817 Matplotlib Jobs - Page 27

Python Developer Experience: 1- 3 years Responsibilities: · Develop and maintain web applications using Python frameworks like Django and Flask. · Utilize data analysis libraries such as NumPy, pandas, and matplotlib for extracting insights from large datasets. · Implement machine learning models using TensorFlow and PyTorch for various applications. · Handle HTTP requests efficiently using libraries like Requests. · Perform web scraping tasks using Beautiful Soup and Scrapy. · Collaborate with cross-functional teams to design and implement scalable solutions. · Ensure the security and integrity of data by integrating with database systems like SQL (e.g., PostgreSQL, MySQL) or NoSQL databases (e.g., MongoDB). · Stay updated with the latest trends and technologies in the Python ecosystem. Requirements: · Bachelor's degree in Computer Science, Engineering, or related field. · Strong proficiency in Python programming language. · Experience with Python frameworks such as Django and Flask for web development. · Familiarity with LangChain/LlamaIndex/ML/vectoryDB technologies will be a plus, enhancing team's capabilities in data management and analysis. · Proficiency in deploying Python applications to AWS, Azure, or GCP cloud platforms. · Experience with FastAPI in API development framework, facilitating efficient and robust development of web APIs to support our software ecosystem. · Familiarity with data analysis libraries like NumPy, pandas, and matplotlib. · Knowledge of machine learning frameworks such as TensorFlow and PyTorch. · Experience in handling HTTP requests and web scraping. · Understanding of database systems like SQL (e.g., PostgreSQL, MySQL) or NoSQL databases (e.g., MongoDB). · Excellent problem-solving skills and attention to detail. · Ability to work independently as well as in a team environment. · Strong communication and interpersonal skills. Job Type: Full Time, Permanent, Regular 5 Days Working Location: Plot no.968, Sector-82, JLPL Industrial Area, Mohali, Punjab (140306) Supplement Pay: Yearly Performance Based Bonus, Overtime pays, and others. Benefits: Personality and Training Development, Paid leave, Mensuration leaves, Maternity leaves, Compensatory Off and other special leaves. Job Types: Full-time, Permanent Pay: ₹15,114.49 - ₹40,000.00 per month Schedule: Morning shift Supplemental Pay: Overtime pay Performance bonus Education: Bachelor's (Preferred) Experience: Python: 1 year (Preferred) Work Location: In person

Job Title: Data Analyst (Python & Web Scraping Expert) Location : Netaji Subhash Place, Pitampura, New Delhi Department : Data Analytics / Share Recovery Job Overview: We are seeking a detail-oriented and results-driven Data Analyst to join our team. The ideal candidate will have expertise in Python programming, web scraping, and data analysis, with a focus on IEPF share recovery . The role involves collecting, processing, and analyzing data from multiple online sources, providing actionable insights to support business decision-making. Key Responsibilities: Data Scraping : Use Python and web scraping techniques to gather data from financial, regulatory, and shareholding-related websites for IEPF (Investor Education and Protection Fund) share recovery. Data Cleaning & Preprocessing : Clean, process, and structure raw data for analysis. Ensure data quality and integrity by identifying and correcting errors in datasets. Data Analysis & Visualization : Analyze large datasets to extract actionable insights regarding share recovery and trends in investor shareholding. Present findings through visualizations (e.g., graphs, dashboards). Reporting : Prepare and present detailed reports on share recovery patterns, trends, and forecasts based on analysis. Present findings to the management team to help drive business decisions. Automation & Optimization : Build and maintain automated web scraping systems to regularly fetch updated shareholding data, optimizing the data pipeline for efficiency. Collaboration : Work closely with business stakeholders to understand data requirements and deliver reports or visualizations tailored to specific needs related to IEPF share recovery. Required Skills & Qualifications: Technical Skills : Strong proficiency in Python for data analysis and automation. Expertise in web scraping using libraries such as BeautifulSoup , Selenium , and Scrapy . Experience with data manipulation and analysis using Pandas , NumPy , and other relevant libraries. Familiarity with SQL for data extraction and querying relational databases. Knowledge of data visualization tools like Matplotlib , Seaborn , or Tableau for presenting insights in an easy-to-understand format. Experience : Minimum of 2-3 years of experience as a Data Analyst or in a similar role, with a focus on Python programming and web scraping. Experience working with financial or investment data, particularly in areas such as IEPF , share recovery , or investor relations . Strong problem-solving skills with the ability to analyze complex datasets and generate actionable insights. Additional Skills : Strong attention to detail and ability to work with large datasets. Ability to work in a collaborative team environment. Familiarity with cloud platforms (e.g., AWS, Google Cloud) and data storage (e.g., databases, cloud data lakes) is a plus. Education : Bachelor’s or Master’s degree in Data Science , Computer Science , Statistics , Finance , or a related field. Soft Skills : Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders. Ability to prioritize tasks and manage multiple projects simultaneously. Strong organizational skills and time management. Preferred Skills: Experience working in the financial industry or understanding of regulatory frameworks (e.g., IEPF regulations and procedures). Familiarity with machine learning models and predictive analytics for forecasting share recovery trends. Ability to automate workflows and optimize existing data collection pipelines. Job Requirements: Comfortable working in a fast-paced environment. Ability to think critically and provide insights that drive strategic decisions. Must be self-motivated and capable of working independently with minimal supervision. Willingness to stay updated with the latest data analysis techniques and web scraping technologies. Job Type: Full-time Pay: ₹20,000.00 - ₹32,000.00 per month Schedule: Day shift Education: Bachelor's (Preferred) Experience: total work: 1 year (Required) Work Location: In person

Job Title: Data Scientist – Python Location: Bhopal (Onsite) Experience: 1 to 3 Years Employment Type: Full-time About Us: At Brandsmashers Tech , we’re passionate about leveraging data to transform industries and empower decision-making. We work across domains like e-commerce, healthcare, agriculture, and education, delivering scalable, data-driven solutions. Join us and be part of a team shaping the future with technology and insights. Job Summary: We are looking for a Data Scientist proficient in Python to join our analytics and AI team. The ideal candidate will have hands-on experience with data preprocessing, statistical analysis, machine learning, and data visualization. You’ll play a key role in deriving actionable insights from data and developing intelligent solutions that drive business value. Key Responsibilities: Analyze large datasets to discover trends, patterns, and insights. Develop, test, and deploy machine learning models using Python libraries (e.g., scikit-learn, TensorFlow, PyTorch). Perform data cleaning, transformation, and feature engineering. Design and implement predictive models and algorithms. Visualize data insights using tools like Matplotlib, Seaborn, Plotly, or Power BI. Collaborate with cross-functional teams including engineering, product, and marketing to integrate data science solutions. Communicate findings to stakeholders through presentations and reports. Stay updated with latest advancements in data science and machine learning. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or related field. 2+ years of hands-on experience in data science or applied machine learning. Strong proficiency in Python and libraries like Pandas, NumPy, Scikit-learn, and Matplotlib. Experience with ML frameworks like TensorFlow, Keras, or PyTorch. Knowledge of SQL and data querying tools. Experience with model deployment is a plus (e.g., using Flask, FastAPI). Excellent problem-solving skills and analytical mindset. Strong communication and collaboration skills. Preferred Qualifications: Experience with cloud platforms (AWS, GCP, or Azure). Knowledge of big data tools (Spark, Hadoop) is a plus. Understanding of MLOps and automated pipelines. Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹40,000.00 per month Benefits: Health insurance Provident Fund Schedule: Day shift Weekend availability Ability to commute/relocate: Govindpura, Bhopal, Madhya Pradesh: Reliably commute or planning to relocate before starting work (Preferred) Experience: Python: 3 years (Required) Data Engineer: 2 years (Required) Language: English (Preferred) Work Location: In person Expected Start Date: 22/05/2025

Job highlights Full time Chennai, Tamil Nadu, India IT (Industrial Assets) Job ID R200001156 Closing date 31/07/2025 Last Updated 21/05/2025 Junior Python Developer Risk Department Chennai, India The Glencore Risk Department is an independent function aiming to control front-line trading. The Risk Department ensures that the risk-reward of the trading books is properly understood by Glencore senior management and that the physical exposure of the business – e.g. oil cargoes, electricity generation, gas deliveries – is correctly valued. This position requires the individual to run, maintain & transform risk reports on the risk positions embedded into the company portfolio and make sure it stays within the company’s risk appetite. We are looking for a skilled analyst with proficient knowledge in python to join market risk team, the role is reporting into the Lead of Market Risk team. Key Responsibilities: Experience: 1-3 Years Collaborate with stakeholders to design, develop, and deploy Python scripts. Write and maintain clean, efficient, and well-documented code. Troubleshoot, debug, and optimize scripts for process updates. Participate in code reviews, adhere to coding standards, and contribute to process improvements. Prepare SOPs for users utilizing the code and maintaining up-to-date documentation in Confluence. Skills to present complex risk metrics to stakeholders. Understanding of the specific risks associated with commodities, including price volatility and influencing factors. Knowledge of financial markets, instruments, and commodity markets, given Glencore's focus on commodities. Understanding methodologies for VaR calculation, such as Monte Carlo VaR simulation, Historical simulation, Stress test and Back-testing is added advantage. Education and Experience Requirements Strong coding skills & proficient in utilizing Pandas for efficient data handling, Matplotlib for creating high-quality visualizations, OOPS for writing organized and reusable code, and NumPy for scientific computing with large arrays and matrices essential. Familiarity with Data structure algorithm. Proficiency in Excel and VBA plus. Previous experience at Market Risk (Banks, Trading houses or Hedge funds) is an added advantage. Highly numerate, with good problem-solving and analytical skills Strong communication skills – able to convey complex ideas clearly to various groups and implement robust reports while maintaining strong relationships. Able to work collaboratively in a team while managing issues independently, ensuring analysis delivers practical business benefits under tight deadlines. Who we are Glencore is one of the world’s largest global diversified natural resource companies and a major producer and marketer of more than 60 commodities that advance everyday life. Through a network of assets, customers and suppliers that spans the globe, we produce, process, recycle, source, market and distribute the commodities that support decarbonisation while meeting the energy needs of today. With over 150,000 employees and contractors and a strong footprint in over 35 countries in both established and emerging regions for natural resources, our marketing and industrial activities are supported by a global network of more than 50 offices. Glencore’s customers are industrial consumers, such as those in the automotive, steel, power generation, battery manufacturing and oil sectors. We also provide financing, logistics and other services to producers and consumers of commodities. Glencore is proud to be a member of the Voluntary Principles on Security and Human Rights and the International Council on Mining and Metals. We are an active participant in the Extractive Industries Transparency Initiative. We will support the global effort to achieve the goals of the Paris Agreement through our efforts to decarbonise our own operational footprint. We believe that we should take a holistic approach and have considered our commitment through the lens of our global industrial emissions. Against a restated 2019 baseline, we are targeting to reduce our Scope 1, 2 and 3 industrial emissions by 15% by the end of 2026, 25% by the end of 2030, 50% by the end of 2035 and we have an ambition to achieve net zero industrial emissions by the end of 2050, subject to a supportive policy environment. For more information see our 2024-2026 Climate Action Transition Plan and the About our emissions calculation and reporting section in our 2023 Annual Report, available on our website at glencore.com/publications. Note*: All applications will be subject to potential background checks. You will be informed if this will be the case. Further information about the processing of your personal data will be made available during the application process. We'll seek your explicit consent prior to processing the data.

ABOUT US: Bain & Company is a global consultancy that helps the world’s most ambitious change-makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition, and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry. In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. Expert Client Delivery (ECD) is an integral unit of BCN. ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutions across all industries, specific domains for corporate cases, client development, private equity diligence, and Bain intellectual property. WHO YOU’LL WORK WITH: This is an opportunity to be a part of Bain’s Financial Services (FS), Centre of Expertise (CoE), based out of Gurugram office. The FS CoE supports the global FS practice with research and analytics, to develop new and update existing FS tools and create the annual IP publications, reports and point-ofviews. In addition, the team also helps global Bain case teams and collaborates with consultants, Research and Data Services, and Expert Partners to deliver client-ready analysis on active cases. The group comprises of 20+ team members, working across Banking, insurance and other FS sectors. What you’ll do Support the BCN case leads in problem solving, hypothesis generation, research and insight generation and quality control Interpret, understand, and break down case requirements into actionable task items for the team-let Lead meaningful and focused meetings on owned project workstreams, deliver business insights effectively to the project leadership Be willing to take on challenging analytical problems and read research papers to come up with cutting-edge solutions from across disciplines to arrive at analytical solutions Be part of the thought leadership exercise to establish a blue-print for cloud-based deployment of any analytical and/or data-driven solution Ensure application performance and scale, maintaining high standards of code quality and thoughtful design Support the process of Translating business problems into ML problems and create ML solutions to produce desired customer business outcomes. Execute and deliver high quality outputs timely to internal and external stakeholders Ability to derive actionable insights from voluminous quantitative and qualitative data/research Provide day-to-day coaching to analysts on various aspects of projects, while also overseeing a workstream for 1-2 analysts Gain proficiency in the key industry data sources KPIs along with developing expertise in analytical tools, models and languages Gain proficiency in select consulting solutions (go-to-market strategy, revenue management, account management, brand strategy, etc.) delivered to and relevant for FS industry clients, along with expertise in one or more key sub-sectors within CP, covering consumer preferences, market trends, competitor landscape, etc. Work on building and deploying advanced analytics solutions, including large-scale data processing, computationally intensive Optimization, Machine Learning and Deep Learning models The focus will be on making the deployment sustainable and scalable, as per solution needs Work on parallel processing of ML solutions, in an optimal manner Collaborating with team members to make the solutions as client-ready as possible (Good-to-have) Ability to deploy advanced analytics solutions on AWS/Azure About You Candidates should be graduates / post-graduates with a strong academic record Work experience range in case the highest qualification is undergraduate studies – 2-5 years of exposure to management consulting, preferably in a global MNC environment Work experience range in case highest qualification is postgraduate studies – 1-2 years of exposure to management consulting, preferably in a global MNC environment Demonstrated technical experience working with technologies related to industrialization of artificial intelligence, machine learning and/or deep learning. A mathematics and statistics background is preferred in addition to experience building complex machine learning models Hands-on experience in building complex statistical models Strong communications skills, should be able to drive discussion/presentations with senior stakeholders and client maps Excellent implementation skills in Python and/or R, SQL and (preferably) PySpark with understanding of in analytical tools and techniques including / similar to Alteryx, Tableau, Power BI Well versed in dealing with large datasets and using ML/DL libraries or packages Deep understanding of the Gen-AI tooling ecosystem including knowledge and experience of Kubernetes, MLOps and AIOps tools (mandatory) Proficient with Excel, and PowerPoint (Good-to-have) Familiar with Cloud services (AWS) related to AI/ML Architect and implement AI-driven solutions Develop and deploy Generative AI-based solutions , leveraging cloud computing platforms (AWS/ Azure/GCP) Hands-on experience with Python programming, microservices architecture, and cloud technologies (AWS) Proven experience with database systems such as SQL Server, PostgreSQL, good to have knowledge of Snowflake, Oracle Frontend and Backend Technologies: Exposure to HTML , CSS, Javascript , ReactJS and FastAPI , Django Exposure to data analysis and visualization libraries like Matplotlib, Plotly , Pandas, Numpy etc. Strong understanding of LLMs, NLP, Chains, Agents and AI model fine-tuning Work in client-facing roles, understand business needs, and translate them into AI-driven solutions Identify technical limitations, propose alternative approaches, and ensure the scalability of AI applications What makes us a great place to work We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents.. Show more Show less

Company Description Prakash Software Solutions Pvt Ltd (PSSPL), founded in 2001, is a globally recognized software development consultancy in the IT space. As a certified Microsoft Solution Partner for Data & AI and Digital & App Innovation (Azure), and an ISO 9001: 2015 & ISO 27001: 2022 certified company, PSSPL has developed over 500 custom B2B and B2C applications for diverse industries. We provide end-to-end mobile and web development, UI/UX design, cloud-based solutions, AR, VR, AI, Big Data, and IoT solutions, as well as advanced quality assurance and dedicated Agile teams. Our focus is on delivering high-quality projects through frequent and open communication and collaboration with our clients. Role Description Experience: 4+ yrs. Skills required: Technical knowledge on Azure, AWS, Python, Jupyter Notebook, COLAB, ChatGPT, Jurrasic-1, Matplotlib, Sklearn, PyTorch, spacy, HuggingFace, SpeechBrain, Wave2Letter, ElasticSearch, AWS Transcribe, Textract, Amazon Sagemaker Natural Language Processing (NLP), Voice App Development, Data Structures & Algorithms, Web Development, Machine Learning, Deep Learning, Natural Language Processing, Data Science, Tableau, SAS Programming, SQL for Data Analytics, Power BI, Clinical Trial Analysis & Reporting, Git & GitHub Location: Ahmedabad/Vadodara Soft Skills: Leadership Skills, Managerial Skills, Communication Skills, Presentation Skills, Analytical & Logical Skills, Team building & Client relationship management What you will do: Project Planning and Management: Develop and execute comprehensive project plans, including scope, timelines, resources, and budget allocation. Define project milestones and deliverables, ensuring adherence to project management best practices throughout the project lifecycle. Requirement Analysis: Collaborate with clients and stakeholders to gather and analyse business requirements. Translate these requirements into technical specifications and project deliverables. Identify any customization or integration needs and define the technical approach accordingly. Solution Architecture: Create comprehensive AI/ML system designs, including architecture, data pipelines, algorithms, and model selection. Ensure that the solution aligns with business goals and is scalable and maintainable. Evaluate and select the most suitable AI/ML technologies, frameworks, and tools for each project. Stay up to date with emerging AI/ML trends and technologies. Team Coordination: Lead and manage cross-functional project teams, including developers, consultants, and other stakeholders. Define roles and responsibilities, assign tasks, and provide guidance and support throughout the project lifecycle. Foster effective collaboration and communication among team members. Risk and Issue Management: Identify and proactively mitigate project risks and issues. Develop contingency plans to address any potential obstacles that may arise during the project. Monitor project progress, track project metrics, and communicate project status to stakeholders, ensuring transparency and timely reporting. Quality Assurance: Establish and enforce quality standards and best practices throughout the project. Conduct regular quality reviews and ensure adherence to coding standards, testing protocols, and documentation requirements. Perform thorough testing and coordinate user acceptance testing (UAT) activities. Client Relationship Management: Build and maintain strong relationships with clients and stakeholders. Provide regular project updates, manage expectations, and address any concerns or issues that arise. Ensure a high level of client satisfaction by delivering projects that meet or exceed their expectations. Continuous Improvement: AI/ML technologies are rapidly evolving. Stay current with the latest research, frameworks, algorithms, and best practices in AI/ML. Subscribe to relevant journals, blogs, and attend conferences and workshops. Invest in ongoing education and training for your AI/ML professionals. Provide opportunities for them to acquire new skills and certifications, attend training programs, and participate in online courses. Requirements: Bachelor’s degree in computer science, Information Technology, or a related field (master’s degree preferred). Practical experience in at least one of Java, Python, or JavaScript. Practical experience with at least one of Spring, Flask, Django, or Node.js. 3+ years of experience. Effective communication skills including uplevelling communication for various leadership levels. Experience moving technical or engineering programs and products from inception to delivery, articulating the impact using metrics. Collaborate with the team in solutioning, design, and code reviews. Analytical and problem-solving experience with large-scale systems. Experience establishing work relationships across multi-disciplinary teams working remotely. Interpersonal skills, including relationship building and collaboration within a diverse, cross-functional team to develop solutions. Organizational and coordination skills along with multitasking experience to get things done in an ambiguous and fast paced environment. Analytical mindset with the ability to identify and mitigate risks, solve problems, and make data-driven decisions. Strong organizational skills and attention to detail, with the ability to manage multiple projects simultaneously. Acquire, clean, and preprocess data from various sources to prepare it for analysis and modelling. Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies in the data. Design and implement data pipelines for efficient data processing and model training. Develop and maintain documentation for data processes, datasets, and models. Collaborate with data scientists to design and evaluate machine learning models. Monitor and assess the performance of machine learning models and make recommendations for improvements. Stay up to date with industry trends and best practices in AI/ML and data analysis. Show more Show less

About the job Founded in 2021, Sugarfit provides a “Personalized evidence-based path to Type 2 and Pre-Diabetes Reversal & management”. Sugarfit leverages a precision health platform combining CGM sensors, Machine Learning, and Medical Science to improve human metabolic health and reverse chronic disease through precision nutrition, progressive fitness and behavioral health advice. We are eager to leverage the power of technology to help people live normal lives. We are looking for true-blue product folks who are passionate about solving problems using technology and are eager to work in an early stage startup to join our team. If you are passionate about, and have experience building platform products in the domain of health, fitness, mobile and data, we would love to talk to you. Sugarfit is expanding rapidly across different cities of India and we are looking for experienced Senior Data Analysts to join our team. Role: Senior Data Analys t Key Responsibilities: ● Work independently to analyze large datasets and provide actionable insights to drive business decisions.Write and optimize complex SQL queries to extract, transform, and manipulate data efficiently (Non-negotiable) ● Develop and maintain Python scripts for data analysis, automation, and visualization. ● Use Excel (including advanced formulas, pivot tables, and macros) for quick ad-hoc analysis and reporting. ● Collaborate with business stakeholders to understand data requirements and translate them into meaningful reports and dashboards.Identify trends, anomalies, and patterns in data, providing recommendations for process improvements. ● Strong understanding of product, business, marketing metricsPresent findings clearly to both technical and non-technical audiences, facilitating data-driven decision-making. Qualifications & Skills: ● 4-5 years of experience in a data analytics role.Strong expertise in SQL (complex queries, optimization, indexing, joins, CTEs, window functions, etc.) ● Proficiency in Python (Pandas, NumPy, Matplotlib, Seaborn, or similar libraries).Advanced Excel skills, including pivot tables, lookup functions, and automation. ● Experience working with large datasets, relational databases, and ETL processes.Strong business acumen with the ability to engage in meaningful discussions with stakeholders. ● Ability to work independently, take ownership, and drive projects end-to-end.Excellent communication skills to present insights and influence decision-making. ● Experience with BI tools (Tableau, Power BI, Looker, etc.) is a plus. Show more Show less

Your Team Responsibilities AI and Data Engineering Team ResponsibilitiesDevelopment of Scalable and Efficient AI-Driven Solutions Create AI solutions that address complex business challenges. Ensure solutions are scalable to handle large data volumes and efficient in performance. Development and Maintenance of Derived Data Platforms Build and sustain platforms that generate and manage derived data. Integrate data from various sources, maintain data accuracy, and ensure reliability. Development of Data Science-Based Solutions for Quality Check of Data Points Ensure the accuracy and reliability of data through advanced data science techniques. Implement metrics, detect anomalies, and validate data points to maintain high data quality. Your Key Responsibilities2. Development and Maintenance of Derived Data Platforms3. Development of Data Science-Based Solutions for Quality Check of Data Points Development of Scalable and Efficient AI-Driven Solutions Create AI/ML solutions that address complex business challenges. Understand business use cases and identify where AI can add value. Design, train, and validate machine learning models tailored to specific business needs. Leverage LLMs to build solutions solving business problems Ensure solutions can handle large volumes of data and scale with business growth. Optimize models and algorithms for performance and resource utilization. Build and sustain platforms that generate and manage derived data for MSCI. Development of new calculations to be added to exisitng derived data platform. Regularly update and maintain the platforms to ensure data accuracy and reliability. Implement checks to maintain high data quality. Ensure the accuracy and reliability of data through advanced data science techniques. Define and implement metrics to assess data quality. Develop models to detect anomalies and inconsistencies in data. Create automated processes to validate data points against predefined standards. Continuously refine quality check methods based on feedback and new insights. Your Skills And Experience That Will Help You Excel Artificial Intelligence (AI) and Machine Learning (ML) Understanding of machine learning algorithms, deep learning, neural networks, and reinforcement learning. Understanding and experience on Generative AI. Proficiency in working with large language models like GPT, BERT, and their variants. Experience in fine-tuning and deploying these models for various applications. Familiarity with frameworks like TensorFlow, PyTorch, and Keras. Programming Languages Python: Proficiency in Python for data manipulation, model development, and automation. Experience with libraries such as NumPy, pandas, scikit-learn, and matplotlib. Java: Strong skills in Java for building scalable and efficient applications. Knowledge of Java frameworks like Spring. Oracle: Expertise in Oracle databases, including SQL and PL/SQL. Experience in database design, optimization, and management. About MSCI What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com Show more Show less

Job Title: Data Analysis and Power BI Trainer Location: Kasaragod Job Type: Full-time Schedule: Monday to Saturday Time: 9.00 AM to 5.00 PM Experience Required: 1+ Year Experienced/ Freshers can Apply Educational Qualification: Plus Two & Above We are seeking an experienced and passionate Data Analysis and Power BI Trainer to deliver high-quality training sessions to students or professionals. The ideal candidate should have a strong background in data analytics, business intelligence, and hands-on expertise in Power BI. You will be responsible for designing training modules, delivering engaging sessions, and ensuring learners acquire practical skills in data analysis and visualization. Key Responsibilities: Design, develop, and deliver training programs on Data Analysis and Power BI . Explain complex data concepts in a simple, engaging, and easy-to-understand manner. Prepare training materials, presentations, and assessments. Stay updated with the latest features of Power BI and data analytics tools. Provide mentorship and support to trainees, answer queries, and guide them on projects or assignments. Evaluate learners’ performance and provide constructive feedback. Customize training content as per the learner’s background and skill level. Assist in the development of case studies and capstone projects. Required Skills Proven experience in data analytics , Power BI , and data visualization . Proficiency in tools and technologies such as Microsoft Excel , SQL , Power Query , and Power BI Service . Strong understanding of data modeling, dashboard creation, and reporting best practices. Excellent communication and presentation skills. Prior experience in training or teaching is a strong advantage. Technical Skills Power BI (Expert-level) Microsoft Excel (Advanced) SQL Data Visualization Best Practices Data Analysis Database Knowledge Python (Pandas, Matplotlib, Seaborn) Tableau or other BI tools Job Type: Full-time Schedule: Day shift Ability to commute/relocate: Kasaragod, Kerala: Reliably commute or planning to relocate before starting work (Preferred) Location: Kasaragod, Kerala (Preferred) Work Location: In person Job Type: Full-time Pay: ₹15,000.00 - ₹20,000.00 per month Schedule: Day shift Work Location: In person

Job Description Who You’ll Work With Arista Networks is looking for a Software Developer to build and implement software tools and Machine Learning models. The ADE will work with other Developers throughout the software development life cycle. The role necessitates Team Player abilities with a keen eye for detail and problem-solving skills. If you also have experience in Agile frameworks and popular Machine learning models, we’d like to meet you. The goal will be to build efficient programs and systems that serve user needs Collect, process, and clean large data sets from various sources. What You’ll Do Design machine learning systems Apply statistical analysis and machine learning techniques to solve complex business problems. Develop machine learning applications according to requirements Select appropriate datasets and data representation methods Run machine learning tests and experiments Perform statistical analysis and fine-tuning using test results Train and retrain systems when necessary Visualize data and present findings to stakeholders using data visualization tools. Verify and deploy programs and systems Troubleshoot, debug and upgrade the existing systems Recommend and execute improvements Create technical documentation for reference and reporting Collaborate with cross-functional teams to implement data-driven solutions. Stay updated with the latest advancements in data science and machine learning. Study and transform data science prototypes Qualifications Bachelor’s Degree in Computer Science from a four-year college or university or related experience and/or training; or equivalent combination of education and experience. 5 to 8 years experience. Attention to detail Knowledge of Python and SQL. Understanding of data structures, data modelling and software architecture Deep knowledge of math, probability, statistics and algorithms Ability to write robust code in Python Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Proficiency in data visualization tools such as Tableau, Power BI, or Matplotlib. Experience in using Jupyter notebooks to collaborate on research is a plus. Familiarity with Agile software development methodology Creative thinker and team player Should be ready to adopt new technologies Excellent communication skills Resourcefulness and troubleshooting aptitude Nice to Have: Working experience in docker and K8s deployments Working Experience in AWS/GCP Working experience with Network technologies Show more Show less

Who we are: Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston or Berlin, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking. Wayfair runs the largest custom e-commerce large parcel network in the United States, approximately 1.6 million square meters of logistics space. The nature of the network is inherently a highly variable ecosystem that requires flexible, reliable, and resilient systems to operate efficiently. We are looking for a highly motivated and solution-oriented Senior Data Analyst to join our Search team. The team leverages Wayfair’s huge datasets to inform the product roadmap of our Search algorithms and technology. We work in close collaboration with a high performing team of engineers, machine learning scientists, and product managers who are on the leading edge of the search space. Examples of our work are: Design, run and analyze the results of A/B tests of new search algorithms and strategies (e.g. to generate predictive search suggestions); we also develop new testing and test analysis methodologies. KPI reporting and monitoring; this includes anomaly detection tools and advanced measurement approaches. Exploratory data analysis (e.g. clustering/segmentation) to generate new insights & inform our search roadmap. Use and develop our in-house automated tools; for instance, we have created a QA tool to better understand the performance of our new algorithms before A/B testing them. What you will do: Run open-ended exploratory data analysis to identify new ideas and opportunities Design and run A/B tests of our latest search algorithms Proactively monitor our search algos and systems to identify potential issues, determine root causes, and resolve. Build new tools that allow us to be more productive and efficient Work closely and build productive relationships with our product, engineering and machine learning stakeholders. Communicate key insights and recommendations to cross-functional executive leaders across the organization We Are a Match Because You Have: 3+ years of professional experience in an analytical role (in addition to any graduate education). Bachelors in computer science, engineering, math, statistics, economics, or other quantitative discipline; Masters preferred. Analytics or Data Science experiences with e-commerce companies is a strong plus. In-depth experience with SQL (aggregate functions, query optimization, stored procedures, string parsing, Vertica/Hive/Presto/Spark, etc.), required. In-depth experience with python & python tools (Jupyter notebooks, functions, pandas, sklearn, matplotlib, etc.), required. Experience with experimental design (A/B tests) and statistical analysis to drive business decision making, required. Experience working with machine learning algorithms/techniques (decision trees, random forest, deep learning, etc.) within a business context, preferred. Strong written and verbal communication with a team player, highly collaborative attitude. Ability to collaborate and proactively communicate with stakeholders. Proven track record of taking ownership and driving results. Thrive in a fast-paced environment. Strong business acumen, analytical skills, and technical abilities along with Show more Show less

Designation : Jr./Sr. Data Scientist We are seeking a Jr./Sr. Data Scientist with strong expertise in data analysis, machine learning, and visualization. The ideal candidate should be proficient in Python, Pandas, and Matplotlib, with experience in building and optimizing data-driven models. Some experience in Natural Language Processing (NLP) and Named Entity Recognition (NER) models would be a plus. Exp : 3-8 yrs Location : Mohali Requirements: Analyze and process large datasets using Python and Pandas. Develop and optimize machine learning models for predictive analytics. Create data visualizations using Matplotlib and Seaborn to support decision-making. Perform data cleaning, feature engineering, and statistical analysis. Work with structured and unstructured data to extract meaningful insights. Implement and fine-tune NER models for specific use cases (if required). Collaborate with cross-functional teams to drive data-driven solutions. Required Skills & Qualifications: Strong proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn, etc.). Experience in data analysis, statistical modeling, and machine learning. Hands-on expertise in data visualization using Matplotlib and Seaborn. Understanding of SQL and database querying. Familiarity with NLP techniques and NER models is a plus. Strong problem-solving and analytical skills. Interested candidates can share their updated cv here at manpreet.kaur(at)chicmicstudios.in or whatsapp me at 9875952835 Job Type: Full-time Benefits: Leave encashment Paid sick time Paid time off Provident Fund Schedule: Day shift Education: Bachelor's (Preferred) Experience: total: 3 years (Preferred) Work Location: In person

Chicmic Studios Job Role: Data Scientist Experience Required: 3+ Years Skills Required: Data Science, Python, Pandas, Matplotlibs Job Description: We are seeking a Data Scientist with strong expertise in data analysis, machine learning, and visualization. The ideal candidate should be proficient in Python, Pandas, and Matplotlib, with experience in building and optimizing data-driven models. Some experience in Natural Language Processing (NLP) and Named Entity Recognition (NER) models would be a plus. Roles & Duties: Analyze and process large datasets using Python and Pandas. Develop and optimize machine learning models for predictive analytics. Create data visualizations using Matplotlib and Seaborn to support decision-making. Perform data cleaning, feature engineering, and statistical analysis. Work with structured and unstructured data to extract meaningful insights. Implement and fine-tune NER models for specific use cases (if required). Collaborate with cross-functional teams to drive data-driven solutions Required Skills & Qualifications: Strong proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn, etc.). Experience in data analysis, statistical modeling, and machine learning. Hands-on expertise in data visualization using Matplotlib and Seaborn. Understanding of SQL and database querying. Familiarity with NLP techniques and NER models is a plus. Strong problem-solving and analytical skills. Contact: 9875952836 Office Address: F273, Phase 8B industrial Area, Mohali, Punjab. Job Type: Full-time Schedule: Day shift Monday to Friday Work Location: In person

🧠 Data Science Intern (Remote) 🌐 🔍 Are you curious about machine learning, predictive models, and using data to solve real-world problems? Ready to gain hands-on experience in Data Science from anywhere in the world? This is your chance! 📍 Location: Virtual / Remote 💼 Type: Internship (Unpaid) 🕒 Duration & Working Hours: Flexible – Work on your own schedule! 🌟 About the Role: We’re looking for a passionate and driven Data Science Intern to join our remote team! This internship is an exciting opportunity for students, recent graduates, or self-learners who want to apply their data science skills in real projects and make a measurable impact. You'll work on datasets, build models, and generate actionable insights using tools and techniques from the world of data science — all within a flexible, remote environment. 🚀 What You’ll Gain: ✅ 100% Remote – Work from anywhere 🌍 ✅ Flexible Hours – You decide when to work ⏰ ✅ Hands-On Projects – Apply your data science skills to real challenges 📊 ✅ Portfolio Development – Boost your resume with real experience 📈 ✅ Mentorship – Learn from a supportive and collaborative team 👥 👀 Who We’re Looking For: 🎓 Students or recent graduates in Computer Science, Data Science, Engineering, or related fields 📈 Eager to explore machine learning, data modeling, and analysis 🛠️ Experience with Python, pandas, NumPy, scikit-learn, or similar tools 📊 Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, or Tableau) 🧠 Problem-solving mindset with attention to detail 💬 Independent, proactive, and good at remote collaboration 📅 Apply By: May 25th If you're ready to dive into data and gain practical experience in data science, we’d love to hear from you! Let’s turn data into discoveries together 💡📊 Show more Show less

🧠 Data Science Intern (Remote) 🌐 🔍 Are you curious about machine learning, predictive models, and using data to solve real-world problems? Ready to gain hands-on experience in Data Science from anywhere in the world? This is your chance! 📍 Location: Virtual / Remote 💼 Type: Internship (Unpaid) 🕒 Duration & Working Hours: Flexible – Work on your own schedule! 🌟 About the Role: We’re looking for a passionate and driven Data Science Intern to join our remote team! This internship is an exciting opportunity for students, recent graduates, or self-learners who want to apply their data science skills in real projects and make a measurable impact. You'll work on datasets, build models, and generate actionable insights using tools and techniques from the world of data science — all within a flexible, remote environment. 🚀 What You’ll Gain: ✅ 100% Remote – Work from anywhere 🌍 ✅ Flexible Hours – You decide when to work ⏰ ✅ Hands-On Projects – Apply your data science skills to real challenges 📊 ✅ Portfolio Development – Boost your resume with real experience 📈 ✅ Mentorship – Learn from a supportive and collaborative team 👥 👀 Who We’re Looking For: 🎓 Students or recent graduates in Computer Science, Data Science, Engineering, or related fields 📈 Eager to explore machine learning, data modeling, and analysis 🛠️ Experience with Python, pandas, NumPy, scikit-learn, or similar tools 📊 Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, or Tableau) 🧠 Problem-solving mindset with attention to detail 💬 Independent, proactive, and good at remote collaboration 📅 Apply By: May 25th If you're ready to dive into data and gain practical experience in data science, we’d love to hear from you! Let’s turn data into discoveries together 💡📊 Show more Show less

🧠 Data Science Intern (Remote) 🌐 🔍 Are you curious about machine learning, predictive models, and using data to solve real-world problems? Ready to gain hands-on experience in Data Science from anywhere in the world? This is your chance! 📍 Location: Virtual / Remote 💼 Type: Internship (Unpaid) 🕒 Duration & Working Hours: Flexible – Work on your own schedule! 🌟 About the Role: We’re looking for a passionate and driven Data Science Intern to join our remote team! This internship is an exciting opportunity for students, recent graduates, or self-learners who want to apply their data science skills in real projects and make a measurable impact. You'll work on datasets, build models, and generate actionable insights using tools and techniques from the world of data science — all within a flexible, remote environment. 🚀 What You’ll Gain: ✅ 100% Remote – Work from anywhere 🌍 ✅ Flexible Hours – You decide when to work ⏰ ✅ Hands-On Projects – Apply your data science skills to real challenges 📊 ✅ Portfolio Development – Boost your resume with real experience 📈 ✅ Mentorship – Learn from a supportive and collaborative team 👥 👀 Who We’re Looking For: 🎓 Students or recent graduates in Computer Science, Data Science, Engineering, or related fields 📈 Eager to explore machine learning, data modeling, and analysis 🛠️ Experience with Python, pandas, NumPy, scikit-learn, or similar tools 📊 Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, or Tableau) 🧠 Problem-solving mindset with attention to detail 💬 Independent, proactive, and good at remote collaboration 📅 Apply By: May 25th If you're ready to dive into data and gain practical experience in data science, we’d love to hear from you! Let’s turn data into discoveries together 💡📊 Show more Show less

🧠 Data Science Intern (Remote) 🌐 🔍 Are you curious about machine learning, predictive models, and using data to solve real-world problems? Ready to gain hands-on experience in Data Science from anywhere in the world? This is your chance! 📍 Location: Virtual / Remote 💼 Type: Internship (Unpaid) 🕒 Duration & Working Hours: Flexible – Work on your own schedule! 🌟 About the Role: We’re looking for a passionate and driven Data Science Intern to join our remote team! This internship is an exciting opportunity for students, recent graduates, or self-learners who want to apply their data science skills in real projects and make a measurable impact. You'll work on datasets, build models, and generate actionable insights using tools and techniques from the world of data science — all within a flexible, remote environment. 🚀 What You’ll Gain: ✅ 100% Remote – Work from anywhere 🌍 ✅ Flexible Hours – You decide when to work ⏰ ✅ Hands-On Projects – Apply your data science skills to real challenges 📊 ✅ Portfolio Development – Boost your resume with real experience 📈 ✅ Mentorship – Learn from a supportive and collaborative team 👥 👀 Who We’re Looking For: 🎓 Students or recent graduates in Computer Science, Data Science, Engineering, or related fields 📈 Eager to explore machine learning, data modeling, and analysis 🛠️ Experience with Python, pandas, NumPy, scikit-learn, or similar tools 📊 Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, or Tableau) 🧠 Problem-solving mindset with attention to detail 💬 Independent, proactive, and good at remote collaboration 📅 Apply By: May 25th If you're ready to dive into data and gain practical experience in data science, we’d love to hear from you! Let’s turn data into discoveries together 💡📊 Show more Show less

Imagine a place where your passion for technology meets the thrill of innovation. Picture yourself as part of a dynamic team, driving tangible business impact - through innovative AI solutions. Welcome to our world! We win with Inclusion Husqvarna Group is proud to be an equal opportunity workplace and is an affirmative action employer. We are an inclusive employer seeking to build a diverse team that reflects our community. ”We particularly welcome applications from women and diverse groups to help us achieve a balanced workforce and enrich our team dynamics” About this opportunity: This is a chance to be part of a team that's passionate about building something meaningful. The thrill of working on research projects that push the boundaries of technology, a collaborative environment where your ideas are valued and your contributions make a real impact. The opportunity to proactively drive the agenda - and shape the future of AI. About the role: As our new Data Scientist, you’ll be at the heart of our AI transformation, responsible for developing and implementing strategies and guidelines for AI architecture. Your role will be central in building the bridge between innovative technology and everyday application, and you’ll collaborate across departments, to ensure our teams are equipped and confident in leveraging AI solutions. Who You Are: As the natural team player you are, you thrive on building strong relationships. You have great communication, presentation, collaboration, and teamwork skills, and shine when it comes to solving problems and making reliable decisions. Ability to translate business problems into data science solutions and having strong problem-solving skills with a proactive approach. Efficient in prioritization and time management, you work seamlessly with cross-functional teams and stakeholders. Self-driven and curious, you bring an innovative approach to new technologies, especially AI and understand relevant cloud trends. Proven experience in multinational corporations and adept at collaborating with diverse, international teams. Your eagerness to learn keeps you current with industry trends. Balancing long-term goals with short-term needs, you drive success and innovation, and with a proactive mindset, you continuously push the boundaries of what’s possible. Your Qualifications: Minimum of 8 years of experience in end-to-end development and delivery of data and AI solutions. Familiarity with Databricks and experience with repository management tools like Git. Minimum of 8 years of experience with cloud services: primarily AWS and / or Azure. Strong knowledge of Python (including relevant libraries such as numpy, sci-kit learn, pandas, matplotlib, etc.), SQL, and experience in Java or Scala. Experience with big data technologies such as Spark. Good experience and knowledge of the principles, technologies, and algorithms of GenAI, AI, machine learning and operations research; ability to develop, implement, and deliver related systems, products, and services. Education and Experience: Bachelor’s / Master’s / Ph.D. degree in Computer Science, Software Engineering, or a related field. Proven experience as a Data Scientist, Data Engineer, Software Developer, or similar role. Experience in end-to-end development and delivery of software products in cloud environments is mandatory. Certifications in AI technologies would be an advantage. Location: Mumbai India But, with our hybrid working environment, you'll have the flexibility to work both onsite and remotely, promoting work-life balance for all team members. We meet in the office at least 2-3 days a week (50%). Your application: If this sounds like the adventure you’ve been waiting for, we want to hear from you! Apply as soon as possible but no later than 2025-05-30 . We apply ongoing selection. What Husqvarna Group Offers You: Inclusive global culture of Bold, Dedicated & Care. We care about our People, focus our teams health & wellness, and offer flexible work environment Creativity is ingrained in our culture. We are innovative collaborators by nature We have global presence, here you get an opportunity to be part of a Market Leader Diversity is important to us. We believe in fostering an environment where everyone can bring their whole selves to work. If you are passionate about driving innovation and value diversity, we encourage you to apply. Join us in creating a more inclusive future! About Husqvarna Group: Husqvarna Group is a global leader in innovative solutions for managing forests, parks, and gardens, as well as cutting equipment and diamond tools for the light construction and stone industries. With an innovative mindset, we are dedicated to deliver high-quality solutions ranging from robotic mowers to chainsaws, watering systems and power cutters, with a strong focus on our customers and future generations. Founded in the Swedish town Huskvarna in 1689, we have been pioneers in our business for more than three centuries. Today, we are mainly operating under the Husqvarna and Gardena brands, serving consumers and professionals in over 100 countries through direct sales, dealers, and retailers. Headquartered in Stockholm, Sweden, Husqvarna Group employs approximately 13,300 people in 40 countries and reported net sales of SEK 48,4 billion in 2024. Husqvarna Group is listed on Nasdaq Stockholm. Last date to apply: 30 May 2025 Show more Show less

Position: Data Analyst Intern (Full-Time) Company: Lead India Location: Remote Stipend: ₹25,000/month Duration: 1–3 months (Full-Time Internship) About Lead India: Lead India is a forward-thinking technology company that helps businesses make smarter decisions through data. We provide meaningful internship opportunities for emerging professionals to gain real-world experience in data analysis, reporting, and decision-making. Role Overview: We are seeking a Data Analyst Intern to support our data and product teams in gathering, analyzing, and visualizing business data. This internship is ideal for individuals who enjoy working with numbers, identifying trends, and turning data into actionable insights. Key Responsibilities: Analyze large datasets to uncover patterns, trends, and insights Create dashboards and reports using tools like Excel, Power BI, or Tableau Write and optimize SQL queries for data extraction and analysis Assist in data cleaning, preprocessing, and validation Collaborate with cross-functional teams to support data-driven decisions Document findings and present insights to stakeholders Skills We're Looking For: Strong analytical and problem-solving skills Basic knowledge of SQL and data visualization tools (Power BI, Tableau, or Excel) Familiarity with Python for data analysis (pandas, matplotlib) is a plus Good communication and presentation skills Detail-oriented with a willingness to learn and grow What You’ll Gain: ₹25,000/month stipend Real-world experience in data analysis and reporting Mentorship from experienced analysts and developers Remote-first, collaborative work environment Potential for a Pre-Placement Offer (PPO) based on performance Show more Show less

Job Title: Data Analyst Trainee Location: Remote Job Type: Internship (Full-Time) Duration: 1–3 Months Stipend: ₹25,000/month Department: Data & Analytics Job Summary: We are seeking a motivated and analytical Data Analyst Trainee to join our remote analytics team. This internship is perfect for individuals eager to apply their data skills in real-world projects, generate insights, and support business decision-making through analysis, reporting, and visualization. Key Responsibilities: Collect, clean, and analyze large datasets from various sources Perform exploratory data analysis (EDA) and generate actionable insights Build interactive dashboards and reports using Excel, Power BI, or Tableau Write and optimize SQL queries for data extraction and manipulation Collaborate with cross-functional teams to understand data needs Document analytical methodologies, insights, and recommendations Qualifications: Bachelor’s degree (or final-year student) in Data Science, Statistics, Computer Science, Mathematics, or a related field Proficiency in Excel and SQL Working knowledge of Python (Pandas, NumPy, Matplotlib) or R Understanding of basic statistics and analytical methods Strong attention to detail and problem-solving ability Ability to work independently and communicate effectively in a remote setting Preferred Skills (Nice to Have): Experience with BI tools like Power BI, Tableau, or Google Data Studio Familiarity with cloud data platforms (e.g., BigQuery, AWS Redshift) Knowledge of data storytelling and KPI measurement Previous academic or personal projects in analytics What We Offer: Monthly stipend of ₹25,000 Fully remote internship Mentorship from experienced data analysts and domain experts Hands-on experience with real business data and live projects Certificate of Completion Opportunity for a full-time role based on performance Show more Show less

Position: Data Analyst Intern (Full-Time) Company: Lead India Location: Remote Stipend: ₹25,000/month Duration: 1–3 months (Full-Time Internship) About Lead India: Lead India is a growing technology and data-driven organization committed to empowering businesses with actionable insights. We believe in building strong foundations for aspiring professionals through hands-on experience and real-world projects in a supportive, remote-first environment. Role Overview: We are looking for a Data Analyst Intern to assist in collecting, analyzing, and interpreting data to help guide business decisions. You’ll work closely with data and product teams to deliver reports, dashboards, and insights that impact real projects. Key Responsibilities: Collect, clean, and validate data from various sources Perform exploratory data analysis (EDA) to identify trends and patterns Develop dashboards and reports using tools like Excel, Power BI, or Tableau Write basic SQL queries to extract data from databases Assist in interpreting data for product and business strategy Present findings in a clear and concise manner to stakeholders Skills We're Looking For: Strong analytical mindset and attention to detail Basic understanding of data analysis, statistics, and visualization techniques Familiarity with tools like Excel, Power BI, or Tableau Basic knowledge of SQL or Python (pandas, matplotlib, etc.) is a plus Effective communication and documentation skills Eagerness to learn and contribute in a fast-paced environment What You’ll Gain: ₹25,000/month stipend Hands-on experience in data analysis and reporting Mentorship from experienced analysts and data professionals Remote work flexibility Opportunity for a Pre-Placement Offer (PPO) based on performance Show more Show less

Job Title: Data Analysis Intern Location: Remote Job Type: Internship (Full-Time) Duration: 1–3 Months Stipend: ₹25,000/month Department: Data & Analytics Job Summary: We are seeking a detail-oriented and analytical Data Analysis Intern to join our remote data team. This internship is ideal for individuals looking to apply their skills in statistics, data handling, and business intelligence to real-world problems. You will gain hands-on experience with data tools and contribute to meaningful data-driven decision-making. Key Responsibilities: Collect, clean, and preprocess data from various sources Perform exploratory data analysis (EDA) and identify trends, patterns, and insights Create visualizations and dashboards to present findings using tools like Excel, Power BI, or Tableau Assist in building reports and communicating insights to different teams Document analytical processes and ensure data accuracy and consistency Collaborate with cross-functional teams to support ongoing data initiatives Qualifications: Bachelor’s degree (or final year student) in Data Science, Statistics, Computer Science, Economics, or related field Strong skills in Excel, SQL, and Python or R Understanding of basic statistical concepts and data analysis techniques Familiarity with data visualization tools such as Power BI, Tableau, or Matplotlib Good problem-solving skills and attention to detail Ability to work independently in a remote environment Preferred Skills (Nice to Have): Experience working with large datasets or real-world business data Knowledge of A/B testing, correlation analysis, or regression techniques Exposure to data cleaning and automation tools Familiarity with Jupyter Notebooks, Google Sheets, or cloud data tools What We Offer: Monthly stipend of ₹25,000 100% remote internship Exposure to real-world business and product data Mentorship from experienced data analysts and domain experts Certificate of Completion Opportunity for full-time placement based on performance Show more Show less

Position: Data Analyst or Analysis Intern (Full-Time) Company: Lead India Location: Remote Stipend: ₹25,000/month Duration: 1–3 months (Full-Time Internship) About Lead India: Lead India is a forward-thinking technology company that helps businesses make smarter decisions through data. We provide meaningful internship opportunities for emerging professionals to gain real-world experience in data analysis, reporting, and decision-making. Role Overview: We are seeking a Data Analyst Intern to support our data and product teams in gathering, analyzing, and visualizing business data. This internship is ideal for individuals who enjoy working with numbers, identifying trends, and turning data into actionable insights. Key Responsibilities: Analyze large datasets to uncover patterns, trends, and insights Create dashboards and reports using tools like Excel, Power BI, or Tableau Write and optimize SQL queries for data extraction and analysis Assist in data cleaning, preprocessing, and validation Collaborate with cross-functional teams to support data-driven decisions Document findings and present insights to stakeholders Skills We're Looking For: Strong analytical and problem-solving skills Basic knowledge of SQL and data visualization tools (Power BI, Tableau, or Excel) Familiarity with Python for data analysis (pandas, matplotlib) is a plus Good communication and presentation skills Detail-oriented with a willingness to learn and grow What You’ll Gain: ₹25,000/month stipend Real-world experience in data analysis and reporting Mentorship from experienced analysts and developers Remote-first, collaborative work environment Potential for a Pre-Placement Offer (PPO) based on performance Show more Show less

Job Title: Data Science Intern Job ID: 0459 Work Mode: Remote Experience Required: Fresher Stipend: ₹10,500 per month About The Role We’re looking for a Data Science Intern who is eager to explore the world of data and contribute to real-world projects. This is an exciting opportunity for recent graduates or students to work hands-on with data collection, analysis, visualization, and machine learning under the mentorship of experienced data scientists. If you're passionate about transforming raw data into actionable insights and learning through practical experience, this role is for you. Key Responsibilities Data Preparation: Collect, clean, and preprocess data from diverse sources such as databases, APIs, and spreadsheets. Data Analysis: Perform exploratory data analysis (EDA) to identify patterns, trends, and key insights. Machine Learning: Support the development and evaluation of ML models for predictive and classification tasks. Visualization: Build visual dashboards and reports using tools like Tableau, Power BI, Matplotlib, or Seaborn. Cross-functional Collaboration: Work closely with software engineers, data scientists, and product teams. Documentation: Maintain clear records of data pipelines, methodologies, and insights. Continuous Learning: Keep up with the latest tools, frameworks, and best practices in data science. Who Can Apply Currently pursuing or recently completed a degree in Data Science, Computer Science, Mathematics, Statistics, or a related field. Strong foundation in Python or R for data analysis and machine learning. Experience with Pandas, NumPy, or similar data manipulation libraries. Familiarity with machine learning frameworks like scikit-learn, TensorFlow, or PyTorch. Proficient in SQL for database querying. Knowledge of EDA techniques and basic statistical concepts. Ability to create compelling data visualizations and translate insights into actionable outcomes. Strong communication skills and a proactive approach to learning. Why Join Us? Fully remote internship with flexible work hours Work with real-world data and gain hands-on exposure to live projects Mentorship from experienced professionals in the data science field Certificate of Completion provided A great starting point for a career in analytics, ML, or AI Note: This is a paid internship.Skills: python,tableau,r,power bi,matplotlib,pytorch,seaborn,tensorflow,scikit-learn,numpy,sql,data analysis,pandas,data science Show more Show less

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 18th May 2025 Opportunity: Full-time role based on performance + Internship Certificate About Unified Mentor Unified Mentor provides aspiring professionals with hands-on experience in data science through industry-relevant projects, helping them build successful careers. Responsibilities Collect, preprocess, and analyze large datasets Develop predictive models and machine learning algorithms Perform exploratory data analysis (EDA) to extract insights Create data visualizations and dashboards for effective communication Collaborate with cross-functional teams to deliver data-driven solutions Requirements Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field Proficiency in Python or R for data analysis and modeling Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib Strong analytical and problem-solving skills Excellent communication and teamwork abilities Stipend & Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) Hands-on experience in data science projects Certificate of Internship & Letter of Recommendation Opportunity to build a strong portfolio of data science models and applications Potential for full-time employment based on performance How to Apply Submit your resume and a cover letter with the subject line "Data Science Intern Application." Equal Opportunity: Unified Mentor welcomes applicants from all backgrounds. Show more Show less