1441 Matplotlib Jobs - Page 27

Area(s) of responsibility About Us Birlasoft, a global leader at the forefront of Cloud, AI, and Digital technologies, seamlessly blends domain expertise with enterprise solutions. The company’s consultative and design-thinking approach empowers societies worldwide, enhancing the efficiency and productivity of businesses. As part of the multibillion-dollar diversified CKA Birla Group, Birlasoft with its 12,000+ professionals, is committed to continuing the Group’s 170-year heritage of building sustainable communities. Location: Any BSL Location Job Description Bachelor/master’s degree in computer science, Artificial Intelligence, Machine Learning, or a related field with 15+ years of experience 2+ years of experience in developing and implementing Generative AI models, with a strong understanding of techniques such as GPT, T5 and BERT Experience with LLMs OpenAI GPT and others Experience in latest GenAI application development frameworks Project management and governance experience preferred. Candidates with Technical and management skills given stronger preference. Life sciences experience preferred. Experience with handling customers at SLT and VP level. Proficiency in Python and have 8+ years of experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras Experience in developing Fast API and documentations Experience working with SQL, NoSQL, Elastic, Files etc. Strong knowledge of data structures, algorithms, and software engineering principles Familiarity with cloud-based platforms and services, such as AWS (must), GCP, or Azure 8+ years of experience with advanced natural language processing ( NLP ) techniques and tools, such as SpaCy, NLTK, or Hugging Face Familiarity with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly Significant experience architecting cutting-edge MLOps systems in enterprise environments Knowledge of software development methodologies, such as Agile or Scrum Excellent problem-solving skills , with the ability to think critically and creatively to develop innovative AI solutions. Strong communication skills , with the ability to effectively convey complex technical concepts to a diverse audience Proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Able to execute thought leadership. Responsibilities Design, develop, and implement Generative AI models and algorithms, using techniques such as GPT, T5, BERT Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals Conduct research to stay up-to-date with the latest advancements in Generative AI , machine learning, and deep learning techniques, and identify opportunities to integrate them into customer products and services Optimize Generative AI models for improved performance, scalability, and efficiency Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation Contribute to the establishment of best practices and standards for Generative AI development within the organization

Company Description Webskitters Technology Solutions Pvt. Ltd. is a globally renowned IT company that delivers top-notch Web and Mobile App Design, Development, Digital Marketing, Artificial Intelligence, and IoT services. The company operates from offices in the USA, UK, and India. Webskitters has received several prestigious awards and recognitions for its excellence and innovation in the industry. Job Description: Python Trainer (3–10 Years Experience) Position Title: Python Trainer Experience: 3 to 10 Years Location: kolkata sector 5 salt lake Employment Type: Full-time About the Role: We are seeking an experienced and passionate Python Trainer to join our team and deliver high-quality, engaging training sessions to students, working professionals, and corporate clients. The ideal candidate will possess strong technical expertise in Python and related technologies, coupled with excellent communication and teaching skills. Key Responsibilities: Deliver comprehensive training on Core Python and Advanced Python concepts. Design and develop course content, training materials, exercises, assignments, and real-world projects. Conduct online and classroom training sessions for individuals and corporate clients. Stay up-to-date with the latest developments in Python and related frameworks/libraries. Evaluate students’ progress and provide constructive feedback and mentoring. Customize training programs as per client and organizational requirements. Assist in curriculum enhancement based on industry trends and learner feedback. Support learners in project work, coding exercises, and interview preparation. Create assessments, quizzes, and certification tests to evaluate trainees. Technical Skills Required: Strong hands-on experience in Core and Advanced Python programming . Good knowledge of OOPs concepts , file handling, error handling, multithreading, and regular expressions. Experience with Python libraries like NumPy, Pandas, Matplotlib, Seaborn (optional but desirable). Exposure to web frameworks like Django or Flask (preferred). Familiarity with APIs, database integration (MySQL/PostgreSQL/MongoDB) . Knowledge of data structures and algorithms . Ability to build and explain real-world projects and applications. (Optional) Knowledge of Data Science / Machine Learning / Automation / DevOps with Python . Soft Skills: Excellent communication and presentation skills. Strong interpersonal and mentoring abilities. Passion for teaching and helping others learn. Analytical mindset with the ability to simplify complex concepts. Good organizational and time-management skills. Qualifications: Bachelor’s/Master’s degree in Computer Science , IT , or a related field. Relevant certifications in Python or associated technologies (preferred but not mandatory).

🚀 We’re Hiring Freelance Trainers | Data Science + Generative AI | Digital Marketing with AI Are you a passionate trainer ready to empower the next generation of professionals with cutting-edge skills? We're looking for enthusiastic freelance trainers to deliver industry-aligned training programs in emerging domains! 📌 Open Positions: Freelance Trainer – Data Science with AI & Python with Generative AI Freelance Trainer – Digital Marketing with AI Integration 🧑‍🏫 About the Role: Type : Freelance / Part-Time Mode : Online (Hybrid/Offline optional for select batches) Duration : Short-term programs (6–12 weeks) Location : Indira Nagar, Lucknow, Uttar Pradesh 🎯 Key Responsibilities: Conduct engaging and practical online/offline sessions (weekday/weekend batches) Design or customize course content, projects, and assignments Mentor learners and provide academic guidance Integrate real-world case studies and use-cases Support assessments and learner feedback ✅ Trainer Requirements: 1. Data Science with AI & Python with Generative AI Strong command over Python, NumPy, Pandas, Matplotlib, Scikit-learn Hands-on experience with ML models, AI techniques Exposure to Generative AI tools (ChatGPT, DALL·E, LLaMA, etc.) Knowledge of prompt engineering & GenAI applications Prior training/mentoring experience preferred 2. Digital Marketing with AI Integration Expertise in SEO, SEM, SMM, Content & Email Marketing Familiarity with Google Ads, Meta Ads, Canva, HubSpot, etc. Experience with AI tools for content creation, automation, analytics Ability to deliver performance-based marketing strategies Prior teaching/training experience is a bonus 💰 Compensation: Best in Industry – Competitive freelance pay with performance incentives. 📩 Apply Now: Interested candidates can email their CV and portfolio to admin@ccainstitute.ac

YES (Yield Engineering Systems, Inc.) is a leading manufacturer of reliable, high-tech, cost-effective capital equipment that transforms materials and surfaces at the nanoscale. From startups to the Fortune 50, our customers rely on YES to help them unleash products that change lives – from cellphones and IoT devices, to AI and virtual reality, to diagnostic tests for COVID. As a preferred provider of wet and dry process technology, we look forward to talking with smart, energetic, team-oriented people who can grow with us. We provide competitive salary and benefits, including long-term incentives, and some of the best co-workers you’ll find anywhere. If this appeals to you, please read on! Job Title: Data Applications Engineer Location: Coimbatore. We are seeking a highly skilled and motivated Data Applications Engineer with a minimum of a master’s degree in computer science, Engineering, or a closely related field. The successful candidate will be responsible for building, maintaining, and administrating data-driven applications to support the development of a digital twin for a semiconductor manufacturing company. This role demands advanced data science and computer vision expertise, alongside experience in C# programming, and involves designing systems that integrate engineering data, simulation results, image processing, and machine learning models to build predictive and autonomous capabilities. Responsibilities will include, but not be limited to: Design, develop, and deploy applications supporting the digital twin of semiconductor manufacturing processes. Develop automated data analysis tools and visualizations for engineers and operations teams. Integrate and analyse data from multiple sources (sensor data, imaging systems, databases, physics-based simulations, etc.) to derive insights and drive system performance. Apply computer vision and image processing techniques to enhance the digital twin's capability to mirror real-world environments and equipment. Work closely with engineering and business teams to define data requirements, perform data transformations, and ensure high-quality outputs. Build data pipelines and infrastructures for reliable, scalable, and secure data flow. Develop and deploy machine learning models for prediction, classification, anomaly detection, and optimization tasks. Understand CFD & FEA simulation outputs and incorporate into Digital Twin system. Write well-documented, efficient code in Python and C# for data processing and algorithmic implementations. Monitor, troubleshoot, and resolve issues related to data integration, system performance, and application stability. Create and maintain detailed documentation of data flows, algorithms, application logic, and technical implementations. Ensure data security, compliance, and governance standards are met. Present analysis and simulation results to stakeholders in a clear, structured format. Continuous research and apply best practices in digital twin development, machine learning, and computer vision. Required Qualifications: Minimum of a master’s degree in computer science, Data Science, Engineering, or a related discipline. Proven experience in designing and deploying machine learning models and computer vision solutions. Strong proficiency in Python (NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch, OpenCV, Matplotlib). Hands-on experience with C# programming for application development and integration. Solid understanding of statistics, data structures, and algorithms. Ability to perform exploratory data analysis, data cleaning, and feature engineering. Knowledge of techniques such as classification, regression, anomaly detection, and optimisation. Experience with SQL for data handling and querying. Familiarity with version control tools such as GIT or Bitbucket. Strong analytical skills and the ability to work with structured and unstructured data from complex systems. Preferred Qualifications: Professional experience with digital twin technologies, particularly in semiconductor or advanced manufacturing sectors. Experience with CFD tools (ANSYS, Fluent, COMSOL, Star-CCM+) is a plus. Knowledge of Generative AI and NLP is a strong plus. Experience working in cross-functional teams and delivering production-level software solutions. Research experience involving machine learning applications to solve real-world engineering or manufacturing problems. Experience deploying and managing machine learning models in production using tools like MLflow, Kubeflow, or Airflow. Familiarity with CI/CD pipelines, Docker/Kubernetes, and cloud platforms (AWS, Azure, or GCP) for automating and scaling ML workflows. Understanding of model monitoring, versioning, and performance tracking to ensure reliability and reproducibility in production environments. Compensation: YES offers a stimulating and fun working environment, competitive salaries and benefits, and long-term incentives. Additional Information: YES is an equal opportunity employer and values diversity. All employment is decided based on qualifications, merit and business need. Come to find out why YES is such a great place to work. Apply today!

Role**: Digital : Data Science Required Technical Skill Set: Data Scientist Desired Experience Range: 03 - 08 yrs Notice Period: Immediate to 30Days only Location of Requirement: Hyderabad/Kolkata/Bangalore/Chennai/Pune We are currently planning to do a Virtual Interview Job Description: Must-Have** (Ideally should not be more than 3-5) Proficiency in Python or R for data analysis and modeling. Strong understanding of machine learning algorithms (regression, classification, clustering, etc.). Experience with SQL and working with relational databases. Hands-on experience with data wrangling, feature engineering, and model evaluation techniques. Experience with data visualization tools like Tableau, Power BI, or matplotlib/seaborn. Strong understanding of statistics and probability. Ability to translate business problems into analytical solutions. Good-to-Have Experience with deep learning frameworks (TensorFlow, Keras, PyTorch). Knowledge of big data platforms (Spark, Hadoop, Databricks). Experience deploying models using MLflow, Docker, or cloud platforms (AWS, Azure, GCP). Familiarity with NLP, computer vision, or time series forecasting. Exposure to MLOps practices for model lifecycle management. Understanding of data privacy and governance concepts. SN Responsibility of / Expectations from the Role 1 Work with stakeholders to identify business requirements and opportunities for leveraging data. Design and implement advanced analytics models using machine learning and statistical techniques. Clean, process, and analyze large datasets from various sources (structured & unstructured). Develop, test, and deploy predictive models and data pipelines. Create data visualizations, dashboards, and reports to communicate insights to non-technical users. Collaborate with data engineers, analysts, and product teams to integrate models into production environments. Monitor and continuously improve model performance. Stay up-to-date with latest research, tools, and techniques in data science and AI.

We are looking for a highly skilled and motivated Data Scientist with deep experience in building recommendation systems to join our team. This role demands expertise in deep learning, embedding-based retrieval, and the Google Cloud Platform (GCP). You will play a critical role in developing intelligent systems that enhance user experiences through personalized content discovery. Key Responsibilities: Develop, train, and deploy recommendation models using two-tower, multi-tower, and cross-encoder architectures . Generate and utilize text/image embeddings (e.g., CLIP , BERT , Sentence Transformers ) for content-based recommendations. Design semantic similarity search pipelines using vector databases (FAISS, ScaNN, Qdrant, Matching Engine). Create and manage scalable ML pipelines using Vertex AI , Kubeflow Pipelines , and GKE . Handle large-scale data preparation and feature engineering using Dataproc (PySpark) and Dataflow . Implement cold-start strategies leveraging metadata and multimodal embeddings. Work on user modeling , temporal personalization , and re-ranking strategies . Run A/B tests and interpret results to measure real-world impact. Collaborate with cross-functional teams (Engineering, Product, DevOps) for model deployment and monitoring. Must-Have Skills: Strong command of Python and ML libraries: pandas, polars, numpy, scikit-learn, matplotlib, tensorflow, torch, transformers. Deep understanding of modern recommender systems and embedding-based retrieval . Experience with TensorFlow , Keras , or PyTorch for building deep learning models. Hands-on with semantic search , ANN search , and real-time vector matching . Proven experience with Vertex AI , Kubeflow on GKE , and ML pipeline orchestration. Familiarity with vector DBs such as Qdrant , FAISS , ScaNN , or Matching Engine on GCP. Experience in deploying models via Vertex AI Online Prediction , TF Serving , or Cloud Run . Knowledge of feature stores , embedding versioning , and MLOps practices (CI/CD, monitoring). Preferred / Good to Have: Experience with ranking models (e.g., XGBoost , LightGBM , DLRM ) for candidate scoring. Exposure to LLM-powered personalization or hybrid retrieval systems. Familiarity with streaming pipelines using Pub/Sub , Dataflow , Cloud Functions . Hands-on with multi-modal retrieval (text + image + tabular data). Strong grasp of cold-start problem solving , using enriched metadata and embeddings. GCP Stack You’ll Work With: ML & Pipelines: Vertex AI, Vertex Pipelines, Kubeflow on GKE Embedding & Retrieval: Matching Engine, Qdrant, FAISS, ScaNN, Milvus Processing: Dataproc (PySpark), Dataflow Ingestion & Serving: Pub/Sub, Cloud Functions, Cloud Run, TF Serving CI/CD & Automation: GitHub Actions, GitLab CI, Terraform

Job Title: Data Science Intern Company: RSL Solution Pvt. Ltd. Location: Akurdi, Pune Job Type: Full-Time | Internship About Us:RSL Solution Pvt. Ltd. is a dynamic and growing organization committed to delivering innovative IT solutions and services. We are looking for a passionate and enthusiastic Data Science Intern to join our team and work on real-world projects that drive business insights and decision-making. Key Responsibilities:Assist in collecting, cleaning, and preprocessing structured and unstructured data. Perform exploratory data analysis (EDA) and visualize key trends and patterns. Work on predictive modeling, machine learning, and statistical analysis under guidance. Support the development and deployment of data-driven solutions. Collaborate with the technical team on ongoing projects and contribute to analytical problem-solving. Document findings, code, and methodologies in a clear and organized manner. Stay updated with the latest trends and tools in data science and analytics. Requirements:Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Engineering, or a related field. Good understanding of data analysis, statistics, and machine learning concepts. Proficiency in Python (NumPy, pandas, scikit-learn, Matplotlib, etc.). Familiarity with SQL and working knowledge of databases. Experience with data visualization tools (Tableau, Power BI, or Matplotlib/Seaborn) is a plus. Strong problem-solving skills and attention to detail. Good communication and teamwork skills. What You’ll Gain:Hands-on experience with real-world data science projects. Exposure to full data lifecycle – from raw data to actionable insights. Opportunity to learn from experienced professionals in a collaborative environment. Possibility of a pre-placement offer (PPO) based on performance.

We are looking for a Business Intelligence Analyst who can organize and analyze data from various sources and create reports and metrics. He should be able to both deeply analyze data and succinctly explain metrics and insights from it to different stakeholders. As a BI Analyst, you will be responsible for managing various data and metrics crucial to our business operations, including company sales and revenues, customer-level metrics, and product usage metrics. Additionally, you will collaborate with finance teams, assisting in tasks such as invoicing and cash flow management. This role also involves close collaboration with product and operations teams to analyze product metrics and enhance overall product performance. Responsibilities Manage and analyze company sales, revenues, profits, and other KPIs. Analyse photographer-level metrics, e. g. sales, average basket, conversion rate, and growth. Analyse product usage data and collaborate with the product team to improve product adoption and performance. Perform ad-hoc analysis to support various business initiatives. Assist the finance team in invoicing, cash flow management, and revenue forecasting. Requirements Expert-level proficiency in Excel. Familiarity with one or more data visualization and exploration tools, e. g. Tableau, Kibana, Grafana, etc. Strong analytical and problem-solving skills. Comfortable with analyzing large amounts of data and finding patterns and anomalies. Excellent communication and collaboration abilities. Experience in SQL for data querying and manipulation. Experience in Python for data analysis, e. g. pandas, numpy, scipy, matplotlib, etc. Familiarity with statistical analysis techniques. Experience with basic accounting, e. g. balance sheet, P, and L statements, double-entry accounting, etc. Experience Required: 4- 7 years. This job was posted by Anupriya Shrivastava from Pixfirst.

Responsibilities Understand the business problem and provide data science solutions. Carry out proof of concept for data science problems. Collaborate with product and engineering teams to build data science solutions (end-to-end) Do exploratory data analysis to support existing and future data science projects. Build dashboards to monitor the data science project's performance and communicate the metrics to the business team. Requirements Work Experience: 3+ Years of data science experience Machine Learning Knowledge: Well-versed with machine learning concepts and have built ML projects end-to-end. Understanding of mathematical concepts behind ML models. Statistical Data Analysis: Proficiency in applying statistical techniques to analyze data and generate useful business insights. Data Visualization: Skill in creating meaningful visualizations of complex data sets using tools like Tableau, PowerBI, or Python libraries (e. g., Matplotlib, Seaborn). Model Evaluation and Tuning: Knowledge of techniques for evaluating and improving the performance of machine learning models. Coding Skills: Strong coding skills in Python. Able to write modular and reusable code. Good to have experience in using LLMs for data science solutions This job was posted by Rashmi Yadahalli from CommerceIQ.

We are seeking a Senior Python Developer with 3-4 years of experience and a strong understanding of stock market dynamics, technical indicators, and trading systems. You'll take ownership of backtesting frameworks, strategy optimization, and developing high-performance, production-ready trading modules. The ideal candidate is someone who can think critically about trading logic, handle edge cases with precision, and write clean, scalable, and testable code. You should be comfortable working in a fast-paced, data-intensive environment where accuracy and speed are key. Responsibilities Design and maintain robust backtesting and live trading frameworks. Build modules for strategy development, simulation, and optimization. Integrate with real-time and historical market data sources (e. g., APIs, databases). Use libraries like Pandas, NumPy, TA-Lib, Matplotlib, SciPy, etc., for data processing and signal generation. Apply statistical methods to validate strategies (mean, regression, correlation, standard deviation, etc. ). Optimize code for low-latency execution and memory efficiency. Collaborate with traders and quants to implement and iterate on ideas. Use Git and manage codebases with best practices (unit testing, modular design, etc. ). Requirements 3-4 years of Python development experience, especially in data-intensive environments. Strong understanding of algorithms, data structures, and performance optimization. Hands-on with technical indicators, trading strategy design, and data visualization. Proficient with Pandas, NumPy, Matplotlib, SciPy, TA-Lib, etc. Strong SQL skills and experience working with structured and time-series data. Exposure to REST APIs, data ingestion pipelines, and message queues (e. g., Kafka, RabbitMQ) is a plus. Experience in version control systems (Git) and collaborative development workflows. Preferred Experience Hands-on experience with trading platforms or algorithmic trading systems. Familiarity with order management systems (OMS), execution logic, or market microstructure. Prior work with cloud infrastructure (AWS, GCP) or Docker/Kubernetes. Knowledge of machine learning or reinforcement learning in financial contexts is a bonus. This job was posted by Human Resource from Codeline Tech.

Data Science Intern 📍 Location: Remote (100% Virtual) 📅 Duration: 3 Months 💸 Stipend for Top Interns: ₹15,000 🎁 Perks: Certificate | Letter of Recommendation | Full-Time Offer (Based on Performance) About INLIGHN TECH INLIGHN TECH is a fast-growing edtech startup offering hands-on, project-based virtual internships designed to prepare students and fresh graduates for today’s tech-driven industry. The Data Science Internship focuses on real-world applications of machine learning, statistics, and data engineering to solve meaningful problems. 🚀 Internship Overview As a Data Science Intern , you'll explore large datasets, build models, and deliver predictive insights. You'll work with machine learning algorithms , perform data wrangling , and communicate your results with visualizations and reports. 🔧 Key Responsibilities Collect, clean, and preprocess structured and unstructured data Apply machine learning models for regression, classification, clustering, and NLP Work with tools like Python, Jupyter Notebook, Scikit-learn, TensorFlow , and Pandas Conduct exploratory data analysis (EDA) to discover trends and insights Visualize data using Matplotlib, Seaborn , or Power BI/Tableau Collaborate with other interns and mentors in regular review and feedback sessions Document your work clearly and present findings to the team ✅ Qualifications Pursuing or recently completed a degree in Data Science, Computer Science, Statistics, or a related field Proficiency in Python and understanding of libraries such as Pandas, NumPy, Scikit-learn Basic knowledge of machine learning algorithms and statistical concepts Familiarity with data visualization tools and SQL Problem-solving mindset and keen attention to detail Enthusiastic about learning and applying data science to real-world problems 🎓 What You’ll Gain Hands-on experience working with real datasets and ML models A portfolio of projects that demonstrate your data science capabilities Internship Certificate upon successful completion Letter of Recommendation for top-performing interns Opportunity for a Full-Time Offer based on performance Exposure to industry-standard tools, workflows, and best practices

Data Science Intern 📍 Location: Remote (100% Virtual) 📅 Duration: 3 Months 💸 Stipend for Top Interns: ₹15,000 🎁 Perks: Certificate | Letter of Recommendation | Full-Time Offer (Performance-Based) About INLIGHN TECH INLIGHN TECH is a future-driven edtech platform that provides real-world, project-based virtual internships to students and aspiring professionals. The Data Science Internship is designed to help you gain hands-on experience with real datasets, machine learning models, and data-driven solutions for real-world problems. 🚀 Internship Overview As a Data Science Intern , you'll work with structured and unstructured data, explore patterns and trends, and implement predictive models. This internship emphasizes practical exposure to data preprocessing, algorithm development, and result interpretation using tools widely used in the industry. 🔧 Key Responsibilities Collect, clean, and preprocess large datasets for analysis Apply machine learning algorithms to build predictive models Perform exploratory data analysis (EDA) using Python (Pandas, Matplotlib, Seaborn) Use tools like Jupyter Notebook , Scikit-learn , and TensorFlow for modeling Visualize data insights with Power BI, Tableau , or Matplotlib Interpret and communicate results in a meaningful, business-focused way Document workflows, challenges, and outcomes during the project ✅ Qualifications Pursuing or recently completed a degree in Data Science, Computer Science, Statistics , or a related field Proficient in Python , with experience in libraries like Pandas, NumPy, and Scikit-learn Understanding of statistics , data structures , and machine learning concepts Familiarity with SQL and data visualization tools Strong analytical mindset and attention to detail Ability to explain complex ideas in a simple, clear way 🎓 What You’ll Gain Hands-on experience in real-world data science projects A portfolio of machine learning and analytics projects Internship Certificate upon successful completion Letter of Recommendation for high performers Opportunity for a Full-Time Role based on performance Foundation to pursue further roles in data science, AI, and analytics

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role As a Data Scientist at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day will present a new puzzle to solve, a new challenge to conquer. You will dive deep into the heart of our business, understanding its objectives and requirements – viewing them through the lens of business acumen, and converting this knowledge into a data problem. You’ll collect and explore data, seeking underlying patterns and initial insights that will guide the creation of hypotheses. Analytical professional who uses statistical methods, machine learning, and programming skills to extract insights and knowledge from data. Their primary goal is to solve complex business problems, make predictions, and drive strategic decision-making by uncovering patterns and trends within large datasets. In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilizing statistical and mathematical modeling techniques, you'll have the opportunity to create models that defy convention – models that hold the key to solving intricate business challenges. With an acute eye for accuracy and generalization, you'll evaluate these models to ensure they not only solve business problems but do so optimally. Additionally, you're not just building and validating models – you’re deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle. Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have the ability to navigate their complexities, identifying issues and crafting solutions that drive meaningful change in these domains. You will develop and apply standards and policies that protect our organization's most valuable asset – ensuring that data is secure, private, accurate, available, and, most importantly, usable. Your mastery extends to data management, migration, strategy, change management, and policy and regulation. Key Responsibilities: Problem Framing: Collaborating with stakeholders to understand business problems and translate them into data-driven questions. Data Collection and Cleaning: Sourcing, collecting, and cleaning large, often messy, datasets from various sources, preparing them for analysis. Exploratory Data Analysis (EDA): Performing initial investigations on data to discover patterns, spot anomalies, test hypotheses, and check assumptions with the help of summary statistics and graphical representations. Model Development: Building, training, and validating machine learning models (e.g., regression, classification, clustering, deep learning) to predict outcomes or identify relationships. Statistical Analysis: Applying statistical tests and methodologies to draw robust conclusions from data and quantify uncertainty. Feature Engineering: Creating new variables or transforming existing ones to improve model performance and provide deeper insights. Model Deployment: Working with engineering teams to deploy models into production environments, making them operational for real-time predictions or insights. Communication and Storytelling: Presenting complex findings and recommendations clearly and concisely to both technical and non-technical audiences, often through visualizations and narratives. Monitoring and Maintenance: Tracking model performance in production and updating models as data patterns evolve or new data becomes available. If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential. Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. Who You Are You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Technical and Professional Expertise 8 - 10 years of experience as an Data Scientist . Programming Languages: Strong proficiency in Python and/or R, with libraries for data manipulation (e.g., Pandas, dplyr), scientific computing (e.g., NumPy), and machine learning (e.g., Scikit-learn, TensorFlow, PyTorch). Statistics and Probability: A solid understanding of statistical inference, hypothesis testing, probability distributions, and experimental design. Machine Learning: Deep knowledge of various machine learning algorithms, their underlying principles, and when to apply them. Database Querying: Proficiency in SQL for extracting and manipulating data from relational databases. Data Visualization: Ability to create compelling and informative visualizations using tools like Matplotlib, Seaborn, Plotly, or Tableau. Big Data Concepts: Familiarity with concepts and tools for handling large datasets, though often relying on Data Engineers for infrastructure. Domain Knowledge: Understanding of the specific industry or business domain to contextualize data and insights. Preferred Technical And Professional Experience Degree in a scientific discipline, such as Computer Science, Software Engineering, or Information Technology Being You Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.

Responsibilities as a Data Scientist at ThinkNeural AI: * Develop machine learning models using Python & Matplotlib. * Collaborate with cross-functional teams on data initiatives. * Analyze large datasets, model insights & optimize performance.

InnoWave is looking for a talented and analytical Data Scientist with 2–3 years of experience to join our dynamic team. The ideal candidate will have a strong foundation in data analysis, machine learning, and statistical modeling, and will be passionate about transforming data into actionable insights to support decision-making across projects. Responsibilities Analyze large and complex datasets to identify trends, patterns, and actionable insights Design, develop, and implement machine learning models to solve business problems Collaborate with cross-functional teams to understand business objectives and data needs Present analytical findings and model results clearly to both technical and non-technical stakeholders Create data visualizations and dashboards to communicate insights effectively Develop and maintain robust data pipelines and data wrangling scripts Monitor model performance and continuously improve algorithms Stay updated with the latest advancements in data science and machine learning Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field 2–3 years of hands-on experience in a data science or analytics role Strong proficiency in Python or R for data analysis and modeling Experience with machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch Solid understanding of statistical techniques and their real-world applications Experience with SQL and working with relational databases Familiarity with data visualization tools such as Power BI, Tableau, or matplotlib/seaborn Excellent problem-solving skills and attention to detail Strong communication and collaboration skills

🧠 Data Science Intern (Remote) Company: Coreline Solutions Type: Internship (3 to 6 Months) Mode: 100% Remote Stipend: Unpaid (Full-time opportunity may be offered upon successful completion) 🌐 About Us Coreline Solutions is a digital consulting and tech company focused on building smart, data-driven solutions for modern businesses. From AI integration to analytics platforms, we empower companies through technology, data science, and intelligent systems. Our team believes in continuous learning, transparency, and innovation — and we’re looking for passionate interns to grow with us. 🎯 About the Internship We’re seeking a Data Science Intern who is eager to explore real-world applications of machine learning, data analysis, and automation. You’ll be working alongside our engineering and analytics team to contribute to projects that improve business processes, insights, and outcomes. This internship is entirely remote, giving you the flexibility to learn and contribute from wherever you are. 📌 Key Responsibilities Collect, clean, and preprocess structured and unstructured data Perform exploratory data analysis (EDA) to extract insights Build and evaluate predictive models using Python and ML libraries Visualize data through tools such as matplotlib, seaborn, or Power BI Support teams with statistical analysis, feature engineering, and reporting Document models, results, and learnings in a collaborative environment ✅ What We’re Looking For Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, or a related field Good understanding of Python, NumPy, pandas, scikit-learn, and basic ML algorithms Familiarity with SQL and data visualization tools Analytical thinking and a curiosity for solving complex problems Ability to work independently and meet project deadlines remotely 💡 Bonus Skills (Preferred but Not Required) Exposure to cloud services (AWS, GCP, or Azure) Basic knowledge of Git/GitHub for version control Interest in NLP, deep learning, or data engineering 🎁 What You’ll Gain Hands-on experience with live data projects and business use-cases Mentorship from experienced data scientists and tech leads Internship Certificate upon completion Letter of Recommendation for high-performing interns Possibility of full-time placement based on performance and company needs 🤝 Our Commitment We are proud to be an equal opportunity organization. Coreline Solutions values diversity and is committed to creating an inclusive space where all team members, interns, and applicants feel respected and supported. All internship communications and personal data will be handled responsibly and securely, in alignment with LinkedIn’s Privacy Policy and Professional Community Policies. 📬 How to Apply To apply, send your updated resume and a brief introduction to: 📩 hr@corelinesolutions.in Use the subject line: "Application – Data Science Intern – [Your Full Name]" 📌 Before applying, make sure your LinkedIn profile reflects your latest skills and projects.

Job Description At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Overview As a leading global aerospace company, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. As a top U.S. exporter, the company leverages the talents of a global supplier base to advance economic opportunity, sustainability and community impact. Boeing’s team is committed to innovating for the future, leading with sustainability, and cultivating a culture based on the company’s core values of safety, quality and integrity. Technology for today and tomorrow The Boeing India Engineering & Technology Center (BIETC) is a 5500+ engineering workforce that contributes to global aerospace growth. Our engineers deliver cutting-edge R&D, innovation, and high-quality engineering work in global markets, and leverage new-age technologies such as AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing, shaping the future of aerospace. People-driven culture At Boeing, we believe creativity and innovation thrives when every employee is trusted, empowered, and has the flexibility to choose, grow, learn, and explore. We offer variable arrangements depending upon business and customer needs, and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration, frequent team engagements, and face-to-face meetings bring together different perspectives and thoughts – enabling every voice to be heard and every perspective to be respected. No matter where or how our teammates work, we are committed to positively shaping people’s careers and being thoughtful about employee wellbeing. With us, you can create and contribute to what matters most in your career, community, country, and world. Join us in powering the progress of global aerospace. Position Overview: Boeing Test and Evaluation team is currently looking for Associate BI Analyst to join their team in Bengaluru, KA. BI Analyst at Boeing make sure that products at the world’s largest aerospace company continue to meet the highest standards. From quality and reliability to safety and performance, their expertise is vital to the concept, design and certifications of a wide variety of commercial and military systems. Position Responsibilities: Develop and maintain high-quality Python code for data analysis and data visualization. Utilize Tableau to create interactive and insightful dashboards and reports for data-driven decision-making. Collaborate closely with data scientists and business analysts to understand requirements and translate them into effective software and visualization solutions. Participate in code reviews, ensuring adherence to best practices and standards. Optimize existing algorithms and systems for improved performance and scalability. Contribute to the integration of machine learning models into production systems. Troubleshoot and resolve issues related to data quality, performance, and visualization. Stay abreast of new technologies and methodologies in software development, data science, and business intelligence. Document software developments and maintain software documentation. Prepare data for analysis, including cleansing, conditioning, transforming, handling missing fields, identifying new feature variables, and handling multivariate data. Monitor production and deployment. Prepare decision support visualizations and reports, algorithms, models, dashboards, and/or tools. Support the development of software applications integrated with insights obtained from data science and business analysis activities. Employer will not sponsor applicants for employment visa status. Basic Qualifications (Required Skills/Experience): Minimum 5+ years of professional experience in Python development and Tableau. Position requires hands-on experience in working with SQL, Python, R, Data modeling, and Tableau. Solid understanding of software development principles and lifecycle. Familiarity with data structures, algorithms, system design, and business intelligence concepts. Experience with Python libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn. Knowledge of version control systems, preferably Git. Strong problem-solving skills and ability to work in a team environment. Excellent verbal and written communication skills. Preferred Qualifications (Desired Skills/Experience): Candidate must be a self-starter with a positive attitude, high ethics, and a track record of working independently in developing the analytics solutions Must be able to work collaboratively with very strong teaming skills. Must be willing to work flexible hours (early or late as needed) to interface with Boeing personnel around the world. Develop and maintain relationships / partnerships with customers, stakeholders, peers, and partners to develop collaborative plans and execute on projects. Proactively seek information and direction to successfully complete the statement of work. Demonstrate strong written, verbal and interpersonal communication skills. Be fluent in written and spoken English, and have high degree of proficiency with MS Office tools to prepare comprehensive reports, presentations, proposals, and Statements of Work. Preferred experience in handling engineering data sets such as component failure data, engineering production process data, engineering test data, time series data etc. Preferred experience in deploying data science solutions on cloud platforms like PCF, GCP, etc Experience in C# Language or ReactJS is a huge plus. Typical Education & Experience: Bachelor or Master degree in Computer Science/ Engineering (Software / Instrumentation / Electronics / Electrical / Mechanical or equivalent discipline) Relocation: This position offers relocation based on candidate eligibility within India. Applications for this position will be accepted until Jul. 04, 2025 Export Control Requirements: This is not an Export Control position. Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift Not a Shift Worker (India) Equal Opportunity Employer: We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law. We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology Your Role And Responsibilities Scale an existing RAG code base for a production grade AI application Requirements: Proficiency in Prompt Engineering, LLMs, and Retrieval Augmented Generation Programming languages like Python or Java Experience with vector databases Experience using LLMs in software applications, including prompting, calling, and processing outputs Experience with AI frameworks such as LangChain Troubleshooting skills and creative in finding new ways to leverage LLM Experience with Azure 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 Documentation and Knowledge Sharing: Document 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 Innovation: Stay 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. Experience in python and pyspark will be added advantage 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 Prepare the effort estimates, WBS, staffing plan, RACI, RAID etc. . 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. Demonstrate a growth mindset to understand clients' business processes and challenges Preferred Technical And Professional Experience Education: Bachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

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.

"Strong working experience in python based Django,Flask framework. Experience in developing microservices based design and architecture. Strong programming knowledge in Javascript,HTML5, Python, Restful API, gRPC API Programming experience & object-oriented concepts in PYTHON. Knowledge of python libraries like Numpy, Pandas, Ppen3D, OpenCV, Matplotlib. Knowledge of MySQL/Postgres/MSSQL database. Knowledge of 3D geometry. Knowledge of SSO/OpenID Connect/OAuth authentication protocols. Working experience with version control systems like GitHub/BitBucket/GitLab. Familiarity with continuous integration and continuous deployment (CI/CD) pipelines. Basic knowledge of image processing. Knowledge of data-analysis, data science. Strong communication skills. Very good in analytical & logical thinking on different perspectives. Ability to handle challenges & resolve any blockers. Good team player & proactive in giving new ideas/suggestions/solutions & constructive analysis of team member"s ideas. Interested to working in a fast-paced, Agile software development team Good to Have: Knowledge of other programming language like C, C++. Knowledge of basics of machine-learning. Exposure to NoSQL Databases. Knowledge of GCP/AWS/Azure cloud" Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. - Grade Specific Has more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules.

Company: Covalensedigital Location: Pune Experience: 3.5 to 5 Years Hiring For: Consultant About the Role Covalensedigital is seeking a passionate and experienced Full Stack Developer to join our technology team. The ideal candidate will have strong backend development expertise in Python (Flask or Django), along with experience in MySQL, frontend development, and data visualization. You will be responsible for building and maintaining scalable internal tools and dashboards that support business operations and insights. Key Responsibilities Backend Development Develop RESTful APIs using Flask or Django Implement authentication, authorization, and business logic Write scalable and modular Python code Database Management Design and optimize MySQL schemas Perform migrations, indexing, and tuning for performance Frontend Development Build intuitive user interfaces with HTML, CSS, JavaScript Integrate frontend components with backend APIs Data Visualization Utilize Pandas, NumPy, Plotly, Matpand lotlib for analysis and dashboarding Deliver real-time insights through dynamic visualizations Deployment & DevOps Deploy applications on AWS (EC2, RDS, S3) Manage environment variables, backups, and basic CI/CD pipelines Required Skills Minimum 2 years of hands-on experience in Flask or Django Proficiency in MySQL (queries, joins, procedures) Strong understanding of REST APIs and JSON Experience in frontend development with HTML, CSS, JavaScript Data analysis and visualization using Pandas, NumPy, Plotly, Matplotlib AWS deployment experience Familiarity with Git and collaborative workflows Nice to Have Exposure to React or Vue.js Experience with Docker or containerised deployments Familiarity with background jobs (Celery, cron) Understanding of secure coding practices Immediate Joiners Preferred Work Location: Pune (Onsite/Hybrid as per project needs) Send your updated resume to: Email: kalaivanan.balasubramaniam@covalensedigital.com Thanks Kalai 8015302990

Siemens Digital Industries Software is seeking a detail-oriented Data Analyst to join our Strategy team where your analytical prowess will directly shape the future of industrial innovation. This pivotal role is crafted for an analytical thinker who thrives on solving complex problems and is eager to grow into a Data Science professional within our world-renowned technology ecosystem. As a Siemens Data Analyst, you'll experience an outstanding opportunity to work at the intersection of AI-driven solutions and global industrial digitalization, with clear pathways for professional development and mentorship from world-class technology leaders. Your work will not just analyze data, but will contribute to transformative technologies that solve real-world challenges for the Strategy organization. Responsibilities: Develop and maintain robust data pipelines using tools like Snowflake and ELT/ETL processes. Optimally communicate complex data findings and recommendations to both technical and non-technical stakeholders. Gather, clean, and analyze large datasets to extract meaningful insights. Develop and maintain dashboards, reports, and visualizations to track key business metrics. Collaborate with partners to define data-driven solutions and support strategic decision-making. Identify trends, patterns, and correlations in data to improve business processes. Apply SQL, Python, or R to perform data manipulation and analysis. Ensure data accuracy, integrity, and consistency across reporting platforms. Work closely with data engineers to optimize data pipelines and database structures. Experiment with innovative AI technologies (Langchain for generative AI) to explore new marketing possibilities and develop data-driven recommendations. Explore opportunities to integrate machine learning and AI techniques into analysis over time. Qualifications: Bachelors degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. We are looking for candidate with 3-5 years of experience in data analysis, business intelligence, data science or a related field. Proficiency in SQL for querying and handling data! Experience with data visualization tools (e.g., Tableau, Power BI, Looker, Matplotlib, Seaborn). Familiarity with Python or R for data analysis and automation and git version control. We are seeking for candidate with solid understanding of regression analysis and other statistical methods. Experience with AI/Machine Learning frameworks (e.g., Langchain) is a strong plus. Experience with Snowflake data warehousing is a plus! Adaptable and eager to learn new tools and technologies. A results-oriented approach with a good work ethic and a passion for innovation. Strong analytical and problem-solving skills with attention to detail. Excellent communication skills to collaborate with technical and non-technical teams. Willingness to expand into machine learning and data science methodologies. Easy to work with global team and can build positive relationships with a broad set of stakeholders that have diverse interests. A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow! We offer a comprehensive reward package which includes a competitive basic salary, bonus scheme, generous holiday allowance, pension, and private healthcare. Siemens Software. Transform the every day with us' #li-plm #LI-Hybrid, #SWSaaS ...Less

Educational Bachelor of Engineering,Bachelor Of Technology,Bachelor Of Science,Bachelor Of Comp. Applications,Master Of Technology,Master Of Engineering,Master Of Comp. Applications,Master Of Science Service Line Engineering Services Responsibilities Evaluate the performance of machine learning models and refine them to improve accuracy andgeneralizability. Communicate data insights to stakeholders in a clear and concise manner, using data visualization techniques and storytelling. collaborate with data engineers, software developers, and business stakeholders to integrate data science solutions into products and services. Stay up-to-date with the latest trends and developments in data science, machine learning, and artificial intelligence. Additional Responsibilities: GExperience with Natural Language Processing (NLP) and Computer Vision (CV) techniques. Knowledge of DevOps methodologies and practices for continuous integration/continuous delivery (CI/CD). Experience with data warehousing and data lakes solutions like BigQuery or Snowflake. Familiarity with real-time data processing and streaming analytics. Passion for learning and staying at the forefront of data science and machine learning advancements. Technical and Professional : Master's degree in Computer Science, Statistics, Mathematics, or a related field. 7+ years of experience in data science and machine learning with a strong focus on model development and deployment. Expert-level knowledge of statistics, including probability theory, hypothesis testing, and statistical inference. In-depth knowledge of machine learning algorithms, including linear regression, logistic regression, decision trees, random forests, xgboost, and ensemble learning. Strong programming skills in Python and proficiency in data science libraries like pandas, scikit-learn, numpy, Pytorch/Keras, and TensorFlow. Experience with cloud computing platforms, particularly Google Cloud Platform (GCP). Excellent data visualization skills using tools like matplotlib, seaborn, or Tableau. Strong communication and presentation skills, both written and verbal. Preferred Skills: Technology-Analytics - Techniques-Cluster Analysis Technology-Analytics - Techniques-Decision Trees Technology-Analytics - Techniques-Linear Regression Technology-Machine Learning-Python

Scale an existing RAG code base for a production grade AI application Proficiency in Prompt Engineering, LLMs, and Retrieval Augmented Generation Programming languages like Python or Java Experience with vector databases Experience using LLMs in software applications, including prompting, calling, and processing outputs Experience with AI frameworks such as LangChain Troubleshooting skills and creative in finding new ways to leverage LLM Experience with Azure 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. Experience in python and pyspark will be added advantage 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 Prepare the effort estimates, WBS, staffing plan, RACI, RAID etc. . 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. Demonstrate a growth mindset to understand clients' business processes and challenges Preferred technical and professional experience EducationBachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

Scale an existing RAG code base for a production grade AI application Proficiency in Prompt Engineering, LLMs, and Retrieval Augmented Generation Programming languages like Python or Java Experience with vector databases Experience using LLMs in software applications, including prompting, calling, and processing outputs Experience with AI frameworks such as LangChain Troubleshooting skills and creative in finding new ways to leverage LLM Experience with Azure 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. Experience in python and pyspark will be added advantage 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 Prepare the effort estimates, WBS, staffing plan, RACI, RAID etc. . 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. Demonstrate a growth mindset to understand clients' business processes and challenges Preferred technical and professional experience EducationBachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences