19 Structured Data Jobs

As an SEO Expert at Sir Marketer Digital Marketing Agency in Jaipur, you will play a crucial role in managing WordPress websites and enhancing our clients" organic performance. Sir Marketer is a U.S.-registered digital marketing agency specializing in SEO, e-commerce growth, content marketing, and digital performance strategies for global clients. You will have the opportunity to work on global digital marketing projects and take ownership of your SEO strategies in a growth-focused work environment with a supportive and professional team culture. Your responsibilities will include executing On-page, Off-page, and Technical SEO strategies, optimizing WordPress websites, conducting keyword research, writing SEO-friendly content, and implementing Answer Engine Optimization (AEO) techniques for voice search and featured snippets. You will also be responsible for managing technical audits, monitoring website traffic and keyword rankings, and collaborating with content writers and developers to ensure best SEO practices. Additionally, you will be expected to assist with Social Media Optimization (SMO) if needed and continuously strive to improve organic traffic and search visibility. To excel in this role, you should have a strong command of WordPress plugin management, SEO setup, and content updates, along with a deep knowledge of On-page, Off-page, and Technical SEO. Experience with SEO tools like Google Search Console, Ahrefs, SEMrush, and Moz is essential, as well as proficiency in content writing and SEO copy optimization. Familiarity with AEO, schema markup, and structured data will be beneficial, and the ability to work independently, take accountability for results, and possess strong analytical and communication skills are key requirements. The ideal candidate will have at least 3 years of hands-on SEO experience, prior experience working in an agency or with international clients, basic HTML/CSS knowledge, and experience with social media strategy. If you are looking to further develop your SEO expertise, work on diverse projects, and be part of a supportive team environment that encourages growth and creativity, Sir Marketer is the place for you.,

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.,

As a Senior SEO Specialist at Interactive Bees located in Delhi NCR, you will be responsible for developing and implementing advanced SEO strategies that encompass on-page, off-page, and technical aspects. With over 5 years of experience in core SEO, you will lead keyword research, competitive analysis, and content audits to ensure optimal performance in an ever-evolving digital landscape. Your role will involve working closely with Large Language Models (LLMs) and Generative AI tools to optimize content workflows with tools like ChatGPT, Claude, Jasper, etc. You will integrate Generative AI into SEO content pipelines while upholding quality, originality, and E-A-T standards. Collaborating with developers and content teams, you will implement SEO best practices on websites and landing pages. Monitoring and reporting on SEO performance using tools such as GA4, GSC, SEMrush/Ahrefs, and LLM-driven dashboards will be a crucial part of your responsibilities. Staying abreast of AI advancements in search, such as SGE, AI snippets, and multimodal SEO, will ensure that you remain ahead of the curve in SEO strategies. Preferred skills for this role include a deep understanding of Google algorithms, indexing, crawling, and structured data. Experience in using and optimizing prompts with LLMs for SEO content generation is highly desirable. Familiarity with AI-powered SEO tools like Surfer SEO, MarketMuse, and Frase will be advantageous. Additionally, knowledge of schema markup, page speed optimization, and technical audits is essential. If you have experience in integrating LLMs with CMS or SEO platforms, an understanding of prompt engineering, or exposure to Python and automation scripts for SEO tasks, it would be considered a bonus. Prior experience in optimizing content for AI search experiences, such as SGE and Bing Chat, will also be beneficial. Joining Interactive Bees offers you the opportunity to work on cutting-edge SEO and AI projects for leading brands. You will be part of a collaborative and growth-focused team culture with opportunities to experiment with new tools and AI models. Competitive salary along with performance incentives make this role even more rewarding.,

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.,

Key Responsibilities: Responsibilities Anchor ML development track in a client project Data collection profiling EDA data preparation AI Model development experimentation tuning validation Present findings to business users project management teams Propose ML based solution approaches estimates for new use cases Contribute to AI based modules in Infosys solutions development Explore new advances in AI continuously and execute PoCs Mentoring Guide junior team members evangelize AI in organization Technical skills Programming Python R SQL ML algorithms o Statistical ML algorithms o Deep Neural Network architectures o Model ensembling o Generative AI models o ML for Responsible AI AI domains NLP speech computer vision structured data Learning patterns supervised unsupervised reinforcement learning Tools for data analysis auto ML model deployment scaling model fine tuning Knowledge of different Model fine tuning approaches for Large models Knowledge of datasets pre built models available in open community and 3rd party providers Knowledge of software development architectures Knowledge of hyperscalers their AI capabilities Azure AWS GCP Knowledge of Model Quantization and Pruning Preferred Skills: Technology->Machine learning->data science,Technology->Data Science->Machine Learning,Technology->Machine Learning->Accord,Technology->Machine Learning->Generative AI

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 ,

Shopify Front-End Developer Performance & SEO Optimization Location: Bangalore, Bannerghatta Road Work Mode: 5 Days Work From Office (WFO) No remote or hybrid options Joining Preference: Looking for early joiners About the Role We are looking for a mid to senior level Shopify Front End Developer to join our fast-paced ecommerce team. This role is 50% development and 50% performance/SEO optimization. It is ideal for someone who thrives in a dynamic environment and understands Shopifys frontend architecture, Liquid templating, and site speed best practices. Responsibilities Front-end Development (50%) Customize and maintain Shopify themes using Liquid, HTML, CSS, and JavaScript Work closely with design and content teams to create high converting user experiences Develop custom sections, features, and micro-interactions to enhance engagement Implement A/B testing and data-driven updates to improve UX and conversion Performance & SEO Optimization (50%) Optimize site speed, core web vitals, and responsive performance across mobile and desktop Audit and implement onsite SEO best practices, including schema markup, image optimization, meta structures, and link architecture Evaluate third party apps for performance impact and recommend code-based solutions Use tools like Lighthouse, GTmetrix, Google Search Console, and Semrush to measure and enhance site health Collaborate with marketing and content teams to ensure technical SEO aligns with overall strategy Qualifications 3-5+ years of frontend development experience, ideally in ecommerce 3+ years of hands-on work in the Shopify ecosystem (theme development & customizations) Strong knowledge of Liquid, HTML5, CSS3, JavaScript (Vanilla, Alpine.js, React) Deep expertise in performance optimization & technical SEO within a Shopify environment Experience with Git, browser dev tools, and page speed tools (Lighthouse, Semrush) Excellent communication and collaboration skills across teams Bonus: Familiarity with headless commerce or Shopify Hydrogen

At 360Watts, we are rethinking the concept of owning and managing solar energy for residential use. Our focus is on developing an intelligent rooftop solar system that goes beyond just being a passive installation on your roof. We are striving to create a system that is dynamic, automated, and adaptable, empowering users with complete visibility and control over their energy consumption. If you are a systems thinker with the ability to seamlessly integrate the physical and digital realms, we have an exciting opportunity for you. We are looking for someone who can envision a solar system with an IoT layer for automation, designed to be modular and enhanced with AI/ML capabilities. The system should be easily upgradable to cater to users" evolving needs, ranging from basic to advanced automation levels. Users should have the convenience of remote control through a smart-home energy management app (EMS). Responsibilities: - Lead the design, testing, and refinement of the end-to-end IoT system architecture layer, utilizing edge-MCUs and hybrid data flows to connect with the cloud and smart-home control hub - Develop real-time firmware to collect data from sensors, operate relays, and implement secure, over-the-air (OTA) updatable logic - Incorporate MCUs with varying levels of inference capabilities (e.g., ESP32-S3, Raspberry Pi CM4, Jetson Nano/Xavier NX) and maintain firmware modularity for future upgrades - Define IoT use-cases, data workflow, and communication protocol stacks (MODBUS RTU/TCP, MQTT) for seamless integration with inverters, battery systems, and cloud EMS - Provide guidance to hardware interns on embedded prototyping, transitioning from breadboard setups to PCBs, including wiring, testing, and debugging processes - Collaborate with solar engineers and EMS software leads to facilitate rapid prototyping, field testing, and the development of user-centric automation strategies - Ensure readiness for field deployment, including configuring pilot systems, ensuring relay switching stability, integrating with inverters, and implementing offline fallback mechanisms Required Skills: - Proficiency in systems-oriented Embedded C/C++ - Experience in designing Edge (AI/ML) architecture and modular firmware - Hands-on experience in developing real-world firmware encompassing control logic, sensor integration, and relay operations - Knowledge of implementing protocol stacks such as MODBUS RTU/TCP and MQTT - Familiarity with OTA updates, structured data handling, and embedded fault management - Ability to debug system issues and ensure field readiness Background: - Bachelor's or Master's degree in Electrical Engineering, Electronics & Communication, Embedded Systems, or related fields - 1-3 years of work experience in a relevant role - Proficient in professional English language Job Details: - Salary range: Rs. 30k-50k per month, based on skills and experience - Opportunity for equity (ESOP) after 9-12 months - Start date: 15.08.2025 or 01.09.2025 - Probation period: 3 months - Job Type: Full-time Benefits: - Flexible schedule - Paid time off - Performance bonus Schedule: - Monday to Friday, with weekend availability Ability to commute/relocate: - Candidates should be able to reliably commute to Coimbatore, Tamil Nadu or be willing to relocate before the start date (Preferred) Education: - Bachelor's degree preferred Experience: - Minimum 1 year of experience in embedded software required Language: - Proficiency in English preferred Work Location: In person For further inquiries, please contact the employer at +91 9087610051 Application Deadline: 27/07/2025 Expected Start Date: 01/09/2025 If you are enthusiastic about this opportunity, we encourage you to apply promptly.,

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.,

As a Senior Applied Scientist at our organization, you will play a crucial role in the development of cutting-edge generative AI solutions for Oracle Analytics. Your primary responsibilities will include innovating new methods for natural language interaction with structured data, building intelligent systems for comprehensive data analysis, creating advanced personalization techniques, and seamlessly integrating your solutions into industry-specific intelligent applications. Your expertise in machine learning, data science, and generative AI will be essential for this role, particularly in areas such as LLMs (fine-tuning, adaptation, personalization), agent frameworks, and tool orchestration. It is preferred that you have practical experience in machine learning techniques for structured data, tabular representation learning, graph neural networks, time series modeling, and operations research/mathematical optimization. Successful candidates will have a proven track record of designing innovative solutions that push the boundaries of technology in alignment with business needs. This can be demonstrated through publications in prestigious conferences or journals and a history of impactful contributions to software products that operate at scale. If you are passionate about leveraging your expertise in machine learning and generative AI to drive advancements in intelligent applications, collaborate with a diverse team, and make a significant impact in the field, we encourage you to apply for this exciting opportunity.,

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.,

About WhatJobs Ltd WhatJobs Ltd, a leading job search platform globally, is headquartered in the UK and operates in over 70 countries and 22 languages. Since its establishment in 2011, WhatJobs has facilitated connections between millions of job seekers and employers across Europe, the USA, Asia, and beyond. As the company expands on a global scale, SEO has transitioned from a mere support function to becoming an integral part of the core infrastructure. WhatJobs is currently seeking a Head of SEO to take charge of this growth engine comprehensively, including technical, structural, international, and commercial aspects, all managed from the Bangalore office. Role Overview The Head of SEO position is a pivotal leadership role with both strategic and operational responsibilities. You will collaborate closely with backend engineers, frontend developers, product managers, designers, and marketers to establish a robust global SEO framework capable of operating at scale. Your main duties will involve recruiting, managing, and mentoring a dedicated SEO team based in Bangalore. You will have full autonomy to shape and execute SEO strategies across the organization. We are seeking an individual who is proactive, confident, and forward-thinking someone who takes initiative and drives outcomes independently. Decision-making based on data, effective communication with stakeholders worldwide, and defining key performance indicators (KPIs) are crucial aspects of this role. The ideal candidate will not only address current SEO challenges but also anticipate future trends. Given the evolving landscape where AI influences user interactions with search engines, a deep understanding of how SEO, structured data, and AI discovery models intersect is essential. In addition to managing SEO for WhatJobs, this role also oversees the SEO integrity of all content initiatives, including career advice, job descriptions, news articles, and resume guidance. Ensuring structured, discoverable, and continuously optimized content for both traditional and AI-driven search engines is imperative. From Google to Bing, from ChatGPT to Gemini, you will lead the team responsible for enhancing WhatJobs" visibility across various platforms. Key Responsibilities - Develop and enhance WhatJobs" global SEO architecture across 70+ countries and 22 languages - Create scalable SEO frameworks encompassing backend logic, frontend templating, and UX structures - Collaborate with engineering, product, design, and marketing teams to embed SEO at all levels - Lead international SEO strategies such as hreflang, language targeting, and geo-indexation - Supervise SEO for editorial and content assets, including career advice, resume support, news, and structured job descriptions - Address and resolve Search Console and Bing/IndexNow issues on a large scale - Implement and monitor structured data markup (JobPosting, Breadcrumb, FAQ, etc.) - Establish automated audit systems and performance dashboards utilizing tools like GSC API, BigQuery, Looker - Drive proactive experimentation, testing, and identification of long-tail opportunities - Recruit, train, and manage a high-performing SEO support team in Bangalore - Present SEO strategy, KPIs, and roadmap priorities to the global leadership Requirements - Minimum 8 years of SEO experience, with at least 3-5 years in a senior technical or strategic SEO role - Experience managing SEO for high-scale websites with 500,000+ indexable pages - Profound knowledge of international SEO practices, including hreflang, regional targeting, and localization - Experience overseeing content-based SEO strategies, particularly related to evergreen editorial content - Familiarity with job boards, classifieds, marketplaces, or platforms based on extensive datasets - Demonstrated ability to collaborate effectively with backend, frontend, design, and marketing teams - Proficiency in building and presenting SEO performance dashboards using tools like GSC API, BigQuery, Looker, and GA4 - Familiarity with non-Google discovery ecosystems such as Bing IndexNow, DuckDuckGo, ChatGPT, Gemini, and Claude - Awareness of how AI technologies are reshaping search behavior and its implications for indexing and visibility - Passion for SEO beyond job requirements, ideally involved in relevant communities and platforms - Proactive, self-motivated, and strategic approach towards problem-solving Preferred Tools (or bring your own) - Screaming Frog, JetOctopus, Sitebulb, OnCrawl - Datadog or log file analyzers - Schema.org validators, testing APIs - GSC API, Looker Studio, BigQuery, GA4 - Custom crawlers and prompt-based AI testing workflows KPIs You'll Own - Crawl-to-index efficiency across countries and categories - Indexing speed and freshness of new job pages - Coverage and validation rates of structured data - Traffic and user conversion metrics driven by SEO - Team velocity performance metrics: audits completed, issues resolved, pages optimized - Visibility and impact of WhatJobs" structured content assets on global SERPs and AI engines What You'll Get - Leadership role in a prominent global job platform - Strategic authority over SEO, engineering, content, and product domains - Opportunity to recruit and lead your own team - Autonomy to define tooling, workflows, and SEO architecture - Full ownership of a platform where SEO is a key product component - Daily collaboration with teams across the UK, India, US, and Europe - Competitive salary and prospects for rapid career advancement - Central office location in Bangalore with direct involvement in international strategies How to Apply This role requires an experienced professional who has managed SEO operations at a large scale, delivered tangible results, and can demonstrate their expertise. To apply, please provide details on: - Your achievements in the field - Organizations you have worked for - Business outcomes delivered through your SEO initiatives - Methods you employ to stay ahead in the industry, whether through events, forums, AI tools, or personal experimentation If you are someone who actively engages with Google Search Central, explores prompt-based SEO strategies, and remains involved in SEO communities, you are the ideal candidate for us. Job Types: Full-time, Permanent Ability to commute/relocate: - Bengaluru, Karnataka: Ability to reliably commute or willingness to relocate before commencing work (Required) Application Question(s): 1. What is the most complex international SEO issue you have resolved, and what approach did you take 2. How do you foresee AI technologies, such as ChatGPT, Gemini, and Claude, influencing SEO strategies in the next 12-24 months 3. Describe a situation where you identified and rectified a technical SEO issue before it led to a drop in traffic. 4. Where do you typically seek information to enhance your understanding of SEO (Events, forums, influencers, newsletters, tools please specify) 5. Have you previously worked on an international job board Work Location: 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.,

Shopify Front-End Developer Performance & SEO Optimization Location: Bangalore, Bannerghatta Road Work Mode: 5 Days Work From Office (WFO) No remote or hybrid options Joining Preference: Looking for early joiners About the Role We are looking for a mid to senior level Shopify Front End Developer to join our fast-paced ecommerce team. This role is 50% development and 50% performance/SEO optimization. It is ideal for someone who thrives in a dynamic environment and understands Shopifys frontend architecture, Liquid templating, and site speed best practices. Responsibilities Front-end Development (50%) Customize and maintain Shopify themes using Liquid, HTML, CSS, and JavaScript Work closely with design and content teams to create high converting user experiences Develop custom sections, features, and micro-interactions to enhance engagement Implement A/B testing and data-driven updates to improve UX and conversion Performance & SEO Optimization (50%) Optimize site speed, core web vitals, and responsive performance across mobile and desktop Audit and implement onsite SEO best practices, including schema markup, image optimization, meta structures, and link architecture Evaluate third party apps for performance impact and recommend code-based solutions Use tools like Lighthouse, GTmetrix, Google Search Console, and Semrush to measure and enhance site health Collaborate with marketing and content teams to ensure technical SEO aligns with overall strategy Qualifications 35+ years of frontend development experience, ideally in ecommerce 3+ years of hands-on work in the Shopify ecosystem (theme development & customizations) Strong knowledge of Liquid, HTML5, CSS3, JavaScript (Vanilla, Alpine.js, React) Deep expertise in performance optimization & technical SEO within a Shopify environment Experience with Git, browser dev tools, and page speed tools (Lighthouse, Semrush) Excellent communication and collaboration skills across teams Bonus: Familiarity with headless commerce or Shopify Hydrogen

Data Analyst Location: Bangalore Experience: 8 - 15 Yrs Type: Full-time Role Overview We are seeking a skilled Data Analyst to support our platform powering operational intelligence across airports and similar sectors. The ideal candidate will have experience working with time-series datasets and operational information to uncover trends, anomalies, and actionable insights. This role will work closely with data engineers, ML teams, and domain experts to turn raw data into meaningful intelligence for business and operations stakeholders. Key Responsibilities Analyze time-series and sensor data from various sources Develop and maintain dashboards, reports, and visualizations to communicate key metrics and trends. Correlate data from multiple systems (vision, weather, flight schedules, etc) to provide holistic insights. Collaborate with AI/ML teams to support model validation and interpret AI-driven alerts (e.g., anomalies, intrusion detection). Prepare and clean datasets for analysis and modeling; ensure data quality and consistency. Work with stakeholders to understand reporting needs and deliver business-oriented outputs. Qualifications & Required Skills Bachelors or Masters degree in Data Science, Statistics, Computer Science, Engineering, or a related field. 5+ years of experience in a data analyst role, ideally in a technical/industrial domain. Strong SQL skills and proficiency with BI/reporting tools (e.g., Power BI, Tableau, Grafana). Hands-on experience analyzing structured and semi-structured data (JSON, CSV, time-series). Proficiency in Python or R for data manipulation and exploratory analysis. Understanding of time-series databases or streaming data (e.g., InfluxDB, Kafka, Kinesis). Solid grasp of statistical analysis and anomaly detection methods. Experience working with data from industrial systems or large-scale physical infrastructure. Good-to-Have Skills Domain experience in airports, smart infrastructure, transportation, or logistics. Familiarity with data platforms (Snowflake, BigQuery, Custom-built using open-source). Exposure to tools like Airflow, Jupyter Notebooks and data quality frameworks. Basic understanding of AI/ML workflows and data preparation requirements.