114 Data Cleaning Jobs - Page 3

As a Customer 360 Data Intelligence professional, you will be responsible for analyzing data to provide valuable insights and drive business decisions. Your role will involve collecting, cleaning, and preparing data to ensure its accuracy and reliability. Proficiency in data analysis and visualization tools such as SQL, Power BI, and Advanced Excel with Power Query is essential for this position. Your strong analytical and problem-solving skills, coupled with attention to detail, will be key to identifying trends and patterns in the data. Effective communication and presentation abilities are also crucial for sharing your findings with stakeholders. You should be able to work both independently and collaboratively in a fast-paced environment, adapting to changing priorities and deadlines. While not mandatory, knowledge of machine learning and data mining techniques would be advantageous in this role. If you have proven experience in data analysis, business intelligence, or related fields, and are looking to contribute to a dynamic team, we encourage you to apply for this position.,

The AI & Data Intern position at Novasensa in Delhi NCR offers a unique opportunity to work on building a custom AI Assistant aimed at automating experiments, analyzing lab data, and supporting decision-making to promote sustainability. Novasensa is a deep-tech sustainability company focusing on lithium-ion battery and e-waste recycling, contributing to clean energy, circular economy, and India's mineral self-reliance. During the minimum 3-month internship (extendable to 6 months), you will have the chance to use your Python and data skills on a real-world AI system, gaining valuable experience in automation, data visualization, and semantic search. The internship provides mentorship from a startup team working at the intersection of sustainability, engineering, and software, allowing you to contribute to India's green growth and circular economy mission. As an AI & Data Intern, your responsibilities will include programming and automation tasks such as writing Python scripts to process experimental data, automating R&D tasks, and assisting in building backend tools for experiment tracking and analysis. Additionally, you will be involved in data analysis and visualization by analyzing lab results, generating visual summaries, and creating dashboards using tools like Excel, Python (Pandas, Matplotlib), or Streamlit. You will also have the opportunity to contribute to AI Assistant Development by assisting with document parsing, semantic search, and testing and improving the performance of the AI assistant using real lab data. Novasensa is seeking curious and motivated learners with basic to intermediate Python programming skills, an understanding of data structures, functions, file handling, and familiarity with data visualization tools. Exposure to AI tools and an interest in clean energy, recycling, or sustainability are considered advantageous for applicants. Candidates pursuing or recently completing degrees in Computer Science, Data Science, AI, ML, Statistics, Mathematics, or related fields are encouraged to apply. To apply for this internship, please email hr@novasensa.com with your resume in PDF format and a short note (max 300 words) explaining why you want to intern at Novasensa and what you hope to learn and contribute. Applications are reviewed on a rolling basis, and early applicants are preferred. Join Novasensa to utilize your coding skills for a cleaner planet and make a positive impact through innovation and sustainability.,

As a Data Research Associate at Simform, you will be responsible for researching the web using various search engines and social networking sites to identify potential clients interested in outsourcing software services. Your role will involve understanding client personas, identifying key decision-makers such as CEOs, CXOs, and IT Managers, and gathering contact information for valuable prospects. You will be tasked with cleaning and verifying data to ensure that prospects match our target persona and do not have existing outsourcing partners in our competition. Additionally, you will research potential clients" portfolios to understand their business requirements and provide relevant information to our Sales team for pitching services or nurturing relationships. The ideal candidate for this role should have a degree or diploma in Computer Application studies or equivalent. It is essential to stay updated with new technologies and company offerings. Being target-oriented, focused, and energetic is crucial for success in this position. Joining Simform offers you the opportunity to be part of a young team with a thriving culture. Our flat-hierarchical and growth-focused environment provides well-balanced learning and growth opportunities. Employees enjoy benefits such as free health insurance, office facilities with a game zone, an in-office kitchen with affordable lunch service, and free snacks. We also offer sponsorship for certifications/events, library services, flexible work timing, leaves for life events, and work from home or hybrid options.,

Key Responsibilities: Extract, clean, and analyze large datasets using SQL and Advanced MS Excel . Leverage Advanced Excel skills (including Pivot Tables, VLOOKUP/XLOOKUP, INDEX-MATCH, Macros, conditional formatting, and data validation) for data analysis and reporting. Build and maintain basic dashboards and reports using Power BI and Tableau . Identify trends, patterns, and actionable insights to support business decisions. Automate and streamline reporting processes using Advanced Excel and SQL queries. Collaborate with cross-functional teams to gather requirements and deliver tailored data solutions. Clearly document analysis methodologies and present insights to technical and non-technical stakeholders.

You will be responsible for collecting and entering clinical trial data from various sources, ensuring that it complies with study protocols and regulatory standards. Additionally, you will review the data for discrepancies, missing values, and inconsistencies, perform data cleaning, and uphold data quality standards. You will also be tasked with identifying, escalating, and resolving data queries in collaboration with clinical teams and study sites. In this role, you will maintain and manage essential study documents such as case report forms (CRFs), data management plans, and databases. Effective collaboration with Clinical Research Associates (CRAs), Clinical Data Managers, and other stakeholders is essential to ensure the timely and accurate collection of data. Furthermore, you will provide support for the maintenance and configuration of data management systems and software to guarantee the smooth flow of data. This position is full-time and requires work to be conducted in person. The benefits offered for this position include health insurance.,

Genpact is a global professional services and solutions firm that is committed to delivering outcomes that shape the future. With over 125,000 employees in more than 30 countries, we are driven by curiosity, agility, and the desire to create lasting value for our clients. Our purpose is to relentlessly pursue a world that works better for people. We serve and transform leading enterprises, including the Fortune Global 500, by leveraging our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently seeking applications for the position of Associate, Data Analyst to join our team. As an Associate, Data Analyst, you will be tasked with performing pricing of spare parts and driving data analytics for the business. Your responsibilities will include reviewing pricing on a periodic basis, identifying gaps, and making recommendations to enhance pricing strategies. Your responsibilities will include: - Data extraction, collation, and cleaning in MS Excel/Access - Ensuring the pricing data in ERP is kept up to date by identifying necessary activities and executing them - Handling ad hoc pricing analytics requests - Conducting various statistical and pricing analyses in Excel/Access - Improving process efficiencies through digitization and the implementation of machine learning algorithms - Supporting clients on data systems and analysis - Using statistical tools to sanitize, segment, and normalize historical pricing information and master invoice data sets for better price rate distribution visibility Qualifications we are looking for: Minimum qualifications: - Master's degree in research, statistics, math, economics, or a related analytical discipline - Fresh graduates from reputable institutions or 2 years of relevant work experience in the data analytics domain - Curiosity is a key trait we seek Preferred qualifications: - Proficiency with analytical and presentation tools such as Excel, VBA, and PowerPoint - Strong analytical skills with the ability to gather, analyze, and leverage large data sets for key business decisions - Proficiency in basic statistics - A can-do mindset - Knowledge of R, Python, Tableau, and Power BI is advantageous If you are passionate about data analytics and pricing strategies, and if you possess the qualifications and skills mentioned above, we encourage you to apply for this exciting role of Associate, Data Analyst at Genpact.,

As a Data Scientist specializing in Generative AI & ML Engineering, your primary responsibility will be to research and develop AI algorithms and models. You will be tasked with analyzing data, constructing predictive models, and employing machine learning techniques to address intricate problems. Your proficiency should encompass a range of skills including proficiency in languages/frameworks such as Fast API and Azure UI Search API (React), as well as expertise in databases and ETL tools like Cosmos DB and Data Factory Data Bricks. In addition, you should have a strong command of Python and R, familiarity with Azure Cloud Basics and Gitlab Pipeline, and experience in deploying AI solutions end-to-end. In addition to your proficient skills, you are expected to possess expert-level knowledge in areas such as Azure Open AI, Open AI GPT Family of models, and Azure Storage Account. Your expertise should extend to machine learning algorithms, deep learning frameworks like TensorFlow and PyTorch, and a solid foundation in mathematics including linear algebra, calculus, probability, and statistics. Furthermore, your role will require proficiency in data analysis tools such as Pandas, NumPy, and SQL, as well as strong statistical and probabilistic modeling skills. Experience with data visualization tools like Matplotlib, Seaborn, and Tableau, along with knowledge of big data technologies like Spark and Hive, will be essential for success in this position. Overall, your experience in AI-driven analytics and decision-making systems, coupled with your ability to develop and deploy AI frameworks and models, will be critical in delivering effective solutions to complex challenges.,

You have 2 to 3 years of minimum Clinical Data Management experience. You must have exposure to Study Start up, Conduct, and Study Closeout. If you do not have experience in all three phases, you should have good exposure to a minimum of two phases. Hands-on experience with Rave (Medidata) or Veeva EDC is a must. In terms of setup, you should have knowledge of DMP (Data Management Plan) creation, Edit check creation, Data Transfer specification creation, and some understanding of UAT (User Acceptance Testing) although it's not mandatory. Your experience in conducting tasks should include Data Cleaning, Query Handling, Postproduction Changes, SAE reconciliation, LAB Reconciliation, ECOA/EPRO Reconciliation, PK/PD Reconciliation, Dataset review, among others. You should be familiar with Study Lock activities such as Freezing/Locking and have good experience with Study lock procedures. Having a client-facing role and the ability to mentor others would be advantageous in this position. Your responsibilities will include executing Data Management Activities like Data Cleaning, Manual and System checks, updating relevant trackers, managing discrepancies and queries, resolving issues, and conducting Database lock activities. You will be expected to participate in innovation and process improvement initiatives, and to identify and develop action plans in coordination with the Team Lead for activities not meeting the client SLAs. Furthermore, you will need to archive all necessary information for audit purposes according to quality and security requirements to ensure reliable and timely retrieval of documentation and information. In addition, you will support multiple clinical trials across diverse therapeutic areas and provide technical oversight when required. Having hands-on experience in Study Setup and working exposure in RAVE/VEEVA EDC, as well as knowledge of the Spotfire reporting tool, will be beneficial. Experience in third-party data handling (Lab, PK, Image, etc.), client-facing roles, and effective client communication will also be valuable in this role.,

Job Description: As an MIS Executive (Data Analyst) at our Head Office in Chhatrapati Sambhajinagar (Aurangabad), Maharashtra, you will be responsible for analyzing, reporting, and visualizing data to provide actionable insights for strategic decision-making. With a minimum of 2 to 5 years of experience, you will have a solid foundation in technical skills such as Python, SQL, MS Excel, and Power BI. Your role will involve transforming raw data into meaningful information to support various business functions. Your key responsibilities will include collecting, cleaning, and validating data from multiple sources to ensure accuracy and consistency. You will develop and maintain dashboards and reports using tools like Power BI and Excel, while also writing complex SQL queries to extract and manipulate data from databases. Utilizing Python for data processing, automation, and advanced analytics will be a crucial part of your daily tasks, along with performing data cleaning, transformation, and enrichment to prepare datasets for analysis. Additionally, you will analyze trends, patterns, and anomalies to provide valuable insights to stakeholders and collaborate with cross-functional teams to meet data requirements. To excel in this role, you must hold a Bachelor's degree in Computer Science, Information Technology, Statistics, or a related technical field, along with at least 2 years of experience in data analysis or MIS reporting. Proficiency in Python, SQL, MS Excel (Advanced), and Power BI is essential, as well as a strong understanding of data cleaning, transformation, and visualization techniques. Your analytical and problem-solving skills, coupled with the ability to work independently and manage multiple tasks, will be key to your success. Effective communication skills will also be required to present findings clearly to stakeholders. While experience with other BI tools like Tableau or Google Data Studio and knowledge of statistical analysis or machine learning basics are preferred, the role offers an opportunity to work on high-impact projects, exposure to modern data tools and technologies, and a supportive work environment with learning and development opportunities. A competitive salary will be offered to the right candidate, along with benefits such as health insurance, paid sick time, and Provident Fund. If you are a detail-oriented and technically proficient individual with a passion for data analysis and visualization, we invite you to apply for this Full-Time, Permanent position as an MIS Executive (Data Analyst) at our Head Office in Chhatrapati Sambhajinagar (Aurangabad), Maharashtra. Job Types: Full-time, Permanent Benefits: - Health insurance - Paid sick time - Provident Fund Schedule: Day shift Work Location: In person,

As a skilled Power BI Developer, you will be responsible for data cleaning, reporting, and data visualization at our onsite location in Jaipur, Rajasthan. The successful candidate will thrive in a fast-paced environment aligned with EST hours. Your key responsibilities will include cleaning, transforming, and preparing data from various sources for business intelligence reporting. You will design, build, and maintain interactive dashboards and reports using Power BI. Collaborating closely with business stakeholders, you will translate reporting requirements into technical solutions. Additionally, you will develop and publish Power BI datasets, reports, and dashboards following best practices and work with data engineering and analytics teams for seamless data integration. Ad-hoc and scheduled reports based on business needs will also be a part of your role. To excel in this position, you should have at least 3 years of experience working as a Power BI Developer or in a similar BI role. Proficiency in Power BI, DAX, and Power Query is essential, along with experience in data cleaning, data modeling, and data transformation. A strong understanding of data visualization principles and best practices is crucial, and knowledge of Tableau is a plus. Solid SQL skills for querying and extracting data, as well as strong problem-solving and communication skills, will be beneficial in this role. This full-time onsite position in Jaipur, Rajasthan, requires working during US Eastern Time (8:00 AM to 5:00 PM EST / 5:30 PM to 2:30 AM IST). Candidates must be willing to work from the office to be considered for this opportunity.,

As an Intern at Vumonic, your day-to-day responsibilities will involve extracting and parsing email receipts in HTML and PDF formats to identify key data points. You will be developing scripts to convert unstructured data into structured formats such as JSON and CSV. Additionally, you will be implementing regex, NLP, and AI techniques to enhance data extraction accuracy. Collaboration with the data team will be essential as you work together to refine parsing logic and automate processes. You will also be required to write SQL queries for storing, retrieving, and manipulating structured data. When necessary, you will utilize R for data cleaning, analysis, and visualization. An integral part of your role will be to explore and integrate AI/ML-based approaches to improve data extraction and validation. It is crucial to remain updated with the latest advancements in AI, NLP, and data parsing technologies. Testing, validating, and optimizing data pipelines for scalability will also be within your scope of work. Vumonic is a provider of global data and market intelligence services, enabling companies to make data-driven decisions in various domains like strategy, marketing, sales, investments, and more to achieve a higher ROI. As a rapidly growing startup specializing in data analytics, Vumonic offers a flat hierarchy, providing you with a dynamic and engaging work environment.,

As a Data Analyst Intern at Theater, a dynamic fashion start-up based in Chandigarh (CCR), you will play a crucial role in assisting with data gathering, analysis, and reporting. The company's mission is to become India's leading design-led, mass-premium western fashion company, specializing in footwear, stockings, bags, and fragrances for women. Your primary responsibilities will include collecting and extracting data from various sources, performing basic data analysis to identify trends and insights, creating reports and visualizations using Excel/Google Sheets, preparing and cleaning datasets for analysis, and collaborating with cross-functional teams to support them with data-related tasks. To excel in this role, you should have a strong proficiency in Excel, including formulas, pivot tables, and charts, as well as experience with Google Sheets for collaborative work. Additionally, familiarity with data extraction techniques such as APIs and web scraping, attention to detail, analytical thinking, and strong communication skills are essential. The ideal candidate should have completed or be pursuing a Bachelor's degree in Data Science, Statistics, Mathematics, or a related field. Previous experience with data analysis through internships or projects would be a plus. If you are interested in this internship opportunity, please send your CV to careers@theater.xyz with the subject line "Data Analyst Intern CV". Theater is an equal opportunity employer that values diversity and is dedicated to creating an inclusive work environment for all employees. This internship is a 4-6 month contract with a day shift schedule from Monday to Friday, requiring in-person work at the Chandigarh location.,

As a Systems Data Officer based in London on a 9-Month Fixed Term Contract, you will play a crucial role in supporting data operations. If you are an individual who is inquisitive, analytical, and detail-oriented and find joy in working with data and solving problems, this position is tailored for you. Your primary responsibilities will include cleaning, validating, and preparing data for upload into the new internal system, managing data transfers to ensure accuracy and integrity, collaborating with teams to understand data requirements and address discrepancies, supporting process improvements, troubleshooting system issues, and effectively communicating with stakeholders to facilitate smooth data integration. To excel in this role, you should possess a degree in Mathematics, Physics, or a related field, along with strong communication skills enabling you to collaborate effectively with diverse teams. An analytical mindset with a meticulous attention to detail and data accuracy is imperative, coupled with a comfort level in working with large datasets and tackling problem-solving challenges. Being proactive, eager to learn, and open to involvement in system enhancements are also essential traits for success in this position. This opportunity presents an exciting chance to contribute to a significant system upgrade within a dynamic environment. If you thrive in data-driven roles and thrive in a collaborative work setting, we are eager to hear from you and welcome your application.,

At Allucent, we are dedicated to helping small-medium biopharmaceutical companies efficiently navigate the complex world of clinical trials to bring life-changing therapies to patients in need across the globe. We are looking for a Senior Clinical Data Manager I to join our A-team in the Chennai location. The Senior Clinical Data Manager I (SrCDM1) will be responsible for leading data management activities of the Allucent Data Management (DM) department. In this role, your key tasks will include leading and serving as the primary contact for DM with all relevant parties both internally and externally, planning and projecting the resources required, monitoring tasks against budgets and forecasts, and developing, reviewing, and maintaining project-specific DM documents. You will also lead and coordinate the development of clinical study database set-up, participate in the review of study documents, coordinate database User Acceptance Testing (UAT), create training materials for EDC users, oversee data cleaning and validation, and manage various data transfers and reconciliation activities. Additionally, you will provide project metric reports, status updates, study progress, and feedback to the project team, organize and lead Quality Review activities during the study, assist in project-related contracts negotiation, and manage the database maintenance, lock, and close-out processes. You will also participate in conference calls and meetings with vendors and sponsors, maintain DM study documentation, support internal and external audits, align data management and clinical programming best practices, and provide leadership and support to other department members. To be successful in this role, you should possess a life science or healthcare degree, a minimum of 5 years of relevant work experience as a Clinical Data Manager, thorough knowledge of ICH-GCP, 21CFR11 data privacy guidelines, and experience with electronic data capture software systems. You should also have experience as a DM lead on several studies, strong written and verbal communication skills, strong project management skills, and the ability to simplify complex issues into understandable concepts. Benefits of working at Allucent include a comprehensive benefits package, competitive salaries, departmental study/training budget, flexible working hours, opportunity for remote/office-based working, leadership and mentoring opportunities, internal growth opportunities, access to online training, eligibility for Spot Bonus Award Program, and eligibility for Loyalty Award Program. Please note that office-based employees are required to work in-office for a minimum number of days per work week. Allucent does not accept unsolicited resumes from third-party recruiters or uninvited requests for collaboration on open roles. Candidates should never be submitted directly to hiring managers, employees, or human resources.,

You will be joining XenonStack, a company committed to being the Most Value Driven Cloud Native Platform Engineering and Decision Driven Analytics Company. As part of our team, you will have the opportunity to work on enterprise national and international projects worth millions of dollars. We take pride in our lively and purposeful work culture, emphasizing a people-oriented approach. At XenonStack, you can expect complete job and employee security, along with warm, authentic, and transparent communication. As a Data Analyst at XenonStack, your responsibilities will include determining organizational goals, mining data from primary and secondary sources, cleaning and pruning data, analyzing and interpreting results, pinpointing trends, patterns, and correlations in complex data sets, providing concise data reports with visualizations, and creating and maintaining relational databases and data systems. We are looking for candidates with technical expertise in statistical skills, programming languages (especially Python), advanced MS Excel skills, data warehousing, business intelligence, data analysis, data cleaning, data visualization, and knowledge of Spark, PySpark, SQL, NoSQL, SAS, Tableau, Hadoop, JavaScript, and Python. Additionally, we value professional attributes such as excellent communication skills, attention to detail, analytical thinking, problem-solving aptitude, strong organizational skills, and visual thinking. Ideal candidates for this position should have a technical background, including a degree in BCA, BSC, B.Tech, MSc, or M.Tech with programming skills. The desired experience for this role is 3-4 years. If you enjoy working in a collaborative environment, have a passion for data analysis, and possess the required technical skills, XenonStack welcomes you to join our team located at Plot No. C-184, Sixth Floor 603, Sector 75 Phase VIIIA, Mohali 160071. This position requires in-office work engagement.,

Excelya is a leading independent Contract Research Organization (CRO) in Europe, dedicated to providing a people-centered approach since its inception in 2014. As a part of the ambitious health company, with a team of 900 Excelyates, our unique service model offers a diverse array of projects, enabling professional growth and personal development. In collaboration with experts, Excelya aims to advance scientific knowledge and enhance the patient journey, striving to become the clinical research leader in Europe. As a Clinical Data Manager at Excelya, you will be responsible for executing Data Management tasks in compliance with regulatory standards and Client SOPs. Working under the supervision of senior staff, you will be involved in data cleaning, review, discrepancy management, and reconciliation activities on assigned studies. Additionally, you will collaborate with the Lead Data Manager, generate study metrics and reports, and participate in study documentation archiving. Excelya is currently seeking a Full Service Provider role of Clinical Data Manager I (CDMI) based in Bangalore, India. The role requires a candidate with a Bachelor's degree in a Scientific discipline, preferably with at least one year of experience as a Data Manager or relevant expertise. Knowledge of ICH GCP guidelines, clinical trial databases, data flow, and proficiency in office computer applications are essential requirements for this position. Effective communication skills, both verbal and written, along with a commitment to professionalism, ethics, and compliance, are key attributes we are looking for in potential candidates. The successful candidate for the role of Clinical Data Manager at Excelya should be fluent in both the local language and English. This full-time position is located in Bangalore and offers an opportunity to contribute to the field of Clinical Research. If you are passionate about making a difference in the healthcare industry and meet the mentioned requirements, we encourage you to apply for this exciting opportunity. If you are interested in this position, please reach out to Bhavya Reddy, HR Manager, for further details.,

As a Manufacturing Data Analyst at our high-growth company, you will be responsible for understanding manufacturing data from clients, devising strategies to address pain points, and enhance business value. Your role will involve data exploration, analysis, and automation of data cleaning tasks. You will collaborate closely with the data science and product teams to derive valuable insights from client data. You should hold a Bachelor's or Master's degree in engineering, mathematics, Mechanical/Aerospace Engineering, and possess 4-6 years of experience working with renowned manufacturing/aerospace/automotive/consumer product companies. Proficiency in working with spreadsheets and processing large volumes of data is essential, along with experience in Python (Pandas)/R. In this role, you will be expected to understand and define relationships among entities in manufacturing data, interpret technical statements, and engage in tasks ranging from understanding business objectives to data manipulation and web scraping solutions. Collaboration with stakeholders such as machine learning engineers, data scientists, data engineers, and product managers will be a key aspect of your responsibilities. We are looking for individuals who are entrepreneurial, driven, and eager to contribute to a fast-growing SaaS company. You should have excellent written and verbal communication skills, expertise in natural language processing (NLP) techniques for text and sentiment analysis, and ideally, experience working with startups. Joining our interdisciplinary team, you will have the opportunity to work with leaders from Palantir, McKinsey, GM, and Ford. We value collaboration, diversity of thinking, and setting high standards to deliver exceptional results in a startup environment.,

We are Brainlabs, the High-Performance media agency, on a mission to become the world's biggest and best independent media agency. We plan and buy media that delivers profitable and sustained business impact. Our formula for success lies in our Superteams of Brainlabbers, fueled by data and enabled by technology. At Brainlabs, we prioritize our culture above all else. Our shared principles, philosophies, and values, as documented in The Brainlabs Handbook, have shaped our unique culture from the agency's inception. To further enhance and evolve our culture, The Brainlabs Handbook has been refined into The Brainlabs Culture Code. The Brainlabs Culture Code comprises 12 codes that define what it means to be a Brainlabber. It embodies our collective commitment to continuous development, fostering a company where Brainlabbers can excel, build relationships, and achieve success together. As a Specialist in Data Science at Brainlabs, you will report to the Manager, Data Science and operate from our Bengaluru office under an adaptive working model. In this role, you will be a pivotal member of our Data Science team, focusing on developing and deploying machine learning models to tackle intricate business challenges. Your responsibilities will include working with extensive datasets, constructing scalable data pipelines, and collaborating with diverse teams to deliver impactful solutions. If you are enthusiastic about machine learning, data-driven problem-solving, and cutting-edge technology, this position is tailored for you! Your key responsibilities will include developing and maintaining web scraping infrastructure, enhancing data quality through cleaning and transformation, designing and implementing various machine learning models, optimizing model performance, aiding in production deployment, identifying and resolving operational issues, collaborating with engineering and DevOps teams, understanding cross-functional requirements, and effectively communicating technical concepts to stakeholders. To excel in this role, you should possess a Bachelor's or Master's degree in Computer Science, Data Science, or a related field, along with 2-5 years of experience in machine learning model development and deployment. Proficiency in Python and relevant libraries, practical experience in web scraping, familiarity with cloud platforms, and strong communication and collaboration skills are essential. Success in this role will be measured by your ability to efficiently develop and deploy machine learning models with tangible business impact, implement smooth and scalable data pipelines, continuously monitor and optimize model performance, collaborate effectively with cross-functional teams, and communicate technical concepts clearly and insightfully. The recruitment process involves a comprehensive interview series, including skills assessments with our team, to ensure that the role aligns with both your career aspirations and our organizational needs. We understand the challenges of job searching and aim to find the best fit for both you and Brainlabs.,

Insurance Domain Expert - Data Migration || 7+ years || Noida Years of exp: 7+ years Work mode: Hybrid Overview : Seeking an experienced Insurance Domain Expert to lead data migration projects within the organization. The ideal candidate will have a deep understanding of the insurance industry, data management principles, and hands-on experience in executing successful data migration initiatives. Key Responsibilities: 1. Industry Expertise: - Provide insights into best practices within the insurance domain to ensure compliance and enhance data quality. - Stay updated on regulatory changes affecting the insurance industry that may impact data processing and migration. 2. Data Migration Leadership: - Plan, design, and implement comprehensive data migration strategies to facilitate smooth transitions between systems. - Oversee the entire data migration process, including data extraction, cleaning, transformation, and loading (ETL / ELT). 3. Collaboration and Communication : - Liaise between technical teams and business stakeholders to ensure alignment of migration objectives with business goals. - Prepare and present progress reports and analytical findings to management and cross-functional teams. 4. Risk Management : - Identify potential data migration risks and develop mitigation strategies. - Conduct thorough testing and validation of migrated data to ensure accuracy and integrity. 5. Training and Support : - Train team members and clients on new systems and data handling processes post-migration. - Provide ongoing support and troubleshooting for data-related issues. Qualifications: - Bachelors degree in information technology, Computer Science, or a related field; advanced degree preferred. - Minimum of 7-10 years of experience in the insurance domain with a focus on data migration projects. - Strong knowledge of insurance products, underwriting, claims, and regulatory requirements. - Proficient in data migration tools and techniques, with experience in ETL processes. - Excellent analytical and problem-solving skills with a keen attention to detail. - Strong communication and presentation skills to interact with various stakeholders.

As a senior analyst in the Data Processing team, you will be responsible for managing quantitative data processing tasks to ensure the successful completion of global market research studies. Your primary duties will involve executing programming, data management, cleaning, coding, and validation processes with a focus on achieving high accuracy and compliance with both internal and regulatory standards. It will be essential for you to handle multiple projects simultaneously, working closely with team leads and research teams to meet deadlines while upholding data quality standards. Your responsibilities will include managing all aspects of data processing for complex global market research projects, coordinating projects by collaborating with research teams, designing data processing plans, and tracking project timelines to ensure high-quality deliverables within established schedules. You will also be involved in survey design and tool evaluation, data validation and quality assurance, coding framework development, internal function development, communication, and teamwork. To be successful in this role, you should possess an undergraduate or advanced degree in mathematics, IT, or a related discipline, along with at least 2 years of relevant professional experience in a corporate/business, primary market research, or consulting environment. Hands-on experience in data collection techniques, a strong understanding of market research methodology, and proficiency in data processing tools and languages such as SPSS, SAS, R, Python, and SQL will be required. Additionally, familiarity with data visualization tools like Tableau and Power BI is essential, while knowledge of survey tools and platforms such as Qualtrics and SurveyMonkey would be advantageous. Having a growth mindset, customer and quality centricity, strong communication skills, effective time management and organization, as well as a results-oriented approach will be crucial for excelling in this role. You will also be expected to actively contribute to the broader business mission, vision, purpose, and the Prescient brand, while supporting social and environmental initiatives within the communities where we operate. For more information, please visit us at www.prescienthg.com.,

Key Responsibilities Extract and analyze data from company databases to drive the optimization and enhancement of product development and marketing strategies. Analyze large datasets to uncover trends, patterns, and insights that can influence business decisions. Leverage predictive and AI/ML modeling techniques to enhance and optimize customer experience, boost revenue generation, improve ad targeting, and more. Design, implement, and optimize machine learning models for a wide range of applications such as predictive analytics, natural language processing, recommendation systems, and more. Conduct experiments to fine-tune machine learning models and evaluate their performance using appropriate metrics. Deploy machine learning models into production environments, ensuring scalability Qualifications Bachelor's, Master's or Ph.D in Computer Science, Data Science, Mathematics, Statistics, or a related field. 2+ years of experience in Analytics, Machine learning, Deep learning. Proficiency in programming languages such as Python, and familiarity with machine learning libraries (e.g., Numpy, Pandas, TensorFlow, Keras, PyTorch, Scikit-learn). Strong experience with data wrangling, cleaning, and transforming raw data into structured, usable formats. Hands-on experience in developing, training, and deploying machine learning models for various applications (e.g., predictive analytics, recommendation systems, anomaly detection). In-depth understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) and their appropriate use cases. Experience with model evaluation techniques (e.g., cross-validation, A/B testing, performance metrics). Experience with cloud platforms (AWS, GCP, Azure) for model deployment and scalal Proficiency in data processing and manipulation techniques. Excellent problem-solving skills and the ability to work effectively in a collabor environment. Strong communication skills to convey complex technical concepts to non-tech stakeholders. Good To Have Experience in the [banking/financial services/industry-specific] sector. Familiarity with cloud-based machine learning platforms such as Azure, AWS, or GCP. Skills: recommendation systems,pytorch,cloud,anomaly detection,numpy,python,data cleaning,deep learning,predictive analytics,a/b testing,machine learning,pandas,tensorflow,scikit-learn,data wrangling,cloud platforms (aws, gcp, azure),model evaluation techniques,cross-validation,keras,machine learning models,

AI / Machine Learning / Data Science part time Work from Home (Any where in world) Warm Greetings from Excel Online Classes, We are a team of industry professionals running an institute that provides comprehensive online IT training, technical support, and development services. We are currently seeking AI / Machine Learning / Data Science Experts who are passionate about technology and can collaborate with us in their free time. If you're enthusiastic, committed, and ready to share your expertise, we would love to work with you! Were hiring for the following services: Online Training Online Development Online Technical Support Conducting Online Interviews Corporate Training Proof of Concept (POC) Projects Research & Development (R&D) We are looking for immediate joiners who can contribute in any of the above areas. If you're interested, please fill out the form using the link below: https://docs.google.com/forms/d/e/1FAIpQLSdvut0tujgMbBIQSc6M7qldtcjv8oL1ob5lBc2AlJNRAgD3Cw/viewform We also welcome referrals! If you know someone—friends, colleagues, or connections—who might be interested in: Teaching, developing, or providing tech support online Sharing domain knowledge (e.g., Banking, Insurance, etc.) Teaching foreign languages (e.g., Spanish, German, etc.) Learning or brushing up on technologies to clear interviews quickly Upskilling in new tools or frameworks for career growth Please feel free to forward this opportunity to them. For any queries, feel free to contact us at: excel.onlineclasses@gmail.com Thank you & Best Regards, Team Excel Online Classes excel.onlineclasses@gmail.com

Key Responsibilities Develop and maintain backend systems using Django and Django Rest Framework (DRF) Write clean, modular, and scalable code for APIs, forms, and admin panels Collaborate with frontend developers to integrate REST APIs with responsive UI Work with file upload systems, data cleaning (Pandas), and scheduled jobs (APScheduler/Celery) Handle database modeling, migrations, and optimization Assist in deploying applications on Linux/Ubuntu servers (DigitalOcean or similar) Write unit tests and participate in peer code reviews Debug production issues and optimize system performance Maintain documentation and contribute to agile sprint planning Must-Have Skills Strong hands-on experience in Python 3.x and Django Working knowledge of Django Rest Framework (DRF) Experience with PostgreSQL or MySQL Comfortable using Git and version control practices Understanding of REST APIs, request/response cycle, and

Role And Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement recommendations including changes in operational processes, technology or data management - Primary area of focus: PSCM/ VMI business; secondary area of focus: ICS KPI s - Business improvements pre & post (either operational program, algorithm, model or resultant software). Improvements measured in time and/or dollar savings - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : - R or python (Data Cleaning, Statistical and Modelling packages) , SQL, VBA and DAX (PowerBI) - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique Compliance Requirements : - GET has a Business Ethics Policy which provides guidance to all employees in their day-to-day roles as well as helping you and the business comply with the law at all times. The incumbent must read, understand and comply with, at all times, the policy along with all other corresponding policies, procedures and directives. QHSE Responsibilities - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company s, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills - Analytical skills - Negotiation - Convincing skills Key Competencies - Never give up attitude - Flexible - Eye to detail

Seeking a Junior Analyst with strong Excel skills, data analysis expertise, and attention to detail to create reports and support business insights. Were hiring a Junior Analyst with 1-2 years of experience and strong Excel skills to create reports, analyze data, and support business decisions. Attention to detail and a proactive mindset are key. Apply now to be part of a data-driven team!