23 Unstructured Data Jobs

As a Senior Machine Learning Engineer at Apple, you will be part of the Information Intelligence team, leading the revolution in how billions of people interact with their devices to search and find information. You will have the opportunity to shape the next generation of Search and Question Answering systems across various Apple products, including Siri, Safari, and Spotlight. Your role will involve leveraging your expertise in Search and applied machine learning, along with strong software engineering skills, to collaborate with a team of exceptional Search and AI engineers. Together, you will work on developing cutting-edge technologies to enhance Query Understanding, Retrieval, and Ranking, paving the way for AI-powered experiences. This will include refining machine learning models, utilizing embeddings and deep learning for match quality assessment, and implementing natural language processing for query comprehension. You will be handling petabytes of data, integrating information from diverse sources, and focusing on delivering accurate results to meet users" information needs effectively. Your contributions will be instrumental in advancing the search capabilities and user experiences across Apple products. Minimum Qualifications: - Possess 10+ years of experience in shipping Search and Question Answering technologies and ML systems - Proficiency in mainstream programming languages like C++, Python, Scala, and Go - Track record of delivering tooling and frameworks for evaluating components and ensuring end-to-end quality - Strong analytical skills to identify opportunities for enhancing search relevance and answer accuracy - Excellent written and verbal communication skills to explain complex topics effectively - Strong interpersonal skills, teamwork, and collaboration capabilities - Demonstrated passion for creating exceptional products and a keen interest in continuous learning Preferred Qualifications: - Background in Search Relevance, Ranking, Question Answering systems, or related areas - Hands-on experience in Retrieval Augmented Generation (RAG) and developing LLMs - Experience in presenting plans, progress, and results concisely - Hold an MS or Ph.D. in AI, Machine Learning, Information Retrieval, Computer Science, Statistics, or a related field If you meet the above qualifications and are excited about contributing to the future of search technology at Apple, we invite you to submit your CV for consideration. Join us in making a difference and shaping the way people access information worldwide.,

You should have at least 5+ years of experience for this role. As a key member of the team, your responsibilities will include scoping, developing, expanding, operating, and maintaining scalable, reliable, and safe generative AI solutions. Your expertise will be crucial in designing and executing engineering experiments to optimize Large Language Models (LLMs) for various use cases. Collaborating with Subject Matter Experts (SMEs) to evaluate prompt effectiveness and align AI solutions with business needs will be an essential part of your role. You will need to understand and apply offline and online evaluation metrics for LLMs to ensure continuous model improvements. Additionally, you will be responsible for evaluating production models using live data, implementing robust monitoring systems in the absence of ground metrics, and monitoring LLM applications for model drift, hallucinations, and performance degradation. Your role will also involve ensuring the smooth integration of LLMs into existing workflows, providing real-time insights, and predictive analytics. For Data Scientists, we are looking for individuals with proven experience in data science, expertise in managing structured and unstructured data, proficiency in statistical techniques, predictive analytics, and reporting results. Experience in applied science in fields like Natural Language Processing (NLP), Machine Learning (ML), Deep Learning (DL), or Multimodal Analysis is preferred. A strong background in software development, data modeling, or data engineering is necessary, along with a deep understanding of building and scaling ML models, specifically LLMs. Familiarity with open-source tools such as PyTorch, statistical analysis, and data visualization tools is a plus, as well as experience with vector databases and graph databases. For AI/ML Engineers, we are seeking candidates with solid experience in business analytics, data science, software development, and data engineering. Expertise in Python and frameworks such as PyTorch, TensorFlow, or ONNX is required. Hands-on experience working with LLMs and Generative AI, including model development and inference patterns, is essential. You should have a proven ability to design scalable systems leveraging LLMs, particularly in distributed computing environments. Preferred skills for this role include experience in prompt engineering and prompt optimization, expertise in running experiments to evaluate generative AI performance, knowledge of production-level monitoring tools for ML models, including drift detection and mitigation strategies, excellent problem-solving skills, and the ability to work cross-functionally with data scientists, engineers, and SMEs. Experience with safety, security, and responsible use of AI, red-teaming (adversarial testing) of generative AI, and developing AI applications with sensitive data such as PHI, PII, and highly confidential data will be an advantage.,

You will be part of Boston Consulting Group, collaborating with leaders in business and society to address critical challenges and seize opportunities. BCG, a pioneer in business strategy since 1963, now specializes in total transformation, facilitating complex change, fostering organizational growth, establishing competitive advantages, and driving bottom-line impact. Success requires a combination of digital and human capabilities, and our diverse global teams offer deep industry knowledge and varied perspectives to instigate change. BCG provides solutions through cutting-edge management consulting, technology and design, corporate and digital ventures, and business purposes. Our collaborative model spans the entire organization, yielding results that empower our clients to prosper. In this role, you will design solution architecture for AI and Gen AI-enabled applications, covering a wide range of functions. This includes architecting solutions for production-grade AI applications like RAG, Call Analytics, Conversational Bots (text and voice), AI agents, and AI-based Search. You will evaluate Agentic AI platforms from hyper-scalers, AI native players, and SaaS providers, integrating them with various systems such as Dialer/Telephony, Chat platforms, Mobile/Digital Apps, and CRM applications. Your responsibilities will also involve designing data platforms for Gen AI, capable of handling unstructured and streaming data in real time across multiple modalities (text, voice, videos, images, etc.). Utilizing Gen AI across SDLC lifecycles to enhance Tech function effectiveness is a key aspect of this role. Additionally, you will design cloud-based AI applications and data architectures for AI applications, leveraging Vector DB, Graph DB, RDS, NoSQL DBs based on diverse use cases. Experience in event-driven architectures, Microservices, and Digital platforms is essential, along with a minimum of 10+ years of overall experience and specific experience in GenAI. Boston Consulting Group is an equal opportunity employer, committed to fostering diversity and inclusion in the workplace.,

The selected intern will be responsible for assisting in the design, orientation, and evaluation of machine learning models, specifically in the areas of NLP (Natural Language Processing) and computer vision. They will be involved in building and optimizing pipelines to extract data from unstructured medical and compliance documents such as PDFs and scanned forms. Additionally, the intern will work with both structured and unstructured datasets to enhance model accuracy and reliability. Furthermore, the intern will be required to support the integration of AI models into production applications, including APIs and dashboards. They will also have the opportunity to conduct experiments and contribute to technical documentation as part of their responsibilities. About the Company: The company is dedicated to transforming healthcare financing in India by providing a unified platform that connects patients, doctors, hospitals, and insurance providers. The platform aims to streamline claims management, expedite claims reimbursement, and offer affordable financing for aesthetic treatments. The company's mission is to empower every Indian to navigate their healthcare journey seamlessly by simplifying and accelerating access to financial support for healthcare expenses through cutting-edge technology.,

You are a senior professional with at least 6+ years of hands-on experience in Python focusing on AI technologies. Your proficiency lies in Python and you have worked with libraries such as NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch. Your expertise includes a solid understanding of machine learning algorithms, model evaluation, and data preprocessing techniques. You have experience dealing with both structured and unstructured data sets. Additionally, you are familiar with version control systems like Git and collaborative development practices. Your strong problem-solving skills enable you to work effectively both independently and as part of a team. Desired Skills: - You have experience in natural language processing (NLP), computer vision, or time-series forecasting. - You are familiar with MLOps tools and practices for model deployment and monitoring. - Your background includes working with Generative AI models such as GPT, LLaMA, or Stable Diffusion. - You have knowledge of prompt engineering, fine-tuning, or embedding techniques for large language models (LLMs). - Hands-on experience with LLM frameworks like LangChain, Haystack, or Transformers (Hugging Face) is a plus. - You understand vector databases (e.g., Postgres, Pinecone) for retrieval-augmented generation (RAG) pipelines. - Any contributions to open-source AI/ML projects or published research would be beneficial. Locations: Hyderabad / Chennai / Bangalore / Pune. If you meet the above criteria and are interested in this opportunity, please share your resume at hr@neev.global or call 9429691736. This is a full-time position that requires you to work in person.,

A career within Actuarial Services will provide you with the opportunity to contribute general insurance advice and consulting services to clients such as insurers, banks, regulators, and third-party administrators. You will provide advice covering solvency, economic capital, risk management, mergers and acquisitions, company restructuring and risk control, financial modeling, underwriting, new legislation, and the efficiency of claims or reporting processes. Your role may involve analyzing the impact that new regulations will have on an insurance company's balance sheet or revising business projections to ensure adequate reserves. To stand out and ensure a successful future in a constantly changing world, each individual at PwC needs to be a purpose-led and values-driven leader at every level. The PwC Professional, our global leadership development framework, sets clear expectations across lines, geographies, and career paths. It emphasizes the skills required for success and career progression in the present and future. **Responsibilities:** As a Senior Associate, working as part of a problem-solving team at PwC, your responsibilities include but are not limited to: - Developing self-awareness, addressing development areas, and leveraging feedback and reflection. - Delegating tasks to provide growth opportunities for others, coaching them to achieve results. - Demonstrating critical thinking and structuring solutions for complex business problems. - Utilizing various tools and techniques to extract insights from industry trends. - Reviewing work for quality, accuracy, and relevance, including that of colleagues. - Making informed decisions on tool usage and explaining the rationale behind choices. - Embracing diverse opportunities to gain exposure to different situations and perspectives. - Communicating effectively and influencing others in a structured manner. - Adapting behavior to build strong relationships and upholding ethical standards. - Contributing to the development of AI solutions, including prompt engineering, retrieval-augmented generation, fine-tuning, and multi-agent systems. - Applying econometric modeling techniques like GLMs, time series analysis, and semi-parametric models. - Using machine learning models such as XGBoost, random forests, and support vector machines. - Ensuring compliance with model-related regulatory requirements during model development, validation, and monitoring. - Proficiency in programming languages like Python, R, Databricks, and React. - Enforcing DevOps best practices including version control, CI/CD, test automation, and collaboration. - Designing, developing, and deploying AI models in real-world client environments. - Monitoring AI trends and supporting project delivery to enhance business processes and decision-making. - Collaborating with cross-functional teams to deliver high-quality solutions aligned with client needs. - Supporting business development efforts and internal GenAI assets to grow the firm's practice. **Qualifications:** **Minimum Educational Qualifications:** - A degree in statistics, mathematics, electrical engineering, physics, econometrics, computer science, or related technical fields. **Credentials - Good To Have:** - A master's degree or PhD in a related field from a premium institute is preferred but not required. **Minimum Years of Experience Requirement (Credential):** - 3-4 years of relevant experience.,

As a Decision Analyst at Barclays, you will play a crucial role in driving innovation and excellence in the digital landscape. Your primary responsibility will be to leverage cutting-edge technology to revolutionize digital offerings, ensuring unparalleled customer experiences. The BUK Decision and Analytics team is dedicated to harnessing the power of data through advanced analytics and data science to drive the performance of the bank. This involves enabling smarter, faster, and more proactive decision-making processes while utilizing information to transform the lives of customers, colleagues, and communities. In this role, you will have the opportunity to work closely with business heads, influencing decision-making through advanced analytics and data science to solve complex business problems. Your success as a Decision Analyst will be dependent on your experience in data mining, building predictive and machine learning models, and understanding machine learning algorithms and their applications. Proficiency in the data science project lifecycle, including use case framing, data exploration, model building, and deployment, along with knowledge of Python and SQL, are essential skills required for this position. Furthermore, possessing strong communication and storytelling skills, as well as problem-solving capabilities, will be highly valued in this role. You will be assessed on essential skills relevant to succeeding in the position, such as risk and controls, change and transformation, business acumen, strategic thinking, and digital and technology expertise. The primary purpose of this role is to design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making. Your key accountabilities will include designing analytics and modeling solutions for complex business problems, collaborating with technology to specify dependencies, developing high-performing solutions, and providing ongoing support to ensure the effectiveness of analytics and models. As an Analyst, you will be expected to perform activities in a timely manner and to a high standard, driving continuous improvement. Depending on the position, you may lead and supervise a team, guide professional development, allocate work requirements, and coordinate team resources. Individuals are also expected to demonstrate a clear set of leadership behaviors or develop technical expertise in their area of expertise. All colleagues are expected to uphold the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as demonstrate the Barclays Mindset of Empower, Challenge, and Drive in their daily interactions and work responsibilities.,

A career within Actuarial Services will provide you with the opportunity to contribute general insurance advice and consulting services to clients such as insurers, banks, regulators, and third-party administrators. You will provide advice covering solvency, economic capital, risk management, mergers and acquisitions, company restructuring and risk control, financial modeling, underwriting, new legislation, and the efficiency of claims or reporting processes. Simply put, you might help analyze the impact that new regulation will have on an insurance company's balance sheet or you could be revising business projections and making sure they have adequate reserves. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this, we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies, and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. Responsibilities As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: - Use feedback and reflection to develop self-awareness, personal strengths, and address development areas. - Delegate to others to provide stretch opportunities, coaching them to deliver results. - Demonstrate critical thinking and the ability to bring order to unstructured problems. - Use a broad range of tools and techniques to extract insights from current industry or sector trends. - Review your work and that of others for quality, accuracy, and relevance. - Know how and when to use tools available for a given situation and can explain the reasons for this choice. - Seek and embrace opportunities that give exposure to different situations, environments, and perspectives. - Use straightforward communication, in a structured way, when influencing and connecting with others. - Able to read situations and modify behavior to build quality relationships. - Uphold the firm's code of ethics and business conduct. - Help contribute to the development of GenAI solutions, including prompt engineering, retrieval-augmented generation (RAG), fine-tuning, AI agents, and multi-agent systems (MAS). - Apply econometric modeling techniques such as generalized linear models (GLMs), time series analysis, and semi-parametric models (e.g., fractional response models). - Utilize machine learning models including XGBoost, random forests, and support vector machines. - During the development, validation, and monitoring of models, ensure compliance with model-related regulatory requirements and standards such as SR 11-7, Colorado SB21-169, NIST, ISO 42001, and the NAIC Model Bulletin. - Experience with programming languages and environments such as Python, R, Databricks, and React. - Enforce DevOps best practices, including version control (Git), CI/CD, test automation, infrastructure as code, system monitoring, and cross-functional collaboration. - Design, develop, and deploy AI models in real-world client and business environments. - Monitor and research emerging AI trends, fostering an agile, forward-looking development environment. - Support project delivery and work with clients to process structured and unstructured data to improve business processes, workflows, and decision-making. - Support the documentation and technical analysis efforts for validators, auditors, and regulators; clearly communicate complex concepts to non-technical stakeholders. - Work with cross-functional teamsdata engineers, architects, and data scientiststo deliver efficient, high-quality solutions aligned with client needs. - Support business development efforts, including the technical sales cycles and the client proposal process. - Support the development of internal GenAI assets and foundational capabilities to grow the firm's practice. Qualifications Minimum Educational Qualifications: A degree in statistics, mathematics, electrical engineering, physics, econometrics, computer science, or another related technical field. Credentials - Good To Have A master's degree or PhD in a related field from a premium institute is preferred but is not required. Min years of Experience Requirement (Credential) - 3-4 years,

You will be responsible for working as an AWS Data Engineer at YASH Technologies. Your role will involve performing tasks related to data collection, processing, storage, and integration. It is essential to have proficiency in data Extract-Transform-Load (ETL) processes, data pipeline setup, as well as knowledge of database and data warehouse technologies on the AWS cloud platform. Prior experience in handling timeseries and unstructured data types, such as image data, is a necessary requirement for this position. Additionally, you should have experience in developing data analytics software on the AWS cloud, either as a full-stack or back-end developer. Skills in software quality assessment, testing, and API integration are also crucial for this role. Working at YASH, you will have the opportunity to build a career in a supportive and inclusive team environment. The company focuses on continuous learning and growth by providing career-oriented skilling models and utilizing technology for upskilling and reskilling activities. You will be part of a Hyperlearning workplace that is grounded on the principles of flexible work arrangements, emotional positivity, self-determination, trust, transparency, open collaboration, and providing support for achieving business goals. YASH Technologies offers stable employment with a great atmosphere and an ethical corporate culture.,

As an Associate Data Architect at Quantiphi, you will be part of a dynamic team that thrives on innovation and growth. Your role will involve designing and delivering big data pipelines for structured and unstructured data across diverse geographies, particularly focusing on assisting healthcare organizations in achieving their business objectives through the utilization of data ingestion technologies, cloud services, and DevOps practices. Your responsibilities will include collaborating with cloud engineers and clients to address large-scale data challenges by creating tools for migration, storage, and processing on Google Cloud. You will be instrumental in crafting cloud migration strategies for both cloud-based and on-premise applications, as well as diagnosing and resolving complex issues within distributed systems to enhance efficiency at scale. In this role, you will have the opportunity to design and implement cutting-edge solutions for data storage and computation for various clients. You will work closely with experts from different domains such as Cloud engineering, Software engineering, and ML engineering to develop platforms and applications that align with the evolving trends in the healthcare sector, including digital diagnosis, AI marketplace, and software as a medical product. Effective communication with cross-functional teams, including Infrastructure, Network, Engineering, DevOps, SiteOps, and cloud customers, will be essential to drive successful project outcomes. Additionally, you will play a key role in building advanced automation tools, monitoring solutions, and data operations frameworks across multiple cloud environments to streamline processes and enhance operational efficiency. A strong understanding of data modeling and governance principles will be crucial for this role, enabling you to contribute meaningfully to the development of scalable and sustainable data architectures. If you thrive in a fast-paced environment that values innovation, collaboration, and continuous learning, then a career as an Associate Data Architect at Quantiphi is the perfect fit for you. Join us and be part of a team of dedicated professionals who are passionate about driving positive change through technology and teamwork.,

Join us as a Decision Analyst at Barclays, where you will spearhead the evolution of the digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionize our digital offerings, ensuring unparalleled customer experiences. The BUK Decision and Analytics team exist to leverage the power of data, using advanced analytics and data science to deliver assets that drive the performance of the bank. This enables smarter, faster, and more proactive decision-making, transforming the lives of customers, colleagues, and communities while protecting the sustainable advantage our data creates. This team offers an opportunity to work directly with business heads and influence decision-making through the use of advanced analytics and data science to solve complex business problems. To be a successful Decision Analyst, you should have experience in data mining and building predictive & machine learning models using both structured and unstructured data. You should have an understanding of machine learning algorithms and their applications, as well as experience in the data science project lifecycle from use case framing to model building and deployment. Knowledge of Python & SQL is also required. Other highly valued skills may include strong communication skills, storytelling abilities, and problem-solving skills. The job location for this role is Noida. Purpose of the role: To extract meaningful insights from complex data sets, develop robust decision models, and present actionable recommendations to stakeholders across departments. Accountabilities: - Identification and extraction of relevant data from various internal and external sources. - Performing sensitivity analysis and scenario planning. - Monitoring and evaluating the performance of existing models. - Developing and implementing data quality control procedures. - Building and validating quantitative models to support decision-making across different business areas. Analyst Expectations: - Meet the needs of stakeholders/customers through specialist advice and support. - Perform prescribed activities in a timely manner and to a high standard. - Likely to have responsibility for specific processes within a team. - Lead and supervise a team, guiding and supporting professional development, allocating work requirements, and coordinating team resources. - For an individual contributor, manage own workload, take responsibility for the implementation of systems and processes within own work area, and participate in broader projects. - Execute work requirements, collaborate with closely related teams, and provide specialist advice and support pertaining to own work area. - Take ownership for managing risk and strengthening controls in relation to own work. - Continually build an understanding of how all teams contribute to broader sub-function objectives. - Develop awareness of underlying principles and concepts in the area of responsibility, building upon expertise. - Make judgements based on practice and previous experience. - Communicate sensitive or difficult information to customers. - Build relationships with stakeholders/customers to identify and address their needs. All colleagues are expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as the Barclays Mindset of Empower, Challenge, and Drive.,

NTT DATA is looking for a Salesforce Developer- Agentforce,Experience cloud to join their team in Pune, Maharashtra (IN-MH), India. As a Senior Salesforce Developer, your responsibilities will include leading the design, development, and implementation of AI-driven solutions using Salesforce Einstein features for Sales & Experience cloud. You will collaborate with architects and AI engineers to design solutions for predictive analytics, customer insights, and automation. Integrating third-party applications and data sources with Salesforce via APIs will be a key aspect of your role. You will work closely with product managers, data scientists, and developers to ensure successful implementation of AI/ML solutions aligned with business goals. This includes implementing automated workflows and intelligent data-driven decision systems within Sales Cloud and Experience Cloud. You will be responsible for designing and developing scalable solutions in Salesforce Agentforce and Experience Cloud environments, building and customizing Lightning components, Apex classes, Visualforce pages, Flows, and APIs to support agent and customer portals. Furthermore, you will design and implement seamless integrations with core systems such as policy administration, claims, billing, and document management via REST/SOAP APIs, middleware (e.g., MuleSoft, Boomi), or event-driven architectures. Developing custom components, templates, and branded sites within Experience Cloud to support self-service and agent experiences will also be part of your responsibilities. Gathering requirements from stakeholders and translating them into technical solutions, maintaining and optimizing data models, sharing rules, and user roles for different Experience Cloud personas, and ensuring best practices in coding, testing, and DevOps deployment strategies are also key aspects of the role. Troubleshooting production issues, providing ongoing support for Salesforce-based applications, participating in Agile ceremonies, and maintaining technical documentation are part of the responsibilities as well. To be successful in this role, you should have 7+ years of overall experience in Salesforce development with at least 2+ years of hands-on experience in Salesforce AI Solutions development. Expertise in Salesforce Einstein AI features, customizing applications using Apex, LWC, Lightning Flows, data modeling, data integration using REST APIs, handling large datasets within Salesforce, machine learning algorithms, Salesforce architecture, NLP, image recognition, sentiment analysis, AI governance, model explainability, data ethics, and leveraging structured and unstructured data for ML and NLP solutions are required qualifications. Preferred skills include Salesforce certifications in Einstein Analytics and Discovery Consultant, Salesforce Platform Developer II, or Salesforce Certified AI Associate, experience in Salesforce Data cloud, Salesforce Agentforce, Apex, Lightning Web Components (LWC), SOQL, Flow Builder, integrating Salesforce with external systems, designing and managing Experience Cloud sites, and Salesforce certifications like Platform Developer I/II, Experience Cloud Consultant, Integration Architecture Designer. Join NTT DATA, a trusted global innovator of business and technology services, and be part of a diverse team committed to helping clients innovate, optimize, and transform for long-term success. Visit us at us.nttdata.com.,

As a Data Collection Agent at Instaworks, your primary responsibility will be to collect, organize, and validate data through the use of various robotics platforms, sensors, and automated tools. By leveraging these technologies, you will play a crucial role in fueling AI models and supporting product development efforts. Your key duties will include operating and managing robotic systems, sensors, and data-gathering devices such as drones, mobile robots, and LiDAR. You will utilize automated data collection platforms to gather structured and unstructured data, including video, audio, and telemetry. Additionally, maintaining detailed logs of collected data, flagging anomalies, ensuring data accuracy and integrity, and following standard operating procedures for data collection in different environments are essential aspects of your role. Furthermore, you will be expected to run diagnostics, perform basic troubleshooting on hardware and software used in data collection, and collaborate closely with engineers and product teams to refine data-gathering strategies. Staying abreast of emerging tools and techniques in robotics-based data acquisition will also be crucial to your success in this position. To excel in this role, you should be comfortable working with automated data logging systems and remote device control interfaces. Strong attention to detail, adherence to structured data collection protocols, a reliable internet connection, and a conducive workspace for remote work are essential requirements. Additionally, your ability to work independently with minimal supervision and troubleshoot issues in real-time will be key to your effectiveness in this role. Joining the Instawork team will provide you with the opportunity to work on high-impact projects involving robotics, automation, and AI. You will have access to the latest tools and technologies in robotics and data collection, within a collaborative and fast-paced environment that offers ample growth opportunities. Instawork, founded in 2015, is the leading online labor marketplace in the nation, connecting over 7 million skilled workers with various industries such as food services, hospitality, light industry, and logistics. Our AI-powered platform supports businesses across more than 50 major markets in the United States and Canada, contributing to local economies and driving growth. If you are a detail-oriented individual with a passion for data collection and a desire to work on groundbreaking projects, consider joining Instawork to be a part of our innovative team shaping the future of work. Visit www.instawork.com/about to learn more and explore how you can make a meaningful impact with us.,

You will be part of our team as a detail-oriented and analytical Data Analyst. Your main responsibilities will include interpreting data, analyzing results using statistical techniques, and providing ongoing reports to support business decisions. To excel in this role, you should have a solid foundation in data analysis, statistical modeling, and visualization, combined with a genuine passion for converting data into actionable insights. Your key responsibilities will involve collecting, processing, and cleaning data from various sources to ensure data quality and integrity. You will conduct data analysis and statistical evaluations to identify trends, patterns, and insights. Additionally, you will create data visualizations and dashboards using tools like Power BI, Tableau, or similar software. Writing clean and efficient code to handle large datasets using Python, R, SQL, etc., will also be a crucial part of your role. Collaborating with cross-functional teams to define and monitor key performance indicators (KPIs) and documenting data analysis processes to communicate findings with stakeholders will also be part of your routine tasks. Furthermore, you will work closely with Data Engineering teams to support data pipeline development and optimization. Your must-have skills for this position include a strong proficiency in data analysis and statistical methods, hands-on experience with data visualization tools like Power BI, Tableau, Matplotlib, Seaborn, proficiency in programming languages such as Python, R, or SQL, understanding of data engineering basics, and the ability to work with structured/unstructured data. You should also possess the ability to interpret data and present it clearly to both technical and non-technical audiences. Good-to-have skills for this role include experience with advanced programming concepts and scripting, familiarity with ETL processes and tools like Apache NiFi, Talend, or Informatica, knowledge of machine learning fundamentals and predictive analytics, exposure to advanced statistical modeling techniques, and experience with cloud platforms (AWS, GCP, Azure) for data handling. To qualify for this position, you should hold a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Data Science, or a related field. This is a full-time job opportunity with health insurance benefits. The work schedule is during the day shift, and the work location is in person. Kindly respond to the following application questions: - How many years of experience do you have as a Data Analyst - How many years of experience do you have with Power BI - What is your current salary ,

Experience in AWS Hand's on experience in Unstructured data Experience in SQL, Python, and PySpark Experience using tools such as: Git/Bitbucket, Jenkins/CodeBuild, CodePipeline

Experience in SQL, Python, and PySpark Experience in AWS Experience in Unstructured data

Experience in SQL, Python, and PySpark. Experience GIS Experience in Unstructured data

The Staff ML Scientist position at Visa offers a unique opportunity to engage in cutting-edge Applied AI research within the realm of data analytics. As a key member of the team, you will play a pivotal role in driving Visa's strategic vision as a leading data-driven company. Your responsibilities will involve formulating complex business problems into technical data challenges, collaborating closely with product stakeholders to ensure the practicality of solutions, and delivering impactful prototypes and production code. You will have the chance to experiment with various datasets, both in-house and third-party, to evaluate their relevance to business objectives. Moreover, your role will encompass building data transformations for structured and unstructured data, exploring and refining modeling and scoring algorithms, and implementing methods for adaptive learning and model validation. Your expertise in automation and predictive analytics will be instrumental in enhancing operational efficiency and performance monitoring. In addition to your technical skills, you will be expected to possess a strong academic background and exceptional software engineering capabilities. A proactive and detail-oriented approach, coupled with excellent collaboration skills, will be essential for success in this role. This is a hybrid position, allowing for a flexible work arrangement that combines remote work and office presence. The expectation is to work from the office 2-3 set days per week, with a general guideline of being in the office at least 50% of the time based on business requirements. Qualifications: - 8 or more years of work experience with a Bachelors Degree or an Advanced Degree - Proficiency in modeling techniques such as logistic regression, Nave Bayes, SVM, decision trees, or neural networks - Ability to program in scripting languages like Perl or Python, and programming languages such as Java, C++, or C# - Familiarity with statistical tools like SAS, R, KNIME, and experience with deep learning frameworks like TensorFlow - Knowledge of Natural Language Processing and working with large datasets using tools such as Hadoop, MapReduce, Pig, or Hive - Publications or presentations in recognized Machine Learning and Data Mining journals/conferences would be advantageous Join Visa as a Staff ML Scientist and contribute to pioneering advancements in Applied AI research that drive innovation and shape the future of data analytics.,

At Moody's, we aim to unite the brightest minds to transform today's risks into tomorrow's opportunities. We strive to cultivate an inclusive environment where everyone is encouraged to express their true selves, exchange ideas freely, think innovatively, and engage with each other and customers in meaningful ways. If you are enthusiastic about this opportunity, even if you do not meet every requirement listed, we encourage you to apply. You may still be a great fit for this role or other available positions. We are looking for candidates who embody our values: investing in every relationship, leading with curiosity, championing diverse perspectives, turning ideas into actions, and upholding trust through integrity. Skills and Competencies - Experience in utilizing industry-standard data transformation, low-code automation, business intelligence solutions, and operational responsibilities with tools like Power BI, Alteryx, and Automation Anywhere. - Familiarity with Python, Data Fabric, and a working understanding of Hyperion/OneStream (EPM) would be advantageous. - Proficiency in SQL for working with both structured and unstructured data. - Strong knowledge of data structures, algorithms, and software development best practices. - Understanding of version control systems such as Git and agile methodologies. - Knowledge of cloud platforms like AWS, Azure, or Google Cloud is a plus. - Effective communication skills to articulate technical concepts to non-technical stakeholders. - Strong problem-solving abilities and the capability to work independently or collaboratively within a team. Education - Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Responsibilities - Support operational processes within the Data and Analytics team. - Contribute to the creation of process documentation (SOPs) and aid in establishing guidelines to standardize and enhance operations. - Provide assistance for Automation/Data/BI servers to ensure system performance and reliability. - Monitor and support automation, BI, and data processes to maintain seamless operations and address issues promptly. - Aid in managing security and access controls to safeguard data and uphold data integrity. - Track automation, Gen AI, data, and BI use cases across the team. - Support Gen AI application environments, security, and post-production operations. - Assist in BI incident management and efficiently route issues to the appropriate area. - Monitor and report on metrics to evaluate performance and identify areas for enhancement. - Maintain comprehensive documentation and communication to ensure transparency. - Monitor and report on metrics to ensure operational efficiency. About The Team The Automation Operations & Innovation Team is a dynamic group within the Data and Analytics department focused on enhancing operational efficiency and driving digital transformation through automation, GenAI, business intelligence, and data management. The team collaborates with developers, analysts, and process managers to design and implement scalable solutions using tools like Alteryx, Power BI, Automation Anywhere, and Python. Through collaboration, innovation, and continuous improvement, the team supports strategic initiatives by streamlining workflows, enhancing data quality, and integrating emerging technologies. Candidates applying to Moody's Corporation may be required to disclose securities holdings in accordance with Moodys Policy for Securities Trading and the position's requirements. Employment is subject to adherence to the Policy, including addressing any necessary remediation of positions in those holdings.,

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. As part of our Analytics and Insights Consumption team, you'll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights. Candidates with 8+ years of hands-on experience are invited to join our team as we embark on a journey to drive innovation and change through data-driven solutions. Responsibilities: - Lead and manage a team of software engineers in developing, implementing, and maintaining advanced software solutions for GenAI projects. - Engage with senior leadership and cross-functional teams to gather business requirements, identify opportunities for technological enhancements, and ensure alignment with organizational goals. - Design and implement sophisticated event-driven architectures to support real-time data processing and analysis. - Oversee the use of containerization technologies such as Kubernetes to promote efficient deployment and scalability of software applications. - Supervise the development and management of extensive data lakes, ensuring effective storage and handling of large volumes of structured and unstructured data. - Champion the use of Python as the primary programming language, setting high standards for software development within the team. - Facilitate close collaboration between software engineers, data scientists, data engineers, and DevOps teams to ensure seamless integration and deployment of GenAI models. - Maintain a cutting-edge knowledge base in GenAI technologies to drive innovation and enhance software engineering processes continually. - Translate complex business needs into robust technical solutions, contributing to strategic decision-making processes. - Establish and document software engineering processes, methodologies, and best practices, promoting a culture of excellence. - Ensure continuous professional development of the team by maintaining and acquiring new solution architecture certificates and adhering to industry best practices.,

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. As part of our Analytics and Insights Consumption team, you'll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights. Candidates with 8+ years of hands-on experience are preferred for this role. Lead and manage a team of software engineers in developing, implementing, and maintaining advanced software solutions for GenAI projects. Engage with senior leadership and cross-functional teams to gather business requirements, identify opportunities for technological enhancements, and ensure alignment with organizational goals. Design and implement sophisticated event-driven architectures to support real-time data processing and analysis. Oversee the use of containerization technologies such as Kubernetes to promote efficient deployment and scalability of software applications. Supervise the development and management of extensive data lakes, ensuring effective storage and handling of large volumes of structured and unstructured data. Champion the use of Python as the primary programming language, setting high standards for software development within the team. Facilitate close collaboration between software engineers, data scientists, data engineers, and DevOps teams to ensure seamless integration and deployment of GenAI models. Maintain a cutting-edge knowledge base in GenAI technologies to drive innovation and enhance software engineering processes continually. Translate complex business needs into robust technical solutions, contributing to strategic decision-making processes. Establish and document software engineering processes, methodologies, and best practices, promoting a culture of excellence. Ensure continuous professional development of the team by maintaining and acquiring new solution architecture certificates and adhering to industry best practices.,

As a Data Scientist, you will be responsible for undertaking data collection, preprocessing, and analysis to address various business problems. You will build models and utilize data visualization techniques to present information effectively. It will be your duty to identify valuable data sources and automate the collection processes. Additionally, you will be required to preprocess both structured and unstructured data, analyze large amounts of information to discover trends and patterns, and build predictive models and machine-learning algorithms. This is a full-time, permanent position with a fixed shift schedule. The work location for this role is in person.,

As a Senior Software Engineer at Clarivate, you will be an integral part of our Technology team, focusing on data engineering, ETL, and script writing to create efficient data pipelines for data cleansing and structuring processes. To excel in this role, you should hold a Bachelor's degree in computer science or possess equivalent experience. Additionally, a minimum of 3 years of Programming Experience with a strong grasp of SQL is required. Experience with ETL processes, APIs, data integration, system analysis, and design is highly valuable. You should be adept at implementing data validation and cleansing processes to maintain data integrity and proficient in pattern matching, regular expressions, XML, JSON, and other textual formats. In this position, you will be analyzing textual and binary patent data, utilizing regular expressions to extract data patterns. Writing clean, efficient, and maintainable code according to coding standards, automating tests, and unit testing all assigned tasks are key responsibilities. You will collaborate closely with Content Analysts team to design and implement mapping rules for data extraction from various file formats. Furthermore, you will liaise with cross-functional teams to understand data requirements and provide technical support. Ideally, you would have experience with cloud-based data storage and processing solutions like AWS, Azure, Google Cloud, and a strong understanding of code versioning tools such as Git. At Clarivate, you will be part of the Data Engineer team, collaborating with multiple squads comprising Data Engineers, Testers, Leads, and Release Managers to process and deliver high-quality patent data from diverse input source formats. This permanent position at Clarivate offers a hybrid work model with 9 hours of work per day, including a lunch break, providing a flexible and employee-friendly work environment. Clarivate is dedicated to promoting equal employment opportunities for all individuals in terms of hiring, compensation, promotion, training, and other employment privileges. We adhere to applicable laws and regulations to ensure non-discrimination in all locations.,