1486 Matplotlib Jobs

About Us: We love going to work and think you should too. Our team is dedicated to trust, customer obsession, agility, and striving to be better everyday. These values serve as the foundation of our culture, guiding our actions and driving us towards excellence. We foster a culture of performance and recognition, allowing us to transform growth as we enable our employees to do the best work of their careers. This position is located in Pune. You'll be working in a major tech center of Pune, India. Across the globe, our Centers of Energy serve as hubs where we accelerate productivity and collaboration, inspire creativity, and cultivate a culture of connection and celebration. Our teams coordinate their time in Centers of Energy to reflect how they work best. To learn more about life at LogicMonitor, check out our Careers Page. What You'll Do: The Data Scientist, CX will be part of the Customer Experience (CX) organization and help us analyze the health of our business through data and operational excellence. This role will play a key role in the team’s effort to proactively identify, develop and drive longer-term strategies and initiatives that deliver retention, growth & a superior experience for our Customers. The successful candidate will have relentless curiosity and possess a passion for creating innovative analysis to identify opportunities. Moreover, he/she/they will excel at extracting insights from data, converting ideas to action, and will feel comfortable interacting with senior management on a regular basis. You will be an integral part of the Customer Experience organization, contributing to the analysis of our business's health through data and operational excellence. Your role will be a key contributor to the Customer Experience (CX) organization, leveraging data science and analytics techniques to evaluate the health of our business and achieve operational excellence. This role will focus on applying data modeling techniques, predictive analytics, and statistical methods to uncover actionable insights that drive retention, growth, and an exceptional customer experience. The ideal candidate will have a strong technical background, exceptional analytical capabilities, and the ability to translate complex data into meaningful strategies. Here's a closer look at this key role: Define Metrics & Dashboards : Collaborate with cross-functional teams to establish metrics, dashboards, and data models that yield actionable insights and drive business improvements. Develop Predictive Models : Design models that analyze customer behavior trends—such as adoption, churn, and retention—to support strategic decision-making.Implementing and validating predictive and prescriptive models and creating and maintaining statistical models & incorporating machine learning techniques in your projects Customize Analytical Tools : Enhance analytical efforts by tailoring tools (e.g., DBT workflows, dashboards) to identify business opportunities and optimize processes. Working in an Agile, collaborative environment, partnering with other teams, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicate Insights : Communicating with internal teams to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences. What You'll Need: 4-5 years of experience in Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed solutions. Strong programming skills in Python, with experience in production-grade data science workflows. Hands-on experience with Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn for modeling and exploratory data analysis. Strong understanding and practical experience with Supervised learning techniques and Unsupervised learning methods to segment customers or usage patterns. Experience with data visualization tools (e.g., Tableau, Power BI, Looker). Familiarity with SQL and cloud-based data platforms (e.g., Snowflake, dbt, Airflow) is a plus. Click here to read our International Applicant Privacy Notice. LogicMonitor is an Equal Opportunity Employer At LogicMonitor, we believe that innovation thrives when every voice is heard and each individual is empowered to bring their unique perspective. We’re committed to creating a workplace where diversity is celebrated, and all employees feel inspired and supported to contribute their best. For us, equal opportunity means fostering a truly inclusive culture where everyone has the chance to grow and succeed. We don’t just open doors; we invite you to step through and be part of something bigger. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Our goal is to ensure an accessible and inclusive experience for every candidate. If you need a reasonable accommodation during the application or interview process under applicable local law, please submit a request via this Accommodation Request Form. Know your rights: workplace discrimination is illegal. Please click here to review LogicMonitor’s U.S. Pay Transparency Nondiscrimination Provision.

📍 Location: Remote (100% Virtual) 💼 Type: Internship (Unpaid) 🕒 Schedule: 5–7 hours/week, Flexible 🎁 Perks: Certificate of Completion + Letter of Recommendation (6 months) About Us Skillfied Mentor is a startup focused on providing practical, project-based virtual internships for students and freshers in emerging tech fields like AI, data science, and machine learning. About the Internship This internship is designed for students who are passionate about machine learning and want to apply their Python knowledge to real-world projects. You’ll explore core ML algorithms, build small models, and work on applied tasks like classification, regression, and clustering. Key Responsibilities Work with clean and structured datasets for ML tasks Implement basic ML models using Python (Scikit-learn, etc.) Perform data preprocessing, feature engineering, and model evaluation Document model performance and provide insight-driven summaries Collaborate with a virtual team and complete weekly project goals What You’ll Gain Hands-on experience with supervised and unsupervised ML Exposure to Python libraries like NumPy, Pandas, Matplotlib, Scikit-learn Portfolio-ready projects and reports Certificate of Completion + Letter of Recommendation (after 6 months) Complete flexibility – work from anywhere at your own pace 🗓️ Application Deadline: August 15, 2025 How to Apply If you're ready to explore machine learning in a structured yet flexible environment, apply now and start your remote internship journey with Skillfied Mentor.

AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Data Scientist – Predictive Forecasting Location: Bangalore Reporting to: Senior Manager Analytics 1) Purpose of the role We are seeking a talented Data Scientist specializing in Statistical modelling, Predictive modelling, Time Series Forecasting to join our dynamic analytics team. The ideal candidate will have a strong background in statistical modeling and machine learning, with a focus on time series analysis. You will be responsible for developing predictive models for Business Cycles and Monthly Performance Monitoring, generating actionable insights from Forecasts, and driving business value through data-driven decision-making. 2) Key tasks & accountabilities Develop and Implement Models: Design and implement and Maintain time series forecasting models to predict key business metrics. Utilize advanced statistical techniques and machine learning algorithms to improve model accuracy. Data Analysis and Insight Generation: Analyze large and complex datasets to identify trends, patterns, and anomalies. Generate actionable insights that inform business strategies and operational improvements. Collaborate with Cross-Functional Teams: Work closely with deployment and development data scientists, and other stakeholders to understand business needs. Communicate Findings: Present analysis results and insights to stakeholders in a clear and concise manner. Prepare reports, visualizations, and dashboards to communicate data findings. Continuous Improvement: Monitor model performance and implement enhancements as necessary. Stay updated with the latest developments in data science, machine learning, and time series forecasting. 3) Qualifications, Experience, Skills Level of educational attainment required. Bachelor’s or master’s degree in data science, Statistics, Mathematics, Computer Science, or a related field. Previous work experience Minimum of 2 years of experience in data science or a related role. Proven experience with time series analysis and forecasting techniques is a plus Technical Skills required Python (Data Structures, Control Flow, OOPs, Modules and Packages, Exception Handling, VENV) MLOPs Fundamentals (Model Development, VCS, CI, CD, Serving, Monitoring & Logging, Registry, Data and Model Lineage) Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow is a plus). Familiarity with data visualization tools (e.g., Power BI, matplotlib, plotly, streamlet). Data Analysis Tools - Pandas, Excel (Pivot Tables, Charts, Macros, Conditional Formatting, Shortcuts) Insights presentation - PowerPoint Version Control System (Git) - Basic Commands, Branching and Merging, Pull Requests & Code Reviews Other Skills required Excellent problem-solving and analytical skills. Strong communication and presentation abilities. Ability to work collaboratively in a team environment. And above all of this, an undying love for beer! We dream big to create future with more cheers.

Job description: ESG Specialist team are set of skilled and domain knowledge individuals who build and maintain the content currently covered on existing databases and test future database, tools and systems. The Specialist team drives automation and simplification to bring in efficient processes and quality of updates within ESG Operations. The successful applicant will be working in an agile environment and will work on projects to deliver automation and process simplifications solutions. Roles, Responsibilities & Key Accountabilities: Develop and deploy machine learning and deep learning models to solve complex problems. Conduct statistical analysis to identify trends, patterns, and insights. Application of data science skills to develop intelligent systematic checks on textual and Boolean data to identify incorrect and missing data Manage data extraction, reporting, data analysis. Use SQL to query and manage large datasets. Implement web scraping techniques to gather relevant data from various sources. Work with large language models (LLMs) for natural language processing tasks. Required Skills: Proficiency in ML, deep learning, and statistical analysis techniques. Strong Python & SQL skills for data querying and manipulation. Proficiency in Microsoft Power Platform. Experience with web scraping tools and frameworks. Working knowledge of NLP and LLM concepts, familiarity with BERT, GPT, etc. Strong problem-solving and analytical skills. Reporting using Python visualization packages (e.g., Matplotlib, Seaborn) and Microsoft Power BI. Desired Skills: Knowledge of LSEG proprietary systems for automations including LEAD & DEMING. Understanding of ESG content and marketplace. Understanding of 6 sigma principles. Education: Data Science Certification or Software Engineer or study in computer science subject area or Any subject area of study along with expertise in programming languages like Python, VBA, SQL etc. People are at the heart of what we do and drive the success of our business. Our colleagues thrive personally and expertly through our shared values of Integrity, Partnership, Change and Excellence, which are at the core of our culture. We embrace diversity and actively seek to attract people with unique backgrounds and perspectives. We are always looking at ways to become more agile, so we meet the needs of our teams and customers. We believe that an inclusive collaborative workplace is pivotal to our success and supports the potential and growth of all colleagues at LSEG. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it's used for, and how it's obtained, your rights and how to contact us as a data subject . If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Designation: Prompt Engineer Location: Hyderabad Work Mode: Work From Office About US Foundation AI automatically ingests incoming documents, emails, and attachments from across your firm. It profiles matches, classifies, and saves each to your DMS, and then automates document-dependent workflows according to your rules. Read more about us at www.foundationai.com Job Summary As a Prompt Engineer within the Data Science function, you will be at the forefront of designing and optimizing prompt strategies to facilitate automation and enhance document processing efficiency. You will design, test, and deploy prompts that power AI-driven workflows, collaborating closely with data scientists, product teams, and software engineers to deliver high-impact solutions. If working in a fast-growing environment, tackling complex challenges, and making a significant impact excites you, then you’re the right fit for this role. Key Responsibilities Prompt Design and Optimization: Develop, refine, and optimize prompts for large language models (LLMs) to improve accuracy and efficiency in document processing and automation workflows. Develop and implement templatized prompt frameworks to ensure scalability and adaptability across various industries, domains, and use cases. Conduct extensive A/B testing of prompts to identify the most effective language constructs and structures. Apply data science methodologies to evaluate prompt performance, ensuring accuracy, relevance, and efficiency. Continuously refine prompts to adapt to changing data patterns and use cases. Collaboration and Cross-Functional Support Support Data Scientists in research initiatives and ML Engineers in identifying tools, building, and improving frameworks for the prompt lifecycle. Work closely with data scientists, NLP specialists, and software engineers to integrate optimized prompts into production workflows. Collaborate with product and engineering teams to understand user requirements and design language models accordingly. Provide prompt engineering expertise to customer success and delivery teams for customized solutions. Data-Driven Performance Analysis Set up metrics for evaluation and establish ground truth to define success criteria and identify areas for improvement. Analyze prompt performance using quantitative metrics, including accuracy, relevance, and execution time. Develop dashboards and reporting tools to track prompt efficacy and inform strategic decisions. Conduct post-deployment analyses to evaluate real-world performance and make data-driven improvements. Research and Innovation Prepare benchmark evaluation datasets to support data science algorithms and prompt performance testing. Stay up-to-date with advancements in NLP and prompt engineering methodologies, leveraging the latest research to improve prompt efficiency. Prototype and experiment with new prompt strategies, contributing to innovation in AI-driven document processing. Quality Assurance and Compliance Implement rigorous testing frameworks to ensure prompt reliability and performance in diverse scenarios. Maintain compliance with data governance standards and security protocols, ensuring that prompts meet organizational and regulatory requirements. Education Required Qualifications: Bachelor’s or Master’s degree in Data Science, Computer Science, Artificial Intelligence, Computational Linguistics, or a closely related field. Experience: 3+ years of experience in NLP, machine learning, or data science, with a strong focus on prompt engineering or LLM optimization. Hands-on experience with prompt generation, updates, optimization, feedback loop, and reporting for various LLMs (e.g., OpenAI, Gemini, etc.). Proven track record of deploying prompt-driven solutions in production environments. Experience with data privacy and compliance in AI applications, including familiarity with GDPR and other relevant data protection regulations. Technical Skills Familiarity with prompt lifecycle management tools such as Agenta, Langfuse, and LangChain for efficient monitoring, iteration, and optimization of prompt performance. Expertise with LLM prompt engineering techniques, including few-shot, zero-shot, and fine-tuning methodologies. Proficiency with Python and familiarity with prompt engineering tools, libraries, and frameworks commonly used for working with LLMs, such as OpenAI API, Hugging Face Transformers, LangChain, or similar technologies. Experience with data analysis using Pandas, NumPy, and visualization tools like Matplotlib or Seaborn. Soft Skills Problem-Solving: Demonstrated ability to develop creative solutions to NLP challenges. Communication: Strong written and verbal communication skills, with the ability to present technical concepts to non-technical stakeholders. Collaboration: Experience working in cross-functional teams with a focus on delivering user-centric solutions. Nice-to-Have Familiarity with industry-specific terminology and domain knowledge, particularly in legal, healthcare, insurance, and paralegal contexts, to enhance prompt accuracy and contextual relevance. Familiarity with data labeling tools and annotation workflows. Publications or contributions to open-source projects related to NLP. Knowledge of cloud-based AI platforms (AWS, GCP, Azure) is a plus. For any feedback or inquiries, please contact us at careers@foundationai.com Learn more about us at www.foundationai.com

Introduction: SymphonyAI is at the forefront of innovation, leveraging cutting-edge artificial intelligence and machine learning technologies to transform industries and drive business growth. As a global leader in AI-powered solutions, we empower organizations to harness the full potential of data-driven insights. SymphonyAI enterprise applications rapidly deliver transformative business value across retail, CPG, financial services, manufacturing, media, Enterprise IT (SymphonyAI Summit) and the public sector. SymphonyAI combines unrivalled AI technology, vertical expertise and industry-specific data and insights into applications that drive the highest value for customers. We are one of the largest and fastest growing AI portfolios. We are on a mission to build a “World Class Engineering Team” with a high-performance culture. Job Description: SymphonyAI Industrial (www.symphonyai.com/industrial) is an emerging leader of artificial intelligence-based monitoring, analysis and predictive solutions that optimize the health and operational performance of industrial assets and processes. Our state-of-the-art Generative AI and Predictive AI powered IRIS platform integrates with a wide variety of sensors, historical data libraries, and new and existing data streams and provides real-time predictive insights and prescriptive recommendations to a variety of industrial persona. As a Lead AI Services Engineer at SymphonyAI Industrial, you will play a pivotal role in pioneering the integration and deployment of state-of-the-art predictive asset insights, Large Language Models and Generative AI technologies to solve some of the most intricate challenges faced by the industrial sector. In this position, you will implement and oversee implementation of advanced AI-driven solutions on our cutting-edge AI/ML platform, with a focus on enhancing predictive maintenance, operational optimization, and digital manufacturing processes. You will collaborate closely with multidisciplinary teams to seamlessly integrate Predictive and Generative AI models that are capable of processing a wide range of industrial datasets—including structured and unstructured data such as text documents, reports, FMEAs, logs, images, and time series data—alongside conventional machine learning models. Your deep technical acumen, coupled with a strong problem-solving mindset, will be instrumental in navigating complex engineering challenges, ensuring the successful deployment and monitoring of innovative solutions that drive performance and efficiency for our clients. Responsibilities Collaborate with clients to understand their needs, challenges, and goals, to further propose AI solutions from the product mix that meet stakeholders organizational objectives. Lead the end-to-end data analysis, data contextualization, deployment of AI and machine learning models along with application and platform set up to ensure seamless integration with existing systems and platforms. Identify project risks associated with AI deployment, including data privacy, security, and model accuracy concerns and communicate effectively with internal and external teams to mitigate them effectively. Ensure that all AI solutions meet the highest standards of quality and reliability before being delivered to clients, via rigorous testing, validation, and performance evaluations of AI models. Lead AI service delivery projects, managing timelines, and manage stakeholder expectations with change management and also coordinate with internal and external cross-functional teams to ensure that AI projects are completed on time and within budget leading to customer success. Provide technical leadership and mentorship to junior engineers, guiding them in best practices and advanced techniques in AI model deployment. Provide ongoing support and hand holding to clients post deployment, addressing any issues or challenges that arise, along with ensuring a smooth handover and knowledge transfer to clients' internal teams for ongoing management of AI systems. Monitor the performance of deployed AI models, ensuring they operate efficiently and effectively over time and optimize AI models based on real-time data and feedback. Qualifications: Bachelors or Masters in a quantitative field or engineering. Overall 8+ years’ in the field of customer success and AI based project delivery. 3+ years’ experience in Data contextualization, Data analysis, AI / Machine Learning model deployment in an organization. Ability to understand industrial customer requirements and come up with solutions that drives customer delight and achieves organizational objectives. Expertise with Python-based data science tools: Scikit-learn, Numpy, Pandas, TensorFlow, Keras, Pytorch, and visualization tools: Matplotlib, Plotly, Seaborn. Extremely good in written and verbal communication. Should be able to lead engagements effectively. Ability and willingness to quickly learn and apply the latest technologies and innovate with speed. Ability to travel on the job as needed. About Us: SymphonyAI leads the way in innovation, harnessing cutting-edge AI and machine learning to transform industries worldwide. As a global powerhouse in AI solutions, we enable organizations to unlock the full potential of data-driven insights. With a presence in 20 countries, our enterprise applications deliver rapid, transformative value across retail, CPG, finance, manufacturing, media, IT, and public sectors. Combining unmatched AI technology, vertical expertise, and industry-specific insights, we create applications that drive maximum value for our customers. Join us in shaping the future as we build a "World Class Engineering Team" committed to high performance. With over 3000 talented leaders, data scientists, and professionals, we incubate and develop groundbreaking solutions within the SymphonyAI Group.

As a Data Analyst for our College Skilling Program in Tamil Nadu, you will split your time equally between training undergraduate students in arts and science colleges in data analytics and analyzing student-related data to create insightful dashboards. This role blends hands-on teaching with data analysis to equip students with practical skills and enhance program outcomes through data-driven insights. Key Responsibilities: Conduct 45 hours of hands-on “Advanced Data Analytics” training sessions. Teach tools like Excel, Power BI/Tableau, SQL, Python (pandas, matplotlib), and Google Sheets. Guide students on projects like Excel dashboards, SQL queries, Power BI/Tableau visualizations, and Python-based analysis. Provide feedback and assess students using course rubrics to foster analytical skills. Collect student performance and engagement data during training sessions. Analyze student data using Excel, SQL, Python, and Power BI/Tableau. Create dashboards to visualize student progress, skill trends, and program impact. Share data insights with the program team to improve training delivery. Collaborate with the program team to refine curriculum and align with industry needs. Requirements: 1+ years or freshers who passed out 2024 of experience in Data Analysis or Business Intelligence. Proficiency in Excel, SQL, Power BI/Tableau, Python (pandas, matplotlib), and Google Sheets. Prior teaching or mentoring experience preferred. Strong analytical skills for creating impactful dashboards. Excellent communication skills to explain complex concepts simply. Passion for teaching and empowering students with job-ready skills. Ability to balance training and data analysis tasks. Location: Tamil Nadu (on-site at arts and science colleges) Why Join Us? This role lets you combine teaching and data analysis to shape students’ careers and drive program success. You’ll train students in practical skills and use data to create dashboards that enhance learning outcomes. Job Type: Full-time Pay: ₹1,000.00 per day Benefits: Cell phone reimbursement Ability to commute/relocate: Gandhipuram, Coimbatore, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required) Language: Tamil (Required) Work Location: In person

Junior AI Programmers Location:Remote/Hybrid Job Type:Full-time Experience Level:** Entry-level (1- 3 years) About Us Interface Technologies is a forward-thinking, evolving tech company, advancing into an AI research lab, dedicated to advancing AI solutions. We specialize in many aspects of technology and want to enhance of command of machine learning, NLP, computer vision, or robotics]. Join our team to work on cutting-edge projects and grow your skills in a collaborative environment. Job Description We’re looking for a motivated *Junior AI Programmer** to assist in developing, training, and optimizing AI models. You’ll work alongside senior engineers and data scientists to implement algorithms, debug code, and contribute to innovative AI applications. Responsibilities - Assist in designing and implementing machine learning models. - Preprocess and analyze datasets for training and validation. - Optimize AI models for performance and scalability. - Collaborate with cross-functional teams to integrate AI solutions. - Stay updated with the latest advancements in AI/ML technologies. - Write clean, maintainable code and document your work. Requirements- Bachelor’s degree in Computer Science, AI, Data Science, or related field (or equivalent experience). - Familiarity with Python and AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). - Basic understanding of machine learning concepts (supervised/unsupervised learning, neural networks, etc.). Experience with data preprocessing and visualization tools (e.g., Pandas, NumPy, Matplotlib). - Strong problem-solving skills and willingness to learn. - [Optional: Knowledge of cloud platforms (AWS, GCP) or version control (Git).] Nice-to-Have- Personal projects or contributions to open-source AI/ML projects. - Experience with NLP, computer vision, or reinforcement learning. - Familiarity with deployment tools (Docker, Flask, FastAPI). Perks & Benefits- Competitive salary and equity options. - Flexible work arrangements. - Mentorship from senior AI engineers. - Opportunities for professional development (conferences, courses). —We offer visa sponsorship to CanadaHow to ApplySend your resume, GitHub profile (or portfolio), and a brief cover letter to lloyd@interface.ca Mention any relevant projects or coursework in AI/ML. Interface Technologies is an equal-opportunity employer. We celebrate diversity and encourage applicants from all backgrounds. Job Type: Full-time Pay: ₹200,000.00 - ₹400,000.00 per month Benefits: Paid time off

Job Title: Data Science Trainer Location: Coimbatore, Tamil Nadu Company: Livewire Hopes, Coimbatore About Us: Livewire Hopes is a leading IT training institute dedicated to empowering students and professionals with cutting-edge technology skills. We specialize in courses such as Data Science, Full Stack Development, Power BI, Embedded Systems, and more. We are looking for a passionate and knowledgeable Data Science Trainer to join our team and inspire the next generation of tech talent. Key Responsibilities: Deliver high-quality training sessions on Data Science, Python, Machine Learning, MySQL, Data Analytics, Power BI, and related tools . Develop and update course materials, assignments, and hands-on projects. Mentor students and guide them through real-time projects and case studies. Stay updated with industry trends, tools, and techniques in Data Science. Assess student performance and provide constructive feedback. Assist in designing new training modules based on market demand. Requirements: Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, or related field. Proven experience in Data Science tools and technologies (Python, Pandas, NumPy, Matplotlib, Machine Learning algorithms, SQL, Power BI, etc.). Strong communication and presentation skills. Passion for teaching and mentoring. Prior training or teaching experience preferred (freshers with strong skills may also apply). Benefits: Competitive salary and incentives. Opportunity to work on live projects. Professional development and continuous learning environment. Flexible and collaborative work culture. To Apply: Send your CV to [your email] or contact us at 7639332266 .

As a Data Analyst for our College Skilling Program in Tamil Nadu, you will split your time equally between training undergraduate students in arts and science colleges in data analytics and analyzing student-related data to create insightful dashboards. This role blends hands-on teaching with data analysis to equip students with practical skills and enhance program outcomes through data-driven insights. Key Responsibilities: Conduct 45 hours of hands-on “Advanced Data Analytics” training sessions. Teach tools like Excel, Power BI/Tableau, SQL, Python (pandas, matplotlib), and Google Sheets. Guide students on projects like Excel dashboards, SQL queries, Power BI/Tableau visualizations, and Python-based analysis. Provide feedback and assess students using course rubrics to foster analytical skills. Collect student performance and engagement data during training sessions. Analyze student data using Excel, SQL, Python, and Power BI/Tableau. Create dashboards to visualize student progress, skill trends, and program impact. Share data insights with the program team to improve training delivery. Collaborate with the program team to refine curriculum and align with industry needs. Requirements: 1+ years or freshers who passed out 2024 of experience in Data Analysis or Business Intelligence. Proficiency in Excel, SQL, Power BI/Tableau, Python (pandas, matplotlib), and Google Sheets. Prior teaching or mentoring experience preferred. Strong analytical skills for creating impactful dashboards. Excellent communication skills to explain complex concepts simply. Passion for teaching and empowering students with job-ready skills. Ability to balance training and data analysis tasks. Location: Tamil Nadu (on-site at arts and science colleges) Why Join Us? This role lets you combine teaching and data analysis to shape students’ careers and drive program success. You’ll train students in practical skills and use data to create dashboards that enhance learning outcomes. Job Type: Full-time Pay: ₹1,000.00 per day Benefits: Cell phone reimbursement Ability to commute/relocate: Gandhipuram, Coimbatore, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required) Language: Tamil (Required) Work Location: In person

As a Retail Specialized Data Scientist at Level 9 in the Data & AI division of Accenture, your primary responsibility will be to leverage your deep understanding of the retail industry dynamics to drive data-driven decisions within our organization. You will work with various teams across marketing, product management, supply chain, and customer insights to develop advanced analytics, machine learning, and statistical modeling techniques that support business strategies and innovations. Your role will involve gathering and cleaning data from diverse retail sources, such as sales transactions, customer interactions, inventory management, website traffic, and marketing campaigns. You should possess a strong ability to communicate complex data insights to non-technical stakeholders, ensuring data quality, accuracy, and consistency in handling large, complex datasets. Key skills needed for this role include a solid understanding of retail industry KPIs, proficiency in Python for data manipulation and machine learning, expertise in supervised and unsupervised learning algorithms, and the ability to optimize pricing strategies using advanced analytics. Additionally, familiarity with big data processing platforms like Apache Spark, Hadoop, cloud-based platforms such as AWS or Google Cloud, ETL processes, and data visualization tools like Tableau and Power BI would be beneficial. The ideal candidate should stay updated on the latest trends in data science and retail technology, collaborate effectively with cross-functional teams, and have a strong analytical, statistical, and retail-specific datasets and KPIs. If you are passionate about utilizing AI solutions to address critical retail business needs, applying machine learning algorithms for predictive modeling, and using advanced statistical methods for optimization and innovation, this position offers a dynamic opportunity to make a significant impact within the retail sector.,

As a Data Scientist at our company, you will be responsible for designing data-driven solutions to address business challenges. It is essential to understand the specifics of the automotive domain and consult with experts when necessary. You will work closely with vehicle IoT systems, particularly the Telematics Control Unit, and develop expertise in handling time-series data. Your role will involve performing data cleaning, preparation, and ETL processes to ensure the data quality is maintained. You will explore data to identify insights, trends, and patterns, collaborating with domain experts to test hypotheses. Additionally, selecting meaningful features for modeling and applying suitable ML/DL algorithms will be part of your daily tasks. Building training pipelines, optimizing models, and validating them are crucial steps in the process. Visualization and reporting findings using graphs and summaries will be essential in communicating results effectively. As a senior member of the team, you will also mentor junior data scientists and support their professional development. **Essential Requirements:** - Minimum of 4 years of industry experience in data science. - Proficiency in Python programming with experience in pandas, NumPy, matplotlib, and sklearn libraries. - Competence in statistical analysis, including descriptive, inferential statistics, and hypothesis testing. - Practical experience in mathematical modeling and various machine learning techniques such as Generalized Linear Models (GLM), Boosting Algorithms, Decision Trees, Neural Networks, Support Vector Machines (SVM), and Bayesian Methods. - Experience in econometric analysis. - Familiarity with deep learning models, including Recurrent Neural Networks (RNNs), Long Short-Term Memory networks (LSTM), and Gated Recurrent Units (GRUs). - Knowledge of unsupervised learning algorithms and image classification using computer vision. - Proven track record of successful model deployment. **Desirable Skills:** - Experience with accident simulation tools such as PC crash or OPENPass. - Familiarity with time-series and IoT data analytics. - Knowledge of LLMs. - Understanding of automotive systems, vehicle fundamentals, and the Controller Area Network (CAN) protocol.,

Description Note that this is an authentic “Data Analyst” role. Must Have skills/competencies 5 years hands-on experience with data analysis to extract inferences and trends from huge amounts of data using a variety of techniques for analyzing data to gain valuable insights that can enhance various aspects of business/operations.The data can be qualitative, quantitative and time series. including Exploratory data analysis Causal data analysis Statistical data analysis (descriptive and inferential) Regressions, correlation, experiments, hypothesis testing etc Some experience with data visualization tools like PowerBI or data visualization libraries (for example MatPlotLib, Seaborn etc.) 2 to 3 years strong hands on experience with writing complex SQL queries Ability to work with multiple stakeholders to understand the data, come-up with several options to analyse, slice & dice the data to bring out trends and action items for better business outcome. Good to have Hands-on experience with Python Understanding of no-SQL db Requirements Note that this is an authentic “Data Analyst” role. Must Have skills/competencies 5 years hands-on experience with data analysis to extract inferences and trends from huge amounts of data using a variety of techniques for analyzing data to gain valuable insights that can enhance various aspects of business/operations.The data can be qualitative, quantitative and time series. including Exploratory data analysis Causal data analysis Statistical data analysis (descriptive and inferential) Regressions, correlation, experiments, hypothesis testing etc Some experience with data visualization tools like PowerBI or data visualization libraries (for example MatPlotLib, Seaborn etc.) 2 to 3 years strong hands on experience with writing complex SQL queries Ability to work with multiple stakeholders to understand the data, come-up with several options to analyse, slice & dice the data to bring out trends and action items for better business outcome. Good to have Hands-on experience with Python Understanding of no-SQL db Job responsibilities Note that this is an authentic “Data Analyst” role. Must Have skills/competencies 5 years hands-on experience with data analysis to extract inferences and trends from huge amounts of data using a variety of techniques for analyzing data to gain valuable insights that can enhance various aspects of business/operations.The data can be qualitative, quantitative and time series. including Exploratory data analysis Causal data analysis Statistical data analysis (descriptive and inferential) Regressions, correlation, experiments, hypothesis testing etc Some experience with data visualization tools like PowerBI or data visualization libraries (for example MatPlotLib, Seaborn etc.) 2 to 3 years strong hands on experience with writing complex SQL queries Ability to work with multiple stakeholders to understand the data, come-up with several options to analyse, slice & dice the data to bring out trends and action items for better business outcome. Good to have Hands-on experience with Python Understanding of no-SQL db What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

Description Note that this is an authentic “Data Analyst” role. Must Have skills/competencies 5 years hands-on experience with data analysis to extract inferences and trends from huge amounts of data using a variety of techniques for analyzing data to gain valuable insights that can enhance various aspects of business/operations.The data can be qualitative, quantitative and time series. including Exploratory data analysis Causal data analysis Statistical data analysis (descriptive and inferential) Regressions, correlation, experiments, hypothesis testing etc Some experience with data visualization tools like PowerBI or data visualization libraries (for example MatPlotLib, Seaborn etc.) 2 to 3 years strong hands on experience with writing complex SQL queries Ability to work with multiple stakeholders to understand the data, come-up with several options to analyse, slice & dice the data to bring out trends and action items for better business outcome. Good to have Hands-on experience with Python Understanding of no-SQL db Requirements Note that this is an authentic “Data Analyst” role. Must Have skills/competencies 5 years hands-on experience with data analysis to extract inferences and trends from huge amounts of data using a variety of techniques for analyzing data to gain valuable insights that can enhance various aspects of business/operations.The data can be qualitative, quantitative and time series. including Exploratory data analysis Causal data analysis Statistical data analysis (descriptive and inferential) Regressions, correlation, experiments, hypothesis testing etc Some experience with data visualization tools like PowerBI or data visualization libraries (for example MatPlotLib, Seaborn etc.) 2 to 3 years strong hands on experience with writing complex SQL queries Ability to work with multiple stakeholders to understand the data, come-up with several options to analyse, slice & dice the data to bring out trends and action items for better business outcome. Good to have Hands-on experience with Python Understanding of no-SQL db Job responsibilities Note that this is an authentic “Data Analyst” role. Must Have skills/competencies 5 years hands-on experience with data analysis to extract inferences and trends from huge amounts of data using a variety of techniques for analyzing data to gain valuable insights that can enhance various aspects of business/operations.The data can be qualitative, quantitative and time series. including Exploratory data analysis Causal data analysis Statistical data analysis (descriptive and inferential) Regressions, correlation, experiments, hypothesis testing etc Some experience with data visualization tools like PowerBI or data visualization libraries (for example MatPlotLib, Seaborn etc.) 2 to 3 years strong hands on experience with writing complex SQL queries Ability to work with multiple stakeholders to understand the data, come-up with several options to analyse, slice & dice the data to bring out trends and action items for better business outcome. Good to have Hands-on experience with Python Understanding of no-SQL db What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

Description Note that this is an authentic “Data Analyst” role. Must Have skills/competencies 5 years hands-on experience with data analysis to extract inferences and trends from huge amounts of data using a variety of techniques for analyzing data to gain valuable insights that can enhance various aspects of business/operations.The data can be qualitative, quantitative and time series. including Exploratory data analysis Causal data analysis Statistical data analysis (descriptive and inferential) Regressions, correlation, experiments, hypothesis testing etc Some experience with data visualization tools like PowerBI or data visualization libraries (for example MatPlotLib, Seaborn etc.) 2 to 3 years strong hands on experience with writing complex SQL queries Ability to work with multiple stakeholders to understand the data, come-up with several options to analyse, slice & dice the data to bring out trends and action items for better business outcome. Good to have Hands-on experience with Python Understanding of no-SQL db Requirements Note that this is an authentic “Data Analyst” role. Must Have skills/competencies 5 years hands-on experience with data analysis to extract inferences and trends from huge amounts of data using a variety of techniques for analyzing data to gain valuable insights that can enhance various aspects of business/operations.The data can be qualitative, quantitative and time series. including Exploratory data analysis Causal data analysis Statistical data analysis (descriptive and inferential) Regressions, correlation, experiments, hypothesis testing etc Some experience with data visualization tools like PowerBI or data visualization libraries (for example MatPlotLib, Seaborn etc.) 2 to 3 years strong hands on experience with writing complex SQL queries Ability to work with multiple stakeholders to understand the data, come-up with several options to analyse, slice & dice the data to bring out trends and action items for better business outcome. Good to have Hands-on experience with Python Understanding of no-SQL db Job responsibilities Note that this is an authentic “Data Analyst” role. Must Have skills/competencies 5 years hands-on experience with data analysis to extract inferences and trends from huge amounts of data using a variety of techniques for analyzing data to gain valuable insights that can enhance various aspects of business/operations.The data can be qualitative, quantitative and time series. including Exploratory data analysis Causal data analysis Statistical data analysis (descriptive and inferential) Regressions, correlation, experiments, hypothesis testing etc Some experience with data visualization tools like PowerBI or data visualization libraries (for example MatPlotLib, Seaborn etc.) 2 to 3 years strong hands on experience with writing complex SQL queries Ability to work with multiple stakeholders to understand the data, come-up with several options to analyse, slice & dice the data to bring out trends and action items for better business outcome. Good to have Hands-on experience with Python Understanding of no-SQL db What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

Description Note that this is an authentic “Data Analyst” role. Must Have skills/competencies 5 years hands-on experience with data analysis to extract inferences and trends from huge amounts of data using a variety of techniques for analyzing data to gain valuable insights that can enhance various aspects of business/operations.The data can be qualitative, quantitative and time series. including Exploratory data analysis Causal data analysis Statistical data analysis (descriptive and inferential) Regressions, correlation, experiments, hypothesis testing etc Some experience with data visualization tools like PowerBI or data visualization libraries (for example MatPlotLib, Seaborn etc.) 2 to 3 years strong hands on experience with writing complex SQL queries Ability to work with multiple stakeholders to understand the data, come-up with several options to analyse, slice & dice the data to bring out trends and action items for better business outcome. Good to have Hands-on experience with Python Understanding of no-SQL db Requirements Note that this is an authentic “Data Analyst” role. Must Have skills/competencies 5 years hands-on experience with data analysis to extract inferences and trends from huge amounts of data using a variety of techniques for analyzing data to gain valuable insights that can enhance various aspects of business/operations.The data can be qualitative, quantitative and time series. including Exploratory data analysis Causal data analysis Statistical data analysis (descriptive and inferential) Regressions, correlation, experiments, hypothesis testing etc Some experience with data visualization tools like PowerBI or data visualization libraries (for example MatPlotLib, Seaborn etc.) 2 to 3 years strong hands on experience with writing complex SQL queries Ability to work with multiple stakeholders to understand the data, come-up with several options to analyse, slice & dice the data to bring out trends and action items for better business outcome. Good to have Hands-on experience with Python Understanding of no-SQL db Job responsibilities Note that this is an authentic “Data Analyst” role. Must Have skills/competencies 5 years hands-on experience with data analysis to extract inferences and trends from huge amounts of data using a variety of techniques for analyzing data to gain valuable insights that can enhance various aspects of business/operations.The data can be qualitative, quantitative and time series. including Exploratory data analysis Causal data analysis Statistical data analysis (descriptive and inferential) Regressions, correlation, experiments, hypothesis testing etc Some experience with data visualization tools like PowerBI or data visualization libraries (for example MatPlotLib, Seaborn etc.) 2 to 3 years strong hands on experience with writing complex SQL queries Ability to work with multiple stakeholders to understand the data, come-up with several options to analyse, slice & dice the data to bring out trends and action items for better business outcome. Good to have Hands-on experience with Python Understanding of no-SQL db What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

Description Note that this is an authentic “Data Analyst” role. Must Have skills/competencies 5 years hands-on experience with data analysis to extract inferences and trends from huge amounts of data using a variety of techniques for analyzing data to gain valuable insights that can enhance various aspects of business/operations.The data can be qualitative, quantitative and time series. including Exploratory data analysis Causal data analysis Statistical data analysis (descriptive and inferential) Regressions, correlation, experiments, hypothesis testing etc Some experience with data visualization tools like PowerBI or data visualization libraries (for example MatPlotLib, Seaborn etc.) 2 to 3 years strong hands on experience with writing complex SQL queries Ability to work with multiple stakeholders to understand the data, come-up with several options to analyse, slice & dice the data to bring out trends and action items for better business outcome. Good to have Hands-on experience with Python Understanding of no-SQL db Requirements Note that this is an authentic “Data Analyst” role. Must Have skills/competencies 5 years hands-on experience with data analysis to extract inferences and trends from huge amounts of data using a variety of techniques for analyzing data to gain valuable insights that can enhance various aspects of business/operations.The data can be qualitative, quantitative and time series. including Exploratory data analysis Causal data analysis Statistical data analysis (descriptive and inferential) Regressions, correlation, experiments, hypothesis testing etc Some experience with data visualization tools like PowerBI or data visualization libraries (for example MatPlotLib, Seaborn etc.) 2 to 3 years strong hands on experience with writing complex SQL queries Ability to work with multiple stakeholders to understand the data, come-up with several options to analyse, slice & dice the data to bring out trends and action items for better business outcome. Good to have Hands-on experience with Python Understanding of no-SQL db Job responsibilities Note that this is an authentic “Data Analyst” role. Must Have skills/competencies 5 years hands-on experience with data analysis to extract inferences and trends from huge amounts of data using a variety of techniques for analyzing data to gain valuable insights that can enhance various aspects of business/operations.The data can be qualitative, quantitative and time series. including Exploratory data analysis Causal data analysis Statistical data analysis (descriptive and inferential) Regressions, correlation, experiments, hypothesis testing etc Some experience with data visualization tools like PowerBI or data visualization libraries (for example MatPlotLib, Seaborn etc.) 2 to 3 years strong hands on experience with writing complex SQL queries Ability to work with multiple stakeholders to understand the data, come-up with several options to analyse, slice & dice the data to bring out trends and action items for better business outcome. Good to have Hands-on experience with Python Understanding of no-SQL db What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

Note: There is a Google Form link given at the end of this JD. Applications without completing the Google Form will not be considered. Are you passionate about data science and eager to gain hands-on experience? Datahut is looking for a Data Scientist Intern to join our team and work on real-world data projects. Position: Data Scientist Intern Location: Work from Home Duration: 6 months Timing: 9AM - 6PM, Mon-Fri About Us Datahut helps businesses get structured data feeds from any website through our cloud-based data as a service platform. Our fully-managed Web Scraping and Web crawling solutions help customers avoid mistakes in business decision making. Job Description As a Data Scientist Intern at Datahut, you will be at the intersection of data and marketing. Your primary responsibilities will involve scraping data from various sources, cleaning and organizing this data, and then visualizing it in a manner that is both insightful and actionable. You will work closely with our data science and marketing team to support ongoing projects and initiatives. Responsibilities Develop and implement web scrapers to gather information from specified sources using Python and libraries such as BeautifulSoup (BS4). Clean and preprocess raw data to ensure its quality and readiness for analysis. Analyze cleaned data to identify patterns, trends, and insights. Create compelling visualizations of the data using Python libraries such as Matplotlib, Seaborn, or similar tools. Collaborate with team members to support data analysis and project objectives. Document all processes and methodologies used in data scraping, cleaning, and visualization. Qualifications Currently pursuing or completed courses in Computer Science, Data Science, Statistics, or a related field. Proficient in Python, with hands-on experience using libraries like BeautifulSoup, Pandas, NumPy, and Matplotlib/Seaborn for data scraping, processing, and visualization. Familiarity with web technologies (HTML, CSS) and an understanding of the structure of web pages. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Excellent problem-solving skills and creativity in finding solutions to data-related issues. Ability to work independently as well as part of a team. Effective communication skills, with the ability to present data insights to non-technical team members. Benefits Stipend: Competitive stipend to support your work from home. Work from Home: Flexible work arrangements to help you balance work and personal commitments. Professional Development: Gain valuable experience in the field of data science, and enhance your technical skills. Supportive Environment: Join a supportive team that values diversity and is committed to helping you succeed. A certificate and letter of recommendation will be provided upon successful completion. How To Apply See the google form link below. Make sure you fill the form along with the application. Via the form, submit a cover letter explaining why you are a good fit for this position, and any relevant work samples or projects (e.g., GitHub repositories, data analysis projects) to ensure that your application highlights your experience with Python and data analysis tools. Include the words ” Data Science internship at Datahut” in the title of your cover letter. The applications without this won’t be considered. Google form link - https://forms.gle/xLdXrL61B7FqeKsH6 Note: A Gmail account is required to submit the form. Application Deadline: Wednesday, 20-08-2025, 4 PM

Overview Esri is the world leader in geographic information systems (GIS) and developer of ArcGIS, the leading mapping and analytics software used in 75 percent of Fortune 500 companies. At the Esri R&D Center-New Delhi, we are applying cutting-edge AI and deep learning techniques to revolutionize geospatial analysis and derive insight from imagery and location data. We are passionate about applying data science and artificial intelligence to solve some of the world’s biggest challenges. Our team develops tools, APIs, and AI models for geospatial analysts and data scientists, enabling them to leverage the latest research in spatial data science, AI and geospatial deep learning. As a Data Scientist, you will develop deep learning models using libraries such as PyTorch and create APIs and tools for training and deploying them on satellite imagery. If you are passionate about deep learning applied to remote sensing and GIS, developing AI and deep learning models, and love maps or geospatial datasets/imagery, this is the place to be! Responsibilities Develop tools, APIs and pretrained models for geospatial AI Integrate ArcGIS with popular deep learning libraries such as PyTorch Fine-tune large language models (LLMs) for geospatial AI tasks and develop AI agents and assistants Develop APIs and model architectures for natural language processing and deep learning on unstructured text Author and maintain geospatial data science samples using ArcGIS and machine learning/deep learning libraries Curate and pre/post-process data for deep learning models and transform it into geospatial information Perform comparative studies of various deep learning model architectures Requirements 2 to 6 years of experience with Python, in data science and deep learning Self-learner with coursework in and extensive knowledge of machine learning and deep learning Experience with Python machine learning and deep learning libraries such as PyTorch, Scikit-learn, NumPy, Pandas Expertise in one or more of these areas: Experience with transformer-based models Large language models and experience building applications using them Experience of working on NLP based tasks such as recommender system, summarization, and more Experience in data visualization in Jupyter Notebooks using matplotlib and other libraries Experience with hyperparameter-tuning and training models to a high level of accuracy Bachelor's in computer science, engineering, or related disciplines from IITs and other top-tier engineering colleges Existing work authorization for India Recommended Qualifications Familiarity with ArcGIS suite of products and concepts of GIS Familiarity and experience using langchain/AutoGPT/BabyAGI About Esri At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here. If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply! Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address. Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance. Requisition ID: 2025-2398

Job Description We are seeking a Data Scientist Engineer 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 & Responsibilities 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. Qualifications 2+ years of professional experience 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 skill Job Type: Full-time Pay: ₹600,000.00 - ₹1,800,000.00 per year Benefits: Flexible schedule Leave encashment Provident Fund Work Location: In person

About Klook We are Asia’s leading platform for experiences and travel services, and we believe that we can help bring the world closer together through experiences . Founded in 2014 by 3 avid travelers, Ethan Lin, Eric Gnock Fah and Bernie Xiong, Klook inspires and enables more moments of joy for travelers with over half a million curated quality experiences ranging from the biggest attractions to paragliding adventures, iconic museums to rich cultural tours, and other convenient local travel services across 2,700 destinations around the world. Do you share our belief in the wonders of travel? Our international community of over 1,800 employees, based in 30+ locations, certainly do! Global citizens ourselves, Klookers are not only curating memorable experiences for others but also co-creating our world of joy within Klook. We work hard and play hard, upkeeping our high-performing culture as we are guided daily by our 6 core values: Customer First Push Boundaries Critical Thinking Build for Scale Less is More Win as One We never settle, and together, we believe in achieving greater heights and realizing endless possibilities ahead of us in the dynamic new era of travel. Care to be a part of this revolution? Join us! As a Data Scientist within the Pricing Strategy team, you will play a pivotal role in driving data-driven decision-making and optimizing pricing strategies. You will leverage your expertise in data science and analytics to develop and implement dynamic pricing models, predictive and prescriptive analysis, ultimately contributing to revenue growth and market competitiveness. What you'll do: Dynamic Pricing Model Development: Develop and implement advanced dynamic pricing models to optimize product pricing across various channels and markets. Predictive Analytics: Utilize predictive modeling techniques to forecast demand, market trends, and customer behavior, enabling proactive pricing adjustments. Prescriptive Analysis: Employ prescriptive analytics to identify optimal pricing strategies based on specific business objectives and constraints. Data Exploration and Analysis: Conduct in-depth data exploration and analysis to uncover valuable insights and inform pricing decisions. Model Evaluation and Refinement: Continuously evaluate and refine pricing models to ensure their accuracy and effectiveness. Collaboration: Collaborate with cross-functional teams (e.g., marketing, sales, finance) to align pricing strategies with overall business goals. Stay Updated: Stay abreast of the latest advancements in data science and pricing optimization techniques. What you'll need: Master's degree or PhD in Data Science, Statistics, Computer Science, Economics, or a related field. A minimum of 3-4 years of relevant experience in the field of Data Science. Strong programming skills in Python or R, including proficiency in data manipulation, analysis, and visualization libraries (e.g., Pandas, NumPy, Matplotlib, Seaborn). Experience with machine learning algorithms and techniques (e.g., regression, classification, clustering, time series analysis). Knowledge of statistical modeling and hypothesis testing. Experience with data warehousing and cloud computing platforms (e.g., AWS, GCP, Azure) is a plus. Excellent problem-solving and analytical skills. Ability to communicate complex technical concepts to both technical and non-technical audiences. Passion for data-driven decision-making and a continuous learner mindset. Klook is proud to be an equal opportunity employer. We hire talented and passionate people of all backgrounds. We believe that a joyful workplace is an inclusive workplace, one where employees from all walks of life have an equal opportunity to thrive. We’re dedicated to creating a welcoming and supportive culture where everyone belongs. Klook does not accept unsolicited resumes from any temporary staffing agency, placement service or professional recruiter (“Agency”). Klook will not be responsible for, and will not pay, any fees, commissions or other payments related to such unsolicited resumes. An Agency must obtain advance written approval from Klook’s Talent Acquisition Team to submit resumes, and then only in conjunction with a valid fully-executed agreement for service and in response to a specific job opening for which the Agency has been requested to submit resumes for. Klook will not be responsible for, and will not pay, any fees, commissions or other payments to any Agency that does not have such agreement in place or does not comply with the foregoing.

We are looking for 𝗙𝗿𝗲𝘀𝗵𝗲𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁𝘀 • Only 𝗰𝗮𝗻𝗱𝗶𝗱𝗮𝘁𝗲𝘀 𝗳𝗿𝗼𝗺 𝗞𝗼𝗹𝗸𝗮𝘁𝗮 𝗼𝗿 𝗻𝗲𝗮𝗿𝗯𝘆 will be eligible. • Immediate joiners only. 𝗥𝗼𝗹𝗲 𝗗𝗲𝘀𝗰𝗿𝗶𝗽𝘁𝗶𝗼𝗻 DigitalSherpa is seeking a highly motivated and detail-oriented Data Analyst (Fresher) to join our on-site team in Kolkata. The selected candidate will work closely with our data team to assist in IT asset management, data analysis, and dashboard creation, contributing to important business decisions. 𝗞𝗲𝘆 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 • Support IT Asset Management inventory tracking and data maintenance. • Work with Python (Pandas, NumPy, Matplotlib) for basic data processing. • Assist in creating dashboards and reports using Power BI and Excel. • Perform data cleaning, validation, and analysis. • Write SQL queries for data extraction and reporting. • Collaborate with cross-functional teams to meet business requirements. 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗱 𝗤𝘂𝗮𝗹𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 • Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field (2024 or 2025 pass-outs). • Basic understanding of Python and SQL. • Familiarity with data visualization tools such as Power BI or Excel. • Strong analytical skills and attention to detail. • Good communication and interpersonal skills. • Must be based in Kolkata or nearby. 📧 Email your resume: megha.paul@digitalsherpa.ai

Company Description THINKBIZ TECHNOLOGY PRIVATE LIMITED is headquartered in Ahmedabad, Gujarat, and operates from a modern office located at Sachet – 4, above Prime dine hotel, near Prernatirth Derasar Road. The company is known for its innovative solutions in technology and software development, focusing on creating impactful digital experiences for its clients. Roles and Responsibilities: Assist the Python/AI team in building scalable solution architectures using source technologies. Drive technical discussions with clients in collaboration with Project Managers. Create effort estimation matrices for solutions and deliverables to support delivery planning. Implement AI solutions including: Data pre-processing Feature engineering Model deployment Integration with downstream tasks Edge/error handling Collaborate with cross-functional teams including ML engineers, software engineers, and product managers to align technical execution with business needs. Mentor and coach junior engineers in Python, AI, and ML domains. Deliver internal knowledge-sharing sessions through technical presentations. Develop and deploy new AI features following high-quality coding standards. Must-Have Qualifications: B.Tech/B.E. in Computer Science, IT, Data Science, Machine Learning, or a related field. Strong proficiency in Python programming. Excellent communication skills (verbal and written), analytical thinking, and problem-solving abilities. Proficiency in debugging and exception handling. Proven experience in developing and managing AI systems in production environments. Hands-on expertise in modern ML & NLP frameworks, such as: scikit-learn PyTorch TensorFlow Hugging Face SpaCy Facebook AI XLM/mBERT Experience with AWS services, including: EC2 S3 Lambda SageMaker Familiarity with modern collaborative development practices: Git version control Code reviews DevOps practices CI/CD pipelines Proficient in essential development tools and libraries: Git, Docker, GitHub, Postman NumPy, SciPy, Pandas Matplotlib, Seaborn, Plotly Experience with both relational (PostgreSQL, MySQL) and NoSQL databases (MongoDB). Comfortable working in Agile development environments. Good-to-Have Qualifications: Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field. Experience with Python frameworks (Django, Flask, FastAPI) and API integrations. Certifications in AI/ML/DL/MLOps from AWS. Hands-on experience with OpenAI API. Proficiency in the Japanese language is a strong plus.

About Us: Founded in 2008, Red & White is Gujarat's leading NSDC & ISO-certified institute, focused on industry-relevant education and global employability. Role Overview: Hiring faculty to teach AI/ML & Data Science, guide projects, mentor students, and stay updated with tech trends. Key Responsibilities: Conduct lectures on AI, Machine Learning, and Data Science. Create and update course content and projects. Guide students on practical work and research. Mentor students in academics and career planning. Stay updated with latest trends in AI/ML and Data Science. Evaluate student performance and provide feedback. Contribute to curriculum development. Skills & Tools: Core Skills: ML, Deep Learning, NLP, Computer Vision, Business Intelligence, AI Model Development, Business Analysis. Programming: Python, SQL (Must), Pandas, NumPy, Excel. ML & AI Tools: Scikit-learn (Must), XGBoost, LightGBM, TensorFlow, PyTorch (Must), Keras, Hugging Face. Data Visualization: Tableau, Power BI (Must), Matplotlib, Seaborn, Plotly. NLP & CV: Transformers, BERT, GPT, OpenCV, YOLO, Detectron2. Advanced AI: Transfer Learning, Generative AI, Business Case Studies. Education & Experience Requirements: Bachelor's/Masters/Ph.D. in Computer Science, AI, Data Science, or a related field. Minimum 1+ years of teaching or industry experience in AI/ML and Data Science. Hands-on experience with Python, SQL, TensorFlow, PyTorch, and other AI/ML tools. Practical exposure to real-world AI applications, model deployment, and business analytics. For further information, please feel free to contact 7862813693 us via email at career@rnwmultimedia.edu.in

As a Data Scientist at our company, you will be an integral part of our growing team, utilizing your skills to harness data for solving complex problems, driving decision-making processes, and creating value. Your primary responsibilities will involve collaborating with cross-functional teams to analyze data, develop predictive models, and contribute to data-driven strategies that align with our business objectives. You will be responsible for various key tasks, including: - Data Analysis & Modeling: Extracting insights from large datasets and building predictive models to address business challenges. - Machine Learning Development: Designing, implementing, and evaluating machine learning models using frameworks like TensorFlow, PyTorch, or scikit-learn. - Data Wrangling: Cleaning, transforming, and preparing data from multiple sources for analysis and modeling. - AutoML Implementation: Utilizing AutoML tools to enhance model selection and hyperparameter tuning for improved performance and efficiency. - Cloud Computing: Leveraging cloud platforms such as AWS, Google Cloud, or Azure for data storage, processing, and deploying machine learning models. - Collaboration: Working closely with data engineers, product managers, and stakeholders to define project requirements and translate business needs into data solutions. - AI Impact Assessment: Evaluating and implementing AI technologies to improve data science processes and outcomes, staying updated on industry trends. - Documentation & Reporting: Documenting methodologies, model performance, and insights for stakeholders to ensure transparency and reproducibility in analytics processes. In addition to these responsibilities, the ideal candidate should possess the following mandatory technical and functional skills: - Proficiency in programming languages like Python or R and SQL. - Experience with machine learning and deep learning libraries such as TensorFlow, Keras, and Scikit-learn. - Strong knowledge of data wrangling tools and techniques like Pandas and NumPy. - Familiarity with cloud computing services, preferably Azure, for data storage and processing. - Understanding of AutoML tools and frameworks for automating model selection and hyperparameter tuning. - Experience with data visualization tools like Tableau, Matplotlib, and Seaborn for effective presentation of insights. - Knowledge of big data technologies like Hadoop and Spark is considered a plus. Preferred Technical & Functional Skills include: - Strong oral and written communication skills for effectively conveying technical and non-technical concepts to peers and stakeholders. - Ability to work independently with minimal supervision and escalate issues when necessary. - Capability to mentor junior developers and take ownership of project deliverables, not just individual tasks. - Understanding of business objectives and functions to support data needs effectively. This role is suitable for individuals with a Bachelor's degree in Computer Science or a related field, or equivalent work experience, along with a minimum of 9+ years of relevant experience.,