118 Data Cleaning Jobs

You will be responsible for assisting in the development and implementation of machine learning models and algorithms. Your role will involve writing clean, efficient, and reusable Python code for data processing, modeling, and deployment. Additionally, you will work on datasets including data cleaning, preprocessing, feature engineering, and visualization. Collaboration with senior data scientists and developers to build scalable ML solutions is a key aspect of this role. You will also be required to conduct literature reviews and stay updated on the latest ML/AI research to contribute effectively to the team. Furthermore, your responsibilities will include contributing to model deployment and integration with APIs or web applications, with a basic knowledge being sufficient for this aspect of the role.,

You will be joining our team as a Junior Data Scraping Specialist at one of the leading IT product companies. In this role, you will receive training and mentorship to support in collecting, cleaning, and transforming data from various online sources. This position offers an excellent opportunity to initiate your career in data engineering and web scraping. Your responsibilities will include assisting in data collection by scraping information from websites using basic scraping tools and techniques. You will learn to utilize popular web scraping libraries and tools, clean and organize raw data into structured formats like CSV, JSON, or Excel files, and support in automating data scraping tasks through simple scripts and tools guided by senior team members. Additionally, you will conduct research to identify potential data sources, test scraping scripts, and collaborate closely with data analysts and developers to gather data for reports or analysis. To excel in this role, you should have basic knowledge of HTML, CSS, and web structures, problem-solving abilities to troubleshoot data extraction issues, attention to detail to ensure data accuracy, eagerness to learn new skills related to web scraping and data processing, and excellent communication skills for effective collaboration within the team. This position requires 0-1 year of experience, making it an ideal opportunity for individuals looking to kick-start their career in the field of data engineering and web scraping.,

Appinventiv is a global product development and digital transformation agency that leverages cutting-edge technologies like Artificial Intelligence, Blockchain, Cloud, and Data Analytics to create AI-powered digital products and solutions. With a team of over 1,600 innovators across six global centers, Appinventiv has launched more than 3,000 products, transforming industries and enhancing user experiences. This is a full-time on-site role for a Junior Analyst located in Noida. You will be responsible for data analysis, preparing reports, and providing insights to support decision-making processes. Your day-to-day tasks will include collecting and analyzing large datasets, identifying trends and patterns, creating visualizations, and collaborating with various departments to ensure data accuracy and consistency. This role requires strong analytical skills and attention to detail to contribute effectively to the company's projects and objectives. To excel in this role, you should have proficiency in Data Analysis and Data Visualization tools, along with 1-3 years of experience in the field. Experience with Data Collection, Data Cleaning, and Data Preparation is essential, as well as strong skills in Statistical Analysis and Trend Analysis. Knowledge of Excel and SQL is necessary for this position. Additionally, excellent problem-solving and critical-thinking skills, strong written and verbal communication skills, and the ability to work collaboratively in a team environment are important qualities for this role. A Bachelor's degree in Data Science, Statistics, Economics, or a related field is required. Experience in the technology sector would be a plus for this position. If you meet the qualifications and are looking to join a dynamic team focused on leveraging technology to drive digital innovation, this role as a Junior Analyst at Appinventiv could be the next step in your career.,

As a valuable member of our team, you will be responsible for supporting data collection activities from laboratory and field validation tests. This will involve assisting in the process of gathering raw data, ensuring its accuracy, and organizing it effectively for further analysis. In addition, you will play a crucial role in performing data cleaning, validation, and basic statistical analysis to derive meaningful insights from the collected data. Your contribution in preparing structured reports and dashboards for internal review will be essential in communicating key findings to stakeholders. Collaboration with test engineers will be a key aspect of your role to ensure data accuracy and consistency throughout the testing process. By working closely with the team, you will contribute to data-driven insights that can be used for root cause analysis and performance improvement initiatives. Overall, this position offers a great opportunity to be involved in the end-to-end data management process and to make a significant impact on the quality and effectiveness of our testing procedures.,

As an ML Engineer, you will play a crucial role in developing and implementing various Machine Learning models that contribute to the growth of the company. Your primary focus will be on creating ML workflows tailored for the legal industry to enhance the efficiencies of in-house teams at Draft n Craft. This position offers you the opportunity to enhance your ML/Data Engineering skills while actively participating in the creation of valuable products. Your responsibilities will include developing data ingestion and preprocessing pipelines to extract actionable insights from legal data, ensuring accurate and consistent data cleaning for ML models, and experimenting with different ML models and architectures suitable for the legal industry. You will also be responsible for deploying ML models in production environments, analyzing model performance metrics, and improving model efficiencies. Additionally, you will document data preprocessing steps, model development processes, and optimization techniques. Collaboration with software engineers within the company will be essential, requiring an understanding of software development terminologies. Integration of ML models into existing software solutions and employee workflows will also be part of your role. The ideal candidate holds a degree in Computer Science Engineering, Data Science, or related fields. A minimum of 2 years of experience as an ML Engineer or Data Scientist is required, along with strong programming skills in Python and familiarity with libraries such as Tensorflow, PyTorch, and Pandas. Proficiency in SQL/NoSQL for database querying, working with data extraction and ETL pipelines, and experience in NLP, Neural Networks, and Gen AI technologies are essential. Familiarity with transfer learning on LLM models and deploying ML models to cloud services like AWS/Azure is preferred. Some experience in software development will be advantageous. This is a full-time position with a preferred total work experience of 6 years. The work location is in person.,

As a Data Analysis Faculty at URBX Knowledge Park, you will play a crucial role in guiding students to master essential tools such as MS Excel, CRM, Power BI, and other data management applications. Your primary responsibility will be to combine industry knowledge with effective teaching methods to make data concepts clear, practical, and career-oriented for the students. The ideal candidate for this position should possess a minimum of 2+ years of teaching experience and at least 1 year of industry experience in data analysis or business intelligence roles, amounting to around 3 years of total experience. Your key responsibilities will include delivering engaging classes on advanced features of MS Excel, CRM systems, Power BI, and other data analysis tools. You will also teach data handling, visualization, reporting, and interpretation using real-world examples, ensuring active student participation through interactive teaching methods. In addition, you will be responsible for developing high-quality study materials, hands-on exercises, and case studies based on real industry scenarios. You will create and evaluate tests, projects, and assignments to track student progress, while regularly updating content to align with the latest trends and technologies in data analysis. As a mentor, you will guide students in building practical projects and portfolios that showcase their data skills. Providing personalized feedback and support to help students enhance their technical abilities will be a key aspect of your role. You will also motivate students to apply analytical thinking to solve business problems effectively. To excel in this role, you should stay updated with evolving data tools, analytics trends, and business intelligence practices. Sharing practical insights and experiences to prepare students for real-world job roles will be crucial in ensuring the relevance of the curriculum. Qualifications for this position include a minimum of 2+ years of teaching experience in data analysis, business intelligence, or related fields, along with at least 1 year of industry experience working with tools like Excel, Power BI, CRM systems, or equivalent platforms. Proficiency in data cleaning, visualization, dashboards, and reporting techniques, as well as strong communication and presentation skills, are essential. Your ability to break down complex data concepts into easy-to-understand lessons, coupled with a genuine passion for mentoring students and preparing them for careers in data analysis and business intelligence, will make you a valuable asset to our team. If you are a data professional eager to inspire and prepare the next generation of data analysts and business intelligence experts, this is a great opportunity for you to join us at URBX Knowledge Park. Together, we can shape the future of data-driven professionals. Note: This is a full-time, permanent position with a day shift schedule, requiring in-person work at URBX Knowledge Park.,

As a LLM Engineer at HuggingFace, you will play a crucial role in bridging the gap between advanced language models and real-world applications. Your primary focus will be on fine-tuning, evaluating, and deploying LLMs using frameworks such as HuggingFace and Ollama. You will be responsible for developing React-based applications with seamless LLM integrations through REST, WebSockets, and APIs. Additionally, you will work on building scalable pipelines for data extraction, cleaning, and transformation, as well as creating and managing ETL workflows for training data and RAG pipelines. Your role will also involve driving full-stack LLM feature development from prototype to production. To excel in this position, you should have at least 2 years of professional experience in ML engineering, AI tooling, or full-stack development. Strong hands-on experience with HuggingFace Transformers and LLM fine-tuning is essential. Proficiency in React, TypeScript/JavaScript, and back-end integration is required, along with comfort working with data engineering tools such as Python, SQL, and Pandas. Familiarity with vector databases, embeddings, and LLM orchestration frameworks is a plus. Candidates with experience in Ollama, LangChain, or LlamaIndex will be given bonus points. Exposure to real-time LLM applications like chatbots, copilots, or internal assistants, as well as prior work with enterprise or SaaS AI integrations, are highly valued. This role offers a remote-friendly environment with flexible working hours and a high-ownership opportunity. Join our small, fast-moving team at HuggingFace and be part of building the next generation of intelligent systems. If you are passionate about working on impactful AI products and have the drive to grow in this field, we would love to hear from you.,

Position Overview: As a Data Analyst Intern, you will play a crucial role in supporting data collection, analysis, and reporting activities for the team. This internship offers an excellent opportunity for students with strong SQL skills to apply their technical expertise to real-world data challenges and gain valuable experience. Key Responsibilities: Data Extraction & Cleaning: Extract, clean, and prepare data from various sources using SQL, ensuring consistency and accuracy across datasets. Reporting: Assist in creating ad-hoc and standard reports based on business requirements. Data Analysis: Conduct analysis to identify trends, patterns, and key insights, providing actionable recommendations. Collaboration with Stakeholders: Work closely with business teams to understand data needs and provide valuable insights. Dashboards & Visualization: Develop and maintain dashboards and data visualizations using tools like Excel or Power BI. Automation: Use Excel Macros to automate repetitive tasks, enhancing data workflows. Data Quality Assurance: Support data validation processes to ensure high data quality across systems. Statistical Analysis: Perform basic statistical analysis and summarize findings in a clear and concise manner. Presentation Preparation: Assist in preparing presentations and reports for internal teams and stakeholders. Skills & Qualifications: Currently pursuing or recently completed a B. Tech degree in Computer Science, Information Technology, or a related field. Hands-on experience with SQL for querying, manipulating, and analyzing large datasets. Proficiency in Microsoft Excel, including experience with Macros for data analysis and task automation. Strong analytical and problem-solving skills with a keen eye for detail. Basic knowledge of data visualization tools like Power BI, Tableau, or Excel (preferred). Ability to work independently and as part of a team in a fast-paced environment. Strong communication skills for conveying data insights effectively. Quick learner with the ability to adapt to new tools and technologies. Additional Preferred Skills: Experience with Excel Macros to streamline and automate data tasks (highly desirable). Familiarity with data processing tools or scripting languages like Python is a plus. What You Will Gain: Practical experience working with real-world datasets and databases. Exposure to data analysis and reporting processes in a professional setting. Opportunities to develop skills in SQL, Excel, and data visualization tools. Mentorship and guidance from experienced data professionals. A chance to work on impactful projects that contribute to the companys data driven goals.

You are invited to join the dynamic team at HCL Software, a Product Development Division of HCL Tech, where we deliver cutting-edge software solutions catering to the transformative needs of clients worldwide. Our portfolio includes award-winning products in AI, Automation, Data & Analytics, Security, and Cloud domains. One of our flagship products is the HCL Unica+ Marketing Platform, which empowers our clients to execute precise and high-performance marketing campaigns across diverse channels such as social media, AdTech platforms, mobile applications, and websites. The Unica+ Marketing Platform stands out as a Data and AI first platform, enabling our customers to create hyper-personalized offers and messages for customer acquisition, product awareness, and retention. If you have a passion for leveraging Data Science and Machine Learning technologies to drive AI-driven Marketing Campaigns, we are looking for a skilled Sr. & Lead Python Developer with over 6 years of experience in this field to join our team. Qualifications & Skills: - A minimum of 6-12 years of Python Development Experience, with at least 4 years focused on data science and machine learning. - Proficiency with Customer Data Platforms (CDP) such as Treasure Data, Epsilon, Tealium, Adobe, and Salesforce is considered advantageous. - Experience with AWS SageMaker is a plus. - Familiarity with Lang Chain, RAG for Generative AI, Integration tools, and frameworks like Postman, Swagger, and API Gateways. - Strong knowledge of REST, JSON, XML, and SOAP. - Ability to collaborate effectively within an agile team setup. - Excellent communication and interpersonal skills. - A 4-year degree in Computer Science or IT is required. Responsibilities: - Proficient in Python programming, utilizing libraries like Pandas, NumPy, and Matplotlib/Seaborn for data manipulation, numerical operations, and data visualization. - Strong understanding of statistical concepts and modeling techniques, including hypothesis testing, regression analysis, and time series analysis. - Expertise in data cleaning, preprocessing, and feature engineering to handle real-world data effectively. - Proficient in SQL for database management and querying relational databases. - Skilled in exploratory data analysis to identify patterns and relationships within datasets. - Hands-on experience with various machine learning algorithms and deep learning frameworks like TensorFlow or PyTorch. - Ability to evaluate models, optimize performance, and deploy machine learning solutions in production environments. This role may involve approximately 30% travel, and the preferred location is India, with Pune being the preferred choice. If you are ready to contribute to innovative projects and be rewarded with a competitive base salary and bonus structure, we look forward to meeting you for a face-to-face interview on 2nd August in Hinjewadi, Pune.,

As an AWS Architect, you will be responsible for owning the architectural design, development, delivery, and maintenance of AI-based solutions. Your primary role will involve leading a team to build innovative solutions on the AWS platform. To excel in this position, you must have hands-on experience in AWS architectural development and a strong understanding of various AWS services such as Analytics, Big data, Databases, Security, Containerization, Application deployment, and CI/CD. Additionally, you should possess basic knowledge of Data analysis and Machine Learning, including data preprocessing, cleaning, modeling, and deployment experience. Requirements engineering and problem-solving skills are essential for this role, along with an AWS Solutions Architect certification. Good communication and presentation skills in English are necessary to effectively interact with stakeholders. A continuous learning attitude is crucial in keeping up with the latest technologies and trends in the field. Experience in automotive data analysis and working with international clients would be beneficial for this position. If you meet these requirements and are passionate about designing cutting-edge solutions on the AWS platform, we encourage you to apply for this exciting opportunity.,

As an LLM Engineer, your primary responsibility will be to develop, fine-tune, and deploy large-scale natural language models such as GPT, BERT, and similar transformer-based architectures. You will collaborate closely with data scientists, AI researchers, and software engineers to create cutting-edge language models that drive innovative solutions across various applications like chatbots, summarization, translation, and more. Your key responsibilities will include building and fine-tuning large language models to address specific business challenges, ensuring they meet performance standards. You will also be involved in curating, preprocessing, and augmenting datasets to enhance model training and generalization. Furthermore, deploying and managing LLMs in production environments using tools like Docker, Kubernetes, or cloud platforms will be part of your role. Post-deployment, you will continuously monitor model performance, striving to enhance accuracy, diminish bias, and optimize latency. It is imperative to stay updated with the latest NLP and transformer advancements, implementing state-of-the-art techniques to elevate model efficiency. Collaboration is crucial as you will work closely with cross-functional teams, including data engineers, front-end developers, and product managers, to deliver robust AI solutions. Developing mechanisms to make model outputs comprehensible to non-technical stakeholders is essential. You will also optimize large-scale models for efficient inference and scalability across distributed systems. To excel in this role, you are required to have a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Proficiency in Python, familiarity with libraries like TensorFlow, PyTorch, Hugging Face Transformers, and other NLP frameworks is essential. Hands-on experience with large-scale language models, NLP expertise, and proficiency in cloud environments are crucial. Additionally, strong communication skills, teamwork, and the ability to work in collaborative, fast-paced environments are vital for success. Preferred skills include knowledge of transformer-based models, LLM scaling strategies, contributions to the NLP research community, familiarity with prompt engineering, and an understanding of reinforcement learning techniques for enhancing LLM interaction quality.,

As a Senior Data Quality Analyst at TriNet, you will play a crucial role in ensuring the accuracy, consistency, and integrity of data within the organization. Your responsibilities will include analyzing and validating data to maintain high quality standards, conducting thorough assessments of data quality across various sources, and collaborating with data governance teams to establish and enforce data quality standards and policies. You will be expected to develop and implement data quality standards and processes, continuously monitor data quality metrics, and work closely with IT, data management, and business teams to design and implement data strategies and models. Root cause analysis of data quality issues, recommending corrective actions, and providing training and support to data stewards and team members on data quality best practices will also be part of your role. A Bachelor's Degree in Computer Science, Information Technology, Statistics, or a related field is required for this position, along with a minimum of 5 years of experience in data quality analysis or a related field. Proficiency in SQL and data analysis tools, strong analytical and problem-solving skills, excellent attention to detail, and the ability to work collaboratively with cross-functional teams are essential for success in this role. Additionally, strong communication and presentation skills, proficiency in Microsoft Office Suite, and experience working with domain structures are desired qualifications. This is an on-site position based in India with minimal travel requirements. The work environment is clean, pleasant, and comfortable, enabling you to focus on performing the essential functions of the job effectively. TriNet is committed to building a diverse, inclusive, and authentic workplace, and encourages candidates who are excited about the role to apply even if their past experience does not align perfectly with every single qualification in the job description. In summary, as a Senior Data Quality Analyst at TriNet, you will have the opportunity to contribute to the success of the organization by ensuring high data quality standards and processes are maintained, collaborating with various teams to address data-related issues, and continuously improving data quality processes and tools. If you are passionate about data quality and eager to make an impact in a dynamic and innovative environment, we invite you to apply for this exciting opportunity.,

The role of a Data Analyst is crucial in utilizing data to drive business decisions and strategies. You are responsible for collecting, processing, and analyzing data to provide actionable insights that can help improve organizational processes, products, and services. You play a pivotal role in aiding businesses to make informed decisions by interpreting complex data sets and identifying trends. Key responsibilities include collecting and interpreting data from various sources, cleaning and transforming data for analysis, identifying patterns and trends in data sets, developing and maintaining databases, creating visualizations and reports to communicate findings, conducting statistical analysis to support business decisions, collaborating with cross-functional teams to understand data needs, using statistical and data analysis tools to interpret data, developing and implementing data analysis strategies, identifying and recommending process improvements based on data insights, presenting findings to stakeholders and business leaders, ensuring data accuracy and integrity, keeping abreast of industry best practices and technological advancements, assisting in the development of data-driven strategies, and supporting data-driven decision-making processes. Required Qualifications: - Bachelors or Masters degree in Computer Science, Statistics, Economics, Mathematics, or related field - Proven experience as a Data Analyst or related role - Proficiency in SQL for querying and data manipulation - Strong knowledge of data analysis and visualization tools such as Python, R, Tableau, or Power BI - Ability to interpret and analyze complex data from multiple sources - Solid understanding of statistical methods and their applications - Experience in data cleaning and transformation techniques - Excellent analytical and problem-solving skills - Ability to communicate complex findings in a clear and understandable manner - Knowledge of data warehousing and database management systems - Experience in conducting root cause analysis and process improvement - Proven track record of delivering actionable insights from data - Ability to work independently and in cross-functional teams - Strong attention to detail and accuracy - Certifications in data analysis or related fields is a plus Skills required for this role include python, tableau, communication, problem-solving, data cleaning, root cause analysis, data analysis, statistics, SQL, R, data transformation, Power BI, database management, data warehousing, statistical analysis, and data visualization.,

The Digital Finance function within Novartis is responsible for driving the data and tools, AI and ML strategy for finance across the organization. We are seeking a highly skilled and detail-oriented Senior Manager, Data Analytics. Your primary responsibility in this role is to effectively manage and analyze large volumes of data, aiming to extract valuable insights. You should possess exceptional analytical skills and the ability to manipulate and interpret complex datasets using various technologies, including programming languages. Additionally, you should be able to build strong relationships with global stakeholders and effectively communicate business analyst needs to data engineers or software engineers. Key Requirements: - **Data Analysis:** Utilize statistical techniques and data mining methods to analyze large datasets. Identify trends, patterns, and correlations to uncover valuable insights and address critical business questions. - **Data Validation, Cleaning and Preprocessing:** Thoroughly clean, validate, and organize data to ensure accuracy and consistency. Identify and resolve data quality issues, such as missing values and outliers, to maintain data integrity. - **Data Visualization:** Present findings clearly through charts, graphs, and visualizations. Enable users to understand and interpret data effectively through visual representations. - **Ad-hoc Data Analysis:** Conduct ad-hoc data analysis to provide actionable recommendations. Proactively address emerging business needs by performing on-demand data analysis to support decision-making processes. - **Collaboration:** Work closely with cross-functional teams, including business analysts, data engineers, and data scientists. Understand their requirements and provide data-driven solutions, fostering effective teamwork and communication. - **Storytelling:** Generate insights from data and communicate them to key stakeholders, both technical and non-technical. Understand and explain the implications of the findings on processes, products, or business. - **Documentation:** Develop and maintain documentation related to data analysis processes. Ensure clear and comprehensive documentation to facilitate knowledge sharing and replication of analysis methods. - **Continuous Improvement:** Stay up-to-date with the latest trends and techniques in data analytics. Continuously explore and implement new tools and technologies to enhance data analysis processes, aligning with industry best practices. Essential Requirements: - Strong analytical skills with the ability to manipulate and interpret large datasets, knowledge of statistical techniques and data mining algorithms. - Proficiency in programming languages (e.g., Python) and strong SQL with an aptitude for learning other analytics tools. - Experience with BI tools like PowerBI or Qlik and ETL tools like Dataiku/Alteryx. - Effective communication skills to present findings to both technical and non-technical stakeholders. Desirable Requirements: - 5+ years of extensive experience in Data and/or Business Analytics, candidates with a background in Financial Data Analytics will be an added advantage. - Bachelor's or Master's degree in a relevant field such as mathematics, statistics, economics, or computer science. - Strong written and verbal communication skills. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients" lives. Ready to create a brighter future together Join our Novartis Network: Not the right Novartis role for you Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up. Benefits and Rewards: Read our handbook to learn about all the ways we'll help you thrive personally and professionally.,

As a skilled candidate for this position, you should possess a minimum of 8 to 10 years of experience in Java, REST API, and Spring Boot. Additionally, you must have hands-on experience with AngularJS, ReactJS, or VueJS. A bachelor's degree or higher in computer science, data science, or a related field is required. Your role will involve working with data cleaning, visualization, and reporting, requiring practical experience in these areas. Previous exposure to an agile environment is essential for success in this position. Your excellent analytical and problem-solving skills will be key assets in meeting the job requirements. In addition to the mandatory qualifications, familiarity with the Hadoop ecosystem and experience with AWS (EMR) would be advantageous. Ideally, you should have a minimum of 2 years of experience with real-time data stream platforms like Kafka and Spark Streaming. Your ability to navigate and utilize the context menu efficiently will also be beneficial in this role. Excellent communication and interpersonal skills will be necessary for effective collaboration within the team and with stakeholders.,

At Kisah, we believe that data drives decisions, and decisions drive success. We are in the process of building a dynamic and data-first organization where accurate and actionable insights power our growth. As a Business Intelligence Analyst, you will have a significant role in shaping our understanding of business performance by managing, transforming, and presenting data in meaningful ways. Role Overview: We are looking for a data-obsessed Business Intelligence Analyst who will be tasked with managing ETL (Extract, Transform, Load) processes and developing critical dashboards across the organization. This position requires an individual who is passionate about consuming and making sense of complex datasets from various sources, cleaning and reconciling data, and presenting it in an accurate, consumable, and visually compelling manner. You will serve as the backbone of our data ecosystem, creating dashboards that support decision-making in key areas such as sales, supply chain, and operations, all while ensuring data accuracy and storytelling for our teams. Key Responsibilities: ETL Processes: - Extract, clean, and transform large datasets from diverse sources, ensuring accuracy and usability. - Automate ETL workflows to enhance data processing efficiency. Dashboard Development & Management: - Develop and maintain dashboards for critical business functions, including sales, supply chain, inventory planning, and operations metrics. - Ensure dashboards convey a story through clean, consumable visuals that enable actionable insights. Data Integration: - Reconcile sales data from multiple marketplaces with financial data (e.g., Statement of Accounts). - Merge datasets from disparate sources to create unified views for strategic decision-making. Cross-Functional Collaboration: - Collaborate closely with teams across sales, operations, finance, and supply chain to understand data needs and deliver tailored solutions. - Support data-driven decision-making across the organization by providing timely and accurate insights. Data Accuracy & Consistency: - Monitor data pipelines and reports to ensure accuracy and proactively identify discrepancies. - Maintain a focus on cleaning and validating data for accuracy and reliability. Data Storytelling: - Present complex data insights in a manner that is easy to understand, actionable, and visually appealing. Qualifications & Skills: Technical Proficiency: - Advanced skills in Excel, Power Query, and Power BI. - Strong experience in managing ETL workflows and working with large datasets. - Familiarity with SQL, data cleaning, and data reconciliation techniques. Education & Experience: - 2+ years of experience in a similar data-driven role, preferably in e-commerce, retail, or a fast-paced environment. - Bachelor's degree in Business Analytics, Data Science, Computer Science, or a related field. About Us: Kisah Apparels Private Limited is a fast fashion mens ethnic-wear brand known for its innovative products, edgy designs, and premium-quality appealing to young consumers who look for affordable high fashion. Since its inception, Kisah has been growing 50% YoY and has demonstrated market leadership in fashion e-commerce. Kisah is backed by marquee investors and is now aiming to grow exponentially across multiple channels within and outside India. With this significant growth in the pipeline and a commitment to deliver exceptional customer experiences, we are continuously evolving our finance and operations to meet the demands of our expanding customer base.,

The Data Processing Manager will be a key member of the newly formed India-based DMD Hub, supporting quantitative healthcare market research projects across global markets. This role is responsible for the accurate and timely production of tabulations, both interim and final, and requires close collaboration with research, project management, and scripting teams. You will be running and validating interim and final tabulations for quantitative research studies using relevant software such as Q, Quantum, SPSS, Excel-based platforms, or proprietary tools. It is crucial to ensure all tabulations meet internal and client-specific formatting, logic, and output requirements. You will be responsible for checking tabulated data for accuracy, completeness, and consistency before delivery. Additionally, you will support QA processes and documentation to maintain high data standards across projects. Your role will involve assisting in preparing raw datasets for processing, including basic cleaning, formatting, and consistency checks. You will work with coded and uncoded datasets, ensuring proper integration into final tabulation outputs. Collaboration with the scripting/programming team is essential to ensure accurate data structure for tabulation. It is important to work closely with the research and project management teams to understand project requirements, timelines, and deliverables. Your input and feedback to internal stakeholders will be valuable in optimizing processes and outputs. Managing assigned tasks within deadlines and proactively flagging any delays or data issues to the manager and wider team will be part of your responsibilities. Maintaining clear documentation of tabulation processes and version control is necessary. You will support in updating project logs and workflow tracking systems. Continuous improvement of knowledge of data processing tools, tabulation best practices, and healthcare market research processes is expected. Furthermore, you will provide training, mentorship, and professional development to the DP team. Skills and Experience: - More than 8 years of experience in data processing within a market research agency, preferably in healthcare but other market research sectors will also be considered. - Strong proficiency in data tabulation software, preferably Q, but experience with Quantum or similar tools will be recognized. - Exposure to or understanding of survey scripting tools and survey data structures is advantageous. - Knowledge of data cleaning, validation, coding (open-ends), and cross-tabulation methodologies. - Experience working with survey data formats (e.g., XML, CSV), as well as knowledge of relational databases and data structure management. - Understanding of quantitative research methodologies, questionnaire structures, and healthcare market research best practices. - Experience with data mapping, data transformations, and structuring for reporting purposes. - Problem-solving skills, particularly in situations requiring analytical judgment and establishing best practice solutions. - Skilled in handling complex datasets, multiple data sources, and large volumes of data efficiently. - Strong communication skills, particularly in explaining technical points to non-technical individuals in an international environment. - Ability to identify process improvement opportunities and implement SOPs for efficiency. - High attention to detail with a strong focus on data accuracy and consistency. - Logical thinking and ability to troubleshoot errors or discrepancies in tabulated data. - Ability to interpret tabulation specifications and apply them accurately. Our company values diversity and inclusivity. If you are excited about this role but do not meet every job requirement, we encourage you to apply. Your unique experience and perspective may make you the perfect fit for this position or other opportunities within our organization.,

About the Opportunity: Join a dynamic leader in the education sector that leverages advanced data analytics to drive institutional excellence. Operating in a technology-driven environment, this high-growth organization empowers its teams with a comprehensive data strategy. As a critical part of the on-site team based in India, you will help transform data into actionable insights that support strategic decision-making. Role & Responsibilities: Develop, optimize, and maintain complex SQL queries to support data extraction and reporting. Analyze large datasets to identify trends, correlations, and actionable insights to drive business decisions. Design and implement data models and warehousing solutions to improve reporting accuracy and performance. Collaborate with cross-functional teams to understand data requirements and translate business needs into technical solutions. Create and maintain dashboards and visual reports to present insights to stakeholders. Ensure data integrity and implement best practices for data cleaning and transformation. Skills & Qualifications: Must-Have: Proficiency in SQL with proven experience in writing efficient queries and managing large datasets. Must-Have: 1-3 years of hands-on experience in data analysis and developing data models in a high-paced environment. Must-Have: Strong analytical skills. Benefits & Culture Highlights: Work in a collaborative and innovative on-site environment with opportunities for professional growth. Be part of a mission-driven team that values data-driven insights and continuous learning. Health Insurance. Provident Fund. If you are a detail-oriented SQL Data Analyst ready to leverage your analytical expertise in a vibrant, on-site setting in India, we encourage you to apply and join our transformative team.,

About Us At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities, and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We're devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow, and make an impact, along with the power to make a difference. Join us! Global Business Services Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations. Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence, and innovation. In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services. Process Overview Document, Content & Record Services Technology (DCRS) is an enterprise-wide capability, managing documents, e-signature transactions, and the creation, storage, and fulfillment of billions of letters and statements annually. DCRS capabilities are at the forefront of the digital evolution as they drive a significant reduction in paper and manual processes. Job Description - 7+ years as Data Scientist or related roles - Deep understanding and some exposure to new Gen AI Open-source Models - At least 5 years programming experience in software development and Agile processes - At least 5 years Python (or equivalent) programming experience to work with ML/NLP models - We're looking for a Python Developer who can be responsible for designing, building, and maintaining document capture applications - The ideal candidate will have a solid background in software engineering with experience in building Machine Learning & NLP Models and good familiarity with Gen AI Models Responsibilities - Building Machine Learning & NLP Models and knowledge of new Gen AI Open-source Models Requirements - Experience in setting up supervised & unsupervised learning ML/NLP models including data cleaning, data analytics, feature creation, model selection & ensemble methods, performance metrics & visualization - Experience in ML/NLP development pipelines of large datasets, both structured & unstructured - At least 2 years" experience in designing and developing enterprise-scale ML/NLP solutions in one or more of: Named Entity Recognition, Document Classification, Document Summarization, Topic Modeling, Dialog Systems, Sentiment Analysis, OCR text processing - Knowledge and hands-on experience working with OCR products Education - Bachelors /masters degree in computer science/data science, or a related technical field - Certifications If Any: NA Experience Range - 06 Years To 12 Years Foundational Skills - Good experience as Data Scientist or related roles - Deep understanding and some exposure to new Gen AI Open-source Models - At least 5 years programming experience in software development and Agile processes - At least 5 years Python (or equivalent) programming experience to work with ML/NLP models - Experience in setting up supervised & unsupervised learning ML/NLP models including data cleaning, data analytics, feature creation, model selection & ensemble methods, performance metrics & visualization - Experience in ML/NLP development pipelines of large datasets, both structured & unstructured - At least 2 years" experience in designing and developing enterprise-scale ML/NLP solutions in one or more of: Named Entity Recognition, Document Classification, Document Summarization, Topic Modeling, Dialog Systems, Sentiment Analysis, OCR text processing - Knowledge and hands-on experience working with OCR products Desired Skills - Collaborating with a diverse set of partners and stakeholders from various Lines of Business - Highly motivated, proactive, and a self-starter; strong sense of ownership & ability to create and execute plans without daily oversight - Critical thinker: ability to analyze problems and identify issues and provide solutions - Ability to navigate the enterprise & data assets across multiple functions - Highly organized - Effectively prioritizes and balances multiple efforts in a fast-paced environment - Excellent communication and Presentation skills - Analytical abilities & great problem-solving skills Work Timings - 11:00 AM to 8:00 PM IST Job Location - Mumbai, Gurugram, GIFT, Chennai,

As a Java Developer, you will be responsible for utilizing your 8 to 10 years of experience in Java, REST API, and Spring boot to develop efficient and scalable solutions. Your expertise in Angular JS, React JS, or View JS will be essential for creating dynamic and interactive user interfaces. A Bachelors degree or higher in computer science, data science, or a related field is required to ensure a strong foundation in software development. Your role will involve hands-on experience with data cleaning, visualization, and reporting, enabling you to contribute to data-driven decision-making processes. Working in an agile environment, you will apply your excellent analytical and problem-solving skills to address complex technical challenges effectively. Your communication and interpersonal skills will be crucial for collaborating with team members and stakeholders. Additionally, familiarity with the Hadoop ecosystem and experience with AWS (EMR) would be advantageous. Having at least 2 years of relevant experience with real-time data stream platforms like Kafka and Spark Streaming will further enhance your capabilities in building real-time data processing solutions. If you are a proactive and innovative Java Developer looking to work on cutting-edge technologies and contribute to impactful projects, this role offers an exciting opportunity for professional growth and development.,

You will be joining our team as a Data Collection Specialist, where your main responsibility will be to gather, organize, and validate data from various sources to ensure accuracy and relevance for supporting our company's data-driven decisions. Your key responsibilities will include collecting data from websites, databases, APIs, and other relevant platforms. You will review the collected data for accuracy and completeness, rectifying any errors or inconsistencies. It will be essential to accurately input data into spreadsheets, databases, or other software systems, and cleaning and preprocessing data to ensure data quality by eliminating duplicate records and irrelevant information. Furthermore, you will organize and categorize data into structured formats to facilitate analysis and reporting. You will also be expected to identify and explore new data sources to enhance our data collection capabilities, maintain data integrity by conducting regular quality checks, and resolving any discrepancies. Collaboration with cross-functional teams to understand their data needs and provide support in data collection and analysis will also be a part of your role. As for the requirements, a high school diploma or equivalent is necessary, with a preference for candidates with an IT background. Proven experience in data collection, data entry, or related roles will be advantageous. Proficiency in data management and spreadsheet software, such as Excel and Google Sheets, is required. Strong attention to detail, the ability to identify data discrepancies, basic knowledge of data validation and cleaning techniques, good communication skills, and the ability to work collaboratively with team members are also essential qualities for this role.,

Experience – 8+ years in Data analyst/Developer experience Mandatory Skills – Compliance Regulatory reporting, ETL, Data Analysis (Data Cleansing, Data validation, Data Mapping & Solutioning) Work Shift- Afternoon Shift Timing – 1.00 pm to 10.00 pm

You will be working with HCL Software, a product development division of HCL Tech, to deliver software solutions that cater to the transformative needs of clients worldwide. The software developed by HCL Software spans across AI, Automation, Data & Analytics, Security, and Cloud domains, receiving accolades for its innovation and quality. Your primary focus will be on the Unica+ Marketing Platform, a product that empowers clients to execute precise and high-performance marketing campaigns across various channels such as social media, AdTech platforms, mobile applications, and websites. This platform, driven by data and AI, enables clients to create hyper-personalized offers and messages for customer acquisition, product awareness, and retention. As a Senior & Lead Python Developer specializing in Data Science and AI/ML, you are expected to leverage your 8+ years of experience in the field to deliver AI-driven marketing campaigns effectively. Your responsibilities will include Python programming, statistical analysis and modeling, data cleaning and preprocessing, SQL and database management, exploratory data analysis, machine learning algorithms, deep learning frameworks, model evaluation and optimization, and deployment of machine learning models. To excel in this role, you must possess a minimum of 8-12 years of Python development experience, with at least 4 years dedicated to data science and machine learning. Additionally, familiarity with Customer Data Platforms (CDP) like Treasure Data, Epsilon, Tealium, Adobe, Salesforce, and AWS SageMaker will be advantageous. Proficiency in integration tools and frameworks such as Postman, Swagger, and API Gateways is desired, along with expertise in REST, JSON, XML, and SOAP. A degree in Computer Science or IT is a prerequisite for this position. Excellent communication and interpersonal skills are essential, as you will be collaborating within an agile team environment. Your ability to work effectively with others and apply agile methodologies will be crucial for success. The role may require approximately 30% travel, and the preferred location is Pune, India. If you meet the qualifications and possess the necessary skills, we invite you to consider joining our dynamic team at HCL Software to contribute to cutting-edge software solutions and drive innovation in the field of data science and AI/ML.,

We are looking for a highly motivated and experienced data scientist to lead our team of Gen-Ai Engineers. As a data scientist, you will oversee all processes from data extraction, cleaning, and pre-processing to training models and deploying them to production. The ideal candidate will have a strong passion for artificial intelligence and will stay updated with the latest advancements in this field. Your responsibilities will include utilizing frameworks like Langchain to develop scalable AI solutions, integrating vector databases such as Azure Cognitive Search, Weavite, or Pinecone to support AI model functionalities, and collaborating with cross-functional teams to define problem statements and prototype solutions using generative AI. It will also involve ensuring the robustness, scalability, and reliability of AI systems by implementing best practices in machine learning and software development. You will be required to explore and visualize data to gain insights, identify differences in data distribution that could impact model performance in real-world deployment, verify and ensure data quality through data cleaning, supervise the data acquisition process if additional data is needed, find and utilize available datasets for training, define validation strategies, feature engineering, and data augmentation pipelines, train models, tune hyperparameters, analyze model errors, and devise strategies to overcome them. You will also be responsible for deploying models to production. The ideal candidate should have a Bachelors/Masters degree in computer science, data science, mathematics or a related field, along with 3-10 years of experience in building Gen-Ai applications. Preferred skills include proficiency in statistical techniques such as hypothesis testing, regression analysis, clustering, classification, and time series analysis, expertise in deep learning frameworks like TensorFlow, PyTorch, and Keras, specialization in Deep Learning (NLP) and statistical machine learning, strong Python skills, experience in developing production-grade applications, familiarity with Langchain framework and vector databases, understanding and experience with retrieval algorithms, working knowledge of Big data platforms and technologies like Apache Hadoop, Spark, Kafka, or Hive, and familiarity with deploying applications on Ubuntu/Linux systems. Excellent communication, negotiation, and interpersonal skills are also essential for this role.,

As a member of the 7-Eleven Global Solution Center team, you will have the opportunity to take ownership and responsibility within specific product areas, contributing to end-to-end solution delivery. You will support local teams and integrate new digital assets while challenging yourself to work on products deployed across a vast network of convenience stores processing over a billion transactions annually. Your role will involve building scalable solutions to address the diverse needs of 84,000+ stores in 19 countries. At 7-Eleven GSC, you will experience growth through cross-functional learning opportunities and be encouraged to embody leadership and service in meeting the needs of customers and communities. We are guided by our Leadership Principles at 7-Eleven, each of which is associated with specific behaviors that help us serve customers and support stores effectively. As a part of the team, you will be expected to be customer-obsessed, courageous in expressing your views, challenge the status quo, act like an entrepreneur, maintain a can-do attitude, do the right thing, and be accountable for your actions. 7-Eleven Global Solution Center is currently seeking a highly skilled senior AI/ML engineer to design, implement, and deploy innovative and efficient AI/ML solutions. The ideal candidate will possess extensive experience in Langchain, NLP, RAG-based systems, Prompt Engineering, Agentic Systems, and cloud platforms such as Azure and AWS. You will be responsible for building AI-driven applications and optimizing Langchain, Gen AI, and NLP models for specific use cases. Additionally, you will experiment with different machine learning models, propose feasible solutions quickly, and communicate effectively with leadership. The qualifications required for this role include 3-5 years of experience in AI/ML engineering, proficiency in Python and machine learning frameworks like TensorFlow and PyTorch, expertise in Generative AI, NLP, and conversational AI technologies, and experience in building and deploying AI-powered applications at scale. You should also have a strong understanding of machine learning algorithms, structured and unstructured data, model evaluation metrics, and business requirements translation into technical requirements. A bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, or a related field is necessary, along with familiarity with Git versioning tools and exposure to the retail industry. At 7-Eleven Global Solution Center, we are committed to diversity in the workplace and focus on workplace culture, diverse talent, and our engagement with the communities we serve. We embrace diversity, equity, and inclusion as a business imperative, recognizing the importance of these aspects for our customers, franchisees, and employees. In addition to a challenging and rewarding career, 7-Eleven Global Solution Center offers a comprehensive benefits plan to improve the overall experience of our employees. This plan includes flexible work schedules, diverse leave options, medical coverage for family members, transportation, cafeteria facilities, certification and training programs, and support for employee relocation to Bangalore, India.,