization, ensuring it is robust, effective, and aligned to the bank's overall strategy and risk appetite. Accountabilities: - Identification and analysis of emerging and evolving risks across functions to understand their potential impact and likelihood - Communication of the purpose, structure, and importance of the control framework to all relevant stakeholders, including senior management and audit - Support the development and implementation of the bank's internal controls framework and principles tailored to the bank's specific needs and risk profile, including design, monitoring, and reporting initiatives - Monitoring and maintenance of the control frameworks to ensure compliance and adjust and update as internal and external requirements change - Embedment of the control framework across the bank through cross-collaboration, training sessions, and awareness campaigns, which fosters a culture of knowledge sharing and improvement in risk management and the importance of internal control effectiveness Analyst Expectations: - Perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement - Requires in-depth technical knowledge and experience in the assigned area of expertise - Thorough understanding of the underlying principles and concepts within the area of expertise - Lead and supervise a team, guiding and supporting professional development, allocating work requirements, and coordinating team resources All colleagues are expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship our moral compass, helping us do what we believe is right. They are also expected to demonstrate the Barclays Mindset to Empower, Challenge, and Drive the operating manual for how we behave.,

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. As an AI Engineer at EY, your role involves leading the design, development, and deployment of advanced generative AI models, including large language models (LLMs), to drive innovation and solve complex business challenges. You will oversee the end-to-end data science lifecycle, from data acquisition and preprocessing to model validation and optimization, ensuring best practices and high-quality outcomes. Additionally, you will work on developing and deploying machine learning algorithms, ensuring that models are optimized for performance and scalability. In this position, you will also have the opportunity to mentor and guide junior data scientists, fostering a collaborative environment and promoting knowledge sharing of cutting-edge techniques and tools. Collaboration with cross-functional teams to integrate AI-driven insights into products and services, translating sophisticated models into practical, scalable solutions that drive measurable impact, is a key aspect of this role. Key Responsibilities: - Implementing AI solutions that seamlessly integrate with existing business systems to enhance functionality and user interaction. - Reviewing complex data sets to establish data quality and identifying where data cleansing is required for data remediation. - Designing and implementing data models to manage data within the organization. - Migrating data from one system to another using multiple sources and identifying and implementing storage requirements. - Analyzing the latest trends such as cloud computing and distributed processing, and their applications in business to build industry knowledge. - Peer reviewing models and collaborating with relevant business areas to ensure they are fit for the designed purpose. - Automating essential infrastructure for the data science team. - Staying up-to-date with AI trends and suggesting improvements to existing systems and workflows. Skills and Attributes for Success: - 8+ years of experience in machine learning, large scale data acquisition, transformation, and cleaning, for both structured and unstructured data. - Experience with generative LLM fine-tuning and prompt engineering. - Proficiency in data wrangling, visualization, and modeling in Python. - Experience in ML/NLP algorithms, including supervised and unsupervised learning. - Good knowledge of cloud ecosystems, with preference for experience in Azure. - Experience in machine learning frameworks and tools (e.g., sci-kit-learn, Keras, TensorFlow, MXNet, PyTorch, MLlib). - Strong programming skills in Python. - Experience with tools in distributed computing, GPU, cloud platforms, and Big Data domains (e.g., GCP, AWS, MS Azure, Hadoop, Spark, Databricks) is a plus. - Experience with SQL, Document DBs, and Vector DBs. - Batch Processing - Capability to design an efficient way of processing high volumes of data where a group of transactions is collected over a period. - Data Visualization and storytelling - Capability to assimilate and present data, as well as more advanced visualization techniques. Capability to engage and explain data creating a narrative around data visualization. - Knowledge of containerization platforms like Docker is a plus. - Experience with Git and modern software development workflow. Non-Technical Skills: - Strong team and business communication skills to effectively communicate with technical clients or explain complex concepts to non-technical individuals. - Ability to thrive in a fast-paced environment and work independently. - Excellent communication skills. Education: - Bachelor/Master/PG in Artificial Intelligence, Analytics, Data Science, Computer Science, Engineering, Information Technology, Social Sciences, or related fields preferred. What we look for: - Strong analytical skills and problem-solving ability. - A self-starter, independent-thinker, curious, and creative person with ambition and passion. - Excellent inter-personal, communication, collaboration, and presentation skills. - Customer-focused. - Excellent time management skills. - Positive and constructive mindset. - Takes responsibility for continuous self-learning. - Takes the lead and makes decisions in critical times and tough circumstances. - Attention to detail. - High levels of integrity and honesty. EY | Building a better working world EY exists to build a better working world, helping create long-term value for clients, people, and society while building 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.,