1441 Matplotlib Jobs - Page 39

Job Description Bachelor’s degree in computer science or data analytics 2+ years of professional software development experience Comfortable in a collaborative, agile development environment Proven experience in using data to drive insights and influence business decisions. Strong expertise in Python, particularly for solving data analytics-related challenges. Hands-on experience with data visualization tools and techniques (e.g„ Matplotlib, Tableau, PowerBI, or similar). Solid understanding of data pipelines, analysis workflows, and process automation. Strong problem-solving skills with an ability to work in ambiguous, fast-paced environments Responsibilities Design, develop, and maintain data analytics tooling to monitor, analyze, and improve system performance and stability. Use data to extract meaningful insights and translate them into actionable business decisions. Automate processes and workflows to enhance performance and customer experience. Collaborate with cross-functional teams (engineering, product, operations) to identify and address critical issues using data. Create intuitive and impactful data visualizations that simplify complex technical problems. Continuously evolve analytics frameworks to support real-time monitoring and predictive capabilities. Qualifications Career Level - IC3 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Job Description Bachelor’s degree in computer science or data analytics 2+ years of professional software development experience Comfortable in a collaborative, agile development environment Proven experience in using data to drive insights and influence business decisions. Strong expertise in Python, particularly for solving data analytics-related challenges. Hands-on experience with data visualization tools and techniques (e.g„ Matplotlib, Tableau, PowerBI, or similar). Solid understanding of data pipelines, analysis workflows, and process automation. Strong problem-solving skills with an ability to work in ambiguous, fast-paced environments Responsibilities Design, develop, and maintain data analytics tooling to monitor, analyze, and improve system performance and stability. Use data to extract meaningful insights and translate them into actionable business decisions. Automate processes and workflows to enhance performance and customer experience. Collaborate with cross-functional teams (engineering, product, operations) to identify and address critical issues using data. Create intuitive and impactful data visualizations that simplify complex technical problems. Continuously evolve analytics frameworks to support real-time monitoring and predictive capabilities. Qualifications Career Level - IC3 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Job Description Bachelor’s degree in computer science or data analytics 2+ years of professional software development experience Comfortable in a collaborative, agile development environment Proven experience in using data to drive insights and influence business decisions. Strong expertise in Python, particularly for solving data analytics-related challenges. Hands-on experience with data visualization tools and techniques (e.g„ Matplotlib, Tableau, PowerBI, or similar). Solid understanding of data pipelines, analysis workflows, and process automation. Strong problem-solving skills with an ability to work in ambiguous, fast-paced environments Responsibilities Design, develop, and maintain data analytics tooling to monitor, analyze, and improve system performance and stability. Use data to extract meaningful insights and translate them into actionable business decisions. Automate processes and workflows to enhance performance and customer experience. Collaborate with cross-functional teams (engineering, product, operations) to identify and address critical issues using data. Create intuitive and impactful data visualizations that simplify complex technical problems. Continuously evolve analytics frameworks to support real-time monitoring and predictive capabilities. Qualifications Career Level - IC3 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Job Description Bachelor’s degree in computer science or data analytics 2+ years of professional software development experience Comfortable in a collaborative, agile development environment Proven experience in using data to drive insights and influence business decisions. Strong expertise in Python, particularly for solving data analytics-related challenges. Hands-on experience with data visualization tools and techniques (e.g„ Matplotlib, Tableau, PowerBI, or similar). Solid understanding of data pipelines, analysis workflows, and process automation. Strong problem-solving skills with an ability to work in ambiguous, fast-paced environments Responsibilities Design, develop, and maintain data analytics tooling to monitor, analyze, and improve system performance and stability. Use data to extract meaningful insights and translate them into actionable business decisions. Automate processes and workflows to enhance performance and customer experience. Collaborate with cross-functional teams (engineering, product, operations) to identify and address critical issues using data. Create intuitive and impactful data visualizations that simplify complex technical problems. Continuously evolve analytics frameworks to support real-time monitoring and predictive capabilities. Qualifications Career Level - IC3 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Company Description Ditansource aims to deliver a comprehensive solution through an innovative freelancing platform, ensuring exceptional quality at an optimal price. Our mission is to build a user-friendly platform that fosters global connections and empowers young talent. We enable professionals to showcase and refine their skills in their chosen fields while offering clients access to a diverse pool of talented individuals from around the world. Role Description Ditansource is offering a remote, paid internship or freelance opportunity for students, recent graduates, or self-taught professionals interested in Data Science. Selected candidates will work on real-world data-driven projects, developing models, generating insights, and improving decision-making across platforms such as www.ditansource.com and associated client applications. This is a hands-on opportunity to apply your analytical skills and grow in a collaborative, fast-paced environment. Qualifications • Proficiency in Python or R for data analysis • Familiarity with data science libraries (e.g., Pandas, NumPy, Matplotlib, Scikit-learn, TensorFlow/PyTorch optional) • Ability to clean, manipulate, and analyze structured and unstructured data • Understanding of basic statistical concepts and machine learning algorithms • Experience with SQL and working with databases • Ability to communicate insights through visualizations (using tools like Power BI, Tableau, or Python libraries) • Introductory knowledge of data pipelines, APIs, or web scraping is a plus • Portfolio of previous data science or analytics work (personal, academic, or professional) • Strong problem-solving, logical thinking, and communication skills • Comfortable using collaboration tools like Jupyter, GitHub, Notion, Slack, or Trello Key Responsibilities • Collect, clean, and analyze datasets from internal or external sources • Build predictive models and machine learning algorithms to solve business problems • Visualize key trends and metrics to support data-driven decision-making • Conduct exploratory data analysis (EDA) and summarize findings • Work closely with developers and product teams to translate insights into features • Prepare detailed reports and dashboards for internal or client use • Continuously test, validate, and improve models based on feedback and new data • Maintain data documentation and collaborate in a version-controlled environment Application Process • Submit Your Application (via LinkedIn Easy Apply) • Paid Technical Challenge (complete a short data analysis or modeling task) • Interview Rounds (Portfolio Review + Technical Interview + HR Interview) Terms • Paid remote internship or freelance work • Work on the live platform: www.ditansource.com • Formal onboarding via Ditanbiz India Private Limited (our affiliated company) Show more Show less

Data Analytics Internship – Skillytixs 📍 Location: Remote ⏳ Duration: 1 Month 💸 Compensation: Unpaid 🎓 Eligibility: Open to 1st – 4th Year Students and Recent Graduates About Us: Skillytixs is an emerging upskilling platform committed to bridging the gap between academic learning and industry expectations. We provide hands-on internship opportunities in Data Analytics , helping students and freshers gain real-world experience through practical projects, guided tasks, and personalized mentoring. About the Internship: We’re looking for passionate and curious learners who want to dive into the world of Data Analytics . As a Data Analyst Intern , you’ll work with real datasets, analyze trends, and build your project portfolio to showcase your skills to future employers. Your Responsibilities: Analyze and clean real-world datasets using Python (pandas, numpy) Perform Exploratory Data Analysis (EDA) to uncover hidden insights Create visualizations using Matplotlib , Seaborn , Power BI , or Tableau Build dashboards and performance reports for business use cases Document and communicate findings in a professional format What You’ll Learn: End-to-end data analytics process : from raw data to actionable insights How to present data-driven decisions effectively Gain real project experience to build a job-ready portfolio Exposure to industry-relevant tools and techniques Eligibility Criteria: Students (1st to 4th year) and recent graduates from any stream Basic knowledge of Python and Excel Eagerness to learn and solve real-world problems Good communication skills and a proactive mindset Ability to work independently and meet deadlines Perks & Benefits: Certificate of Internship Completion Letter of Recommendation (Performance-based) Top Performer Badge (Top 10 interns) LinkedIn Profile Optimization Support Opportunity to be featured on Skillytixs’ social media Tools & Technologies You'll Work With: Python (pandas, numpy, matplotlib, seaborn) Power BI / Tableau MySQL / PostgreSQL / SQL Server Basics of Machine Learning (optional) 💡 Ready to upskill and kickstart your analytics journey? Apply now and join our internship community of future data professionals. Show more Show less

Data Science and AI Developer **Job Description:** We are seeking a highly skilled and motivated Data Science and AI Developer to join our dynamic team. As a Data Science and AI Developer, you will be responsible for leveraging cutting-edge technologies to develop innovative solutions that drive business insights and enhance decision-making processes. **Key Responsibilities:** 1. Develop and deploy machine learning models for predictive analytics, classification, clustering, and anomaly detection. 2. Design and implement algorithms for data mining, pattern recognition, and natural language processing. 3. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. 4. Utilize advanced statistical techniques to analyze complex datasets and extract actionable insights. 5. Implement scalable data pipelines for data ingestion, preprocessing, feature engineering, and model training. 6. Stay updated with the latest advancements in data science, machine learning, and artificial intelligence research. 7. Optimize model performance and scalability through experimentation and iteration. 8. Communicate findings and results to stakeholders through reports, presentations, and visualizations. 9. Ensure compliance with data privacy regulations and best practices in data handling and security. 10. Mentor junior team members and provide technical guidance and support. **Requirements:** 1. Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. 2. Proven experience in developing and deploying machine learning models in production environments. 3. Proficiency in programming languages such as Python, R, or Scala, with strong software engineering skills. 4. Hands-on experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, or Spark MLlib. 5. Solid understanding of data structures, algorithms, and computer science fundamentals. 6. Excellent problem-solving skills and the ability to think creatively to overcome challenges. 7. Strong communication and interpersonal skills, with the ability to work effectively in a collaborative team environment. 8. Certification in Data Science, Machine Learning, or Artificial Intelligence (e.g., Coursera, edX, Udacity, etc.). 9. Experience with cloud platforms such as AWS, Azure, or Google Cloud is a plus. 10. Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) is an advantage. Data Manipulation and Analysis : NumPy, Pandas Data Visualization : Matplotlib, Seaborn, Power BI Machine Learning Libraries : Scikit-learn, TensorFlow, Keras Statistical Analysis : SciPy Web Scrapping : Scrapy IDE : PyCharm, Google Colab HTML/CSS/JavaScript/React JS Proficiency in these core web development technologies is a must. Python Django Expertise: In-depth knowledge of e-commerce functionalities or deep Python Django knowledge. Theming: Proven experience in designing and implementing custom themes for Python websites. Responsive Design: Strong understanding of responsive design principles and the ability to create visually appealing and user-friendly interfaces for various devices. Problem Solving: Excellent problem-solving skills with the ability to troubleshoot and resolve issues independently. Collaboration: Ability to work closely with cross-functional teams, including marketing and design, to bring creative visions to life. interns must know about how to connect front end with datascience Also must Know to connect datascience to frontend **Benefits:** - Competitive salary package - Flexible working hours - Opportunities for career growth and professional development - Dynamic and innovative work environment Job Type: Full-time Pay: ₹8,000.00 - ₹12,000.00 per month Schedule: Day shift Ability to commute/relocate: Thiruvananthapuram, Kerala: Reliably commute or planning to relocate before starting work (Preferred) Work Location: In person

Location : Ahmedabad Experience : 4-6 years Title : Data Scientist Job Description Primary Responsibilities : Analyze large and complex datasets to identify trends, patterns, and insights. Develop and implement machine learning models for prediction, classification, and clustering tasks using Python libraries like scikit-learn, TensorFlow, or PyTorch. Perform statistical analysis and hypothesis testing to validate findings and draw meaningful conclusions. Design and implement data visualization dashboards and reports using Python libraries like Matplotlib, Seaborn, or Plotly to communicate insights effectively. Collaborate with cross-functional teams to understand business requirements and translate them into data science solutions. Build and deploy scalable data pipelines using Python and related tools. Stay up-to-date with the latest advancements in data science, machine learning, and Python libraries. Communicate complex data insights and findings to both technical and non-technical audiences. What You'll Bring Proven experience as a Data Scientist or similar role. Strong programming skills in Python, with experience in relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn). Solid understanding of statistical concepts, machine learning algorithms, and data modeling techniques. Experience with data visualization using Python libraries (e.g., Matplotlib, Seaborn, Plotly). Ability to work with large datasets and perform data cleaning, preprocessing, and feature engineering. Strong problem-solving and analytical skills. Excellent communication and presentation abilities. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data science services. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch). Knowledge of database technologies (SQL and NoSQL). Experience with deploying machine learning models into production. (ref:hirist.tech) Show more Show less

Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Meet the Team We are a dynamic and innovative team of Data Engineers, Data Architects, and Data Scientists based in Bangalore, India. Our mission is to harness the power of data to provide actionable insights that empower executives to make informed, data-driven decisions. By analyzing and interpreting complex datasets, we enable the organization to understand the health of the business and identify opportunities for growth and improvement. Your Impact We are seeking a highly experienced and skilled Senior Data Scientist to join our dynamic team. The ideal candidate will possess deep expertise in machine learning models, artificial intelligence (AI), generative AI, and data visualization. Proficiency in Tableau and other visualization tools is essential. This role requires hands-on experience with databases such as Snowflake and Teradata, as well as advanced knowledge in various data science and AI techniques. The successful candidate will play a pivotal role in driving data-driven decision-making and innovation within our organization. Key Responsibilities Design, develop, and implement advanced machine learning models to solve complex business problems. Apply AI techniques and generative AI models to enhance data analysis and predictive capabilities. Utilize Tableau and other visualization tools to create insightful and actionable dashboards for stakeholders. Manage and optimize large datasets using Snowflake and Teradata databases. Collaborate with cross-functional teams to understand business needs and translate them into analytical solutions. Stay updated with the latest advancements in data science, machine learning, and AI technologies. Mentor and guide junior data scientists, fostering a culture of continuous learning and development. Communicate complex analytical concepts and results to non-technical stakeholders effectively. Key Technologies & Skills: Machine Learning ModelsSupervised learning, unsupervised learning, reinforcement learning, deep learning, neural networks, decision trees, random forests, support vector machines (SVM), clustering algorithms, etc. AI TechniquesNatural language processing (NLP), computer vision, generative adversarial networks (GANs), transfer learning, etc. Visualization ToolsTableau, Power BI, Matplotlib, Seaborn, Plotly, etc. DatabasesSnowflake, Teradata, SQL, NoSQL databases. Programming LanguagesPython (essential), R, SQL. Python LibrariesTensorFlow, PyTorch, scikit-learn, pandas, NumPy, Keras, SciPy, etc. Data ProcessingETL processes, data warehousing, data lakes. Cloud PlatformsAWS, Azure, Google Cloud Platform. Minimum Qualifications Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. Minimum of [X] years of experience as a Data Scientist or in a similar role. Proven track record in developing and deploying machine learning models and AI solutions. Strong expertise in data visualization tools, particularly Tableau. Extensive experience with Snowflake and Teradata databases. Excellent problem-solving skills and the ability to work independently and collaboratively. Exceptional communication skills with the ability to convey complex information clearly. Preferred Qualifications (Provide up to five (5) bullet points these can include soft skills) Excellent communication and collaboration skills to work effectively in cross-functional teams. Ability to translate business requirements into technical solutions. Strong problem-solving skills and the ability to work with complex datasets. Experience in statistical analysis and machine learning techniques. Understanding of business domains such as sales, financials, marketing, and telemetry.

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 15th June 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

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities,collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow.Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your role As a Senior Data Scientist, you are expected to develop and implement Artificial Intelligence based solutions across various disciplines for the Intelligent Industry vertical of Capgemini Invent. You are expected to work as an individual contributor or along with a team to help design and develop ML/NLP models as per the requirement. You will work closely with the Product Owner, Systems Architect and other key stakeholders right from conceptualization till the implementation of the project. You should take ownership while understanding the client requirement, the data to be used, security & privacy needs and the infrastructure to be used for the development and implementation. The candidate will be responsible for executing data science projects independently to deliver business outcomes and is expected to demonstrate domain expertise, develop, and execute program plans and proactively solicit feedback from stakeholders to identify improvement actions. This role requires a strong technical background, excellent problem-solving skills, and the ability to work collaboratively with stakeholders from different functional and business teams. The role also requires the candidate to collaborate on ML asset creation and eager to learn and impart trainings to fellow data science professionals. We expect thought leadership from the candidate, especially on proposing to build a ML/NLP asset based on expected industry requirements. Experience in building Industry specific (e.g. Manufacturing, R&D, Supply Chain, Life Sciences etc), production ready AI Models using microservices and web-services is a plus. Programming Languages Python NumPy, SciPy, Pandas, MatPlotLib, Seaborne Databases RDBMS (MySQL, Oracle etc.), NoSQL Stores (HBase, Cassandra etc.) ML/DL Frameworks SciKitLearn, TensorFlow (Keras), PyTorch, Big data ML Frameworks - Spark (Spark-ML, Graph-X), H2O Cloud Azure/AWS/GCP Your Profile Predictive and Prescriptive modelling using Statistical and Machine Learning algorithms including but not limited to Time Series, Regression, Trees, Ensembles, Neural-Nets (Deep & Shallow CNN, LSTM, Transformers etc.). Experience with open-source OCR engines like Tesseract, Speech recognition, Computer Vision, face recognition, emotion detection etc. is a plus. Unsupervised learning Market Basket Analysis, Collaborative Filtering, Dimensionality Reduction, good understanding of common matrix decomposition approaches like SVD. Various Clustering approaches Hierarchical, Centroid-based, Density-based, Distribution-based, Graph-based clustering like Spectral. NLP Information Extraction, Similarity Matching, Sentiment Analysis, Text Clustering, Semantic Analysis, Document Summarization, Context Mapping/Understanding, Intent Classification, Word Embeddings, Vector Space Models, experience with libraries like NLTK, Spacy, Stanford Core-NLP is a plus. Usage of Transformers for NLP and experience with LLMs like (ChatGPT, Llama) and usage of RAGs (vector stores like LangChain & LangGraps), building Agentic AI applications. Model Deployment ML pipeline formation, data security and scrutiny check and ML-Ops for productionizing a built model on-premises and on cloud. Required Qualifications Masters degree in a quantitative field such as Mathematics, Statistics, Machine Learning, Computer Science or Engineering or a bachelors degree with relevant experience. Good experience in programming with languages such as Python/Java/Scala, SQL and experience with data visualization tools like Tableau or Power BI. Preferred Experience Experienced in Agile way of working, manage team effort and track through JIRA Experience in Proposal, RFP, RFQ and pitch creations and delivery to the big forum. Experience in POC, MVP, PoV and assets creations with innovative use cases Experience working in a consulting environment is highly desirable. Presupposition High Impact client communication The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI.

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients 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 Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred

An AI Data Scientist at IBM is not just a job title - it’s a mindset. You’ll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus (e.g. Amazon Code Whisperer, Github Copilot etc.) * Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindsetDemonstrate a growth mindset to understand clients' business processes and challenges. Experience in python and pyspark will be added advantage Preferred technical and professional experience ExperienceProven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms. Strong track record in scientific publications or open-source communities Experience in full AI project lifecycle, from research and prototyping to deployment in production environments

Job Title - S&C Global Network - AI - CMT AI ML Consultant Management Level:9- Consultant Location:Open Must-have skills: Gen AI ML Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU Accenture has committed to invest USD 3Billion into GenAI in the next 3 years. We will continually invest in your learning and growth. You'll work with Accentures highly skilled and experienced practitioners, and Accenture will support you in growing your own career path and interests. Youll be part of a diverse, vibrant, global Accenture Data and AI community, continually pushing the boundaries of business capabilities. What you would do in this role ML Maturity Assessment: Conduct comprehensive assessments of the organization's ML maturity, identifying strengths, weaknesses, and areas for improvement. Provide strategic recommendations to enhance the overall ML capability and align it with business objectives. ML Ops Roadmap & Processes: Develop ML Ops roadmaps and establish robust processes for the end-to-end machine learning lifecycle, including data preparation, model training, deployment, and monitoring. Implement best practices in ML Ops to ensure efficiency, scalability, and reliability of ML systems. Implementation of Gen AI Solutions: Lead the design and implementation of state-of-the-art Generative AI solutions, leveraging deep learning frameworks such as TensorFlow and PyTorch. Drive innovation in Gen AI, staying abreast of the latest advancements and incorporating cutting-edge technologies into solutions. Incubating and Designing: Proactively identify opportunities for ML and / or Gen AI applications within the organization. Work closely with cross-functional teams to incubate and design bespoke ML solutions tailored to business requirements. Technical Leadership: Provide technical leadership and mentorship to data scientists, engineers, and other team members. Collaborate with stakeholders to ensure alignment between technical solutions and business objectives. Collaboration and Communication: Collaborate with business stakeholders to understand their needs and translate them into ML and Gen AI requirements. Effectively communicate complex technical concepts to non-technical audiences. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Proven expertise in conducting ML maturity assessments and developing ML Ops roadmaps. Hands-on experience in operationalizing the Machine learning system on a cloud and / or an On-Prem platform. Experience in implementing Generative AI solutions, including incubation, design, and deployment will be a big plus. Proficiency in deep learning frameworks such as TensorFlow and PyTorch. Good knowledge of ML Ops best practices and processes. Excellent problem-solving skills and ability to design scalable and reliable ML architectures. Strong leadership and communication skills, with a track record of leading successful ML initiatives. Experience in Telecom or Hi Tech or Software and platform industry desirable Tools & Techniques TensorFlow, PyTorch, Scikit-learn, Keras NumPy, Pandas Matplotlib, Seaborn TensorFlow Serving, Docker and Kubernetes Good software engineering practices, including code modularization, documentation, and testing. Experience with open API , Integration architecture , microservices Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 4+ years Educational Qualification: Btech/ BE

Job Title - S&C Global Network - AI - CMT AI ML Consultant Management Level:9- Consultant Location:Open Must-have skills: Gen AI ML Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU Accenture has committed to invest USD 3Billion into GenAI in the next 3 years. We will continually invest in your learning and growth. You'll work with Accentures highly skilled and experienced practitioners, and Accenture will support you in growing your own career path and interests. Youll be part of a diverse, vibrant, global Accenture Data and AI community, continually pushing the boundaries of business capabilities. What you would do in this role ML Maturity Assessment: Conduct comprehensive assessments of the organization's ML maturity, identifying strengths, weaknesses, and areas for improvement. Provide strategic recommendations to enhance the overall ML capability and align it with business objectives. ML Ops Roadmap & Processes: Develop ML Ops roadmaps and establish robust processes for the end-to-end machine learning lifecycle, including data preparation, model training, deployment, and monitoring. Implement best practices in ML Ops to ensure efficiency, scalability, and reliability of ML systems. Implementation of Gen AI Solutions: Lead the design and implementation of state-of-the-art Generative AI solutions, leveraging deep learning frameworks such as TensorFlow and PyTorch. Drive innovation in Gen AI, staying abreast of the latest advancements and incorporating cutting-edge technologies into solutions. Incubating and Designing: Proactively identify opportunities for ML and / or Gen AI applications within the organization. Work closely with cross-functional teams to incubate and design bespoke ML solutions tailored to business requirements. Technical Leadership: Provide technical leadership and mentorship to data scientists, engineers, and other team members. Collaborate with stakeholders to ensure alignment between technical solutions and business objectives. Collaboration and Communication: Collaborate with business stakeholders to understand their needs and translate them into ML and Gen AI requirements. Effectively communicate complex technical concepts to non-technical audiences. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Proven expertise in conducting ML maturity assessments and developing ML Ops roadmaps. Hands-on experience in operationalizing the Machine learning system on a cloud and / or an On-Prem platform. Experience in implementing Generative AI solutions, including incubation, design, and deployment will be a big plus. Proficiency in deep learning frameworks such as TensorFlow and PyTorch. Good knowledge of ML Ops best practices and processes. Excellent problem-solving skills and ability to design scalable and reliable ML architectures. Strong leadership and communication skills, with a track record of leading successful ML initiatives. Experience in Telecom or Hi Tech or Software and platform industry desirable Tools & Techniques TensorFlow, PyTorch, Scikit-learn, Keras NumPy, Pandas Matplotlib, Seaborn TensorFlow Serving, Docker and Kubernetes Good software engineering practices, including code modularization, documentation, and testing. Experience with open API , Integration architecture , microservices Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 4+ years Educational Qualification: Btech/ BE

Write effective, scalable code Develop back-end components to improve responsiveness and overall performance Integrate user-facing elements into applications Test and debug programs Improve functionality of existing systems Required Candidate profile Expertise in at least one popular Python framework (like Django, Flask or Pyramid) Familiarity with front-end technologies (like JavaScript and HTML5) Team spirit Good problem-solving skills Perks and benefits Free meals and snacks. Bonus. Vision insurance.

Project Role : Software Development Lead Project Role Description : Develop and configure software systems either end-to-end or for a specific stage of product lifecycle. Apply knowledge of technologies, applications, methodologies, processes and tools to support a client, project or entity. Must have skills : Automotive ECU Software Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As Python Developer, you will be responsible for developing and configuring software systems, applying knowledge of technologies, methodologies, and tools to support projects or clients. Roles & Responsibilities:Design and develop Python scripts to process and analyze CAN bus logs generated from instrumented vehicle tests. Utilize libraries like pandas, NumPy, and SciPy to manipulate, clean, and transform automotive datasets. Implement data visualization techniques using libraries like Matplotlib, Seaborn, etc. to create informative dashboards for engineers and analysts. Collaborate with engineers to understand data requirements, define analysis goals, and interpret results. Professional & Technical Skills: Proficiency in Python for building web applications, REST APIs, and automation tasks. Developed Python scripts to extract, clean, and transform CAN bus data from automotive test logs. Developed interactive dashboards using Python libraries like Dash etc. to visualize and analyze automotive test data. Understanding of AWS cloud platform and how to design algorithms that work efficiently in cloud environments.Experience creating dashboards in Tableau. Additional Information:The candidate should have a minimum of 5 years of experience in Python for building web applications and automation tasks.This position is based at our Hyderabad office.A 15 years full time education is required (Bachelor of Engineering in Electronics/Computer Science, or any related stream) Qualification 15 years full time education

Write effective, scalable code Develop back-end components to improve responsiveness and overall performance Integrate user-facing elements into applications Test and debug programs Improve functionality of existing systems Required Candidate profile Expertise in at least one popular Python framework (like Django, Flask or Pyramid) Familiarity with front-end technologies (like JavaScript and HTML5) Team spirit Good problem-solving skills Perks and benefits Free meals and snacks. Bonus. Vision insurance.

Newton School of Technology is on a mission to transform technology education and bridge the employability gap. As India’s first impact university, we are committed to revolutionizing learning, empowering students, and shaping the future of the tech industry. Backed by renowned professionals and industry leaders, we aim to solve the employability challenge and create a lasting impact on society. We are currently looking for a Data Engineer + Subject Matter Expert – Data Mining to join our Computer Science Department. This is a full-time academic role focused on data mining, analytics, and teaching/mentoring students in core data science and engineering topics. Key Responsibilities Develop and deliver comprehensive and engaging lectures for the undergraduate "Data Mining", “BigData” and “Data Analytics” courses, covering the full syllabus from foundational concepts to advanced techniques. Instruct students on the complete data lifecycle, including data preprocessing, cleaning, transformation, and feature engineering. Teach the theory, implementation, and evaluation of a wide range of algorithms for Classification, Association rules mining, Clustering and Anomaly Detections. Design and facilitate practical lab sessions and assignments that provide students with hands-on experience using modern data tools and software. Develop and grade assessments, including assignments, projects, and examinations, that effectively measure the Course Learning Objectives (CLOs). Mentor and guide students on projects, encouraging them to work with real-world or benchmark datasets (e.g., from Kaggle). Stay current with the latest advancements, research, and industry trends in data engineering and machine learning to ensure the curriculum remains relevant and cutting-edge. Contribute to the academic and research environment of the department and the university. Required Qualifications A Ph.D. (or a Master's degree with significant, relevant industry experience) in Computer Science, Data Science, Artificial Intelligence, or a closely related field. Demonstrable expertise in the core concepts of data engineering and machine learning as outlined in the syllabus. Strong practical proficiency in Python and its data science ecosystem, specifically Scikit-learn, Pandas, NumPy, and visualization libraries (e.g., Matplotlib, Seaborn). Proven experience in teaching, preferably at the undergraduate level, with an ability to make complex topics accessible and engaging. Excellent communication and interpersonal skills. Preferred Qualifications A strong record of academic publications in reputable data mining, machine learning, or AI conferences/journals. Prior industry experience as a Data Scientist, Big Data Engineer, Machine Learning Engineer, or in a similar role. Experience with big data technologies (e.g., Spark, Hadoop) and/or deep learning frameworks (e.g., TensorFlow, PyTorch). Experience in mentoring student teams for data science competitions or hackathons. Perks & Benefits Competitive salary packages aligned with industry standards. Access to state-of-the-art labs and classroom facilities. To know more about us, feel free to explore our website: Newton School of Technology We look forward to the possibility of having you join our academic team and help shape the future of tech education! Show more Show less

📍 Remote | Open to students & freshers | Certificate + Hands-on Project Experience About Evoastra Ventures: At Evoastra, we are redefining how data powers decision-making. As a fast-growing startup in the AI, ML, and Predictive Analytics space, we’re offering a chance to work on real-world data problems and live projects that directly impact businesses. If you're passionate about making sense of messy data and want to build a career in data science, this internship is your launchpad. 🧾 Internship Overview Role: Data Science Intern Duration: 1 Month (Remote) Start Date: Rolling admissions (New batches every 2 weeks) Location: Remote (With optional in-office training in Hyderabad) Stipend: Unpaid (Top performers may be considered for paid extensions or job offers) Certificate: Yes (On successful completion) Project Involvement: Yes (You’ll work on live or simulated industry projects) 🧑‍💻 Responsibilities You will work under the mentorship of senior data scientists and be expected to: Data Exploration & Cleaning: Understand how to clean raw datasets and perform EDA (Exploratory Data Analysis). Identify missing data, outliers, and trends. Data Visualization: Build visualizations using tools like Matplotlib, Seaborn, Power BI or Tableau. Model Building (Basic): Apply regression, classification or clustering algorithms on sample data. Understand the importance of training/testing split, accuracy metrics, and overfitting. Report Generation: Summarize findings in simple language with charts and recommendations. Team Collaboration: Attend weekly reviews, submit weekly progress reports, and work in teams via Slack/Discord/Notion. Capstone Project (Last 2 Weeks): End-to-end implementation of a project with mentor feedback and final presentation. 🧩 What You’ll Learn Real industry workflows for data preprocessing, model building, and deployment basics. Business use-cases such as sales forecasting, customer segmentation, anomaly detection. Hands-on exposure to tools like: Python, Pandas, Scikit-learn, Seaborn Google Colab / Jupyter Notebooks Power BI / Tableau (Optional) Git & GitHub basics ✅ Eligibility Criteria Currently pursuing/completed: B.Tech/B.Sc/BCA/MCA/M.Sc/MBA/Data Science/Analytics or related fields. Strong interest in data science or machine learning. Basic knowledge of Python or any programming language is preferred. Willingness to learn quickly and work on live projects. 📌 Why Join Evoastra? Learn directly from data scientists and analysts working on live consulting and analytics projects. Become part of a data-driven startup ecosystem. Strong letter of recommendation and performance-based referrals. Project certificate with GitHub-linked contributions and LinkedIn endorsements. 📬 How to Apply Send your CV and a short message about your interest to: 📧 hr@evoastra.com or apply via our form here: Subject Line: Application for 2-Month Data Science Internship Show more Show less

Introduction A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio Your Role And Responsibilities As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In Your Role, You May Be Responsible For Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients 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 Preferred Education Master's Degree Required Technical And Professional Expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred Technical And Professional Experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred Experience in python and pyspark will be added advantage Show more Show less

ESG Specialist team provides subject matter expertise, skills and specific knowledge in order to build and to maintain the content currently covered on existing databases or using that knowledge to test future databases , tools and systems. The Specialist team is responsible for driving automation and simplification to achieve efficiency and quality within ESG Operations. The successful applicant will be comfortable working in an agile environment and will be able to lead the delivery of automations and process simplifications in ESG Content Operations. Role , 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. Utilize 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 Degree in Software Engineering or Degree in computer science subject area or Any Degree 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. Show more Show less

It's about Being What's next. What's in it for you? A Data Scientist for AI Products (Global) will be responsible for working in the Artificial Intelligence team, Linde's AI global corporate division engaged with real business challenges and opportunities in multiple countries. Focus of this role is to support the AI team with extending existing and building new AI products for a vast amount of uses cases across Linde’s business and value chain. You'll collaborate across different business and corporate functions in international team composed of Project Managers, Data Scientists, Data and Software Engineers in the AI team and others in the Linde's Global AI team. As a Data Scientist AI, you will support Linde’s AI team with extending existing and building new AI products for a vast amount of uses cases across Linde’s business and value chain" At Linde, the sky is not the limit. If you’re looking to build a career where your work reaches beyond your job description and betters the people with whom you work, the communities we serve, and the world in which we all live, at Linde, your opportunities are limitless. Be Linde. Be Limitless. Team Making an impact. What will you do? You will work directly with a variety of different data sources, types and structures to derive actionable insights Develop, customize and manage AI software products based on Machine and Deep Learning backends will be your tasks Your role includes strong support on replication of existing products and pipelines to other systems and geographies In addition to that you will support in architectural design and defining data requirements for new developments It will be your responsibility to interact with business functions in identifying opportunities with potential business impact and to support development and deployment of models into production Winning in your role. Do you have what it takes? You have a Bachelor or master’s degree in data science, Computational Statistics/Mathematics, Computer Science, Operations Research or related field You have a strong understanding of and practical experience with Multivariate Statistics, Machine Learning and Probability concepts Further, you gained experience in articulating business questions and using quantitative techniques to arrive at a solution using available data You demonstrate hands-on experience with preprocessing, feature engineering, feature selection and data cleansing on real world datasets Preferably you have work experience in an engineering or technology role You bring a strong background of Python and handling large data sets using SQL in a business environment (pandas, numpy, matplotlib, seaborn, sklearn, keras, tensorflow, pytorch, statsmodels etc.) to the role In addition you have a sound knowledge of data architectures and concepts and practical experience in the visualization of large datasets, e.g. with Tableau or PowerBI Result driven mindset and excellent communication skills with high social competence gives you the ability to structure a project from idea to experimentation to prototype to implementation Very good English language skills are required As a plus you have hands-on experience with DevOps and MS Azure, experience in Azure ML, Kedro or Airflow, experience in MLflow or similar Why you will love working for us! Linde is a leading global industrial gases and engineering company, operating in more than 100 countries worldwide. We live our mission of making our world more productive every day by providing high-quality solutions, technologies and services which are making our customers more successful and helping to sustain and protect our planet. On the 1st of April 2020, Linde India Limited and Praxair India Private Limited successfully formed a joint venture, LSAS Services Private Limited. This company will provide Operations and Management (O&M) services to both existing organizations, which will continue to operate separately. LSAS carries forward the commitment towards sustainable development, championed by both legacy organizations. It also takes ahead the tradition of the development of processes and technologies that have revolutionized the industrial gases industry, serving a variety of end markets including chemicals & refining, food & beverage, electronics, healthcare, manufacturing, and primary metals. Whatever you seek to accomplish, and wherever you want those accomplishments to take you, a career at Linde provides limitless ways to achieve your potential, while making a positive impact in the world. Be Linde. Be Limitless. Have we inspired you? Let's talk about it! We are looking forward to receiving your complete application (motivation letter, CV, certificates) via our online job market. Any designations used of course apply to persons of all genders. The form of speech used here is for simplicity only. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, protected veteran status, pregnancy, sexual orientation, gender identity or expression, or any other reason prohibited by applicable law. Praxair India Private Limited acts responsibly towards its shareholders, business partners, employees, society and the environment in every one of its business areas, regions and locations across the globe. The company is committed to technologies and products that unite the goals of customer value and sustainable development. Show more Show less

Job Title: Python Developer Location: Hyderabad / Pune Job Type: Contractual – Full Time Start Date: June 17, 2025 Duration: 3 months Experience Required: 5–8 years Salary Range: ₹65,000 – ₹75,000 per month Mandatory Skills: Python (5–8 years) Microservices architecture Flask and FastAPI PostgreSQL and SQLAlchemy Role Overview: We’re seeking an experienced Python Developer to join a high-impact project focused on scalable microservices and robust API development. If you’re passionate about backend systems, performance optimization, and writing clean, testable code—this role is for you. Key Responsibilities: Develop, deploy, and maintain APIs using Flask and FastAPI Work with microservices architecture and integrate databases (PostgreSQL, MongoDB) Write efficient and scalable code with multithreading/multiprocessing capabilities Build API automation scripts and reusable backend modules Use tools like Pandas, NumPy, and OpenCV for data manipulation and visualization Create RESTful services and consume third-party APIs Work within Agile methodologies and CI/CD pipelines Debug, test, and optimize applications using Python testing frameworks Implement performance tuning and automation for backend processes Collaborate with cross-functional teams on high-performance solutions Preferred Exposure: Data visualization (matplotlib, reportLab) Experience in digital tools for online traffic monitoring Strong scripting and backend automation background Note: Candidates must be ready to start by June 17, 2025. Apply now if you’re ready to bring your Python expertise to a challenging and rewarding project. Job Types: Full-time, Permanent Pay: ₹65,000.00 - ₹75,000.00 per month Benefits: Health insurance Internet reimbursement Paid time off Provident Fund Location Type: In-person Schedule: Day shift Monday to Friday Work Location: In person Speak with the employer +91 8595325853

Job Description The Global Data Insights and Analytics (GDI&A) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization.The candidate should possess the ability to translate a business problem into an analytical problem, identify the relevant data sets needed for addressing the analytical problem, recommend, implement, and validate the best suited analytical algorithm(s), and generate/deliver insights to stakeholders. Candidates are expected to regularly refer to research papers and be at the cutting-edge with respect to algorithms, tools, and techniques. The role is that of an individual contributor; however, the candidate is expected to work in project teams of 2 to 3 people and interact with Business partners on regular basis. Responsibilities Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making by FCSD business team Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness Qualifications Master's degree in computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. Proficient in querying and analyzing large datasets using BigQuery on GCP. Strong Python skills for data wrangling and automation. 2+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim. 2+ years of experience with both supervised and unsupervised machine learning techniques. 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or QlikSense. 1+ years' experience in SQL programming language and relational databases. Show more Show less