1416 Matplotlib Jobs - Page 4

Job Title: Data Analytics Trainer Location: Shadnagar, Hyderabad Duration: 3 Months (400hrs) Job Summary We are seeking an experienced and passionate Data Analytics Trainer to deliver high-quality training in our 400-hour Data Analytics program, spanning 3 months. The ideal candidate will have deep expertise in Advanced Excel , Power BI , Tableau , MySQL , Python for Data Analysis , and foundational Machine Learning concepts. The trainer will facilitate both theoretical and practical sessions, guide students through hands-on projects, and prepare them for real-world data analytics challenges across domains like finance, healthcare, e-commerce, and more. Key Responsibilities Deliver Training Modules : Conduct engaging and interactive sessions covering the following: Advanced Excel (60 hours): Teach cell referencing, arithmetic/logical/lookup functions, data validation, pivot tables, charts, dashboards, and Power Query/Power Pivot. Power BI (66 hours): Guide students through data loading, visualization (column/line charts, conditional formatting), Power Query Editor, DAX expressions, and dashboard creation. Tableau (66 hours): Train on data visualization, filters, calculations (basic, LOD, table), custom charts, and dashboard actions, including Tableau Public integration. MySQL (60 hours): Instruct on SQL commands (DDL, DML, DQL, TCL), joins, indexes, views, stored procedures, triggers, and sub-queries. Python for Data Analysis (24 hours): Teach Python basics, data types, pandas for EDA, data visualization with matplotlib/seaborn, and data wrangling. Introduction to Machine Learning (72 hours): Cover statistics, hypothesis testing, EDA, linear/logistic regression, clustering, feature engineering, and model validation. CRT Training (54 hours): Facilitate sessions on quantitative aptitude, logical reasoning, verbal ability, and soft skills (e.g., presentation, teamwork, interview skills). Required Qualifications Education : Bachelor’s/Master’s degree in Data Science, Computer Science, Statistics, or a related field. Experience : 3+ years of professional experience in data analytics or data science. 1+ years of training or teaching experience in data analytics tools (Excel, Power BI, Tableau, MySQL, Python). Hands-on experience with machine learning concepts and Python libraries (pandas, matplotlib, seaborn). Technical Skills : Proficiency in Advanced Excel (VLOOKUP, INDEX-MATCH, Pivot Tables, Power Query). Expertise in Power BI (DAX, Power Query, dashboard creation) and Tableau (LOD calculations, custom charts). Strong knowledge of MySQL (joins, stored procedures, triggers) and Python (pandas, data visualization). Familiarity with machine learning concepts (regression, clustering, feature engineering). Soft Skills : Excellent communication and presentation skills. Ability to simplify complex concepts for beginners. Strong problem-solving and mentoring abilities. Preferred Qualifications Industry experience in domains like finance, healthcare, e-commerce, or supply chain analytics. Certifications in Power BI , Tableau , or Python (e.g., Microsoft Certified: Data Analyst Associate). Experience with capstone project mentoring in data analytics or machine learning. Familiarity with quantitative aptitude, logical reasoning, and soft skills training. Note : Mode of delivery is offline. Transportation and Accommodation will be provided.

As an expectation a fitting candidate must have/be: Ability to analyze business problem and cut through the data challenges. Ability to churn the raw corpus and develop a data/ML model to provide business analytics (not just EDA), machine learning based document processing and information retrieval Quick to develop the POCs and transform it to high scale production ready code. Experience in extracting data through complex unstructured documents using NLP based technologies. Good to have : Document analysis using Image processing/computer vision and geometric deep learning Technology Stack: Python as a primary programming language. Conceptual understanding of classic ML/DL Algorithms like Regression, Support Vectors, Decision tree, Clustering, Random Forest, CART, Ensemble, Neural Networks, CNN, RNN, LSTM etc. Programming: Must Have: Must be hands-on with data structures using List, tuple, dictionary, collections, iterators, Pandas, NumPy and Object-oriented programming Good to have: Design patterns/System design, cython ML libraries: Must Have: Scikit-learn, XGBoost, imblearn, SciPy, Gensim Good to have: matplotlib/plotly, Lime/sharp Data extraction and handling: Must Have: DASK/Modin, beautifulsoup/scrappy, Multiprocessing Good to have: Data Augmentation, Pyspark, Accelerate NLP/Text analytics: Must Have: Bag of words, text ranking algorithm, Word2vec, language model, entity recognition, CRF/HMM, topic modelling, Sequence to Sequence Good to have: Machine comprehension, translation, elastic search Deep learning: Must Have: TensorFlow/PyTorch, Neural nets, Sequential models, CNN, LSTM/GRU/RNN, Attention, Transformers, Residual Networks Good to have: Knowledge of optimization, Distributed training/computing, Language models Software peripherals: Must Have: REST services, SQL/NoSQL, UNIX, Code versioning Good to have: Docker containers, data versioning Research: Must Have: Well verse with latest trends in ML and DL area. Zeal to research and implement cutting areas in AI segment to solve complex problems Good to have: Contributed to research papers/patents and it is published on internet in ML and DL Morningstar is an equal opportunity employer. Morningstar’s hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. We’ve found that we’re at our best when we’re purposely together on a regular basis, at least three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you’ll have tools and resources to engage meaningfully with your global colleagues. I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity

You will be joining our team as a Senior Data Scientist with expertise in Artificial Intelligence (AI) and Machine Learning (ML). The ideal candidate should possess a minimum of 5-7 years of experience in data science, focusing on AI/ML applications. You are expected to have a strong background in various ML algorithms, programming languages such as Python, R, or Scala, and data processing frameworks like Apache Spark. Proficiency in data visualization tools and experience in model deployment using Docker, Kubernetes, and cloud services will be essential for this role. Your responsibilities will include end-to-end AI/ML project delivery, from data processing to model deployment. You should have a good understanding of statistics, probability, and mathematical concepts used in AI/ML. Additionally, familiarity with big data tools, natural language processing techniques, time-series analysis, and MLOps will be advantageous. As a Senior Data Scientist, you are expected to lead cross-functional project teams and manage data science projects in a production setting. Your problem-solving skills, communication skills, and curiosity to stay updated with the latest advancements in AI and ML are crucial for success in this role. You should be able to convey technical insights clearly to diverse audiences and quickly adapt to new technologies. If you are an innovative, analytical, and collaborative team player with a proven track record in AI/ML project delivery, we invite you to apply for this exciting opportunity.,

Description / Position Overview This is a key position for our client to help create data-driven technology solutions that will position us as the industry leader in healthcare, financial, and clinical administration. This hands-on Lead Data Scientist role will focus on building and implementing machine learning models and predictive analytics solutions that will drive the new wave of AI-powered innovation in healthcare. You will be the lead data science technologist responsible for developing and implementing a multitude of ML/AI products from concept to production, helping us gain a competitive advantage in the market. Alongside our Director of Data Science, you will work at the intersection of healthcare, finance, and cutting-edge data science to solve some of the industry's most complex challenges. This is a greenfield opportunity within VHT’s Product Transformation division, where you'll build groundbreaking machine learning capabilities from the ground up. You'll have the chance to shape the future of VHT’s data science & analytics foundation while working with cutting-edge tools and methodologies in a collaborative, innovation-driven environment. Key Responsibilities As the Lead Data Scientist, your role will require you to work closely with subject matter experts in clinical and financial administration across practices, health systems, hospitals, and payors. Your machine learning projects will span the entire healthcare revenue cycle - from clinical encounters through financial transaction completion, extending into back-office operations and payer interactions. You will lead the development of predictive machine learning models for Revenue Cycle Management analytics, along the lines of: • Payer Propensity Modeling - predicting payer behavior and reimbursement likelihood • Claim Denials Prediction - identifying high-risk claims before submission • Payment Amount Prediction - forecasting expected reimbursement amounts • Cash Flow Forecasting - predicting revenue timing and patterns • Patient-Related Models - enhancing patient financial experience and outcomes • Claim Processing Time Prediction - optimizing workflow and resource allocation Additionally, we will work on emerging areas and integration opportunities—for example, denial prediction + appeal success probability or prior authorization prediction + approval likelihood models. You will reimagine how providers, patients, and payors interact within the healthcare ecosystem through intelligent automation and predictive insights, ensuring that providers can focus on delivering the highest quality patient care. VHT Technical Environment • Cloud Platform : AWS (SageMaker, S3, Redshift, EC2) • Development Tools : Jupyter Notebooks, Git, Docker • Programming : Python, SQL, R (optional) • ML/AI Stack : Scikit-learn, TensorFlow/PyTorch, MLflow, Airflow • Data Processing : Spark, Pandas, NumPy • Visualization : Matplotlib, Seaborn, Plotly, Tableau Required Qualifications • Advanced degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field • 5+ years of hands-on data science experience with a proven track record of deploying ML models to production • Expert-level proficiency in SQL and Python , with extensive experience using standard Python machine learning libraries (scikit-learn, pandas, numpy, matplotlib, seaborn, etc.) • Cloud platform experience, preferably AWS, with hands-on knowledge of SageMaker, S3, Redshift, and Jupyter Notebook workbenches (other cloud environments acceptable) • Strong statistical modeling and machine learning expertise across supervised and unsupervised learning techniques • Experience with model deployment, monitoring, and MLOps practices • Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders Preferred Qualifications • US Healthcare industry experience , particularly in Health Insurance and/or Medical Revenue Cycle Management • Experience with healthcare data standards (HL7, FHIR, X12 EDI) • Knowledge of healthcare regulations (HIPAA, compliance requirements) • Experience with deep learning frameworks (TensorFlow, PyTorch) • Familiarity with real-time streaming data processing • Previous leadership or mentoring experience

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Job Description The development engineer will be part of a team working on the development of the Illustrator product in our creative suite of products. They will be responsible for the development of new features and maintenance of existing features and will be responsible for all phases of development, from early specs and definition to release. They are expected to be hands-on problem solvers and well conversant in analyzing, architecting,, and implementing high-quality software. Requirements B.Tech. / M.Tech. in Computer Science from a premiere institute. Should have excellent knowledge in the the fundamentals of machine learning and artificial intelligence. Should have hands on experience through ML lifecycle from EDA to model deployment. Should have hands on experience data analysis tools like Jupyter, and packages like Numpy, Matplotlib etc. Should be hands-on in writing code that is reliable, maintainable, secure, performance optimized, multi-platform and world-ready Familiarity with state-of-art deep learning frameworks, such as Tensorflow, PyTorch, Keras, Caffe, Torch. Strong programming skills in C/C++ and Python. Hands-on experience with data synthesis and processing for the purpose of training a model. Relevant work experience in the fields of computer vision and graphics, etc. Experience: 2-4 Years in ML Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

As a skilled professional in Python, you will be responsible for designing, developing, and backtesting trading strategies. You will collaborate with your team members to enhance code performance and accuracy. Your expertise will be utilized to implement effective data handling and storage solutions using MySQL. Utilizing tools like Matplotlib, you will visualize data insights and trading results. In addition, your contribution to the development of web applications using Flask will be vital. Your sound knowledge of data structures and algorithms will play a key role in enhancing trading strategies. Keeping yourself updated with industry trends will be essential to continuously improve trading models. Join us at Alphanalysis, where your talents will be valued and opportunities for growth are abundant.,

As an accomplished VP/Director of Data Scientist with over 15 years of experience, you will play a crucial role in leading our Data Science team. Your responsibilities will include providing strategic leadership in developing and executing the organization's data science strategy, overseeing the design and deployment of sophisticated predictive models, ensuring data governance and compliance, identifying and implementing emerging technologies, collaborating with cross-functional teams, and serving as a thought leader in the field of data science. Your key responsibilities will involve driving innovation and excellence in all data-driven initiatives, developing and deploying advanced models using cutting-edge statistical and machine learning techniques, implementing robust data governance frameworks, identifying and implementing emerging technologies, leading cross-functional teams, representing the organization at industry conferences, building and leading a high-performing team, preparing comprehensive reports and presentations, and continuously seeking opportunities to enhance analytical capabilities. To qualify for this role, you should have a Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field, with a Master's or PhD degree being highly preferred. You should have over 15 years of hands-on experience in data science, particularly in the banking or financial services industry. Proficiency in programming languages like Python, R, or SQL, experience with data visualization tools such as Tableau or Power BI, expertise in machine learning frameworks like scikit-learn or TensorFlow, and strong analytical and problem-solving skills are essential requirements. Preferred qualifications include a comprehensive understanding of banking processes, products, and regulatory requirements, relevant certifications in data science or analytics, extensive experience in project management, and strong leadership skills with a strategic mindset and attention to detail. If you are a visionary leader with a passion for data science and a proven track record of strategic leadership in the banking sector, we invite you to join our team and drive innovation, excellence, and continuous improvement in our data analytics capabilities.,

🤖 Data Science Intern – Remote | Real Projects, Real Skills, Real Impact 📍 Location: Remote / Virtual 💼 Type: Internship (Unpaid) 🎁 Perks: Certificate after Completion || Letter of Recommendation (6 Months) 🕒 Schedule: Flexible (5–7 hours/week) Are you passionate about data, AI, and problem-solving? Join Skillfied Mentor and step into the world of data science with real projects, hands-on mentoring, and practical tools. This virtual internship is designed for students and fresh graduates who want to build real experience working on machine learning models , data pipelines , and predictive analytics . 🔧 What You’ll Do: Clean and prepare data for analysis and modeling Build and train basic machine learning models using Python Work on tools like Pandas, NumPy, Scikit-Learn, Jupyter Present findings in visual formats using Matplotlib/Seaborn Collaborate with peers and mentors during project reviews 🎓 What You’ll Gain: ✅ Full Python Course included during internship ✅ Hands-on experience with real-world ML and DS projects ✅ Internship Certificate + LOR (6 Months) ✅ Projects that enhance your resume and portfolio ✅ Work with tools & libraries used in the industry ✅ Fully remote – manage your schedule (5–7 hrs/week) 🗓️ Application Deadline: 30th July 2025 👉 Apply now and launch your Data Science journey with Skillfied Mentor!

Experience : 2-7 Years Fresh Graduates with good knowledge in AI Models Tensorflow / Tensflow Lite will be considered for trainee positions. Required Skills: • Knowledge of anomaly detection techniques (statistical models, unsupervised learning) • Experience in integrating AI models (optimization for edge devices, TensorFlow Lite , etc.) • Fundamental understanding of machine learning and deep learning (CNN, RNN, GAN) • Experience with Python libraries (TensorFlow, PyTorch, scikit-learn, etc.) • Understanding of time-series data processing (experience with LSTM, GRU, etc.) • Sensor data processing (noise reduction, feature extraction, preprocessing techniques) • Data visualization and analysis skills (Pandas, Matplotlib, Seaborn) • AI model optimization and evaluation methods (cross-validation, hyperparameter tuning)

At Rhythm, our values serve as the cornerstone of our organization. We are deeply committed to customer success, fostering innovation, and nurturing our employees. These values shape our decisions, actions, and interactions, ensuring that we consistently create a positive impact on the world around us. Rhythm Innovations is currently looking for a skilled and enthusiastic Machine Learning (ML) Developer to conceptualize, create, and implement machine learning models that enhance our supply chain risk management and other cutting-edge solutions. As an ML Developer, you will collaborate closely with our AI Architect and diverse teams to construct intelligent systems that tackle intricate business challenges and further our goal of providing unparalleled customer satisfaction. Key Responsibilities Model Development: Devise, execute, and train machine learning models utilizing cutting-edge algorithms and frameworks like TensorFlow, PyTorch, and scikit-learn. Data Preparation: Process, refine, and convert extensive datasets for the training and assessment of ML models. Feature Engineering: Identify and engineer pertinent features to enhance model performance and precision. Algorithm Optimization: Explore and implement advanced algorithms to cater to specific use cases such as classification, regression, clustering, and anomaly detection. Integration: Coordinate with software developers to integrate ML models into operational systems and guarantee smooth functionality. Performance Evaluation: Assess model performance using suitable metrics and consistently refine for accuracy, efficacy, and scalability. MLOps: Aid in establishing and overseeing CI/CD pipelines for model deployment and monitoring in production environments. Research and Development: Stay abreast of the latest breakthroughs in Gen AI AI/ML technologies and propose inventive solutions. Collaboration: Engage closely with data engineers, product teams, and stakeholders to grasp requirements and deliver customized ML solutions. Requirements Educational Background: Bachelor's in Engineering in Computer Science, Data Science, Artificial Intelligence, or a related field. Experience: 3 to 6 years of practical experience in developing and deploying machine learning models. Technical Skills Proficiency in Python and ML libraries/frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Experience with data manipulation tools like Pandas, NumPy, and visualization libraries such as Matplotlib or Seaborn. Familiarity with big data frameworks (Hadoop, Spark) is advantageous. Knowledge of SQL/NoSQL databases and data pipeline tools (e.g., Apache Airflow). Hands-on experience with cloud platforms (AWS, Azure, Google Cloud) and their Gen AI AI/ML services. Thorough understanding of supervised and unsupervised learning, deep learning, and reinforcement learning. Exposure to MLOps practices and model deployment pipelines. Soft Skills Strong problem-solving and analytical abilities. Effective communication and teamwork skills. Capability to thrive in a dynamic, collaborative environment.,

As an AI Data Scientist at our dynamic team, you will be responsible for leveraging data and advanced algorithms to drive AI initiatives, build machine learning models, and provide actionable insights contributing to the company's strategic goals. Working closely with cross-functional teams, you will deliver data-driven solutions that enhance our products and services. A Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or related fields is required, along with 10+ years of experience in data science, analytics, and machine learning. Your technical expertise should include proficiency in programming languages such as Python, R, or SQL, a strong understanding of machine learning algorithms, statistical modeling, and data mining techniques. Experience with data visualization tools like Tableau, Power BI, or Matplotlib, knowledge of big data technologies such as Hadoop, Spark, and cloud platforms like AWS, Google Cloud, is essential. Familiarity with both relational and NoSQL database systems is also expected. Strong soft skills are crucial for this role, including excellent problem-solving and analytical skills, effective communication and collaboration abilities, and the capability to explain complex technical concepts to non-technical stakeholders. You should also possess strong project management and organizational skills. Your responsibilities will involve data analysis, including collecting, cleaning, and preprocessing data from various sources, performing exploratory data analysis, and developing statistical models and machine learning algorithms to solve business problems. Additionally, you will design, build, and validate predictive models, optimize model performance, and implement machine learning solutions in production environments. Creating data visualizations, developing dashboards and reports, and presenting data-driven recommendations to stakeholders are also key tasks. Collaboration with cross-functional teams, providing technical guidance, and mentorship, along with continuous improvement by staying updated with industry trends and driving innovation in data science practices are essential aspects of the role. GlobalLogic offers exciting projects, a collaborative environment, work-life balance, professional development opportunities, excellent benefits, and fun perks to create a rewarding work experience for its employees. Join us at GlobalLogic, a leader in digital engineering, and be part of a team that designs and builds innovative products, platforms, and digital experiences for the modern world.,

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations Responsibilities Job Description & Summary – Associate – GenAI – Mumbai Role : Associate Exp : 3—5 Years Location: Mumbai Job Description: Candidate with 3-5 years of exp and a strong background in machine learning, technical expertise, and domain knowledge in Banking, Financial Services, and Insurance (BFSI). Experience with Generative AI (GenAI) is a must have. Key Responsibilities: Collaborate with clients to understand their business needs and provide data-driven solutions. Develop and implement machine learning models to solve complex business problems. Analyze large datasets to extract actionable insights and drive decision-making. Present findings and recommendations to stakeholders in a clear and concise manner. Stay updated with the latest trends and advancements in data science and machine learning. GenAI Experience: Generative AI (GenAI) experience, including working with models like GPT, BERT, and other transformer-based architectures Ability to leverage GenAI for tasks such as text generation, summarization, and conversational AI Experience in developing and deploying GenAI solutions to enhance business processes and customer experiences Technical Skills: Programming Languages: Proficiency in Python, R, and SQL for data manipulation, analysis, and model development. Machine Learning Frameworks: Extensive experience with TensorFlow, PyTorch, and Scikit-learn for building and deploying models. Data Visualization Tools: Strong knowledge of Tableau, Power BI, and Matplotlib to create insightful visualizations. Cloud Platforms: Expertise in AWS, Azure, and Google Cloud for scalable and efficient data solutions. Database Management: Proficiency in SQL and NoSQL databases for data storage and retrieval. Version Control: Experience with Git for collaborative development and code management. APIs and Web Services: Ability to integrate and utilize APIs for data access and model deployment. Machine Learning algorithms: Supervised and Unsupervised Learning Regression Analysis Classification Techniques Clustering Algorithms Natural Language Processing (NLP) Time Series Analysis Deep Learning Reinforcement Learning Mandatory Skill Sets GenAI Preferred Skill Sets GenAI Years Of Experience Required 3—5 Years Education Qualification B.E.(B.Tech)/M.E/M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration, Bachelor of Technology Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Extract Transform Load (ETL), Microsoft Azure Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis, Intellectual Curiosity, Java (Programming Language), Market Development {+ 11 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Data scientist roles and responsibilities include: Data mining or extracting usable data from valuable data sources Using machine learning tools to select features, create and optimize classifiers Carrying out the preprocessing of structured and unstructured data Enhancing data collection procedures to include all relevant information for developing analytic systems Processing, cleansing, and validating the integrity of data to be used for analysis Analyzing large amounts of information to find patterns and solutions Developing prediction systems and machine learning algorithms Presenting results in a clear manner Propose solutions and strategies to tackle business challenges Collaborate with Business and IT teams Data Scientist SkillsYou need to master the skills required for data scientist jobs in various industries and organizations if you want to pursue a data scientist career. Let’s look at the must-have data scientist qualifications. Key skills needed to become a data scientist: Programming Skills – knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage. Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies. Machine Learning – good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests. Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques. Data Wrangling – proficiency in handling imperfections in data is an important aspect of a data scientist job description. Experience with Data Visualization Tools like matplotlib, ggplot, d3.js., Tableau that help to visually encode data Excellent Communication Skills – it is incredibly important to describe findings to a technical and non-technical audience. Strong Software Engineering Background Hands-on experience with data science tools Problem-solving aptitude Analytical mind and great business sense Degree in Computer Science, Engineering or relevant field is preferred Proven Experience as Data Analyst or Data Scientist

You will be responsible for architecting and delivering Automation and AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. Working closely with business stakeholders, you will understand business requirements and design custom AI solutions to address complex challenges. This role offers the opportunity to accelerate AI adoption across the business landscape in the Statistical Applications and Data domain. Your key responsibilities include defining and leading AI use cases in clinical projects from start-up through close-out. This involves tasks such as protocol development, site management, and data review. To excel in this role, you must be a proficient programmer capable of developing AI solutions thoroughly. Additionally, you will be expected to coach and mentor junior AI/ML engineers to enhance and accelerate AI adoption in business processes. Required Technical Skills: - Bachelors degree in a relevant scientific discipline (e.g., Biomedical engineering, Life Sciences, Nursing, Pharmacy) or clinical background (e.g., MD- Doctor of Medicine OR RN - Registered Nurse) - Advanced degree (e.g., Masters or Ph.D.) in Data Science, AI/ML - Overall experience of 10-12 years with a minimum of 5-7 years in clinical research, particularly managing clinical trials in pharmaceutical, biotechnology, or contract research organization (CRO) settings - Minimum of 5-7 years of experience in AI research and development, specifically focusing on healthcare or life sciences applications - Strong understanding of clinical trial regulations and guidelines, including Good Clinical Practice (GCP), International Conference on Harmonization (ICH), and applicable local regulations - Proven track record in designing and delivering AI solutions, emphasizing foundation models, large language models, or similar technologies - Experience in natural language processing (NLP) and text analytics is highly desirable - Proficiency in programming languages such as Python, R, and experience with AI frameworks like TensorFlow, PyTorch, or Hugging Face - Knowledge of libraries such as SciKit Learn, Pandas, Matplotlib, etc. - Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and related services is a plus - Experience working with large datasets, performing data pre-processing, feature engineering, and model evaluation - Proficiency in solution architecture and design, translating business requirements into technical specifications, and developing scalable and robust AI solutions In summary, this role requires a seasoned professional with a strong background in AI, clinical research, and technical expertise to drive innovation and AI adoption in the pharmaceutical domain, particularly in clinical settings.,

Are you passionate about data and coding Do you enjoy working in a fast-paced and dynamic start-up environment If so, we are looking for a talented Python developer to join our team! We are a data consultancy start-up with a global client base, headquartered in London UK, and we are looking for someone to join us full time on-site in our cool Office in Gurugram. Uptitude is a forward-thinking consultancy that specializes in providing exceptional data and business intelligence solutions to clients worldwide. Our team is passionate about empowering businesses with data-driven insights, enabling them to make informed decisions and achieve remarkable results. At Uptitude, we embrace a vibrant and inclusive culture, where innovation, excellence, and collaboration thrive. As a Python Developer at Uptitude, you will be responsible for developing high-quality, scalable, and efficient software solutions. Your primary focus will be on designing and implementing Python-based applications, integrating data sources, and working closely with the data and business intelligence teams. You will have the opportunity to contribute to all stages of the software development life cycle, from concept and design to testing and deployment. In addition to your technical skills, you should be a creative thinker, have effective communication skills, and be comfortable working in a fast-paced and dynamic environment. Requirements: - 3-5 years of experience as a Python Developer or similar role. - Strong proficiency in Python and its core libraries (e.g., Pandas, NumPy, Matplotlib). - Proficiency in web frameworks (e.g., Flask, Django) and RESTful APIs. - Working knowledge of Database technologies (e.g., PostgreS, Redis, RDBMS) and data modeling concepts. - Hands-on experience with advanced excel. - Ability to work with cross-functional teams and communicate complex ideas to non-technical stakeholders. - Awareness of ISO:27001, creative thinker, and problem solver. - Strong attention to detail and ability to work in a fast-paced environment. - Head office based in London, UK, with the role located in Gurugram, India. At Uptitude, we embrace a set of core values that guide our work and define our culture: - Be Awesome: Strive for excellence in everything you do, continuously improving your skills and delivering exceptional results. - Step Up: Take ownership of challenges, be proactive, and seek opportunities to contribute beyond your role. - Make a Difference: Embrace innovation, think creatively, and contribute to the success of our clients and the company. - Have Fun: Foster a positive and enjoyable work environment, celebrating achievements and building strong relationships. Uptitude values its employees and offers a competitive benefits package, including: - Competitive Salary Commensurate With Experience And Qualifications. - Private health insurance coverage. - Offsite trips to encourage team building and knowledge sharing. - Quarterly team outings to unwind and celebrate achievements. - Corporate English Lessons with UK instructor. We are a fast-growing company with a global client base, so this is an excellent opportunity for the right candidate to grow and develop their skills in a dynamic and exciting environment. If you are passionate about coding, have experience with Python, and want to be part of a team that is making a real impact, we want to hear from you!,

As a Data Analyst Intern at our company based in Delhi, you will be responsible for aggregating, cleansing, and analyzing large datasets from various sources. Your role will involve engineering and optimizing complex SQL queries for data extraction, manipulation, and detailed analysis. Additionally, you will develop advanced Python scripts to automate data workflows, transformation processes, and create sophisticated visualizations. You will also be tasked with building dynamic dashboards and analytical reports using Excel's advanced features like Pivot Tables, VLOOKUP, and Power Query. Your key responsibilities include decoding intricate data patterns to extract actionable intelligence that drives strategic decision-making. It is essential to maintain strict data integrity, precision, and security protocols in all analytical outputs. As part of your role, you will design and implement automation frameworks to eliminate redundancies and improve operational efficiency. To excel in this role, you should have a mastery of SQL, including crafting complex queries, optimizing joins, executing advanced aggregations, and efficiently structuring data with Common Table Expressions (CTEs). Proficiency in Python is crucial, with hands-on experience in data-centric libraries such as Pandas, NumPy, Matplotlib, and Seaborn for data analysis and visualization. Advanced Excel skills are also required, encompassing Pivot Tables, Macros, and Power Query to streamline data processing and enhance analytical efficiency. Furthermore, you should possess superior analytical acumen with exceptional problem-solving abilities and the capability to extract meaningful insights from complex datasets. Strong communication and presentation skills are essential to distill intricate data findings into compelling narratives for stakeholder interactions. This position offers opportunities for full-time, permanent, and internship job types. Benefits include paid sick time, paid time off, a day shift schedule, performance bonuses, and yearly bonuses. The work location is in person. If you are looking to apply your analytical skills in a dynamic environment and contribute to strategic decision-making through data analysis, this Data Analyst Intern position could be the perfect fit for you.,

- Collect, organize, clean and preprocess data from various sources, including databases, spreadsheets, and APIs to ensure accuracy and reliability. - Perform exploratory data analysis to identify trends, patterns, and correlations. Required Candidate profile - 4+ years of experience working as Data Analyst or in similar role. - Proficiency in SQL, Python, R or other programming languages used for data analysis. - Experience with data visualization tools

Seeking a highly skilled and analytical Data Scientist / Machine Learning Engineer to join our team. The ideal candidate will have a strong foundation in data science , machine learning , and statistical analysis , with hands-on experience in building scalable models and working with large datasets in cloud-based environments. Key Responsibilities: Design, develop, and deploy machine learning models for real-world applications using Python , scikit-learn , TensorFlow , or PyTorch . Perform data cleaning , wrangling , transformation , and exploratory data analysis (EDA) using pandas and other Python libraries. Apply statistical techniques such as hypothesis testing , regression analysis , ANOVA , and probability theory to derive insights. Implement supervised and unsupervised learning algorithms , conduct feature engineering , model evaluation , and hyperparameter tuning . Develop data visualizations using Matplotlib , Seaborn , or ggplot to communicate findings effectively. Work with big data technologies such as Apache Hadoop , Apache Spark , or distributed databases for large-scale data processing. Write optimized SQL queries and manage relational databases for data extraction and transformation. Contribute to data engineering pipelines , including data integration , warehousing , and architecture design . Utilize cloud platforms like Microsoft Azure , including Azure Machine Learning , for scalable model deployment. Collaborate using version control systems like Git for code management and team coordination. (Optional/Desirable) Experience with YOLO or other deep learning models for object detection. Qualifications: Bachelors or Masters degree in Computer Science , Data Science , Statistics , Engineering , or a related field. 48 years of experience in data science , machine learning , or AI development . Strong programming skills in Python and experience with data science libraries . Solid understanding of statistical methods , machine learning algorithms , and data modeling . Experience with cloud computing , big data tools , and database management . Preferred Skills: Experience with YOLO , OpenCV , or computer vision frameworks. Familiarity with CI/CD pipelines for ML model deployment. Knowledge of MLOps practices and tools. 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.

Role : Data Scientist Experience : 5 years to 8 years Location : Hyderabad, Pune, Bangalore Job Description: Mandatory Skills :Machine Learning, Python Programming Tools Python Pandas NumPy Matplotlib Seaborn Scikit learn SQL complex queries joins CTEs window functions Git Data Analysis Visualization Exploratory Data Analysis EDA trend and correlation analysis hypothesis testing dashboards Power BI Tableau storytelling with data Databases Data Handling SQL Server MySQL basic knowledge of Spark BigQuery Hive is a plus Statistics ML Foundational Descriptive and inferential statistics regression classification clustering KMeans model evaluation metrics accuracy precision recall AUC over fitting under fitting cross validation LLMAI Exposure Familiarity with prompt engineering OpenAI APIs basic usage of GPT models for data text automation awareness of LLM limitations and applications in analytics Soft Skills Strong problem solving ability attention to detail stakeholder communication ability to translate business problems into data solutions Experience Highlights Conducted in depth data analysis to uncover trends patterns and anomalies that informed strategic decisions across product marketing and operations teams Designed and implemented scalable data pipelines and automated data workflows using Python and SQL Developed and maintained analytical models and dashboards to track key business metrics and performance indicators Applied statistical methods and machine learning techniques to solve real world business problems such as forecasting segmentation and performance optimization Collaborated with stakeholders to gather requirements translate business questions into analytical approaches and communicate findings with clarity Explored the use of LLMs eg OpenAI GPT for enhancing internal workflows and accelerating data driven tasks such as querying summarization and content generation

Overview The Visualization & Storytelling (Analytics) Engineer is responsible for transforming complex data into compelling visual narratives that drive decision-making and communicate insights effectively. This role combines expertise in data analytics, visualization tools, and storytelling to create impactful dashboards, reports, and presentations that resonate with diverse stakeholders. Responsibilities Data Visualization Development: Design and develop interactive dashboards, charts, and visualizations using tools like Tableau, Power BI, Looker, or D3.js to present data insights clearly and effectively. Storytelling with Data: Craft data-driven narratives that translate complex analytical findings into actionable insights for technical and non-technical audiences. Data Analysis: Collaborate with data analysts and scientists to extract, clean, and analyze data from various sources to uncover trends, patterns, and insights. Stakeholder Collaboration: Work closely with business units, product managers, and executives to understand requirements, define KPIs, and tailor visualizations to meet their needs. Tool & Technology Integration: Leverage programming languages (e.g., Python, R, SQL) and visualization libraries (e.g., Matplotlib, Seaborn, Plotly) to build custom visualizations and automate workflows. Requirements Tableau, Power BI, Python (matplotlib, seaborn, plotly), flask, streamlit, others. This is a crucial role to make data (not necessarily models) consumable. You could also put the UI elements here or assign those roles to UI development roles in house.

As a key member of our Data Science team, you will be responsible for developing innovative AI ML solutions across diverse business domains This includes designing, implementing, and optimizing advanced analytics models to address complex business challenges and drive data-driven decision making Your core responsibility will be to extract actionable insights from large datasets, develop predictive algorithms, and create robust machine learning pipelines You will collaborate closely with cross-functional teams including business analysts, software engineers, and product managers to understand business requirements, define problem statements, and deliver scalable solutions Additionally, you'll be expected to stay current with emerging technologies and methodologies in the AI/ML landscape to ensure our technical approaches remain cutting-edge and effective Desired Skills and experience Demonstrated expertise in applying advanced statistical modeling, machine learning algorithms, and deep learning techniques. Proficiency in programming languages such as Python data analysis and model development. Proficiency in cloud platforms, such as Azure, Azure Data Factory, Snowflake, Databricks. Experience with data manipulation, cleaning, and preprocessing using pandas, NumPy, or equivalent libraries. Strong knowledge of SQL and experience working with various database systems and big data technologies. Proven track record of developing and deploying machine learning models in production environments. Experience with version control systems (e.g., Git) and collaborative development practices. Proficiency with visualization tools and libraries such as Matplotlib, Seaborn, Tableau, or PowerBI. Strong mathematics background including statistics, probability, linear algebra, and calculus. Excellent communication skills with ability to translate technical concepts to non-technical stakeholders. Experience working in cross-functional teams and managing projects through the full data science lifecycle. Knowledge of ethical considerations in AI development including bias detection and mitigation techniques. Key Responsibilities Analyze complex datasets to extract meaningful insights and patterns using statistical methods and machine learning techniques. Design, develop and implement advanced machine learning models and algorithms to solve business problems and drive data-driven decision making. Perform feature engineering, model selection, and hyperparameter tuning to optimize model performance and accuracy. Create and maintain data processing pipelines for efficient data collection, cleaning, transformation, and integration. Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions. Evaluate model performance using appropriate metrics and validation techniques to ensure reliability and robustness. Present findings, visualizations, and recommendations to stakeholders in clear, accessible formats tailored to technical and non-technical audiences. Stay current with the latest advancements in machine learning, deep learning, and statistical methods through continuous learning and research. Develop proof-of-concept applications to demonstrate the value and feasibility of data science solutions. Implement A/B testing and experimental design methodologies to validate hypotheses and measure the impact of implemented solutions. Document methodologies, procedures, and results thoroughly to ensure reproducibility and knowledge transfer within the organization.

Design, develop, and implement machine learning models, including deep learning, reinforcement learning, and predictive modelling. Leverage frameworks such as TensorFlow, PyTorch, Keras, and scikit-learn for AI/ML development. Work on NLP projects utilizing tools like NLTK, Langchain, and large language models (GPT and LLAMA). Perform data preprocessing, cleaning, and transformation for machine learning pipelines. Conduct data exploration and statistical analysis to derive actionable insights. Utilize tools like Power BI, Tableau, Matplotlib, Plotly, and Seaborn to create interactive dashboards and visualizations. Deliver engaging online and offline training sessions on AI, ML, Deep Learning, and related tools Create course materials, hands-on projects, quizzes, and assignments Guide students on capstone projects and assessments Job Type: Full-time Pay: ₹15,000.00 - ₹25,000.00 per month Education: Bachelor's (Preferred) Experience: total work: 2 years (Preferred) artificial intelligence: 2 years (Preferred) Work Location: In person

Experience Required: 2-5 Years No. of vacancies: 4 Job Type: Full Time Vacancy Role: WFO Job Category: Development Job Description We are seeking a Data Scientist with strong expertise in data analysis, machine learning, and visualization. The ideal candidate should be proficient in Python, Pandas, and Matplotlib, with experience in building and optimizing data-driven models. Some experience in Natural Language Processing (NLP) and Named Entity Recognition (NER) models would be a plus. Roles & Responsibilities Analyze and process large datasets using Python and Pandas. Develop and optimize machine learning models for predictive analytics. Create data visualizations using Matplotlib and Seaborn to support decision-making. Perform data cleaning, feature engineering, and statistical analysis. Work with structured and unstructured data to extract meaningful insights. Implement and fine-tune NER models for specific use cases (if required). Collaborate with cross-functional teams to drive data-driven solutions. Qualifications 2+ years of professional experience Strong proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn, etc.). Experience in data analysis, statistical modeling, and machine learning. Hands-on expertise in data visualization using Matplotlib and Seaborn. Understanding of SQL and database querying. Familiarity with NLP techniques and NER models is a plus. Strong problem-solving and analytical skill Job Type: Full-time Pay: ₹136,159.75 - ₹1,600,000.00 per year Benefits: Flexible schedule Leave encashment Provident Fund Schedule: Day shift Experience: Data science: 2 years (Required) Work Location: In person

For 3–5 Years Experience Please share your updated via anjali.sharma@genicminds.com _ AI/ML Engineer / Data Scientist _ 1. Core Technical Skills Python (NumPy, Pandas, Scikit-learn, Matplotlib/Seaborn, beautifulsoup, selenium) SQL(MySQL/PostgreSQL), Mongo DB, NLP, Computer Vision, RAG, Vector DBs, LLMs, Agentic AI, Neural Network, RNN, CNN, LSTMs, web scraping. ML algorithms: regression, decision trees, random forests, XGBoost, SVM, KMeans, DBSCAN, etc. Model evaluation: cross-validation, precision/recall, ROC-AUC, confusion matrix 2. AI/ML Frameworks Scikit-learn, TensorFlow or PyTorch Keras Familiar with pre-trained models (e.g., BERT, ResNet, Stable Diffusion) and transfer learning 3. Practical Experience Building and deploying end-to-end ML pipeline Experience with REST APIs or Flask/FastAPI-based model deployment Version control with Git 4. Data Handling Data preprocessing, feature engineering Experience with structured, semi-structured data and unstructured data Data visualization (Power BI, Tableau, or Python libs) 5. Cloud & DevOps Basics Working knowledge of AWS/GCP/Azure (S3, Lambda, SageMaker or equivalent) Docker CI/CD understanding 6. Soft Skills Good documentation practices Able to explain ML models to non-tech stakeholders Cross-functional collaboration experience Job Types: Full-time, Permanent Schedule: Day shift Work Location: In person

For 3–5 Years Experience – Mid-Level AI/ML Engineer / Data Scientist 1. Core Technical Skills Python (NumPy, Pandas, Scikit-learn, Matplotlib/Seaborn, beautifulsoup, selenium) SQL(MySQL/PostgreSQL), Mongo DB, NLP, Computer Vision, RAG, Vector DBs, LLMs, Agentic AI, Neural Network, RNN, CNN, LSTMs, web scraping. ML algorithms: regression, decision trees, random forests, XGBoost, SVM, KMeans, DBSCAN, etc. Model evaluation: cross-validation, precision/recall, ROC-AUC, confusion matrix 2. AI/ML Frameworks Scikit-learn, TensorFlow or PyTorch Keras Familiar with pre-trained models (e.g., BERT, ResNet, Stable Diffusion) and transfer learning 3. Practical Experience Building and deploying end-to-end ML pipelines Experience with REST APIs or Flask/FastAPI-based model deployment Version control with Git 4. Data Handling Data preprocessing, feature engineering Experience with structured, semi-structured data and unstructured data Data visualization (Power BI, Tableau, or Python libs) 5. Cloud & DevOps Basics Working knowledge of AWS/GCP/Azure (S3, Lambda, SageMaker or equivalent) Docker CI/CD understanding 6. Soft Skills Good documentation practices Able to explain ML models to non-tech stakeholders Cross-functional collaboration experience Job Types: Full-time, Permanent Pay: ₹450,000.00 - ₹650,000.00 per year Work Location: In person