861 Data Science Jobs in Coimbatore

Dear Candidate, Are you looking for a flexible, work-from-home job If you have basic typing skills and internet access, you can start working as a Data Entry Operator today! Fresher / Back Office / Computer Operator / Data Entry Operator Skills Required: Just basic computer knowledge thats it! No age restrictions No work pressure No targets Open to both males and females All qualifications accepted Graduates, Diploma holders, or any educational background You can work using a smartphone, laptop, or any digital device whatever suits you best! Job Responsibility: Simply complete and submit your assigned work on time. If you're ready for a flexible job that fits your schedule, wed love to have you onboard. Thank you!

Were on the lookout for both freshers and experienced candidates to join our remote team in Data Entry and Back Office roles. This is a flexible, stress-free opportunity that you can do from the comfort of your home. Position Available: Data Entry Operator Back Office Executive Computer Operator Fresher Roles (No prior experience needed) What You Need: Basic computer knowledge A smartphone, laptop, or any digital device Typing speed and accuracy A responsible attitude and timely work submission Perks & Benefits: Flexible working hours work when it suits you Training provided all necessary guidance and instructions No age restrictions, no targets, no pressure Job Role: You will receive content from the company Simply type the content as per company guidelines Ensure work is submitted on time This opportunity is open to all whether you're a student, homemaker, job seeker, or just looking for a side income with flexible hours.

Dear Candidate, We are excited to offer a work-from-home position with flexible working hours, perfect for both part-time and full-time seekers. What Youll Need: Basic understanding of Notepad and internet usage Access to a mobile phone, desktop, or laptop Who Can Apply: Freshers, homemakers, retired individuals, and candidates from any educational background Open to both men and women Job Responsibilities: Complete assigned tasks and submit your work on time This is a great opportunity to start from the comfort of your home. Apply now and take the first step toward your remote work journey! Thank you, HR Team

Dear Candidate, Are you looking for a flexible, work-from-home job If you have basic typing skills and internet access, you can start working as a Data Entry Operator today! Fresher / Back Office / Computer Operator / Data Entry Operator Skills Required: Just basic computer knowledge thats it! No age restrictions No work pressure No targets Open to both males and females All qualifications accepted Graduates, Diploma holders, or any educational background You can work using a smartphone, laptop, or any digital device whatever suits you best! Job Responsibility: Simply complete and submit your assigned work on time. If you're ready for a flexible job that fits your schedule, wed love to have you onboard. Thank you!

Dear Candidate, We are excited to offer remote Data Entry Typing positions for individuals who are reliable, detail-oriented, and serious about their work. Whether you're a student, graduate, homemaker, or simply looking for flexible work options, this could be the perfect fit for you. Position Details: Job Type: Data Entry Typing (Online & Offline) Work Mode: Remote can be done from smartphone, laptop, or any digital device Eligibility: Open to all age groups, male & female candidates Qualification: Any degree, diploma, or educational background accepted What Were Looking For: Basic computer knowledge Consistent and timely submission of assigned tasks A responsible and committed attitude What We Offer: No work pressure or targets Flexible working hours work at your convenience Inclusive opportunity open to everyone, regardless of age or experience This is a great opportunity to earn from the comfort of your home while working at your own pace.  

Dear Candidate, We are hiring individuals for online data entry and typing jobs that can be done remotely Fresher / Back Office / Computer Operator / Data Entry Operator Skills Required: Just basic computer knowledge thats it! No age restrictions No work pressure No targets Open to both males and females All qualifications accepted Graduates, Diploma holders, or any educational background You can work using a smartphone, laptop, or any digital device whatever suits you best! Job Responsibility: Simply complete and submit your assigned work on time. If you're ready for a flexible job that fits your schedule, wed love to have you onboard. Thank you!

We offer flexible, home-based computer jobs that require only basic skills and a willingness to work. Part time works Computer works Home based worksFor- Students, housewifes, Retired person & Job Employees.The golden opportunity you are seeking is in yourself. What You Need: Basic knowledge of Notepad and Internet A working mobile, desktop, or laptop Eligibility: Freshers, housewives, retired professionals, and anyone with any qualification can apply Open to both males and females Your Job: Complete tasks and submit your work on time Start now and work from home with us!

As a Data Analytics Lead at VMax Wellness, your role is crucial in overseeing the MIS and analytics function to drive strategic and operational decision-making. Here's a breakdown of what will be expected from you: **Role Overview:** You will be responsible for developing and implementing data strategies, ensuring accuracy and integrity of data, and defining data standards and reporting processes. Your role will involve designing, developing, and maintaining dashboards and management reports to provide actionable insights to leadership and departmental teams. **Key Responsibilities:** - Develop and implement strategies for data collection, management, and utilization. - Design, develop, and maintain dashboards and management reports. - Lead and mentor the analytics team to ensure high-quality deliverables. - Conduct predictive and prescriptive analytics to identify growth opportunities. - Implement automation and technology solutions to enhance reporting efficiency. **Qualifications Required:** - Postgraduate degree in a relevant field such as Analytics, Statistics, or Business Analytics. - 6-8 years of experience in data analytics, MIS, or business intelligence. - Strong expertise in data visualization tools (Power BI, Tableau), advanced Excel, and reporting/database tools. - Excellent communication skills to present data-driven recommendations effectively. - Proven leadership and team management skills to foster a data-driven culture. - Experience in streamlining analytics workflows and enhancing reporting efficiency. In addition to the role specifics, working at VMax Wellness offers you: - Comprehensive exposure to cross-functional operations and business execution. - Mentorship and guidance from senior leadership. - Career development opportunities based on performance and skill enhancement. - A collaborative environment that promotes ownership, innovation, and teamwork. - The opportunity to make a purpose-driven impact by contributing to transforming how people approach health and wellbeing. This role at VMax Wellness will allow you to utilize your skills in reporting, wellness, health, data analytics, management, decision-making, leadership, and teamwork to drive impactful outcomes for the organization.,

As a Data Scientist Intern at the company, you will play a vital role in developing data-driven solutions to enhance business growth and innovation. You will collaborate with various teams to analyze data sets, create databases, and implement statistical models for informed decision-making. Key Responsibilities: - Analyze complex data sets to identify trends, patterns, and insights guiding business decisions - Develop and maintain databases, data visualizations, and statistical models to support decision-making - Collaborate with teams to design and implement data-driven projects for business growth - Communicate data insights and recommendations to technical and non-technical stakeholders - Keep abreast of industry trends and emerging technologies in data science and analytics Qualifications Required: - Master's or Bachelor's degree in Computer Science, Statistics, Mathematics, or related field - Proficiency in Python, R, or SQL programming languages - Experience with data visualization tools like Tableau, Power BI, or D3.js - Strong grasp of statistical concepts and machine learning algorithms,

Role Overview: You will be working with large datasets to ensure data accuracy, consistency, and integrity across databases. Additionally, you will partner with Product and Engineering teams to identify and implement process improvements and automation tools to enhance data quality and operational efficiency. Your responsibilities will also include supporting internal teams by creating and maintaining internal reports and dashboards, diagnosing and highlighting data pipeline issues, and responding promptly to data-related inquiries and requests from clients, internal teams, and external data providers/partners. Furthermore, you will collaborate with regional teams on shared operational workflows and cross-functional projects, maintain and update team resources and procedural documentation, and conduct daily verification checks to ensure the accuracy and timely availability of client portfolio data, adhering to defined SLAs. Key Responsibilities: - Work with large datasets to ensure data accuracy, consistency, and integrity across databases - Partner with Product and Engineering teams to identify and implement process improvements and automation tools to enhance data quality and operational efficiency - Support internal teams by creating and maintaining internal reports and dashboards - Diagnose and highlight data pipeline issues, escalating complex problems as needed - Respond promptly to data-related inquiries and requests from clients, internal teams (Sales, Services), and external data providers/partners - Collaborate with regional teams on shared operational workflows and cross-functional projects - Maintain and update team resources and procedural documentation, and ensure accurate recording of metrics for internal reporting and analytics - Conduct daily verification checks to ensure the accuracy and timely availability of client portfolio data, adhering to defined SLAs Qualifications Required: - Bachelor's degree in a relevant field (Mathematics, Statistics, Data Science, Finance, Economics, or related disciplines) - Strong understanding of data management and analytics - Proficiency in Excel and/or other data analysis tools - Excellent communication and interpersonal skills for engaging with internal and external data partners - Consistent track record of multitasking and prioritizing effectively in a fast-paced environment, and remaining calm under pressure (Note: No additional details about the company were provided in the job description),

As a Data Analyst at our company, you will play a crucial role in transforming data into valuable insights that drive strategic business decisions. You will collaborate with various teams to analyze performance, trends, and opportunities within our educational platforms and operations. Key Responsibilities: - Collect and analyze data to identify trends and patterns. - Interpret data to generate actionable insights for decision-making. - Develop dashboards, reports, and visualizations for stakeholders. - Work with cross-functional teams to define key metrics. - Ensure data accuracy, integrity, and consistency. - Support data-driven strategies to enhance student engagement and outcomes. Qualifications Required: - Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field. - Proven experience as a Data Analyst or in a similar role (0-2+ years preferred). - Proficiency in Excel, SQL, and data visualization tools (e.g., Power BI, Tableau). - Familiarity with Python or R for data analysis is a plus. - Strong analytical and problem-solving abilities. - Excellent communication skills with great attention to detail. In addition to the qualifications mentioned above, the job type for this position is full-time, and the educational requirement is a Bachelor's degree. The work location is in person. This job offers the opportunity to work as a Data Analyst, where you can leverage your analytical skills to drive meaningful insights and contribute to data-driven strategies.,

You will be responsible for supporting the analytics team in collecting, processing, and interpreting data to drive informed decision-making. This role is suitable for individuals who are detail-oriented, curious, and eager to learn data analysis tools and techniques while contributing to ongoing projects. - Gather, clean, and validate large datasets from multiple sources. - Perform descriptive and exploratory data analysis to identify trends, patterns, and anomalies. - Assist in developing dashboards, reports, and visualizations using tools such as Power BI, Tableau, or Excel. - Support and prepare summary reports for management review. - Collaborate with senior analysts to develop key performance indicators (KPIs) and performance tracking systems. - Maintain data accuracy, integrity, and documentation across projects. - Participate in data quality audits and support automation of repetitive reporting tasks. Qualifications and Skills: - Bachelors degree in Statistics, Economics, Mathematics, Computer Science, or a related field. - Strong analytical and quantitative skills with attention to detail. - Proficiency in MS Excel; familiarity with SQL, Python, or R is an added advantage. - Experience with data visualization tools (Tableau, Power BI, or similar). - Ability to communicate findings clearly through written reports and presentations. - Eagerness to learn and grow within a data-focused environment. Preferred Qualities: - Internship or academic project experience in data analysis or business analytics. - Understanding of database management concepts. - Strong teamwork, problem-solving, and organizational skills.,

As a Snowflake Data Architect at Aezion, Inc., your role will involve designing and implementing scalable data pipelines, integrating diverse data sources, and building a robust data warehouse to support business intelligence and analytics initiatives. Your key responsibilities will include: - Developing and maintaining ETL/ELT pipelines using Airbyte and Airflow. - Extracting data from multiple sources such as APIs, direct database connections, and flat files. - Ensuring data quality, consistency, and reliability across all ingestion processes. - Designing and implementing Kimball-style dimensional models in Snowflake. - Building and optimizing fact tables and dimension tables to support analytical workloads. - Collaborating with business teams to define and maintain the BUS Matrix for subject areas. - Using DBT to develop modular, testable, and version-controlled transformations. - Implementing data quality checks and documentation within DBT workflows. - Working closely with business stakeholders to understand requirements and translate them into technical solutions. - Ensuring compliance with data governance, security, and privacy standards. To be successful in this role, you will need the following skills and qualifications: - Strong proficiency in Snowflake architecture and performance tuning. - Hands-on experience with DBT, Airbyte, and Airflow. - Solid understanding of Kimball methodology for data warehousing. - Advanced SQL skills and familiarity with Python for ETL scripting. - Experience integrating data from APIs and relational databases. - Excellent communication and collaboration skills. - Ability to work in an agile environment and manage multiple priorities. Join Aezion, Inc. as a Snowflake Data Architect and be part of a leading custom software provider committed to transforming clients into lifelong partners through result-driven work.,

As a Senior Data Modeler at our organization, you will play a crucial role in defining and evolving our data architecture and modeling practices. You will collaborate with cross-functional teams, mentor others, and contribute to the development of enterprise data models. **Key Responsibilities:** - Assist in establishing and maintaining information architecture best practices aligned with the organization's data strategy - Drive data modeling initiatives and contribute to the overall data architecture design and development - Develop and maintain conceptual, logical, and physical data models following industry standards - Capture and manage metadata within the enterprise data catalog for accurate documentation - Evaluate proposed data models in purchased applications and ensure compliance with standards - Educate stakeholders on data strategy principles to promote a strong data culture - Ensure compliance with security and regulatory policies in enterprise information architecture - Collaborate with stakeholders to design effective data models meeting evolving requirements - Participate in design reviews at different stages of the development lifecycle **Qualifications Required:** - A university degree equivalent to BS/MS in Computer Science, Life Sciences, or related field - 5+ years of experience as a Business Analyst with expertise in business process reengineering and user requirement gathering - Proficient in data modeling, ERWin diagrams, data analytics, SQL, data warehousing, and business intelligence practices - Strong communication skills in English In addition to the key responsibilities and qualifications, it would be nice to have experience in the pharmaceutical industry, agile methodologies, team coordination, and familiarity with Collibra.,

You will be joining a leading UK-based Digital Agency that is expanding its presence in India as a Data Engineer. In this role, you will be responsible for designing and building scalable data solutions that power next-generation property technology. If you have strong C# and SQL skills, enjoy building ETL pipelines, and excel at transforming raw data into valuable business insights, this is an excellent opportunity for you. You will work with cutting-edge Microsoft tools, collaborate with global teams, and contribute to a fast-growing industry. **Key Responsibilities:** - Design, build, and maintain robust ETL/ELT pipelines to process large-scale property data. - Collaborate with UK-based data analysts and developers to ensure smooth data flow into dashboards and reports. - Develop and manage data lakes and data warehouses using Azure Synapse, Data Factory, and Databricks. - Write and maintain C# code for data orchestration and contribute to shared repositories with best practices. - Integrate various data sources through APIs, Dataverse, ODBC, and other connectors. - Ensure data is well-modeled and optimized for Power BI performance and business intelligence use. - Monitor data pipeline performance, troubleshoot issues, and recommend improvements. **Qualifications:** - Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field. - 3-5 years of hands-on experience in data engineering, backend development, or data orchestration. - Strong programming skills in C# and advanced knowledge of SQL, including complex queries and performance tuning. - Proficiency with Git, CI/CD pipelines, and collaborative development workflows. - Experience integrating diverse data sources such as APIs, ODBC, and connectors. - Bonus: Familiarity with Python, Dataverse, Power Platform, or experience in the property/real estate industry. - Excellent analytical skills, problem-solving mindset, and strong communication skills. The company is a technology-driven property solutions company with roots in London, UK. They are transforming the way property professionals operate globally by building a unique technology ecosystem. Their expertise includes data architecture, advanced analytics, bespoke software solutions, and seamless integrations supported by Microsoft's modern data stack and custom in-house tools. They work closely with a global network of talented teams to deliver tailor-made, end-to-end property technology solutions. Candidates interested in this opportunity can submit their resumes to jobs@prognova.co.,

As a Data Engineer at our company, you will be a crucial part of the engineering team in Pune. Your primary responsibility will be to design, automate, and optimize data processes using Python within the AWS cloud ecosystem, including Lambda, Glue, and Redshift. **Key Responsibilities:** - Design, develop, and maintain efficient ETL pipelines using Python, SQL, AWS Glue, and Redshift. - Automate data flows and integrations using AWS Lambda and other serverless services. - Propose and implement improvements to existing pipelines for better performance, scalability, and maintainability. - Collaborate on designing scalable, resilient data architectures in AWS. - Manage infrastructure as code using Terraform. - Participate in code reviews and use Git for collaborative version control. - Document technical solutions and promote data engineering best practices. **Technical Requirements:** - Python: 3+ years (intermediate to advanced level) - SQL: 3+ years, strong with complex data models - Big Data / PySpark: 12+ years (preferred) - AWS (Lambda, Glue, Redshift, S3): 23 years hands-on - Terraform: 12 years (intermediate) - Git: Daily use in collaborative environments - Strong focus on automation, error handling, logging, and testing in data pipelines **Professional Profile:** - Proactive and improvement-driven mindset - Analytical thinker with strong problem-solving skills - Great communicator with technical and non-technical teams - Strong documentation habits **Nice to Have:** - Experience with CloudWatch or other monitoring tools - Knowledge of event-driven architectures - Familiarity with Apache Airflow or other orchestration tools - Background in FinTech or handling financial data - AWS certifications are a plus If you are interested in this opportunity and have at least 6+ years of experience, please send your resume to knandini@futransolutions.com and jtejas@futransolutions.com.,

Role Overview: As an AI Engineer at Merkle, your role involves leading and managing customer analysis deep dives, executing strategies outlined by senior leadership, and managing day-to-day communication with clients. Key Responsibilities: - Develop algorithms and build predictive models from the ground up, utilizing machine learning and deep learning frameworks - Extensive experience in building Information retrieval systems and relevance engineering - Building AI models from scratch and assisting product managers and stakeholders with analysis and implementation - Transform machine learning models into APIs for integration with other applications - Provide training for AI engineers on model development and deployment Qualification Required: - Programming Languages: Proficiency in Python and SQL - Machine Learning & AI Technologies: Advanced knowledge in Machine Learning models and Large Language Models (LLM), experience in implementing LLMs using vector bases and Retrieval-Augmented Generation (RAG), as well as tuning models and building Knowledge Graphs - Cloud Platforms & Tools: Experience with Azure, AWS, or Google Cloud and AI Stack - Data Technologies: Familiarity with big data technologies such as Apache Spark, Hadoop, and MongoDB - Mathematical Foundation: Strong understanding of probability, statistics, and linear algebra Additional Company Details: Location: Bengaluru Brand: Merkle Time Type: Full time Contract Type: Permanent (Note: The company details were included in the Job Description),

As an experienced Data Engineer with expertise in Azure Databricks, your role will involve designing, developing, and maintaining scalable data pipelines using Azure Databricks. You will work with Azure Data Lake, Azure Synapse, and other Azure data services to perform ETL/ELT operations, ingest and transform data from multiple sources, optimize workflows for performance and reliability, and collaborate with data scientists, analysts, and stakeholders to deliver high-quality data solutions. Ensuring data quality, security, and compliance throughout all processes will also be a key responsibility. Key Responsibilities: - Design, develop, and maintain scalable data pipelines using Azure Databricks - Work with Azure Data Lake, Azure Synapse, and other Azure data services - Perform ETL/ELT operations to ingest and transform data from multiple sources - Optimize and troubleshoot data workflows for performance and reliability - Collaborate with data scientists, analysts, and other stakeholders to deliver high-quality data solutions - Ensure data quality, security, and compliance throughout all processes Qualifications Required: - Strong experience with Azure Databricks, Spark, and PySpark - Proficiency in SQL, Python, and data pipeline development - Experience with Azure Data Factory, Azure Data Lake, and other Azure services - Good understanding of data warehousing and data modeling concepts - Familiarity with CI/CD and version control (e.g., Git, Azure DevOps) - Strong problem-solving and communication skills In addition to the above details, the company offers health insurance and paid sick time as benefits. The work location is in Coimbatore, Tamil Nadu, and the job type is Full-time, Permanent. Relocation or commuting to Coimbatore is required for this position. Experience required: - Azure: 3 years Preferred Qualifications: - Experience in real-time data processing (Kafka, Event Hubs) - Knowledge of Delta Lake and Data Lakehouse architecture - Microsoft Azure certification is a plus,

As an intern at Sadhvi Academy, your day-to-day responsibilities will include: - Collecting, cleaning, and organizing data from various sources. - Creating dashboards and reports using Power BI, Excel, or Tableau. - Analyzing datasets to identify trends and insights for decision-making. - Preparing visualizations and presentations of data findings. - Assisting the team in developing data-driven solutions and reports. Sadhvi Academy is a professional training and career development institute based in Coimbatore, Tamil Nadu. Specializing in Data Analytics, Business Analytics, Python, SQL, Excel, Power BI, and Tableau, the company's mission is to bridge the gap between academic learning and industry requirements by offering practical, project-based training and internships. With a focus on hands-on learning, personalized mentoring, and real-time projects, Sadhvi Academy prepares students and fresh graduates to build strong analytical skills and become job-ready for careers in Data Analytics and Business Intelligence. Additionally, the company also provides career support through resume building, mock interviews, and placement assistance.,

Role Overview: As an Azure Data Engineer at Orion Innovation, you will be an integral part of the data team, responsible for building and maintaining scalable data pipelines using Azure Data Factory. You will also work on transforming data using PySpark and utilizing SQL databases to ensure efficient data processing. Experience with Microsoft Fabric will be advantageous in this role. Key Responsibilities: - Develop, schedule, and monitor data pipelines utilizing Azure Data Factory. - Transform and process large datasets efficiently using PySpark. - Write and optimize SQL queries for data extraction and analysis. - Collaborate closely with data architects and analysts to meet business requirements effectively. - Ensure data quality, security, and compliance throughout all data pipelines. Qualification Required: - Proficiency in Azure Data Factory pipelines. - Strong expertise in PySpark and SQL. - Familiarity with Microsoft Fabric. Additional Details: Orion Innovation is a premier global business and technology services firm delivering game-changing business transformation and product development rooted in digital strategy, experience design, and engineering. With a unique combination of agility, scale, and maturity, Orion works across various industries such as financial services, telecommunications, consumer products, automotive, and more. The company is committed to protecting candidate privacy and follows a Candidate Privacy Policy to explain information collection during the application and recruitment process. Preferred Qualifications: - Azure Data Engineer Associate certification (DP-203) is a plus. - Experience with Power BI, Azure Machine Learning, or Logic Apps is beneficial. - Strong problem-solving and communication skills are essential for this role.,