1437 Matplotlib Jobs - Page 20

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

Company Description Webskitters Technology Solutions Pvt. Ltd. is a globally-renowned company that delivers top-notch Web and Mobile App Design, Development, Digital Marketing, Artificial Intelligence, and Internet of Things services. The company operates from offices in the USA, UK, and India, providing innovative solutions to clients worldwide. Job Title: Data Science Trainer Location: Salt Lake, Kolkata Job Type: Full time Experience Required: 2–5+ years in Data Science / Analytics Trainer Industry: Education & Training / IT Services / EdTech Job Summary: We are looking for an experienced and passionate Data Science Trainer to deliver engaging and effective training sessions to students and professionals. The ideal candidate will have strong expertise in Python, Machine Learning, and Data Analysis, and a passion for teaching and mentoring. Key Responsibilities: Conduct interactive training sessions on Data Science, Machine Learning, and related topics. Design and update course materials, projects, and assessments aligned with current industry standards. Teach concepts including statistics, Python programming, data visualization, supervised/unsupervised learning, and model deployment. Guide learners on hands-on projects and capstone assignments. Monitor learner progress and provide personalized feedback and support. Keep curriculum and content updated with the latest technologies and practices in the field. Conduct doubt-clearing sessions, code reviews, and interview preparation. Support learners with resume building, portfolio preparation, and mock interviews (if applicable). Skills and Qualifications: Strong foundation in Python, NumPy, Pandas, Matplotlib, Seaborn , etc. Experience with Machine Learning libraries (Scikit-learn, XGBoost) and frameworks. Knowledge of SQL , Statistics , and Data Wrangling techniques. Familiarity with Deep Learning (TensorFlow/Keras/PyTorch) is a plus. Experience using Jupyter Notebooks , Git/GitHub. Proficiency in tools like Power BI or Tableau is a plus. Excellent communication and presentation skills. Prior experience in teaching/training/mentoring is highly preferred. Preferred Qualifications: Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, or a related field. Certifications in Data Science/ML (Coursera, IBM, edX, etc.). Experience in delivering sessions to diverse learner groups (freshers, working professionals). Familiarity with cloud platforms (AWS, GCP, Azure) for model deployment is a bonus. If you are passionate about teaching and have the skills we're looking for, please share your updated CV at hr18@webskitters.com with the subject line: "Application for Data Science Trainer".

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

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

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

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

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

We are looking for a Credit Risk Reporting and Impairment Insights Analyst to support risk reporting, monitoring, and insights generation. The ideal candidate will have 3-6 years of experience in the Credit Risk domain , with strong expertise in Python and data analytics . This role requires working with large datasets, developing reports, and providing meaningful risk insights to support decision-making. Key Responsibilities Develop, automate, and maintain credit risk reports and dashboards using Python and visualization tools. Analyze credit risk metrics, portfolio trends, and key risk indicators to generate actionable insights. Extract, clean, and process large datasets from various risk data sources. Collaborate with risk teams to improve existing risk monitoring frameworks and enhance reporting automation. Ensure data accuracy, integrity, and compliance with risk governance standards. Work closely with business stakeholders to provide deep dives into portfolio performance and risk trends. Required Skills & Experience: 3-6 years of experience in credit risk analytics, reporting, or risk monitoring. Hands-on expertise in Python (Pandas, NumPy, SQLAlchemy, etc.) for data manipulation and reporting. Experience with SQL for querying large datasets. Strong understanding of credit risk concepts, including delinquency, PD/LGD, and portfolio performance monitoring. Exposure to risk reporting frameworks and regulatory requirements (Basel, IFRS9, CCAR, etc.) is a plus. Experience with data visualization tools (Power BI, Tableau, Matplotlib, Seaborn) for reporting and insights generation. Strong problem-solving skills and ability to communicate risk insights to stakeholders. Prior experience in automating reports and processes to improve efficiency. Preferred Qualifications: Experience with cloud-based data platforms (AWS, GCP, or Azure) is a plus. Knowledge of credit bureau data and loan portfolio analysis. Familiarity with SAS or R (optional but beneficial). Why Join Us? Opportunity to work on impactful credit risk reporting and analytics. Exposure to advanced risk management frameworks and data-driven decision-making. Collaborative work environment with opportunities for growth and upskilling.

Job Title: Data Science Trainer Location: Ducat India – [Delhi & Noida] Job Type: Full-Time Experience Required: Minimum 3+ Years in Training or Industry Projects About Ducat India: Ducat India, a leading name in IT training and development, has been shaping tech professionals for over two decades. With 9 branches across the NCR including Noida, New Delhi, Gurugram, Faridabad, and Noida Extension, we offer cutting-edge training in the latest technologies. To know more, visit: www.ducatindia.com Job Description: We are looking for a passionate and experienced Data Science Trainer to deliver high-quality training sessions and workshops. The ideal candidate should have deep knowledge of data science concepts and practical experience in machine learning, artificial intelligence and associated technologies. Key Responsibilities: Conduct training sessions on Data Science, Machine Learning, Deep Learning, Gen AI, Python and AI Tools . Design and deliver engaging training content, assessments and projects. Guide students on capstone projects and industry-based use cases. Keep updated with the latest trends and advancements in the data and AI ecosystem. Evaluate students’ performance and provide constructive feedback. Collaborate with internal team for curriculum development and improvements. Required Skillsets: Strong expertise in Python programming Hands-on experience with Data Science libraries (Pandas, NumPy, Matplotlib, etc.) Proficient in Machine Learning algorithms & model building Knowledge of Deep Learning frameworks Experience with Gen AI tools like OpenAI, LLMs, ChatGPT, LangChain, etc. Understanding of AI concepts, NLP, CV, and deployment techniques Good presentation and communication skills Prior teaching or mentoring experience is preferred Qualifications: Bachelor’s/Master’s degree in Computer Science, Data Science, Engineering or a related field Professional certifications in AI/ML/Data Science will be a plus Perks & Benefits: Exposure to real-time projects and tools Opportunity to train aspiring professionals and freshers Flexible working options (for part-time/freelancers) Dynamic and growth-driven environment How to Apply: Interested candidates can contact at +91-9205783661 OR share their resume at hr@ducatindia.com with subject line: “Application for Data Science Trainer ” . Job Type: Full-time Pay: ₹300,000.00 - ₹600,000.00 per year Schedule: Day shift Experience: Training: 1 year (Required) Work Location: In person

Looking for a skilled and analytical Data Analyst with strong expertise in data modeling, data analysis, and Python programming. The ideal candidate will be responsible for designing data models, performing in-depth analysis, and building automated solutions to support business decision-making and reporting. Key Responsibilities: Design and implement conceptual, logical, and physical data models to support analytics and reporting. Analyze large datasets to identify trends, patterns, and insights that drive business decisions. Develop and maintain Python scripts for data extraction, transformation, and analysis. Collaborate with data engineers, business analysts, and stakeholders to understand data requirements. Create dashboards, reports, and visualizations to communicate findings effectively. Ensure data quality, consistency, and integrity across systems. Document data definitions, models, and analysis processes. Required Skills & Qualifications: Strong experience in data modeling (ER diagrams, normalization, dimensional modeling). Proficiency in Python for data analysis (Pandas, NumPy, Matplotlib, etc.). Solid understanding of SQL and relational databases. Experience with data visualization tools (e.g., Power BI, Tableau, or matplotlib/seaborn). Ability to translate business requirements into technical solutions. Excellent analytical, problem-solving, and communication skills. About Virtusa Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us. Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence. Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Position: Senior Data Scientist / Data Analyst (Noida) (CE58SF RM 3385) Education Required: Bachelor’s / Masters / PhD: Bachelor’s degree in Computer Science, Data Science, or a related field. Strong understanding of machine learning , deep learning and Generative AI concepts. Must have skills: Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack, NLP using python Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex). Experience with cloud infrastructure for AI/Generative AI/ML on AWS, Azure. Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data – including indexing, search, and advance retrieval patterns. Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Good to have: Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios. Job Description: Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. ******************************************************************************************************************************************* Job Category: Embedded HW_SW Job Type: Full Time Job Location: Noida Experience: 5 - 8 Years Notice period: 0-15 days

Looking for a skilled and analytical Data Analyst with strong expertise in data modeling, data analysis, and Python programming. The ideal candidate will be responsible for designing data models, performing in-depth analysis, and building automated solutions to support business decision-making and reporting. Key Responsibilities: Design and implement conceptual, logical, and physical data models to support analytics and reporting. Analyze large datasets to identify trends, patterns, and insights that drive business decisions. Develop and maintain Python scripts for data extraction, transformation, and analysis. Collaborate with data engineers, business analysts, and stakeholders to understand data requirements. Create dashboards, reports, and visualizations to communicate findings effectively. Ensure data quality, consistency, and integrity across systems. Document data definitions, models, and analysis processes. Required Skills & Qualifications: Strong experience in data modeling (ER diagrams, normalization, dimensional modeling). Proficiency in Python for data analysis (Pandas, NumPy, Matplotlib, etc.). Solid understanding of SQL and relational databases. Experience with data visualization tools (e.g., Power BI, Tableau, or matplotlib/seaborn). Ability to translate business requirements into technical solutions. Excellent analytical, problem-solving, and communication skills About Virtusa Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us. Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence. Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Looking for a skilled and analytical Data Analyst with strong expertise in data modeling, data analysis, and Python programming. The ideal candidate will be responsible for designing data models, performing in-depth analysis, and building automated solutions to support business decision-making and reporting. Key Responsibilities: Design and implement conceptual, logical, and physical data models to support analytics and reporting. Analyze large datasets to identify trends, patterns, and insights that drive business decisions. Develop and maintain Python scripts for data extraction, transformation, and analysis. Collaborate with data engineers, business analysts, and stakeholders to understand data requirements. Create dashboards, reports, and visualizations to communicate findings effectively. Ensure data quality, consistency, and integrity across systems. Document data definitions, models, and analysis processes. Required Skills & Qualifications: Strong experience in data modeling (ER diagrams, normalization, dimensional modeling). Proficiency in Python for data analysis (Pandas, NumPy, Matplotlib, etc.). Solid understanding of SQL and relational databases. Experience with data visualization tools (e.g., Power BI, Tableau, or matplotlib/seaborn). Ability to translate business requirements into technical solutions. Excellent analytical, problem-solving, and communication skills About Virtusa Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us. Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence. Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Education AI / ML Engineer - Required Skills & Qualifications: Bachelor’s or Master’s in Computer Science, Engineering, Data Science, AI/ML, Mathematics, or related field Technical Skills Proficient in Python and ML libraries: scikit-learn, XGBoost, pandas, NumPy, matplotlib, seaborn, etc. Strong understanding of machine learning algorithms and deep learning architectures (CNNs, RNNs, Transformers, etc.) Hands-on with TensorFlow , PyTorch , or Keras Experience in data preprocessing , feature selection , EDA , and model interpretability Comfortable with API development and deploying models using Flask, FastAPI, or similar Experience with MLOps tools like MLflow , Kubeflow , DVC , Airflow , etc. Familiarity with cloud platforms like AWS (SageMaker, S3, Lambda), GCP (Vertex AI), or Azure ML Strong understanding of version control (Git), CI/CD, and containerization (Docker) Bonus Skills (Good To Have) NLP frameworks (e.g., spaCy, NLTK, Hugging Face Transformers) Computer Vision experience using OpenCV or YOLO/Detectron Knowledge of Reinforcement Learning or Generative AI (GANs, LLMs) Experience with vector databases (e.g., Pinecone, Weaviate) and LangChain for AI agent building Familiarity with data labeling platforms and annotation workflows Soft Skills Analytical mindset with problem-solving skills Strong communication and collaboration abilities Ability to work independently in a fast-paced, agile environment Passion for AI/ML and eagerness to stay updated with the latest developments Skills: fastapi,pandas,ml libraries,pinecone,docker,langchain,matplotlib,yolo,numpy,yolo/detectron,nltk,machine learning,spacy,vertex ai,feature selection,lambda,gans,tensorflow,airflow,weaviate,data labeling,nlp frameworks,seaborn,python,git,ai,cnns,xgboost,model interpretability,deep learning architectures,dvc,generative ai,opencv,s3,detectron,aws,data preprocessing,api development,ci/cd,gcp,scikit-learn,transformers,vector databases,mlops tools,mlflow,sagemaker,machine learning algorithms,hugging face transformers,kubeflow,eda,annotation workflows,llms,containerization,reinforcement learning,ml,pytorch,flask,rnns,azure ml,keras

Job Title: Data Science Trainer Location: Ducat India – [Delhi & Noida] Job Type: Full-Time Experience Required: Minimum 3+ Years in Training or Industry Projects About Ducat India: Ducat India, a leading name in IT training and development, has been shaping tech professionals for over two decades. With 9 branches across the NCR including Noida, New Delhi, Gurugram, Faridabad, and Noida Extension, we offer cutting-edge training in the latest technologies. To know more, visit: www.ducatindia.com Job Description: We are looking for a passionate and experienced Data Science Trainer to deliver high-quality training sessions and workshops. The ideal candidate should have deep knowledge of data science concepts and practical experience in machine learning, artificial intelligence and associated technologies. Key Responsibilities: Conduct training sessions on Data Science, Machine Learning, Deep Learning, Gen AI, Python and AI Tools . Design and deliver engaging training content, assessments and projects. Guide students on capstone projects and industry-based use cases. Keep updated with the latest trends and advancements in the data and AI ecosystem. Evaluate students’ performance and provide constructive feedback. Collaborate with internal team for curriculum development and improvements. Required Skillsets: Strong expertise in Python programming Hands-on experience with Data Science libraries (Pandas, NumPy, Matplotlib, etc.) Proficient in Machine Learning algorithms & model building Knowledge of Deep Learning frameworks Experience with Gen AI tools like OpenAI, LLMs, ChatGPT, LangChain, etc. Understanding of AI concepts, NLP, CV, and deployment techniques Good presentation and communication skills Prior teaching or mentoring experience is preferred Qualifications: Bachelor’s/Master’s degree in Computer Science, Data Science, Engineering or a related field Professional certifications in AI/ML/Data Science will be a plus Perks & Benefits: Exposure to real-time projects and tools Opportunity to train aspiring professionals and freshers Flexible working options (for part-time/freelancers) Dynamic and growth-driven environment How to Apply: Interested candidates can contact at +91-9205783661 OR share their resume at hr@ducatindia.com with subject line: “Application for Data Science Trainer ” . Job Type: Full-time Pay: ₹300,000.00 - ₹600,000.00 per year Schedule: Day shift Experience: Training: 1 year (Required) Work Location: In person

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities: -Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals. -Conducting 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 our products and services. -Optimizing existing generative AI models for improved performance, scalability, and efficiency. -Ensure data quality and accuracy -Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models. -Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models. -Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers -Experience working with cloud based platforms (example: AWS, Azure or related) -Strong problem-solving and analytical skills -Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI -Prior statistical modelling experience -Demonstrable experience with deep learning algorithms and neural networks -Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. -Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills: -Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. -Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras. -Must have strong knowledge of data structures, algorithms, and software engineering principles. -Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure. -Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face. -Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly. -Need to have knowledge of software development methodologies, such as Agile or Scrum. -Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information: -Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable. -strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. -You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment., 15 years full time education

DataLEADS is a strong and growing team that is driven by passion, creativity and collaboration. We value individuals with unique interests, experiences and who think differently. We’re committed to equal opportunities and creating an inclusive environment for all our team members. POSITION: ANALYST (DATA & ML) About the role: DataLEADS is seeking a highly motivated Data Analyst to join our dynamic, cross-functional team working at the intersection of media, technology, and public good. You’ll be responsible for managing data pipelines, building internal tools and dashboards, and supporting the deployment of AI/ML-powered workflows — especially for public health, digital media, and development-focused use cases. This role is ideal for someone with a strong technical foundation (Python, SQL, scripting) and an interest in automation, generative AI , and data-for-impact storytelling. Nature of Role Full time, from our office location in New Delhi Joining Immediate Requirements: Bachelor’s degree in Computer Science, Statistics, Engineering, Mathematics, or related technical field. Proficiency in Python, especially with libraries like pandas and requests; basic visualization using matplotlib or plotly Good command of SQL, including joins and common table expressions; familiarity with BigQuery or similar databases Basic JavaScript or Google Apps Script skills to support workflow automation Strong skills in Google Sheets or Excel (pivot tables, array formulas, basic macros) Exposure to using APIs (e.g., OpenAI, Claude) for prototyping or automation tasks Demonstrated interest in learning emerging tools in AI, automation, and data analysis Nice-to-Have Skills: Familiarity with tools like LangChain, Chroma, or vector search systems Basic experience building simple dashboards using Streamlit or Flask Exposure to data scraping or data collection using Python Understanding of or interest in working with data in areas like public health, misinformation, or digital media Key Responsibilities: Clean, transform, and enrich datasets using SQL and Google Sheets; maintain data views and internal dashboards Build and maintain automations using Google Apps Script, Zapier, and other no-code/low-code tools Write Python and JavaScript utilities to automate recurring tasks and retrieve external data Assist in prototyping AI/LLM-powered tools for tasks like annotation, summarization, and reporting — with support and supervision Create basic visualizations using Plotly or Matplotlib for internal and external stakeholders Document workflows, assumptions, and data logic clearly for team knowledge sharing What We Offer: At DataLEADS, you’ll have the opportunity to work on high-impact, real-world challenges , collaborate with an interdisciplinary team of technologists, journalists, and researchers, and gain hands-on exposure to cutting-edge tech interventions and frameworks . We offer a learning-focused, inclusive environment that encourages experimentation and growth. How to Apply: Send your CV, cover letter and links to portfolio (if available) to jobs@dataleads.co.in with the subject line: “Application: Data Analyst – [Your Name]” About DataLEADS: DataLEADS is a globally recognised digital media and tech company aimed to help people understand and engage with the world around them. We work on the complexity of a dynamic and evolving information ecosystem. Our work includes data intelligence, fact-checking initiatives, media and information literacy interventions, curriculum development, designing public policy interventions, media research, social listening and digital transformation. At the core of our work lies a profound belief that authentic information is central to human empowerment.

Date Posted: 2025-07-09 Country: India Location: North Gate Business Park Sy.No 2/1, and Sy.No 2/2, KIAL Road, Venkatala Village, Chowdeshwari Layout, Yelahanka, Bangalore, Karnataka 560064 Position Role Type: Unspecified Who we are: At Pratt & Whitney, we believe that powered flight has transformed – and will continue to transform – the world. That’s why we work with an explorer’s heart and a perfectionist’s grit to design, build, and service the world’s Military Engines most advanced aircraft engines. We do this across different portfolios – including Commercial Engines, Business Aviation, General Aviation, Regional Aviation, and Helicopter Aviation – and as a way of turning possibilities into realities for our customers. This is how we at Pratt & Whitney approach our work, and this is why we are inspired to go beyond. Job Description: The Engine Diagnostics, Prognostics and Health Management team (DPHM) is dedicated to providing end to end solutions to improve aircraft reliability while reducing operating costs. The selected candidate will generate/implement algorithms that monitor automatically monitor critical flight parameters, alert for anomalies, and provide visibility to events or exceedances. This helps the operator to make informed decisions about preventive maintenance, thereby reducing unscheduled maintenance, lowering operating costs, and increasing aircraft availability. DPHM’s advanced diagnostic solutions provides true value-added benefits that enable the operator to determine the best time to undertake maintenance on the engine and airframe. This can minimize costs by allowing for component repair instead of replacement and maximize engine time on wing. Essential Duties/Tasks of Position: Support development of advanced engine performance condition trend monitoring algorithms Analyze steady state and transient engine trend data in support of engineering studies Support QCPC & field investigations related to turbine engine Performance, Operability, Control, and Mechanical subsystems Perform performance deterioration studies of engines operating in service Develop and implement scripts, algorithms, machine learning, data clustering and fault classification techniques within a relational database structure to manage, aggregate, and search data in support of advanced diagnostics and prognostics. Implement and maintain analytic dashboards and Power BI solutions Required qualification and skills: Bachelor/Master of Science in Aerospace or Mechanical Engineering with 2-5 years of engineering experience required in field of aviation. Experience in turbomachinery performance modeling (i.e., SOAPP, FAST, NPSS, etc.) Experience supporting turbomachinery testing, data collection and/or data reduction Knowledgeable of Six Sigma Statistical Process Control methods Strong computer programming skills using the languages Python, R, C++, and/or C# (SSIS) Familiar with data visualization techniques using (i.e., Matplotlib, HighCharts and/or PowerBI) Proficient in MS SQL, MySQL and/or PostgreSQL Proficient in MS Office, especially in Excel Good oral and written communication skills Beneficial Skills: Experience specifically with Turboprop/Turboshaft engine performance characteristics Knowledge of DataBricks Knowledge ow AWS and related services What we offer Long-term deferred compensation programs Daycare for young children Advancement programs to enhance education skills Flexible work schedules Leadership and training programs Comprehensive benefits, savings, and pension plans Financial support for parental leave Reward programs for outstanding work RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law. Privacy Policy and Terms: Click on this link to read the Policy and Terms

Position Overview We are seeking a passionate and motivated Data Science Intern to join our team. This role offers an exciting opportunity to work on real-world projects involving machine learning and deep learning concepts, and contribute to impactful data-driven solutions. You will collaborate with a team of experienced data scientists and engineers to analyse complex datasets and develop predictive models. Key Responsibilities Assist in collecting, cleaning, and preprocessing data for analysis. Design, implement, and evaluate machine learning and deep learning models to solve business challenges. Conduct exploratory data analysis (EDA) to uncover insights and trends. Develop and optimize predictive models using libraries such as Scikit-learn, TensorFlow, or PyTorch. Collaborate with the team to deploy machine learning solutions into production environments. Research and experiment with new algorithms and techniques to improve model accuracy and efficiency. Generate clear and concise reports and visualizations to communicate findings. Stay updated on the latest advancements in data science, machine learning, and AI. Required Qualifications Currently pursuing or recently completed a degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Strong understanding of machine learning concepts such as supervised and unsupervised learning, feature engineering, and model evaluation metrics. Basic knowledge of deep learning architectures like CNNs, RNNs, or transformers. Proficiency in programming languages such as Python or R. Familiarity with data science tools and frameworks like NumPy, Pandas, Matplotlib, and Seaborn. Understanding of databases and experience with SQL for data extraction. Preferred Skills Experience with deep learning frameworks such as TensorFlow, Keras, or PyTorch. Knowledge of cloud platforms like AWS, GCP, or Azure for machine learning workflows. Understanding of natural language processing (NLP) or computer vision techniques. Strong problem-solving skills and a passion for learning new technologies. Excellent communication skills and the ability to work in a collaborative environment. What We Offer Hands-on experience in developing and deploying machine learning models. Mentorship from industry experts in data science and AI. Opportunity to work on impactful projects with real-world applications. A collaborative and inclusive workplace culture. Potential for a full-time position based on performance.

Organization And Background Established in 1996, Esri India Technologies Pvt. Ltd. (Esri India), the market leader in geographic information system (GIS) software, location intelligence, and mapping solutions in India, helps customers unlock the maximum potential of their data to improve operational and business decisions. It has delivered pioneering enterprise GIS technology, powered by ArcGIS, to more than 6,500 organizations in government, private sector, academia, and non-profit sectors. The company has also introduced Indo ArcGIS, a unique GIS solution & data offering suited for government organizations. Esri India collaborates with a rich ecosystem of partner organizations to deliver GIS and location intelligence-based solutions. Headquartered in Noida (Delhi NCR), the company has 1 million users in the country and has got Great Place to Work Certified in 2021, 2022, and 2023. Website : overview : Responsibilities This position will work closely with customer to understand their needs to develop and deliver models for India specific GeoAI use cases. He/she will be responsible for conceptualizing and developing solutions using ESRI products. Additionally, the role demands representing the organization at conferences and forums, showcasing expertise and promoting ESRI solutions. Should be capable of working independently, exhibiting strong problem-solving skills, and effectively communicating complex geospatial concepts to diverse & Responsibilities : Consult closely with customers to understand their needs. Develop and pitch data science solutions by mapping business problems to machine learning or advanced analytics approaches. Build high-quality analytics systems that solve our customers business problems using techniques from data mining, statistics and machine learning. Write clean, collaborative and version-controlled code to process big data and streaming data from a variety of sources and types. Perform feature engineering, model selection and hyperparameter optimization to yield high predictive accuracy and deploy the model to production in a cloud, on-premises or hybrid environment. Implement best practices and patterns for geospatial machine learning and develop reusable technical components for demonstrations and rapid prototyping. Integrate ArcGIS with popular deep learning libraries such as PyTorch. Keep up to date with the latest technology trends in machine and deep learning and incorporate them in project delivery. Support in estimation and feasibility for various skillset : 2+ years of practical machine learning experience or applicable academic/lab work Proven data science and AI skills with Python, PyTorch and Jupyter Notebooks Experience in building and optimizing supervised and unsupervised machine learning models including deep learning and various other modern data science techniques Expertise in one or more of the following areas : Traditional and deep learning-based computer vision techniques with the ability to develop deep learning models for computer vision tasks (image classification, object detection, semantic and instance segmentation, GANs, super-resolution, image inpainting, and more) Convolutional neural networks such as VGG, ResNet, Faster R-CNN, Mask R-CNN, and others Transformer models applied to computer vision Expertise in 3D deep learning with Point Clouds, meshes, or Voxels with the ability to develop 3D geospatial deep learning models, such as PointCNN, MeshCNN, and more A fundamental understanding of mathematical and machine learning concepts such as calculus, back propagation, ReLU, Bayes theorem, Random Forests, time series analysis, etc Experience with applied statistics concept. Ability to perform data extraction, transformation, loading from multiple sources and sinks Experience in data visualization in Jupyter Notebooks using matplotlib and other libraries Experience with hyperparameter-tuning and training models to a high level of accuracy Experience in LLMs is preferred. Self-motivated, life-long skills : Master's degree in RS, GIS, Geoinformatics, or a related field with knowledge of RS & GIS Knowledge and experience of ESRI products like ArcGIS Pro, ArcGIS Online, ArcGIS Enterprise, etc Experience with Image analysis and Image processing techniques in SAR, Multispectral and Hyperspectral imagery. Strong communication skills, including to non-technical audiences Should have strong Python coding skills. Should be open to travel and ready to work at client side (India) (ref:hirist.tech)

Mandatory Skills Languages : SQL T-SQL PL/SQL Python Libraries : PySpark, Pandas, NumPy, Matplotlib, Seaborn Databases SQL Server Azure Synapse Additional Technologies Unix Shell Scripting Oracle PostgreSQL Tech Stack Evaluation Table Skill Experience (Years) Self-Rating (out of 10) T-SQL PL/SQL Python (Data Libraries) SQL Server Synapse Unix Oracle PostgreSQL (This table must be filled accurately by candidates in the CV) Roles & Responsibilities Develop and optimize PL/SQL procedures, functions, and packages. Work with SQL Server and Synapse to build and maintain scalable database solutions. Collaborate on EOD reporting tasks using T-SQL, PL/SQL, and Python libraries. Analyze data sets using PySpark, Pandas, and visualization libraries like Matplotlib and Seaborn. Perform performance tuning and query optimization. Manage and debug Unix scripts and schedule data batch processes. Ensure seamless integration across SQL Server, Oracle, PostgreSQL, and Synapse environments. Interact with international stakeholders and India-based teams strong English communication is mandatory. Qualifications Bachelors/Masters in Computer Science, IT, or equivalent. Solid hands-on experience in PL/SQL and SQL-based data solutions. Proven exposure to Python for data handling and cloud analytics. Must have worked on real-time projectsskills listed must appear in the project section of the CV. (ref:hirist.tech)

Job Description We are seeking a talented Python and SQL Developer with 2 - 3 years of experience to join our team. As a Python and SQL Developer, you will be responsible for designing, developing, and maintaining data-driven applications and solutions. You will work closely with cross-functional teams to deliver high-quality software products that meet the clients needs. Responsibilities Design, develop, and maintain Python-based applications that interact with SQL databases. Write efficient and optimized SQL queries, stored procedures, and functions to retrieve, manipulate, and analyze data. Design and implement scalable solutions leveraging cloud technologies Perform data validation, cleansing, and transformation to ensure data integrity and accuracy. Understanding of the threading limitations of Python, and multi-process architecture Work with version control systems such as Git for code management and collaboration. Conduct code reviews, testing, debugging, and troubleshooting to ensure the reliability and performance of applications. Develop data visualization tools and reports to present insights and findings to stakeholders. Requirements Bachelor's degree in Computer Science, Engineering, or a related field. Hands-on experience in Python development and SQL database management. Proficiency in writing complex SQL queries, including joins, subqueries, and aggregations. Strong understanding of Python programming concepts, data structures, and algorithms. Experience with Python frameworks such as Django, Flask etc . Familiarity with database systems such as PostgreSQL, MySQL, or SQL Server. Knowledge of data visualization tools and libraries such as Matplotlib, Plotly etc. Excellent problem-solving, analytical, and communication skills. Ability to work effectively in a collaborative team environment. Collaboration with data engineers and analysts to design and implement data models and ETL processes is a plus. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) is a plus.

Job Title: Marketing Data Analyst Location: Bengaluru (In-Office) Experience: 2-6 Years CTC: Upto 18 LPA Key Responsibilities: Analyze performance metrics across digital marketing platforms (Meta Ads, Google Ads, Bing, etc.) Build and maintain automated dashboards using SQL, Python, and Google Sheets Monitor KPIs such as CAC, ROAS, CTR, CPI, and suggest optimizations Collaborate with performance marketing, creative, and product teams to improve campaigns Design and execute A/B tests, audience segmentation, and extract actionable insights Assist with attribution modeling and spend forecasting Lead weekly and monthly performance reporting for leadership Required Skills & Qualifications: Proficiency in digital marketing platforms (Meta Ads, Google Ads, UAC, YouTube, DV360) Hands-on experience with Mobile Measurement Partners (AppsFlyer, Branch, etc.) and Firebase/GA4 Knowledge of acquisition funnels, retention cohorts, and attribution models Working knowledge of SQL (BigQuery, MySQL) Basic Python for data automation and visualization (Pandas, Matplotlib preferred) Advanced Google Sheets skills (formulas, pivots; App Script is a plus) Strong communication and ability to work cross-functionally Bonus: Familiarity with BI tools (Looker Studio, Tableau) and marketing APIs (Google Ads API, Meta Ads API)

About us: izmocars / izmocars.com is a global leader in SaaS-based digital retail solutions for the automotive industry. Our product portfolio includes advanced platforms for Digital Automotive Retail, CRM, Parts Management, and CGI/VR experiences. Designed for flexibility and customization, our solutions are trusted by some of the largest automotive brands and dealer groups worldwide. Job Description: We are seeking a skilled and passionate Software Engineer (Python) to join our team. The ideal candidate will have a strong background in developing accessible, high-performance web applications with an emphasis on modern back-end practices and technologies. Experience Level: Minimum 3.5 -5 Years Key Responsibilities: Design, develop, and optimize Python-based applications and scripts to automate data processing for automotive dealership systems. Collaborate with data engineers and analysts to implement scalable ETL workflows and reports using Python. Build and maintain APIs, and backend components to support data-driven applications. Integrate third-party libraries and tools (e.g., Pandas, NumPy, Flask or FastAPI, SQLAlchemy, MongoClient) for efficient data access, transformation, and reporting. Ensure code quality through testing frameworks, version control, and adherence to best development practices. Contribute to continuous improvement efforts by analyzing performance bottlenecks and optimizing Python codebase. Skills Required: Bachelors degree in technology, Computer Science, Information Systems, or related technical discipline, or equivalent experience/training. Proficient in Python programming with a strong understanding of object-oriented design and functional programming principles. Experience with Python libraries such as Pandas, NumPy, SQLAlchemy, and web frameworks like Flask or FastAPI. Solid understanding of data structures, algorithms, and design patterns. Familiarity with relational databases and proficiency in SQL for data manipulation. Knowledge of Mongo DB, AWS Cloud, Docker given is an additional advantage. Knowledge of Angular JS is preferrable. Strong debugging and problem-solving skills with a detail-oriented mindset. Good communication skills for technical documentation and cross-functional collaboration.

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting Global Network Practice :- Marketing Analytics Title :- Data Science Manager Job location :- Gurgaon About S&C - Global Network :- Accenture Applied Intelligence practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHATS IN IT FOR YOU As part of our Analytics practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically-informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Accenture will continually invest in your learning and growth. You'll work with MMM experts, and Accenture will support you in growing your own tech stack and certifications In Applied intelligence you will understands the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative. What you would do in this role Working through the phases of project Define data requirements for creating a model and understand the business problem Clean, aggregate, analyze, interpret data and carry out quality analysis of it 5+ years of advanced experience of Market Mix Modeling and related concepts of optimizing promotional channels and budget allocation Experience in working with non linear optimization techniques. Proficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, Clustering Hands on experience in python data-science and math packages such as NumPy , Pandas, Sklearn, Seaborne, Pycaret, Matplotlib Development of AI/ML models Develop and Manage data pipelines Develop and Manage Data within different layers of Azure/ Snowflake Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling marketing mix models. Working knowledge of MMM optimizer and its intricacies Awareness of MMM application development and backend engine integration will be preferred Working along with the team and consultant/manager Well versed with creating insights presentations and client ready decks. Should be able to mentor and guide a team of 10-15 people under him/her Manage client relationships and expectations, and communicate insights and recommendations effectively Capability building and thought leadership Logical Thinking Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Task Management Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track and report progress Qualification Who we are looking for 5+ years of work experience in consulting/analytics with reputed organization is desirable. Master degree in Statistics/Econometrics/ Economics or B Tech/M Tech or Masters/M Tech in Computer Science or M.Phil/Ph.D in statistics/econometrics or related field from reputed college Must have knowledge of SQL and Python language and at-least one cloud-based technologies (Azure, AWS, GCP) Must have good knowledge of Market mix modeling techniques and optimization algorithms and applicability to industry data Must have data migration experience from cloud to snowflake (Azure, GCP, AWS) Managing sets of XML, JSON, and CSV from disparate sources. Manage documentation of data models, architecture, and maintenance processes Have an understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and statistical packages such as R, Python, Java, SQL, Spark etc. Working knowledge in Machine Learning algorithms like Random Forest, Gradient Boosting, Neural Network etc. Proficient in Excel, MS word, PowerPoint, etc. Strong client and team management and planning of large-scale projects with risk assessment Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.