256 Data Cleaning Jobs - Page 2

At Dark Matter Technologies, you are part of a cutting-edge revolution in loan origination. The company's commitment to advanced AI and origination technology solutions is reshaping the industry landscape, paving the way for seamless, efficient, and automated experiences. As a Senior Data Scientist at Dark Matter Technologies, you will play a pivotal role in applying data science and machine learning techniques to tackle complex business challenges and foster innovation. With a minimum of 10 years of experience in the field, your expertise will be pivotal in designing, developing, and implementing sophisticated models for regression, predictions, ranking, and trend analysis. Your responsibilities will include selecting features, building, and optimizing classifiers using machine learning techniques, conducting hypothesis testing, and developing predictive models. Collaborating with cross-functional teams, including data engineers, front-end developers, and security specialists, you will integrate AI models into business solutions. Additionally, you will conduct research and experiments to enhance AI models and algorithms, staying updated on the latest AI/ML technologies and trends. To excel in this role, you must possess at least 10 years of experience in Predictive Analytics and Data Mining, with hands-on expertise in areas such as Linear Regression, Classification Techniques, Logistic Regression, and Unsupervised Learning techniques like k-means/hierarchical clustering. Proficiency in Optimization methods, working in R/Python, T-SQL, and graph-based models is essential. Hands-on experience with Python, Azure Machine Learning, and other Azure AI tools is highly desirable. Your role will involve developing and deploying machine learning models for various use cases, optimizing models through advanced feature engineering, working with large-scale datasets, and collaborating with stakeholders to design data science solutions that address organizational needs. Strong problem-solving skills, solid understanding of statistical analysis and machine learning algorithms, and excellent communication skills are key attributes for success in this position. Preferred skills include exposure to machine learning libraries like Scikit-learn, TensorFlow, or PyTorch, leveraging Azure Machine Learning for data pipelines, experiments, and deployments, and implementing end-to-end AI solutions using Azure AI services. Certification in Microsoft Azure AI relative to Azure Machine Learning, expert database knowledge in SQL, and proficiency in Azure Data Services are advantageous. Join Dark Matter Technologies to be at the forefront of data science innovation and contribute to reshaping the future of loan origination through advanced AI technologies and solutions.,

Join our team as a Workday Data Conversion Specialist Consultant and contribute to the successful migration of data into our systems. You will play a critical role in ensuring data integrity, accuracy, and seamless transition from legacy systems to our new platform. You will also work closely with key stakeholders to drive data migration efforts, perform quality assurance, and enhance data processes. **Your missions:** - Conduct data conversion, migration, and cleaning from multiple source systems. - Create, EIBs and Advanced Loads to convert and validate data into the Workday system. - Identify anomalies in data and rectify conversion errors. - Develop and utilize data mapping tools to support conversion efforts. - Collaborate with project teams and stakeholders to meet project milestones. **Your profile:** - Bachelor's degree in Computer Science, Information Systems, or a related field. - Active HCM Workday certification or Data Conversion Certified (Optional). - Proven experience as a Data Conversion Specialist or in a similar role. - Strong understanding of data conversion methodologies, tools, and best practices. - Exceptional problem-solving abilities and keen attention to detail. - Excellent time management skills and ability to handle multiple tasks simultaneously. **What We Offer:** - An international community bringing together 110+ nationalities. - An environment where trust has a central place: 70% of our key leaders started their careers at the first level of responsibilities. - A robust training system with our internal Academy and 250+ available modules. - A vibrant workplace that frequently gathers for internal events (afterworks, team buildings, etc.). - Strong commitments to CSR notably through participation in our WeCare Together program.,

PharmaACE is a growing Global Healthcare Consulting Firm, headquartered in Princeton, New Jersey. Our expert teams of Business Analysts, based across the US, Canada, Europe, and India, provide Analytics and Business Solutions using our worldwide delivery models for a wide range of clients. Our clients include established, multinational BioPharma leaders and innovators, as well as entrepreneurial firms on the cutting edge of science. We have deep expertise in Forecasting, Business Analytics, Competitive Intelligence, Sales Analytics, and the Analytics Center of Excellence Model. Our wealth of therapeutic area experience cuts across Oncology, Immuno-science, CNS, CV-Met, and Rare Diseases. We support our clients" needs in Primary Care, Specialty Care, and Hospital business units, and we have managed portfolios in the Biologics space, Branded Pharmaceuticals, Generics, APIs, Diagnostics, and Packaging & Delivery Systems. If you are keen to work on analytical problem solving, then work in the area of advance data analytics/sciences to provide consulting to pharmaceutical clients. We are open for the Delhi location as well along with Hyderabad. Responsibilities: - Analyze different pharmaceutical / life sciences data sets like claims data, electronic medical records, anonymous patient level data, prescription data & sales data, promotional data - Communicate results to clients and onshore team members - Develop client relationships and serve as an offshore key point of contact for the project - Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress - Analyzing the AI/ML algorithms that could be used to solve a given problem and ranking them by their success probability - Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world - Verifying data quality, and/or ensuring it via data cleaning - Supervising the data acquisition process if more data is needed - Defining validation strategies - Defining the preprocessing or feature engineering to be done on a given dataset - Defining data augmentation pipelines - Training models and tuning their hyperparameters - Analyzing the errors of the model and designing strategies to overcome them - Knowledge on Deep learning techniques is an added advantage - Deploying models to production - Interpreting and analyzing both qualitative and quantitative data points; hypothesis building with Strong excel and PPT skills - Process automation using SQL/Python/Other available technologies/ETL Tools etc Qualifications: - Bachelors or Masters in Engineering - 1-8 years of pharma / life science consulting job experience - High motivation, good work ethic, maturity, and personal initiative - Strong oral and written communication skills - Strong excel and PowerPoint skills - Adherence to client specific data privacy and compliance policies - Knowledge on various commonly used transactional data assets and others including Volumes/ Value, Rx, Specialty level, Longitudinal Patient level data assets.,

As a Machine Learning Engineer in our Bangalore, India office, you will utilize your 4+ years of experience to design, develop, and deploy scalable machine learning models that enhance our products and services. Your passion for data will drive you to collaborate with cross-functional teams and leverage the latest advancements in machine learning and AI to optimize internal processes and enhance customer experience. Your responsibilities will include designing and implementing ML models for production, collaborating with data scientists and engineers to address business needs, performing data cleaning and feature engineering, evaluating model performance, and managing the lifecycle of ML models. You will also implement MLOps best practices, stay updated on industry trends, and ensure model accuracy and data integrity. Preferred skills for this role include experience with deep learning architectures, NLP, and computer vision, familiarity with big data tools like Spark and Hadoop, knowledge of SQL and data warehousing solutions. This full-time, permanent position will have a day shift schedule from Monday to Friday, with work location required in-person. If you are a proactive and dedicated Machine Learning Engineer with a drive for innovation and a keen eye for data optimization, we invite you to join our dynamic team and make a real impact through the power of machine learning.,

The key responsibilities of this role include managing end-to-end implementation of field and digital projects, ensuring timely updates and coordination with internal and external stakeholders. You will be required to coordinate with internal teams such as tech, operations, finance, and customer success to support seamless execution. Additionally, you will need to extract, clean, and analyze data for reporting and decision-making using tools like Excel and dashboards. Supporting research, documentation, and partnership building for emerging business opportunities is also a crucial part of this role. Effective communication with vendors and clients to ensure timely data and updates delivery for smooth relationship management is essential. In terms of campaign development and execution, you will be responsible for developing and executing offline marketing campaigns, events, and brand activations tailored to rural markets. Leading the execution of marketing programs from inception to completion, driving collaboration with stakeholders, and utilizing internal processes for smooth execution are also part of the job. Enhancing product awareness, consideration, and differentiation in alignment with the overall strategic marketing plan is a key aspect of this role. You will also be required to maintain an up-to-date knowledge of market trends and developments. Devising and presenting innovative ideas and strategies to leverage these trends for marketing success is a crucial responsibility. Collaboration and partnership are also important, as you will need to partner with creative teams, internal stakeholders, external agencies, clients, and vendors to deliver impactful marketing campaigns. Identifying and establishing partnerships with local influencers, vendors, and community leaders to amplify brand impact is also part of the role. The ideal candidate should have a proven ability to identify opportunities and deliver effective strategies to generate results. High proficiency in data cleaning and analysis, excellent written and verbal communication skills, and the ability to learn in a fast-paced environment are also essential qualifications. This is a full-time position with benefits including health insurance and provident fund. The work schedule involves day and morning shifts, and the work location is in person.,

At Allucent, we are dedicated to assisting small-medium biopharmaceutical companies in efficiently navigating the complex world of clinical trials to bring life-changing therapies to patients in need across the globe. The Clinical Data Manager I (CDM1) plays a crucial role in supporting various data management activities within the Allucent Data Management (DM) department. This position involves collaborating with other Allucent Clinical Data Managers (CDMs) and Clinical Programmer(s) to ensure the quality standards and regulatory requirements for analysis and reporting are met. Your key tasks in this role will include: - Assisting in various data management tasks and collaborating with Lead DMs and relevant roles within Data Management - Providing feedback and status updates to Lead DM regarding progress, timelines, risk, and quality - Supporting the development, review, and maintenance of project-specific DM documents - Participating in database User Acceptance Testing (UAT) related tasks - Reviewing and validating clinical data to ensure consistency, accuracy, integrity, and completeness - Supporting various data transfers and reconciliation activities - Creating training materials for EDC users - Conducting Quality Review checks during studies and documenting findings - Supporting database maintenance, lock, and close-out processes - Identifying and solving potential problems and evaluating effectiveness - Maintaining DM study documentation and ensuring all filing is up to date - Supporting internal and external audits by collecting necessary documentation - Aligning data management and clinical programming best practices within the company - Proposing and supporting initiatives for improving efficiency and contributing to staff learning and development To be successful in this role, you will need: - A degree in life science, healthcare, or a related field - Minimum 6 months of relevant work experience in data management, CRA, or clinical database programming - Basic knowledge of ICH-GCP, GDPR/HIPPA, and regulatory requirements - Experience with electronic data capture (EDC) software systems and clinical study management tools - Strong communication skills and proficiency in English language - Ability to work in a fast-paced environment and attention to detail - Proficiency in computer applications such as Word, Excel, and PowerPoint The benefits of working at Allucent include a comprehensive benefits package, competitive salaries, training budget, flexible working hours, remote/hybrid working opportunities, leadership and mentoring programs, internal growth opportunities, and more. Please note that our hybrid work policy encourages a dynamic work environment, with 2 days in the office per week for employees within a reasonable distance from our global offices. Allucent does not accept unsolicited resumes from third-party recruiters. Candidates should not be submitted directly to our hiring managers or human resources.,

We are hiring Data Entry Operators to support GIS-related projects at our clients location. The role involves accurate entry, verification, and management of spatial and non-spatial data. Freshers and candidates with relevant experience are welcome to apply. Key Responsibilities: Enter and update GIS-related data into systems and databases. Verify, validate, and ensure accuracy of information entered. Maintain records, documents, and reports as per project requirements. Assist the GIS team with data formatting, cleaning, and organization. Follow project guidelines and meet daily/weekly targets. Coordinate with supervisors and ensure timely task completion. Key Skills & Competencies: Basic knowledge of computers and MS Office (Excel, Word). Familiarity with GIS tools/software will be an added advantage. Good typing speed with high accuracy. Attention to detail and ability to work with repetitive tasks. Strong discipline, punctuality, and ability to work at client site.

As an Associate at BOD Consulting, you will be a key member of our dynamic team based in Delhi, with a preference for candidates from Ghaziabad, Noida, or East Delhi. BOD Consulting is a boutique management consulting firm that specializes in brand strategy, business transformation, and growth solutions. Our mission is to partner with visionary businesses to unlock their full potential by blending research, strategy, and creativity to build epic brands across diverse industries. In this role, you will actively contribute to strategy, ideation, and execution, with a strong emphasis on data-driven decision-making, consumer insights, and business strategy. Your responsibilities will include analyzing data to derive actionable insights, managing data acquisition, tabulation, cleaning, and analysis processes, conducting qualitative and quantitative research, and translating research findings into actionable insights and presentations. Additionally, you will be involved in analyzing competitor and market landscapes to develop strategic recommendations, supporting brand development initiatives, marketing campaigns, and growth strategy projects, and participating in client workshops, brainstorming sessions, and stakeholder interviews to co-create solutions. To qualify for this position, you should hold a degree in business management or a related field, with 0-2 years of work experience in data analysis, research, or marketing strategy. Proficiency in data acquisition, tabulation, cleaning, and analysis, as well as strong communication skills, both written and verbal, are essential. You should also possess the ability to collaborate with multiple stakeholders, demonstrate a curious mindset, and be open to continuous learning and growth opportunities. Working at BOD Consulting offers you the chance to engage in exciting, high-impact projects across various industries, within an inclusive team that values fresh ideas and fosters a learning-focused environment. You will have direct exposure to client engagements and leadership discussions, with fast-tracked growth opportunities for high performers. This is a full-time position with benefits such as health insurance, Provident Fund, and a yearly bonus. The work schedule is during the day shift, and the expected start date for this role is 12/05/2025. If you are a motivated individual who is passionate about making a meaningful impact through strategic consulting, we invite you to join our team at BOD Consulting.,

You will be joining a forward-thinking tech company as a Data Analyst Trainee, working remotely with a talented team of professionals. Your role will involve assisting experienced data analysts in transforming data into actionable insights through tasks such as data collection, cleaning, analysis, and reporting. This position offers a valuable opportunity to enhance your analytical skills while contributing to real business outcomes. Responsibilities: - Assist in collecting, cleaning, and preprocessing data from various sources. - Perform data analysis to identify trends, patterns, and correlations. - Create and maintain dashboards and reports for stakeholders. - Develop and implement basic data models and statistical analysis techniques. - Support the team in conducting exploratory data analysis (EDA). - Visualize data through graphs and charts to effectively communicate insights. - Collaborate with team members to identify key performance indicators (KPIs) and business metrics. - Help document data processes and maintain data quality standards. - Learn and apply best practices for data analysis and reporting. Requirements: - Currently pursuing or recently completed a degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. - Basic knowledge of data analysis tools and languages (e.g., Excel, SQL, Python, or R). - Strong analytical mindset and attention to detail. - Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus. - Passion for learning and developing new analytical skills. - Ability to work independently and collaborate effectively in a remote environment. - Strong communication skills and ability to present data insights clearly and concisely. - Time management skills and the ability to meet deadlines. Preferred Skills (optional But Advantageous): - Basic knowledge of statistical analysis and hypothesis testing. - Experience with data wrangling and cleaning techniques. - Understanding of data storage systems, such as relational databases. - Familiarity with machine learning concepts or algorithms is a bonus.,

As a Clinical Data Management (CDM) professional, you will be responsible for overseeing the full lifecycle of clinical data management processes. Your role will involve ensuring the quality and integrity of clinical trial data, developing and implementing data management plans, and monitoring data entry and validation processes. You will coordinate with clinical teams to ensure timely data collection and conduct data cleaning and review activities. Additionally, you will be preparing data for statistical analysis and reporting while ensuring compliance with regulatory requirements and industry standards. Participating in protocol development and study design, utilizing data management software for efficient data handling, and facilitating communication between project stakeholders are key aspects of your role. You will also be identifying and resolving data discrepancies in a timely manner, providing training and support to junior data management staff, and generating data visualization and reports for project updates. Collaboration with cross-functional teams to streamline processes will be essential in this position. To qualify for this role, you should hold a Bachelor's or Master's degree in Life Sciences or a related field with at least 10 years of experience in clinical data management. Proven experience with data management software and tools, a strong understanding of clinical trial methodologies, and knowledge of regulatory guidelines such as ICH-GCP and FDA are required. Familiarity with statistical software like SAS and SPSS is preferred, along with excellent analytical and problem-solving skills, attention to detail, and strong communication and interpersonal skills. Proficiency in MS Office Suite (Excel, Word, PowerPoint), organizational skills, data visualization, database management, and regulatory compliance are essential for success in this role. Project management experience, professional certification in Clinical Data Management, and the ability to manage multiple projects with competing priorities are advantageous. Your willingness to work on-site in India, strong organizational skills, and the ability to meet deadlines will contribute to your effectiveness in this position.,

As an Analyst - Media Monitoring with Annalect India, you will be responsible for utilizing various tools and techniques to identify and compile relevant media articles and broadcast clips for reporting purposes. Your role will involve using RSS reader software, conducting Google News searches, and working with broadcast monitoring software to gather necessary information. Additionally, you will be generating email-based alerts, supporting ongoing development tasks, and assisting with data collection and synthesis efforts for research and communications initiatives. Annalect India is an essential part of Annalect Global and Omnicom Group, a leading global marketing communications company. Our portfolio includes renowned advertising agency networks and media services, and we are seeking talented professionals to join our rapidly growing team. To excel in this role, you should have 3 to 5 years of experience using Google News and familiarity with RSS platforms like Feedly. Experience with broadcast monitoring platforms, particularly Critical Mention, is strongly preferred. Strong written and verbal communication skills in US English are essential, along with the ability to work flexibly in US hours. You should be proficient in Microsoft Office, especially Excel and PowerPoint, and possess the capability to analyze data effectively to extract key insights. In addition to the primary responsibilities, you may be involved in completing landscape analyses, evaluating social channels, and conducting data pulls from social listening topics. The ability to make independent decisions, receive constructive feedback, and work collaboratively with the team is crucial for success in this role. While not mandatory, experience with Media Monitoring and Social Listening tools like Talkwalker, Brandwatch, Sprinklr, and others would be advantageous. If you are looking to contribute your expertise to a dynamic and innovative environment, Annalect India welcomes you to be part of this exciting journey.,

The Junior Data Analyst plays a vital role within the organization, responsible for converting data into actionable insights that facilitate decision-making. This entry-level position caters to individuals passionate about data analysis, aiming to enhance their analytical capabilities while contributing to the company's overall success. Working closely with senior analysts and team members, the Junior Data Analyst collaborates in data collection from diverse sources, trend analysis, and report generation. By utilizing statistical techniques and data visualization tools, the analyst identifies patterns and opportunities for improvement. The significance of this role lies in its ability to influence strategic initiatives, boost operational efficiency, and propel business growth through well-informed decision-making. Ideal for those embarking on a career in data analysis, applicants should possess a solid foundation in analytical skills and statistical methodologies. Key Responsibilities: - Assisting in data collection and cleansing from various sources. - Performing statistical analysis to detect trends and patterns. - Supporting the creation of dashboards and data visualization reports. - Collaborating with team members to delineate data requirements. - Presenting findings to stakeholders and management. - Utilizing Excel, SQL, and other tools for data manipulation. - Conducting regular data quality checks for accuracy assurance. - Generating ad-hoc reports as per management requests. - Documenting data processes and methodologies for future reference. - Extracting meaningful insights from large datasets. - Providing data analyses to support research projects. - Ensuring data integrity across different systems. - Identifying process improvement areas based on data insights. - Staying abreast of industry trends and best practices in data analysis. - Participating in team meetings to discuss project statuses and findings. Required Qualifications: - Bachelor's degree in Data Science, Statistics, Mathematics, or a related field. - Proficiency in SQL and database management. - Strong skills in Microsoft Excel and data visualization tools. - Familiarity with statistical software (e.g., R, Python, or SAS). - Sharp analytical skills with keen attention to detail. - Fundamental grasp of data analysis techniques and methodologies. - Ability to effectively communicate complex data to non-technical stakeholders. - Preferably, internship or project experience in data analytics. - Proactive problem-solving approach with critical thinking abilities. - Eagerness to learn and adapt in a dynamic environment. - Capability to work independently and collaboratively within a team. - Strong organizational and time management capabilities. - Knowledge of data cleaning and preprocessing techniques. - Experience with reporting and data visualization tools (e.g., Tableau, Power BI) is advantageous. - Understanding of business intelligence concepts. Skills: critical thinking, problem-solving, Python, SQL proficiency, reporting tools, data cleaning, data visualization, Power BI, data visualization tools, SAS, statistical analysis, Microsoft Excel, Tableau, R, business intelligence, SQL, communication skills, statistical software,

The Climate Change and Sustainability Practice at IPE Global is renowned for its extensive experience in delivering multiyear and high-impact programmes in collaboration with leading donors, foundations, research institutions, civil society organizations, and public institutions. As an Intern in this practice, you will have the opportunity to work alongside a team of accomplished professionals. Your primary responsibilities will include supporting researchers in the team by: - Conducting literature reviews and background research on GIS and remote sensing applications in climate studies. - Contributing to desk research on policy frameworks that integrate GIS and remote sensing for climate change adaptation and mitigation. - Assisting in the acquisition and preprocessing of geospatial datasets, such as satellite imagery, climate models, and remote sensing data. - Aiding in data cleaning, formatting, and quality assurance to maintain consistency and usability. - Applying spatial analysis techniques like land use/land cover classification, hydrological modeling, and environmental monitoring. - Utilizing GIS software (e.g., ArcGIS, QGIS) and remote sensing tools (e.g., Google Earth Engine) for spatial analysis. - Contributing to visualization efforts, including creating thematic maps, charts, and interactive dashboards. - Supporting the development of reports, presentations, and other research products. - Actively participating in team meetings and discussions. To excel in this role, you should possess: - Educational background: Pursuing or recently graduated with a master's degree in GIS, Remote Sensing, Environmental Science, Geoinformatics, or a related field. - Professional Attributes: A strong understanding of GIS tools like ArcGIS, QGIS, Google Earth Engine, and remote sensing software. Basic programming knowledge in Python, R, or MATLAB for geospatial analysis is preferred. Familiarity with climate data sources, including satellite imagery and climate model outputs. Knowledge of data visualization tools for geospatial analysis. Proficiency in MS Office (Word, Excel, PowerPoint) for reporting and presentation. Strong analytical and problem-solving skills with attention to detail. Ability to collaborate effectively in multi-disciplinary teams. Join us in our mission to address climate change and sustainability challenges through innovative research and impactful programmes.,

The position is based at Altimetrik with base locations in Bangalore, Chennai, Pune, Jaipur, Hyderabad, Gurugram. The ideal candidate should be able to join immediately or within 10 days. As a Machine Learning Engineer, your primary responsibility will be to design and implement ML solutions while architecting scalable and efficient systems. You should be proficient in Machine Learning Algorithms, Data Engineering, ETL/ELT processes, data cleaning, preprocessing, EDA, feature engineering, data splitting, and encoding. Additionally, you should have experience in MLOps, including model versioning, training, experimenting, deployment, and monitoring using tools such as Python, Pandas, TensorFlow, PyTorch, Scikit-learn, Keras, XGBoost, LightGBM, Matplotlib, R, Scala, Java, Git, DVC, MLFlow, Kubernetes, Kubeflow, Docker, Containers, CI/CD deployments, Apache Airflow, Databricks, Snowflake, Salesforce, SAP, AWS/Azure/GCP Data Cloud Platforms, AWS SageMaker, Google AI Platform, Azure Machine Learning, model design and optimization, LLMs models (OpenAI, BERT, LLaMA, Gemini, etc.), RDBMS, NoSQL databases, Vector DB, RAG Pipelines, AI Agent Frameworks, AI agent authentication, deployment, AI security and compliance, and Prompt Engineering. Your secondary skills should include cloud computing, data engineering, and DevOps. You will be responsible for designing and developing AI/ML models and algorithms. Collaboration with data scientists and engineers to ensure the scalability and performance of AI/ML systems will be a key part of your role. To be considered for this position, you should have 12-15 years of experience in AI/ML development, strong expertise in AI/ML frameworks and tools, and excellent problem-solving and technical skills.,

Micoworks is a company dedicated to empowering brands for a better future, with a clear vision and core values driving its mission. By 2030, Micoworks aims to become the leading Brand Empowerment Company in Asia. To achieve this goal, Micoworks emphasizes four key values: WOW THE CUSTOMER, SMART SPEED, OPEN MIND, and ALL FOR ONE. These values underscore the company's commitment to empowering brands, working with agility, and prioritizing customer success through innovation. As an Agentic AI Intern at Micoworks, you will collaborate with a team of engineers, data scientists, and researchers to develop, implement, and optimize AI models and applications. This role offers hands-on experience in AI and machine learning, exposing you to real-world problem-solving scenarios in an office setting. Your responsibilities will include developing and training AI models, working with large datasets for analysis, optimizing AI algorithms, collaborating with cross-functional teams, and contributing to the deployment of AI models under senior team members" supervision. Additionally, you will engage in code reviews, stay updated on AI trends, and assist in enhancing AI tools and applications for business use cases. Desired skills and qualifications for this role include pursuing or recently completing a degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Proficiency in programming languages like Python, R, or Java, along with familiarity with machine learning libraries such as TensorFlow, PyTorch, and Scikit-learn, is essential. Strong analytical skills, knowledge of statistical methods, and the ability to work collaboratively in a team environment are also crucial. Good communication skills are required to effectively convey technical concepts. It would be advantageous to have prior internship experience or personal projects related to AI/ML, knowledge of cloud platforms like AWS, Google Cloud, or Azure, and experience with Natural Language Processing (NLP) or Computer Vision (CV). Join Micoworks to gain hands-on experience with cutting-edge AI technologies, receive mentorship from industry experts, and work on real-world AI projects that directly impact business outcomes. You will have the opportunity to thrive in a collaborative, innovative work environment with a flexible, inclusive, and growth-oriented culture.,

As an intern at our company, your main responsibilities will involve conducting market and data research, performing business analytics, managing and maintaining the management information system, collecting, cleaning, and organizing business data to create structured reports, as well as engaging in cold calling and pitching for the company. We are looking for candidates who are available for a full-time (in-office) internship, can commit to starting between 27th Feb'25 and 1st Apr'25, are available for a duration of 1 month, possess relevant skills and interests, are either pursuing or have completed their graduation, have an interest in market research, data management, and business strategy, demonstrate proficiency in Excel, Google Sheets, and data visualization tools (preferably Power BI/Tableau), and are able to join immediately. This is a full-time internship with a day shift schedule and the work location will be in person. If you meet the above criteria and are eager to contribute to our team, we encourage you to apply for this exciting opportunity.,

We are looking for a talented R Analytics professional to join our analytics team. You should have a strong background in data analysis, statistical modeling, and proficiency in the R programming language. Your main responsibilities will include analyzing complex datasets, providing insights, and developing statistical models to support business decisions. You will be expected to utilize R programming to analyze large and complex datasets, perform data cleaning, transformation, and analysis. Additionally, you will be responsible for developing and implementing statistical models such as regression, time series, and classification to provide actionable insights. Conducting exploratory data analysis (EDA) to identify trends, patterns, and anomalies is also a key part of the role. Furthermore, you will need to visualize data through plots, charts, and dashboards to effectively communicate results to stakeholders. Collaboration with cross-functional teams to define business problems and develop analytical solutions is essential. Building and maintaining R scripts and automation workflows for repetitive tasks and analysis is also part of the job. You should stay updated with the latest developments in R packages and data science techniques. Presenting findings and insights to stakeholders through clear, concise reports and presentations is crucial. Providing technical support and guidance to data analysts and scientists on R-related issues, troubleshooting and resolving R code errors and performance issues, developing and maintaining R packages and scripts to support data analysis and reporting, and collaborating with data analysts and scientists to design and implement data visualizations and reports are also part of the responsibilities. Qualifications: - Bachelor's/Master's degree in Statistics, Mathematics, Data Science, Computer Science, or a related field. - Minimum 3-5 years of experience in a senior role specifically focusing on R Language, R Studio, and SQL. - Strong knowledge of statistical techniques (regression, clustering, hypothesis testing, etc.). - Experience with data visualization tools like ggplot2, shiny, or plotly. - Familiarity with SQL and database management systems. - Knowledge of machine learning algorithms and their implementation in R. - Ability to interpret complex data and communicate insights clearly to non-technical stakeholders. - Strong problem-solving skills and attention to detail. - Familiarity with version control tools like Git is a plus.,

You should have experience in data models and reporting packages along with the ability to analyze large datasets and write comprehensive reports. Strong verbal and written communication skills are essential, as well as an analytical mind and inclination for problem-solving. A Masters or PhD in Statistics, Mathematics, Computer Science, Information Technology or related fields is preferred. Your responsibilities will include interpreting data, analyzing results using statistical techniques, and providing ongoing reports. You will be developing and implementing databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality. Acquiring data from primary or secondary sources, maintaining databases/data systems, identifying trends or patterns in complex data sets, and filtering and cleaning data will also be part of your role.,

As an AI/ML Developer, you will be responsible for designing and developing AI applications using LangChain and Agentic AI architectures. Your role will involve implementing RAG pipelines for knowledge retrieval and reasoning tasks, building machine learning models for clustering, regression, and prediction purposes, and fine-tuning deep learning models for text-based or tabular data. Additionally, you will be tasked with performing data cleaning, transformation, and feature engineering, as well as writing efficient Python code for production-quality applications. You will collaborate closely with the team to leverage your expertise in SQL for database querying and preparation, staying updated with the latest techniques in LLMs, Agentic AI, and machine learning. The ideal candidate should possess excellent programming skills in Python, proficiency in SQL, a strong understanding of machine learning algorithms, hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras, and expertise in data preprocessing and cleaning techniques. Preferred skills include prior experience with LLMs and prompt engineering, knowledge of vector databases like Pinecone, FAISS, or ChromaDB, strong analytical thinking, problem-solving abilities, and the capacity to work both independently and collaboratively. If you are passionate about developing intelligent, autonomous AI solutions and driving innovative business applications, this role is perfect for you.,

The selected intern will be responsible for the following day-to-day activities: - Writing and executing basic to intermediate SQL queries for data extraction and reporting. - Assisting in database design, maintenance, and documentation. - Supporting the development of stored procedures, triggers, and views under supervision. - Cleaning, organizing, and validating raw data to ensure accuracy and completeness. - Working with the development and analytics teams to understand data requirements. - Participating in troubleshooting and debugging database-related issues. - Learning and implementing best practices in database performance tuning and indexing. - Creating and maintaining technical documentation for queries, schema, and data flows. - Assisting with data migration and integration tasks for ongoing projects. - Collaborating in daily standups or team meetings to share updates and blockers. The company, Amplicomm, is India's leading e-commerce tech company, partnering with some of the largest national and global brands. With a 90-person-strong team, Amplicomm operates at the forefront of e-commerce innovation through proprietary technology and SOPs that have driven over 10x growth for brands of various sizes. As Amplicomm continues to grow and expand, they are looking to add team members who are passionate about e-commerce and technology.,

As a Machine Learning Engineer, you will be responsible for designing and developing robust analytics models using statistical and machine learning algorithms. Working closely with product and engineering teams, your role involves solving complex business problems, identifying data-driven opportunities, and creating personalized customer experiences. Your main tasks will include building end-to-end machine learning solutions, implementing models in production, and utilizing various data frameworks and tools like Python, Spark, and Databricks. Your key responsibilities will revolve around analytics model development. This will involve analyzing use cases and designing appropriate analytics models tailored to specific business requirements. You will develop machine learning algorithms to drive personalized customer experiences, provide actionable business insights, and apply data mining techniques for tasks such as forecasting, prediction, segmentation, recommendation, and fraud detection. In addition, you will work on data engineering and preparation tasks. This includes extending company data with third-party data to enhance analytics capabilities, improving data collection procedures, and preparing raw data for analysis. You will be responsible for cleaning, imputing missing values, and standardizing data formats using Python data frameworks such as Pandas and NumPy. When it comes to machine learning model implementation, you will implement models considering both performance and scalability using tools like PySpark in Databricks. You will design and build infrastructure to support large-scale data analytics and experimentation, and utilize tools like Jupyter Notebooks for data exploration and model development. To qualify for this role, you should have an undergraduate or graduate degree in Computer Science, Mathematics, Physics, or related fields. While a PhD is preferred, it is not necessary. You should have at least 5 years of experience in data analytics, with a strong understanding of core statistical algorithms like classification and regression analysis. Proficiency in Python-based machine learning libraries, analytics platforms like Databricks, and tools such as Pandas, NumPy, and Jupyter Notebooks is essential. Additionally, you should have at least 4 years of continuous experience with Spark, particularly PySpark implementation.,

You will be joining Dark Matter Technologies, a company leading the tech-driven revolution in loan origination with cutting-edge AI and origination technology solutions. As a Senior Data Scientist, your role will involve building machine learning models, using various algorithms for regression, prediction, and deep learning. You will be responsible for identifying data sources, analyzing data, writing machine code in Python (or Azure ML), and creating models. The job location is in Hyderabad and Bhubaneswar. Your responsibilities will include selecting features, building, and optimizing classifiers using machine learning techniques, conducting hypothesis testing, and developing predictive models. You will collaborate with cross-functional teams to integrate AI models into business solutions, conduct research to improve AI models and algorithms, and stay updated with the latest AI/ML technologies and trends. Additionally, you will implement and deploy AI models using cloud AI services while ensuring the quality and scalability of AI solutions. To qualify for this role, you should have at least 10 years of experience in Predictive Analytics and Data Mining, with hands-on experience in various areas such as linear regression, classification techniques, logistic regression, unsupervised learning techniques, feature reduction methods, and optimization methods. You must be proficient in working with R/Python, T-SQL, and graph-based models, with hands-on development experience in Python. Understanding of Azure Machine Learning and other Azure AI tools is essential, along with proficiency in data modeling, design, SQL development, and deploying machine learning models for key use cases. Preferred skills include exposure to machine learning libraries like Scikit-learn, TensorFlow, or PyTorch, leveraging Azure Machine Learning for managing data pipelines, experiments, and deployments, and implementing end-to-end AI solutions using Azure AI services. Certification in Microsoft Azure AI relative to Azure Machine Learning, expert database knowledge in SQL, and proficiency in Azure Data Services are also advantageous. You should possess strong problem-solving skills, the ability to work independently and as part of a team, excellent communication skills to convey complex technical concepts to non-technical stakeholders, and a solid understanding of statistical analysis and machine learning algorithms. Your role will involve working with large-scale datasets, ensuring efficiency and scalability in data processing, collaborating with stakeholders to design data science solutions, and presenting analytical findings and business insights to project managers and senior leadership. Keeping abreast of new statistical and machine learning techniques is crucial to improve predictive performance.,

You are invited to apply for the position of Senior Data Analyst (Tableau Developer) at TRIARQ Health, a Physician Practice Services company based in Pune, India. As part of our Healthcare Technology division, you will work closely with our team to extract actionable insights from large datasets, using your expertise in data analysis, visualization, and SQL. Your responsibilities will include conducting in-depth data analysis to uncover trends and patterns, translating complex data sets into meaningful insights, proficiently writing SQL queries, designing Tableau dashboards and reports, cleaning and preprocessing data, collaborating with cross-functional teams, and continuously learning and developing your skills in data analysis. To qualify for this role, you should hold a Bachelor's degree in a relevant field, have 3-5 years of experience as a Data Analyst focusing on Tableau and SQL, possess strong analytical and problem-solving skills, and demonstrate proficiency in data visualization techniques. Excellent communication and collaboration skills, as well as the ability to work independently and manage multiple priorities effectively, are also essential for this position. If you are passionate about leveraging data to drive business decisions and are eager to contribute to a dynamic and innovative team, we encourage you to apply for this exciting opportunity by emailing us at jobs@triarqhealth.com. We look forward to welcoming a talented and motivated individual to join our team at TRIARQ Health and help us deliver high-value care through modern patient-cantered practices.,

As a Machine Learning Engineer at our company, you will be responsible for designing, developing, and implementing machine learning models, with a focus on deep learning, reinforcement learning, and predictive modeling. You will leverage popular frameworks such as TensorFlow, PyTorch, Keras, and scikit-learn for AI/ML development. Additionally, you will work on Natural Language Processing (NLP) projects, utilizing tools like NLTK, Langchain, and large language models such as GPT and LLAMA. Your role will involve performing crucial tasks such as data preprocessing, cleaning, and transformation to ensure the efficiency of machine learning pipelines. You will also conduct data exploration and statistical analysis to extract actionable insights from the data. Furthermore, you will use visualization tools like Power BI, Tableau, Matplotlib, Plotly, and Seaborn to create interactive dashboards and visualizations for better understanding and communication of the results. This is a full-time position that requires you to work in-person during day shifts. The ideal candidate will have a Bachelor's degree as their educational background, with a preference for candidates with at least 3 years of total work experience, specifically in artificial intelligence for 3 years. If you are passionate about machine learning, adept at utilizing various frameworks and tools, and have a strong foundation in AI/ML concepts, this role offers an exciting opportunity to contribute to cutting-edge projects and drive innovation within the field.,

Develop ML/AI models for business use cases Perform data cleaning and feature engineering Deploy models into production