113 Jupyter Notebook Jobs - Page 5

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together Principal Data Engineer is responsible for management of the full technical lifecycle of program for given modules, with a technical focus, including the strategy, design, development, and end-of-life of new, existing or acquired applications. Primary Responsibilities Lead the design, development, and maintenance of robust data pipelines and infrastructure for cloud cost management Architect and implement scalable data models and dbt workflows to support advanced analytics and reporting Conduct complex data analysis using SQL, Python (in Jupyter notebooks), and other tools to identify cost optimization opportunities, trends, and anomalies Develop and automate advanced reporting and dashboards using tools like PowerBI, incorporating predictive analytics and machine learning insights Lead the development and implementation of AI and bot strategies to automate data analysis tasks and enhance team efficiency Mentor and guide junior team members in data engineering best practices, cloud technologies, and analytical techniques Collaborate with data scientists and engineers to build and deploy machine learning models for forecasting, anomaly detection, and other FinOps use cases Champion data governance and ensure data quality across the cloud cost management platform Drive continuous improvement within the team, identifying opportunities to enhance processes and tools Partner with stakeholders across the organization to understand their data needs and deliver actionable insights Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor's degree in Computer Science, Data Science, or a related field 5+ years of experience in data engineering or data analysis, with a focus on cloud cost management Deep expertise in SQL and Excel Proven experience building data pipelines Solid experience with reporting and dashboarding tools like PowerBI Proven excellent leadership, mentorship, communication, and problem-solving skills Preferred Qualifications Extensive experience with major cloud service providers (GCP, AWS, Azure) and cloud cost management tools Hands-on expertise with a high-level programming language (e.g., Python) Extensive experience working with Jupyter Notebooks or similar tools Experience leading the development and implementation of AI and bot strategies for data analysis automation Solid experience with data modeling, dbt, and data warehousing concepts Experience architecting and building robust data pipelines using Azure Data Factory and Databricks (or similar tools on other cloud plat At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

: As a Banking Data Analyst, you will play a critical role in our clients' data-driven decision-making processes. You will work closely with marketing teams, product managers, and other stakeholders to understand their data needs and provide relevant analyses. Your expertise in SQL, marketing analytics, and banking domain knowledge will be essential to your success. Responsibilities : - Perform in-depth data analysis using SQL to extract and analyze banking data. - Develop and maintain reports and dashboards to track key performance indicators (KPIs). - Identify trends and patterns in banking data to provide actionable insights. - Analyze marketing campaign performance and provide recommendations for optimization. - Segment customer data to identify target audiences for marketing initiatives. - Develop and implement customer lifetime value (CLTV) models. -

Databuzz is Hiring for Data Scientist(Python and Notebooks)-6+yrs-(Mumbai)-Hybrid Please mail your profile to haritha.jaddu@databuzzltd.com with the below details, If you are Interested. About DatabuzzLTD: Databuzz is One stop shop for data analytics specialized in Data Science, Big Data, Data Engineering, AI & ML, Cloud Infrastructure and Devops. We are an MNC based in both UK and INDIA. We are a ISO 27001 & GDPR complaint company. CTC - ECTC - Notice Period/LWD - (Candidate serving notice period will be preferred) Position: Data Scientist(Python and Notebooks) Location: Mumbai Exp -6+ yrs Mandatory skills : Candidate should have 3-7 years of experience in data science or related field Proficiency in Python and Jupyter Notebooks Familiarity with Teradata and data lake house concepts Basic understanding of machine learning algorithms and statistical modeling Familiarity with on premise AIML solutions Basic understanding of Explainable AI concepts and techniques Regards, Haritha Talent Acquisition specialist haritha.jaddu@databuzzltd.com

Job Title Senior Software Engineer Experience 12-20 Years Location Bangalore : Strong knowledge & hands-on experience in AWS Data Bricks Nice to have Worked in hp eco system (FDL architecture) Technically strong to help the team on any technical issues they face during the execution. Owns the end-to-end technical deliverables Hands on data bricks + SQL knowledge Experience in AWS S3, Redshift, EC2 and Lambda services Extensive experience in developing and deploying Bigdata pipelines Experience in Azure data lake Strong hands on in SQL development / Azure SQL and in-depth understanding of optimization and tuning techniques in SQL with Redshift Development in Notebooks (like Jupyter, DataBricks, Zeppelin etc) Development experience in Spark Experience in scripting language like python and any other programming language Roles and Responsibilities Candidate must have hands on experience in AWS Data Databricks Good development experience using Python/Scala, Spark SQL and Data Frames Hands-on with Databricks, Data Lake and SQL knowledge is a must. Performance tuning, troubleshooting, and debugging SparkTM Process Skills: Agile – Scrum Qualification: Bachelor of Engineering (Computer background preferred)

About The Role : As a Banking Data Analyst, you will play a critical role in our clients' data-driven decision-making processes. You will work closely with marketing teams, product managers, and other stakeholders to understand their data needs and provide relevant analyses. Your expertise in SQL, marketing analytics, and banking domain knowledge will be essential to your success. Responsibilities : - Perform in-depth data analysis using SQL to extract and analyze banking data. - Develop and maintain reports and dashboards to track key performance indicators (KPIs). - Identify trends and patterns in banking data to provide actionable insights. - Analyze marketing campaign performance and provide recommendations for optimization. - Segment customer data to identify target audiences for marketing initiatives. - Develop and implement customer lifetime value (CLTV) models. - Apply knowledge of banking products and services to analyze data and provide relevant insights. - Focus on data related to deposits and home lending (good to have). - Visualize data using tools like Jupyter Notebook to communicate insights effectively. - Present findings to stakeholders in a clear and concise manner. - Ensure data accuracy and integrity. - Identify and resolve data quality issues. - Utilize Python for data analysis and automation tasks (good to have). Required Skills : - Very strong SQL skills for data extraction and analysis. - Proven experience in marketing analytics, including campaign analysis and customer segmentation. - Experience in the banking industry, with a focus on deposits and home lending (good to have). - Experience with Jupyter Notebook for data visualization and reporting. Good to Have Skills : Python Programming : - Experience with Python for data analysis and automation. Apply Insights Follow-up Save this job for future reference Did you find something suspiciousReport Here! Hide This Job Click here to hide this job for you. You can also choose to hide all the jobs from the recruiter.

Machine Learning Subject Matter Expert (SME) Course Creator We are seeking a Machine Learning Subject Matter Expert (SME) – Course Creator to design and develop engaging, high-quality machine learning (ML) courses aligned with our instructional design framework. The ideal candidate will collaborate with instructional designers, content developers, and multimedia teams to create learner-focused courses that cater to a global audience. Key Responsibilities: Design and structure machine learning courses for us, ensuring alignment with industry trends and best practices. Develop course modules, learning objectives, assessments, quizzes, and capstone projects to enhance learning outcomes. Create engaging content using Jupyter Notebooks, Python, TensorFlow, PyTorch, Scikit-learn, and other ML tools. Integrate real-world case studies, hands-on coding exercises, and interactive learning experiences. Work closely with instructional designers to implement pedagogically sound teaching methodologies (e.g., project-based learning, microlearning). Develop video scripts, slide decks, and supplementary materials for the hosted courses. Ensure content is accessible, interactive, and aligned with our Learning Experience Platform (LXP). Stay up to date with emerging ML trends, AI advancements, and our course creation guidelines. Required Skills & Qualifications: Master’s or Ph.D. in Machine Learning, Data Science, Computer Science, or a related field. 5+ years of experience in ML research, development, or teaching. Expertise in Python, TensorFlow, PyTorch, Scikit-learn, and other ML libraries. Experience in building and deploying ML models in real-world applications. Strong understanding of supervised, unsupervised, deep learning, and reinforcement learning techniques. Familiarity with cloud-based ML platforms (AWS, GCP, Azure ML). Prior experience in creating online courses, MOOCs, or technical content for learning platforms like Coursera, Udacity, or edX. Ability to explain complex ML concepts in a simple, engaging, and interactive manner. Strong technical writing and communication skills. Preferred Qualifications: Experience working with LMS platforms and course creation tools (Articulate, Camtasia, Jupyter Notebooks). Knowledge of AI ethics, explainable AI (XAI), and responsible AI development. Previous experience as a course instructor, mentor, or content contributor.

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP for Utilities Billing Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : Minimum 15 yrs of full time education Key Responsibilitiesa. Design, configure and build applications to meet business process and application requirements b. Knowledge in Analyzing requirements and enhancing and building highly optimized standard / custom applications as well as creating Business Process and related technical documentationc. Billing Execution Individual and batch for Daily reporting to Managers, Risk identification in your moduled. Knowledge on Analyzing Issues and working on bug fixes Technical Experiencea. Should have hands on knowledge of implementing Billing related enhancements , FQ events b. Should have knowledge on Standard Modules used in RICEFW development for Billing Objects c. Should have good knowledge on all Billing and Invoicing processes like Meter to Cash Cycle, Billing exceptions and reversals, Joint Invoicing, Bill Printing, Collective invoicing and Advance Billing functions like Real Time Pricing and Budget Billingd. Should have sound knowledge on Billing Mater Data and Integration points with Device Management and FICAe. Should have strong De-bugging skills , PWB. Professional Attributes1 Good Communication Skill2 Flexible to work3 Ability to work under pressure4 Good Analytical skill and presentation skill5 Decision making ability5 Decision making ability Qualifications Minimum 15 yrs of full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP for Utilities Billing Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : Minimum 15 yrs of full time education Key Responsibilitiesa. Design, configure and build applications to meet business process and application requirements b. Knowledge in Analyzing requirements and enhancing and building highly optimized standard / custom applications as well as creating Business Process and related technical documentationc. Billing Execution Individual and batch for Daily reporting to Managers, Risk identification in your moduled. Knowledge on Analyzing Issues and working on bug fixes Technical Experiencea. Should have hands on knowledge of implementing Billing related enhancements , FQ events b. Should have knowledge on Standard Modules used in RICEFW development for Billing Objects c. Should have good knowledge on all Billing and Invoicing processes like Meter to Cash Cycle, Billing exceptions and reversals, Joint Invoicing, Bill Printing, Collective invoicing and Advance Billing functions like Real Time Pricing and Budget Billingd. Should have sound knowledge on Billing Mater Data and Integration points with Device Management and FICAe. Should have strong De-bugging skills , PWB. Professional Attributes1 Good Communication Skill2 Flexible to work3 Ability to work under pressure4 Good Analytical skill and presentation skill5 Decision making ability5 Decision making ability Qualifications Minimum 15 yrs of full time education

Role Overview: As an Engineering Manager in the AI team, you will lead and mentor a team of 10+ software engineers working on a wide range of AI/ML/GenAI-driven initiatives. You will be responsible for the end-to-end delivery of AI solutions, guiding your team through the full software and machine learning lifecycle, from ideation and design to deployment and continuous improvement. In this hands-on leadership role, you will collaborate closely with engineering leaders, data scientists, product managers, and other stakeholders to deliver high-quality AI applications that power our products and services. Responsibilities: Leadership and Mentorship: Lead, mentor, and develop a team of 10+ AI/ML software engineers, fostering a culture of growth, collaboration, and technical excellence. Ensure high performance by providing regular feedback, coaching, and career development opportunities. AI/GenAI Architecture and Delivery: Oversee the design and delivery of AI and generative AI systems, ensuring that all solutions are scalable, robust, and high-quality. Guide your team to implement innovative AI models, tools, and infrastructure that drive business outcomes. Cross-Functional Collaboration: Partner with other engineering leaders, data scientists, product managers, and directors to align on strategic goals and deliverables. Collaborate closely with cross-functional teams to break down complex engineering tasks and drive the execution of the AI roadmap. Agile Leadership: Lead your team in an agile environment, participating in sprint planning, daily stand-ups, code reviews, and retrospectives. Help the team manage competing priorities while maintaining focus on delivering high-quality AI solutions. Technical Excellence: Promote best practices in software development, code quality, testing, and deployment. Drive the adoption of modern engineering practices like CI/CD, automated testing, and cloud-based AI/ML solutions to ensure the delivery of secure, scalable AI applications. Innovation: Stay up to date with the latest advancements in Generative AI and machine learning. Foster a culture of continuous learning, encouraging engineers to grow their technical skills and experiment with emerging technologies to contribute to the companys thought leadership in AI. Stakeholder Communication: Act as a liaison between the AI team and other stakeholders, effectively communicating progress, risks, and technical insights to non-technical leadership and product teams. Qualifications: Experience: 7-10 years of experience in software engineering, with at least 2-4 years in a leadership or management role, overseeing AI or machine learning teams. Proven track record of leading and delivering AI/ML and Generative AI initiatives at scale in fast-paced, dynamic environments. Technical Skills: Proficiency in Python and ML frameworks such as PyTorch or TensorFlow. Strong experience with AI, machine learning, and deep learning technologies as well as solid understanding of the software development lifecycle, object-oriented programming, concurrency, design patterns, RESTful services, and microservice architecture. AI Tools and Cloud Technologies: Experience with cloud platforms (AWS, Google Cloud, Azure), with a focus on AI/ML deployment (e.g., VertexAI, GKE, BigQuery, Kubeflow, TensorFlow Serving). Familiarity with MLOps practices and tools for model deployment and monitoring (e.g., Terraform, GitHub Actions, Concourse). Leadership and Collaboration: Strong people management and leadership skills, with experience leading cross-functional teams. Proven ability to mentor engineers, manage competing priorities, and align team efforts with business objectives. Agile Experience: Strong understanding of agile methodologies, with experience leading teams in an agile environment. Knowledge of best practices for managing sprints, tasks, and project timelines. Communication: Excellent verbal and written communication skills. Ability to communicate complex technical concepts to non-technical stakeholders and build strong working relationships across the organization. Preferred Qualifications: Experience working with large language models (LLMs) or fine-tuning open-source models like GPT. Familiarity with modern AI development tools, such as Jupyter notebooks, Kubernetes, Docker, and CI/CD pipelines. Experience in high-compliance or enterprise-grade environments with a focus on AI ethics, privacy, and security. Education: Bachelors or Masters degree in Computer Science, AI/ML, Data Science, or a related field. Ph.D. is a plus.

Company: Zaalima Development Location: Remote Duration: 3 Months Stipend: 1,000 5,000/month (based on performance) Eligibility: Open to all students, freshers, and career switchers welcome About Zaalima Development: Zaalima Development is a forward-thinking tech company leveraging the power of data to build intelligent applications and systems. We believe in providing growth opportunities for aspiring professionals through real-world project experience and strong mentorship. Role Overview: We are seeking motivated Data Science & Machine Learning Interns to join our team. This internship is ideal for freshers who want to gain hands-on experience in building data pipelines, analyzing datasets, and developing machine learning models. Key Responsibilities: Work with structured and unstructured data for cleaning, preprocessing, and analysis Perform exploratory data analysis (EDA) to identify trends and patterns Build, evaluate, and improve machine learning models using Python libraries Contribute to real-world projects involving prediction, classification, or recommendation systems Document workflows, findings, and collaborate with cross-functional teams Requirements: Basic understanding of Python and data science fundamentals Familiarity with libraries such as pandas, NumPy, matplotlib, scikit-learn, or TensorFlow (preferred but not mandatory) Strong analytical and problem-solving skills Eagerness to learn and explore new tools and concepts No prior experience required What We Offer: Part-time remote internship with flexible working hours Stipend between 1,000 to 5,000 per month based on performance Real-world experience working on data-driven projects Mentorship from experienced data professionals Certificate of completion upon successful internship How to Apply: If you're enthusiastic about data, machine learning, and AI, and looking to kickstart your career with real project exposure, we encourage you to apply. This role is open to all learners who are ready to grow in a practical, hands-on environment.

Company: Zaalima Development Location: Remote Duration: 3 Months Stipend: 1,000 5,000/month (based on performance) Eligibility: Open to all – students, freshers, and career switchers welcome About Zaalima Development: Zaalima Development is a growing tech company focused on building scalable and smart software solutions. We are passionate about helping fresh talent gain real-world programming experience while working on practical applications. Role Overview: We are looking for motivated Python Developer Interns who are excited to write clean, functional code and build backend systems or automation scripts. This internship is ideal for freshers who want to apply their Python skills to real-world projects. Key Responsibilities: Write and test clean, scalable Python code Assist in developing backend logic, APIs, or automation tools Work with libraries such as Flask, Django, Pandas, or requests (based on project needs) Debug and troubleshoot issues in existing code Collaborate with developers, designers, or data teams as needed Requirements: Basic understanding of Python programming Familiarity with concepts like functions, data structures, and error handling Willingness to learn backend frameworks or automation tools Problem-solving mindset and attention to detail No prior experience required What We Offer: Part-time remote internship with flexible working hours Stipend between 1,000 to 5,000 per month based on performance Practical experience working on Python-based projects Mentorship from experienced developers Certificate of completion upon successful internship How to Apply: If you're passionate about Python and ready to take your coding skills to the next level, we encourage you to apply. This internship is open to anyone eager to grow as a developer in a supportive, project-based environment.

Company: Zaalima Development Location: Remote Duration: 3 Months Stipend: 1,000 5,000/month (based on performance) Eligibility: Open to all students, freshers, and career switchers welcome About Zaalima Development: Zaalima Development is a growing tech company that leverages data to drive innovation and decision-making. We are dedicated to empowering fresh talent by providing hands-on experience with real data and analytics projects in a supportive learning environment. Role Overview: We are seeking detail-oriented and analytical-minded interns to join our team as Data Analysts. This internship is ideal for freshers who want to build a strong foundation in data analysis, reporting, and data-driven insights. Key Responsibilities: Collect, organize, and clean raw data from various sources Perform data analysis and create visualizations to uncover trends and insights Use tools such as Excel, Google Sheets, SQL, or Python for data manipulation Assist in preparing dashboards and reports for internal use Communicate findings clearly with team members and suggest data-driven improvements Requirements: Basic knowledge of data analysis concepts Familiarity with Excel/Google Sheets, SQL, or Python (any one) Attention to detail and critical thinking skills Willingness to learn and work collaboratively No prior experience required What We Offer: Part-time remote internship with flexible hours Stipend between 1,000 to 5,000 per month based on performance Real-world experience working with data Guidance from experienced professionals Certificate of completion upon successful internship How to Apply: If you are passionate about working with data and want to explore a career in analytics, we welcome your application. This opportunity is open to anyone eager to start their journey in data analysis.

Who we are looking for: Monk is leading the way in AI-driven innovation with its advanced damage detection technology for vehicles, enabling seamless integration into web and native applications via APIs. Our machine learning expertise is trusted by global leaders like our parent company ACV Auctions (USA), CAT Logistics (Europ Getaround (France), Autobiz (Europe), and Hgreg (Canad We are looking for a Machine Learning Scientist in Computer Vision who thrives on taking ownership, delivering impactful results, and driving innovation. If you're someone who can align with business needs, ensure timely delivery, and elevate the team's capabilities, we’d love to have you on board. This role is your opportunity to lead game-changing projects, create tangible value, and shape the future of AI technology in the automotive space. What you will do: Own the end-to-end development of machine learning models and datasets to solve critical business challenges and meet product needs. Drive innovation by continuously tracking and integrating state-of-the-art advancements of computer vision and deep learning into Monk’s AI solutions Identify and solve key business problems with data-driven, actionable insights. Deliver high-impact results through meticulous planning, rigorous testing, and smooth deployment of machine learning solutions. Mentor and support junior team members, cultivating a culture of excellence and collaboration. Machine Learning Scientist CV Collaborate with product, business, and technical teams to align on priorities, estimate efforts, and adapt to feedback. Ensure long-term reliability and scalability through robust documentation and testing practices. Tech Stack Utilized: Languages: Python, SQL Libraries/Frameworks: PyTorch ecosystem, a touch of OpenCV and Scikit-learn Tools: Jupyter, DBT, Docker Infrastructure: GCP, Kubernetes, BigQuery Version Control: GitHub Background and Skills: Required Skills 5+ years of experience in computer vision, data science or related fields, wit a proven track record of delivering impactful results. Strong foundation in machine learning, computer science, statistical modeling, and data processing pipelines. Proficiency in Python and SQL for data manipulation and model development. Solid experience deploying machine learning models into production environments. A proactive approach to aligning with business needs and driving team-wide innovation. Strong communication skills to explain technical concepts to non-technical stakeholders. Fluent in English, enabling effective collaboration across global teams. Desired Background Master’s or Ph.D. in Data Science, Computer Science, or a related field Experience in B2B SaaS, automotive technology, or AI-driven startups. Knowledge of working with distributed teams across time zones. A proactive mindset, with the ability to work autonomously in fast-paced environments. #LI-RG1