162 Plotly Jobs - Page 3

Job Req ID: 47377 Location: Hyderabad, IN Function: Technology/ IOT/Cloud About: Role Overview: We are looking for a hands-on Data Engineer with 8+ years of experience to build, manage, and scale data pipelines, deploy ML solutions , and enable advanced data visualizations and dashboards for business consumption. The ideal candidate will have a strong engineering mindset, deep understanding of data infrastructure, and prior experience working on self-managed or private cloud (VM-based) deployments. Candidates from premier institutes ( IITs, NITs, or equivalent Tier-1/2 schools ) are strongly preferred. Key Responsibilities: Design and build robust, scalable, and secure data pipelines (batch and real-time) to support AI/ML workloads and BI dashboards. Collaborate with data scientists to operationalize ML models , including containerization (Docker), CI/CD pipelines, model serving (FastAPI/Flask), and monitoring. Develop and maintain interactive dashboards using tools such as Plotly Dash, Power BI, or Streamlit to visualize key insights for business stakeholders. Manage deployments and orchestration on Vi’s local private cloud infrastructure (VM-based setups) . Work closely with analytics, business, and DevOps teams to ensure reliable data availability and system health. Optimize ETL/ELT workflows for performance and scale across large telecom datasets. Implement data quality checks, governance, and logging/monitoring solutions for all production workloads. Required Qualifications & Skills: 8+ years of experience in data engineering, platform development, and/or ML deployment. Prefered B.Tech/M.Tech from Tier-1 or Tier-2 institutes (IITs, NITs, IIITs, BITS, etc.) . Strong proficiency in Python , SQL , and data pipeline frameworks (Airflow, Luigi, or similar). Solid experience with containerization (Docker), scripting, and deploying production-grade ML or analytics services. Hands-on experience with dashboarding and visualization tools such as: Power BI / Tableau / Streamlit Custom front-end dashboards (nice to have) Experience working on self-managed VMs, bare-metal servers, or local private clouds (not just public cloud services). Familiarity with ML deployment architectures , REST APIs, and performance tuning. Preferred Skills: Experience with Kafka, Spark, or distributed processing systems . Exposure to MLOps tools (MLflow, DVC, Kubeflow). Understanding of telecom data and analytics use cases. Ability to lead and mentor junior engineers or analysts.

Role Overview We are looking for a hands-on Data Engineer with 8+ years of experience to build, manage, and scale data pipelines, deploy ML solutions , and enable advanced data visualizations and dashboards for business consumption. The ideal candidate will have a strong engineering mindset, deep understanding of data infrastructure, and prior experience working on self-managed or private cloud (VM-based) deployments. Candidates from premier institutes ( IITs, NITs, or equivalent Tier-1/2 schools ) are strongly preferred. Key Responsibilities Design and build robust, scalable, and secure data pipelines (batch and real-time) to support AI/ML workloads and BI dashboards. Collaborate with data scientists to operationalize ML models, including containerization (Docker), CI/CD pipelines, model serving (FastAPI/Flask), and monitoring. Develop and maintain interactive dashboards using tools such as Plotly Dash, Power BI, or Streamlit to visualize key insights for business stakeholders. Manage deployments and orchestration on Vi’s local private cloud infrastructure (VM-based setups). Work closely with analytics, business, and DevOps teams to ensure reliable data availability and system health. Optimize ETL/ELT workflows for performance and scale across large telecom datasets. Implement data quality checks, governance, and logging/monitoring solutions for all production workloads. Required Qualifications & Skills 8+ years of experience in data engineering, platform development, and/or ML deployment. Prefered B.Tech/M.Tech from Tier-1 or Tier-2 institutes (IITs, NITs, IIITs, BITS, etc.). Strong proficiency in Python, SQL, and data pipeline frameworks (Airflow, Luigi, or similar). Solid experience with containerization (Docker), scripting, and deploying production-grade ML or analytics services. Hands-on experience with dashboarding and visualization tools such as: Power BI / Tableau / Streamlit Custom front-end dashboards (nice to have) Experience working on self-managed VMs, bare-metal servers, or local private clouds (not just public cloud services). Familiarity with ML deployment architectures, REST APIs, and performance tuning. Preferred Skills Experience with Kafka, Spark, or distributed processing systems. Exposure to MLOps tools (MLflow, DVC, Kubeflow). Understanding of telecom data and analytics use cases. Ability to lead and mentor junior engineers or analysts. Show more Show less

Application Development Advisor - HIH - Evernorth About Evernorth: Evernorth Health Services, a division of The Cigna Group (NYSE: CI), creates pharmacy, care, and benefits solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention, and treatment of illness and disease more accessible to millions of people. SUMMARY: As a Software Engineering Advisor, you will play a key role in delivering software and platform services to our internal clients. You will be a leader in a team of talented software engineers, helping maintain and enhance our capabilities. You will collaborate closely with technology, product, and business stakeholders to ensure that our services meet our clients’ needs. You will be responsible for guiding the strategy, culture, and coding best practices within the team. ESSENTIAL FUNCTIONS: Be a leader in designing, developing, and deploying applications to cloud and on-prem environments Provide technical guidance and mentorship to team members, fostering their professional growth and development Work on technical documents, code, and deployments Build and maintain strong relationships with technology, product, and business stakeholders Asses technical debt and risk and work with stakeholders to balance the workload Take ownership of project deliverables, ensuring they meet quality, budget, and timeline constraints Act as a point of contact for technical escalations and provide timely resolutions Communicate effectively with stakeholders to provide project updates, address concerns, and gather feedback REQUIRED SKILLS: 11+ years of relevant engineering experience Experience working in a Healthcare Organization 6+ years of experience with designing and consuming REST APIs (preferably ASP.NET) 6+ years of experience with modern JavaScript frameworks (preferably Angular) Experience working with Relational databases (SQL Server, MySQL, Oracle, or equivalent) Experience working in a Cloud Environment (AWS, Azure, etc.) Experience working with CI/CD pipelines (preferably Jenkins) Logging tools (Splunk, Kafka, New Relic) Data visualization libraries / tools (Fusion Charts, HighCharts, Plotly, Tableau) Strong communication, organizational, and mentoring skills 5+yrs exp into Angular (version 17 & above) 6+ yrs .NET Any cloud (Azure / AWS / GCP) 4yrs exp in SQL, CI/CD Stakeholder management General shift Healthcare domain preferred Location & Hours of Work Hyderabad /General Shift (11:30 AM - 8:30 PM IST / 1:00 AM - 10:00 AM EST / 2:00 AM - 11:00 AM EDT) Equal Opportunity Statement Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations About Evernorth Health Services Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.

Company Description Jumbo is pioneering the future of gaming with the world’s only No Money Loss Gaming app. Our innovative platform allows users to win money by playing games without the risk of losing their stake, even if they don’t win the game. Imagine playing a game of Poker with ₹1,000 which you end up losing. What if you could reuse those ₹1,000 to buy a Domino's Pizza!? Or to watch a movie at PVR, or buy your favorite headphones? About the Role At Jumbo as a generalist, your responsibilities include working closely with the founders within the company, to enable founders to think on the vision while you will be focused on executing the mission and day-to-day activities. You will directly represent the CEO on daily business activities. The ideal individual should be highly data oriented with massive bias for action. They should be self-motivated, with the ability to execute efficiently on multiple simultaneous threads and at the same time be comfortable with ambiguity. It is the perfect role for someone who enjoys "multi tasking", "program management", "problem solving" and setting up "scaled processes" and has clear aspirations to be an entrepreneur. 📍 Location: South Delhi, New Delhi 💻 Work Schedule : 6 Days Working Responsibilities Working closely with the CEO and ensuring his representation in a project or decision-making process at the right moment. Conduct ad hoc research and analysis to support decision-making processes Produce monthly reports, which include key metrics, financial results, and investor reports. Assist the company in achieving short and long-term goals relating to product growth by virtue of being a generalist & being open to wearing many hats at once. Help in sustaining investor relations, fundraising and business development. Coordinate with the tech, product, marketing teams to build and launch new products, iterate to get to product-market fit, build strategic partnerships, design go-to-market strategies and establish key business opportunities to drive revenue and market penetration. Basically establish and track progress across multiple projects ( OKRs etc) and work with stakeholders across functions. Handle confidential and sensitive information with discretion and maintain high levels of confidentiality Requirements 2+ years experience in startups or consulting (preferably with firms such as McKinsey, BCG or Bain) Excellent communication & time management skills Understanding of technology — Excel, Word, PowerPoint, and basics of SQL The ability to work under pressure, adapt to change, & balance customer needs against the company’s vision. Organized and self-sufficient to not be required to be spoon-fed & take ownership from 1st week itself Traits (apply even if you do not fulfill requirements but match the traits) Quick Learner Problem Solver Making sense out of chaos Risk Taker & Fearless Multi-tasker Passion to learn Entrepreneurial spirit Nice to Haves Knowledge of advance graphing such as Tableau or Plotly Previous experience in RMG industry Benefits Learn how to build a business from 0-1 Health Insurance Annual Retreat Monthly Outings Show more Show less

About ISOCRATES Since 2015, iSOCRATES advises on, builds and manages mission-critical Marketing, Advertising and Data technologies, platforms, and processes as the Global Leader in MADTECH Resource Planning and Execution(TM). iSOCRATES delivers globally proven, reliable, and affordable Strategy and Operations Consulting and Managed Services for marketers, agencies, publishers, and the data/tech providers that enable them. iSOCRATES is staffed 24/7/365 with its proven specialists who save partners money, and time and achieve transparent, accountable, performance while delivering extraordinary value. Savings stem from a low-cost, focused global delivery model at scale that benefits from continuous re-investment in technology and specialized training. About MADTECH.AI MADTECH.AI is the Unified Marketing, Advertising, and Data Decision Intelligence Platform purpose-built to deliver speed to value for marketers. At MADTECH.AI, we make real-time AI-driven insights accessible to everyone. Whether you’re a global or emerging brand, agency, publisher, or data/tech provider, we give you a single source of truth - so you can capture sharper insights that drive better marketing decisions faster and more affordable than ever before. MADTECH.AI unifies and transforms MADTECH data and centralizes decision intelligence in a single, affordable platform. Leave data wrangling, data model building, proactive problem solving, and data visualization to MADTECH.AI. Job Description We are seeking a highly skilled, results-oriented Product Manager - AI & BI to lead the growth and development of iSOCRATES' MADTECH.AI™ platform. As a core member of the product team, you will play an instrumental role in shaping the future of our AI-powered Marketing, Advertising, and Data Decision Intelligence solutions. Your focus will be on driving innovation in AI and BI capabilities, ensuring that our product meets the evolving needs of our B2B customers and enhances their marketing and data analytics capabilities. Key Responsibilities Product Strategy & Roadmap Development: Lead the creation and execution of the MADTECH.AI™ product roadmap, with a focus on incorporating AI and BI technologies to deliver value for B2B customers. Collaborate with internal stakeholders to define product features, prioritize enhancements, and ensure alignment with iSOCRATES’ long-term business objectives. AI & BI Product Development: Spearhead the design and development of innovative AI and BI features to enhance the MADTECH.AI™ platform’s scalability, functionality, and user experience. Leverage cutting-edge technologies such as machine learning, predictive analytics, natural language processing (NLP), data visualization, reinforcement learning, and other advanced AI techniques to deliver powerful marketing, advertising, and data decision intelligence solutions. Cross-Functional Collaboration: Collaborate with cross-functional teams, including engineering, design, marketing, sales, and customer success, to ensure seamless product development and delivery. Facilitate communication between technical and business teams to ensure product features align with customer needs and market trends. Customer & Market Insights: Engage with customers and other stakeholders to gather feedback, identify pain points, and stay on top of market trends. Use this data to shape product development and enhance MADTECH.AI™ capabilities, ensuring they are well-positioned in the evolving market landscape. Product Lifecycle Management: Oversee the complete product lifecycle from ideation through launch and beyond. Manage ongoing iterations of the product based on customer feedback and performance metrics to ensure that MADTECH.AI™ remains competitive and meets user expectations. Data-Driven Decision Making: Use customer analytics, usage patterns, and performance data to inform key product decisions. Define success metrics, monitor product performance, and make adjustments as needed to drive product success. AI/BI Thought Leadership: Stay current on the latest trends in AI, BI, MarTech, and AdTech. Act as a thought leader both internally and externally to position iSOCRATES as an innovator in the MADTECH.AI space. Promote best practices and contribute to the company’s overall strategy for AI and BI product development. Qualifications & Skills Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Business, or a related field. At least 12 years of experience in product management, with a minimum of 7 years focused on B2B SaaS solutions and strong expertise in AI and BI technologies. Prior experience in marketing, advertising, or data analytics platforms is highly preferred. AI & BI Expertise: Deep understanding of Artificial Intelligence, Machine Learning, Natural Language Processing (NLP), Predictive Analytics, Data Visualization, Business Intelligence tools (e.g., Tableau, Power BI, Qlik), and their application in SaaS products, especially within the context of MarTech, AdTech, or DataTech. AI Tools and Technologies : Hands-on experience with AI and BI tools such as: Data Science Libraries: TensorFlow, PyTorch, Scikit-learn, Keras, XGBoost, LightGBM, Hugging Face Transformers, CatBoost, H2O.ai BI Platforms: Tableau, Power BI, Qlik, Looker, Domo, Sisense, MicroStrategy Machine Learning Tools: Azure ML, Google AI Platform, AWS Sagemaker, Databricks, H2O.ai, Vertex AI Data Analytics Tools: Apache Hadoop, Apache Spark, Apache Flink, SQL-based tools, dbt, Snowflake Data Visualization Tools: D3.js, Plotly, Matplotlib, Seaborn, Chart.js, Superset Cloud-Based AI Services: Google AI, AWS AI/ML services, IBM Watson, Microsoft Azure Cognitive Services, Oracle Cloud AI Emerging Tools: AutoML platforms, MLOps tools, Explainable AI (XAI) tools Product Development: Proven experience in leading AI/BI-driven product development within SaaS platforms, including managing the full product lifecycle, from ideation to launch and post-launch iterations. Agile Methodology: Experience working in Agile product development environments, with the ability to prioritize and manage multiple initiatives and product features simultaneously. Analytical & Data-Driven: Strong analytical skills with a focus on leveraging data, performance metrics, and customer feedback to inform product decisions. Ability to translate complex data into actionable insights. Customer-Centric: Experience in working directly with customers to understand their needs, pain points, and feedback. A customer-first mindset with a focus on building products that provide measurable value. Excellent Communication Skills: Exceptional communication, presentation, and interpersonal skills, with the ability to engage and influence both technical teams and business stakeholders across different geographies. Industry Knowledge: Familiarity with MADTECH.AI platforms and technologies. Understanding of customer journey analytics, predictive analytics, and decision intelligence platforms like MADTECH.AI™ is a plus. Cloud & SaaS Architecture: Familiarity with cloud-based solutions and large-scale SaaS architecture. Understanding of how AI and BI features integrate with cloud infrastructure is beneficial. Experience with AI-powered decision intelligence platforms like MADTECH.AI™ or similar MarTech, AdTech, or DataTech tools. In-depth knowledge of cloud technologies, including AWS, Azure, or Google Cloud, and their integration with SaaS platforms. Exposure to customer journey analytics, predictive analytics, and other advanced AI/BI tools. Willingness to work from Mysore/Bangalore or travel to Mysore as per business requirement. Show more Show less

Marketing Measurement & Optimization Analyst Job Description: Qualifications: Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or a related field. Proven 0-2 years of experience in a similar role. Strong problem-solving skills. Excellent communication skills. Skills: Proficiency in R (tidyverse, plotly/ggplot2), or Python (pandas, numpy), for data manipulation and visualization, and SQL (joins, aggregation, analytics functions) for data handling. Ability to understand marketing data and perform statistical tests. Knowledge of data visualization tools such as Tableau or Power BI. Responsibilities: Familiar with Media Mix Modelling, Multi-Touch Attribution. Knowledge of panel data and its analysis. Understand of Data Science workflow. Familiarity with marketing channels, performance & effectiveness metrics, and conversion funnel. Work with large data and performing data QA & manipulation tasks such as joins/merge, aggregation & segregation, append. Location: Pune Brand: Merkle Time Type: Full time Contract Type: Permanent Show more Show less

Marketing Measurement & Optimization Analyst Job Description: Qualifications: Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or a related field. Proven 0-2 years of experience in a similar role. Strong problem-solving skills. Excellent communication skills. Skills: Proficiency in R (tidyverse, plotly/ggplot2), or Python (pandas, numpy), for data manipulation and visualization, and SQL (joins, aggregation, analytics functions) for data handling. Ability to understand marketing data and perform statistical tests. Knowledge of data visualization tools such as Tableau or Power BI. Responsibilities: Familiar with Media Mix Modelling, Multi-Touch Attribution. Knowledge of panel data and its analysis. Understand of Data Science workflow. Familiarity with marketing channels, performance & effectiveness metrics, and conversion funnel. Work with large data and performing data QA & manipulation tasks such as joins/merge, aggregation & segregation, append. Location: Pune Brand: Merkle Time Type: Full time Contract Type: Permanent Show more Show less

Marketing Measurement & Optimization Analyst Job Description: Qualifications: Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or a related field. Proven 0-2 years of experience in a similar role. Strong problem-solving skills. Excellent communication skills. Skills: Proficiency in R (tidyverse, plotly/ggplot2), or Python (pandas, numpy), for data manipulation and visualization, and SQL (joins, aggregation, analytics functions) for data handling. Ability to understand marketing data and perform statistical tests. Knowledge of data visualization tools such as Tableau or Power BI. Responsibilities: Familiar with Media Mix Modelling, Multi-Touch Attribution. Knowledge of panel data and its analysis. Understand of Data Science workflow. Familiarity with marketing channels, performance & effectiveness metrics, and conversion funnel. Work with large data and performing data QA & manipulation tasks such as joins/merge, aggregation & segregation, append. Location: Pune Brand: Merkle Time Type: Full time Contract Type: Permanent Show more Show less

Marketing Measurement & Optimization Analyst Job Description: Qualifications: Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or a related field. Proven 0-2 years of experience in a similar role. Strong problem-solving skills. Excellent communication skills. Skills: Proficiency in R (tidyverse, plotly/ggplot2), or Python (pandas, numpy), for data manipulation and visualization, and SQL (joins, aggregation, analytics functions) for data handling. Ability to understand marketing data and perform statistical tests. Knowledge of data visualization tools such as Tableau or Power BI. Responsibilities: Familiar with Media Mix Modelling, Multi-Touch Attribution. Knowledge of panel data and its analysis. Understand of Data Science workflow. Familiarity with marketing channels, performance & effectiveness metrics, and conversion funnel. Work with large data and performing data QA & manipulation tasks such as joins/merge, aggregation & segregation, append. Location: Pune Brand: Merkle Time Type: Full time Contract Type: Permanent Show more Show less

Financial Analysts and Advisors (Vet Existing Resources) Collect market and company data, build/maintain financial models, craft decks, track portfolios, run risk and scenario analyses, develop client recommendations, and manage CRM workflows. Commercial Software ‑ Bloomberg Terminal, Refinitiv Eikon, FactSet, Excel, PowerPoint, Salesforce FSC, Redtail, Wealthbox, Orion Advisor Tech, Morningstar Office, BlackRock Aladdin, Riskalyze, Tolerisk, eMoney Advisor, MoneyGuidePro, Tableau, Power BI. Open / Free Software ‑ LibreOffice Calc, Google Sheets, Python (Pandas, yfinance, NumPy, SciPy, Matplotlib), R (QuantLib, tidyverse), SuiteCRM, EspoCRM, Plotly Dash, Streamlit, Portfolio Performance, Ghostfolio, Yahoo Finance API, Alpha Vantage, IEX Cloud (free tier). Show more Show less

Vandey provides outsourced instructional services to institutions of higher education and is seeking a candidate to work for Vandey to serve in a full-time role as a Senior Data Scientist with the University of the People. INTRODUCTION: University of the People (UoPeople) is the first non-profit, tuition-free, American, accredited, 100% online university. Today, UoPeople has over 152,000 students enrolled from more than 200 countries and territories, including 18,800 students who are refugees. Currently UoPeople is accredited by the DEAC and WASC accreditation. We believe that higher education is a basic human right and that it can transform not only the lives of students, but also their families' lives, their communities, their nations, and, by extension, the world. See President Reshef’s TED talk when he announced the founding of the University.[ TED talk ] UoPeople is an innovative university, and we welcome team members who bring creativity and innovation to their roles. We’re a fast-paced organization with remote teams all around the globe. If you’re a self-starter who wants to succeed alongside a passionate team, we’d love to hear from you! UoPeople is supported by the generosity of individuals and foundations, including the Gates, Hewlett, Ford Foundations, Foundation Hoffmann, and others. The University has been covered by the New York Times, BBC, NPR, Times Higher Education, US News and World Report, and more. President Reshef’s TED Talk and Nas Daily interview about the University have 30 million views combined. REPORTS TO : VP of Strategy and Planning JOB SUMMARY: We are seeking a talented and analytical data scientist to partner with the University leadership to create actionable data insights into our operations and students journey. You will work closely with stakeholders to answer key questions such as how to increase enrollment, improve retention and graduation, generate more revenue and better understand our student profile. In this role, you will take full ownership of your projects from start to finish. This includes collaborating with stakeholders to understand key business questions, sourcing and preparing data, performing exploratory data analysis, building and fine-tuning models, and conducting in-depth analysis. You will communicate your findings and insights through dashboards, visualizations, and presentations, ensuring alignment with business objectives. RESPONSIBILITIES: Partner with key stakeholders to identify analytical opportunities, frame business questions, and deliver data-driven solutions Design, build, and optimize predictive models using historic data, machine learning techniques, statistical modeling to forecast future trends Conduct exploratory data analysis to uncover trends, patterns, and anomalies that inform business decisions Conducting large-scale A/B experiments Collaborate with data governance team to assess data health and provide support in developing an automated data quality audit process Mentor and upskill data analysts to advance analytical capabilities using modern techniques and methods. Contribute to evaluation of AI vendors and solutions to assess technical feasibility, privacy and ethical considerations and strategic alignment with university goals. QUALIFICATIONS: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field (PhD preferred). Must have Previous experience with Statistical Modeling and MLOps Must have previous experience with Google Big Query or another cloud data warehouse technology Proven experience (5+ years) in developing and deploying ML predictive models in a business environment. Strong understanding of AI and ML technologies (NLP, Deep Learning and Gen AI) Proficient in programming (Python, R, Pandas, Scikit-Learn, Plotly etc.) Proficient in excel, SQL, database technologies, data modeling/architecture Strong knowledge of machine learning frameworks (e.g., TensorFlow, scikit-learn, PyTorch). Hands on knowledge of Power BI and/or Looker visualization tool Experience with learning management or edtech products is a big plus Strategic thinker with a problem-solving mindset and a passion for innovation. Show more Show less

About the team: The AI Core team is a small and nimble team focused on AI innovation, experimental modelling, and scientific validation. Its mission is to build highly efficient, adaptable and efficacious large models for multiple general-purpose applications in chemical metrology. To stay aligned with the mission, the team follows advancements in AI, including next-generation deep learning architectures, autonomous agents, large-scale optimization algorithms, reinforcement learning methodologies, and innovative data simulation techniques. Senior Data Scientist The Senior Data Scientist plays a critical role in the AI Core team by guiding at every stage of the AI research with data-driven insights and substantiating the success/failure of these stages. Responsibilities: Perform exploratory data analysis (EDA) on spectral datasets to identify patterns, trends, and anomalies. Rapid prototyping to test out multiple hypotheses across large-scale historical datasets Develop statistical and machine learning models to complement deep learning approaches. Validate model outputs against domain knowledge or computational (non-ML) spectral analysis - Generate visualizations and reports for internal validation. Apply learnings from data patterns to innovatively generate simulated data Skills: Strong background in statistics, machine learning, and data visualization. Experience with time-series data Rapid prototyping skills, hypothesis generation and testing Mathematical foundations (optimization, linear algebra, probabilistic modelling) Technical proficiency in some of these: Python, SQL, Pandas, Matplotlib/Plotly, Jupyter and Excel Experience with physics simulators (PyBullet, Gazebo) and synthetic data generation (Blender, NVIDIA Omniverse). Passion: Discovering patterns and creativity in analyzing data Qualifications: Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related technical field. 8+ years of experience in data analysis, statistical modelling, or related roles. Prior roles within AI research teams Background in chemometrics, spectroscopy, or analytical chemistry, desirable Advantage: Modelling anomaly detection, noise, baselines, and artifacts in any domain. About Picarro: We are the world's leader in timely, trusted, and actionable data using enhanced optical spectroscopy. Our solutions are used in a wide variety of applications, including natural gas leak detection, ethylene oxide emissions monitoring, semiconductor fabrication, pharmaceutical, petrochemical, atmospheric science, air quality, greenhouse gas measurements, food safety, hydrology, ecology, and more. Our software and hardware are designed and manufactured in Santa Clara, California and are used in over 90 countries worldwide based on over 65 patents related to cavity ring-down spectroscopy (CRDS) technology and are unparalleled in their precision, ease of use, and reliability. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, gender identity, social orientation, nor on the basis of disability. Posted positions are not open to third party recruiters/agencies and unsolicited resume submissions will be considered free referrals. If you are an individual with a disability and require reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Picarro, Inc. at disabilityassistance@picarro.com for assistance. Show more Show less

TCS is conducting Virtual drive on Friday dated 11th June, 2025 Position: AI Engineer Location: Pune Years of Experience: 5-9 yrs(Accurate) Notice Period: Immediate Joiners or 0-30 days NP (Note: Candidates sharing details below experience range will not be considered) Responsibilities: Strong understanding of machine learning techniques, including deep learning, reinforcement learning, and predictive modeling. Demonstrable experience in AI, ML, NLP, or related fields, with a robust portfolio showcasing practical application of these technologies. Proficient in Python and familiar with frameworks for AI development, such as TensorFlow, PyTorch, Keras, scikit-learn, NLTK, Lang chain. Experience in utilizing Python libraries such as NumPy, Pandas, Matplotlib, Plotly Proficient in programming languages such as Python Experience with ML, deep learning, TensorFlow, Python, NLP Experience in program leadership, governance, and change enablement Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns Experience in REST API development, NoSQL database design, and RDBMS design and optimizations Familiarity with modern data platforms and cloud services like AWS, Azure for deploying scalable AI solutions. Kindly attach your updated CVs Thanks & Regards Shilpa Silonee Show more Show less

About Energy Exemplar In an era where the world is rapidly advancing towards a cleaner future through decarbonization, stakeholders from across the entire energy value chain are having to navigate the complexities of the energy ecosystem. We seek to enable our customers to do so with confidence . Our mission: Empowering Transformative Energy Decisions. Founded in 1999 in Adelaide, Australia, Energy Exemplar’s PLEXOS ® modeling and simulation software is trusted by innovative organizations across the globe. On one unified platform, stakeholders from across the entire energy value chain are revolutionizing the energy ecosystem and seamlessly planning for the future of energy with unprecedented clarity, speed, and innovation. Our impact is global and is being recogni z ed across the industry : Finalist for the 2024 Reuters Global Energy Transition Awards in the 'Technologies of Change' category Finalist for the 2024 Go:Tech Awards in the 'Most Innovative Use of Technology’ category 2022 USEA/USAID Corporate Volunteer of the Year 2022 Impact Award Winner for our impact on the energy industry and the current energy transition At Energy Exemplar, we believe in empowering our people by offering flexibility in how, when, and where they work. This flexibility has been a cornerstone of our success, fueling significant growth over the years, with the company expanding at an impressive rate of approximately 30% year over year . We understand that the best results come when our team members can balance their professional and personal lives, so we support various working arrangements that help you thrive. We don’t just celebrate the excellence of our product s but champion the quality of our people. They own their outcomes and perform to their best – every day. whether you're working from home, in the office, or on the go. Our flexible work culture fosters innovation, collaboration, and trust, making it easier to stay engaged and connected, no matter where you are. That’s what makes us who we are and a great place to work. Our core values ‘Customer Success ’ , ‘One Global Team ’ , ‘Integrity and Ownership’ and ‘Innovation Excellence’ reflect the way we work and are always a t the forefront of everything we do . About Energy Exemplar In an era where the world is rapidly advancing towards a cleaner future through decarbonization, stakeholders from across the entire energy value chain are having to navigate the complexities of the energy ecosystem. We seek to enable our customers to do so with confidence. Our mission: Empowering Transformative Energy Decisions. Founded in 1999 in Adelaide, Australia, Energy Exemplar’s award-winning PLEXOS® modeling and simulation software is trusted by innovative organizations across the globe. On one unified platform, stakeholders from across the entire energy value chain are revolutionizing the energy ecosystem and seamlessly planning for the future of energy with unprecedented clarity, speed, and innovation. Our impact is global and is being recognized across the industry: Finalist for the 2024 Reuters Global Energy Transition Awards in the 'Technologies of Change' category Finalist for the 2024 Go:Tech Awards in the 'Most Innovative Use of Technology’ category 2022 USEA/USAID Corporate Volunteer of the Year 2022 Impact Award Winner for our impact on the energy industry and the current energy transition Energy Exemplar has grown significantly over the past few years, and we are continuing to do so at around 30% year on year. We don’t just celebrate the excellence of our products but champion the quality of our people. They own their outcomes and perform to their best – every day. That’s what makes us who we are and a great place to work. Our core values ‘Customer Success’ , ‘One Global Team’ , ‘Integrity and Ownership’ and ‘Innovation Excellence’ reflect the way we work and are always at the forefront of everything we do. About the Position We are a cutting-edge cloud-based SaaS company focused on automating and transforming data-driven workflows. Our Content Development Team develops Excel-based automation solutions using VBA, and we are transitioning to Python-based automation for better scalability, efficiency, and visualization. Candidate Requirements & Qualifications Develop, enhance, and maintain Excel-based solutions using VBA and Python Fetch and process data from external APIs into Excel Automate data representation using charts and dashboards Implement interactive graphs using Plotly, Dash, or Matplotlib Work with pandas, NumPy, and Excel file structures (XLSX, CSV, XML) Follow Agile development processes Skills Required 8+ years of experience in Excel automation (VBA, Power Query, or equivalent) Proficiency in Python for automation and API integrations Experience with RESTful APIs Basic knowledge of data visualization libraries (Plotly, Dash, Matplotlib) Familiarity with Agile methodologies Desired but not required (not needed for every position) Experience with Flask/Django for web automation Knowledge of SQL and database management Energy Exemplar is an equal opportunities employer and we value your unique identity and perspective. We are fully committed to providing and fostering a workplace that reflects the diversity of society. Bring your authentic self and help us build an inclusive world together! To support you in being the best version of yourself during the application and interview process, please let us know if you have any specific requirements. Energy Exemplar is an equal opportunities employer and we value your unique identity and perspective . We are fully committed to providing and fostering a workplace that reflects the diversity of society. Bring your authentic self and help us build an inclusive world together! To support you in being the best version of yourself during the application and interview process, please let us know if you have any specific requirements. Show more Show less

Join the Commodities and Global Markets Trading team as a data engineer professional in the Power & Gas division. Our team is responsible for identifying, planning, and implementing data solutions for enterprise data using data modelling techniques by leveraging technology and data analytics. This would also involve creating supply and demand models focused on analysing power markets. At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 31 markets and with 56 years of unbroken profitability. You’ll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes. What role will you play? In this role, you will utilize advanced modelling techniques (ex. regression, classification algorithms) to determine the relationship between energy market variables and maintain/develop data visualization dashboards with the evolving needs of the trading desk and broader research via Plotly Dash, Bokeh, and/or other Python based dashboards. You will also assist in the development of the team’s short to medium-term outlook and participate in discussions centered on power and gas. What You Offer Bachelor's degree in Engineering, Data Analytics, Data Science, MIS, Computer Science, or equivalent experience. Minimum 3 years of experience building data solutions for advanced analytics. 2-4 years of hands-on experience in Python, SQL, R, and JavaScript. Proficient in data integration, data pipelines, and manipulating large data sets using SQL and Power BI. Ability to translate business requirements into data models and experienced with Dataiku and web-based applications. We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply. About Commodities and Global Markets Commodities and Global Markets is a global business offering capital and financing, risk management, market access, physical execution and logistics solutions to its diverse client base across Commodities, Financial Markets and Asset Finance. Our commitment to diversity, equity and inclusion We are committed to fostering a diverse, equitable and inclusive workplace. We encourage people from all backgrounds to apply and welcome all identities, including race, ethnicity, cultural identity, nationality, gender (including gender identity or expression), age, sexual orientation, marital or partnership status, parental, caregiving or family status, neurodiversity, religion or belief, disability, or socio-economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process. Our aim is to provide reasonable adjustments to individuals who may need support during the recruitment process and through working arrangements. If you require additional assistance, please let us know in the application process. Show more Show less

Job Description Responsibilities: Implement data pipelines that meet design and are efficient, scalable, and maintainable Implement best practices including proper use of source control, participation in code reviews, data validation and testing Timely deliveries while working on projects Act as advisor/mentor and helps junior data engineers in their deliverables Must Have Skills: Should have experience of at least 4+ years with Data Engineering Strong experience of design, implementation and fine-tuning big data processing pipelines in production environment Experience with big tools like Hadoop, Spark, Kafka, Hive, Databricks Experience in programming at least one of with Python, Java, Scala, Shell Script Experience with relational SQL and NO SQL databases like PostgresSQL, MYSQL, Cassandra etc. Experience with any data visualization tool (Plotly, Tableau, Power BI, Google Data Studio, Quick sight etc.) Good To Have Skills: Should have Basic Knowledge of CI/CD Pipeline Experience in working on at least one Cloud (AWS or Azure or GCP) For AWS: - Experience with AWS Cloud services like EC2, S3, EMR, RDS, Athena, Glue, Lambda, EMR For Azure: -Experience with Azure Cloud services like Azure Blob/Data Lake GEN2, Delta Lake, Databricks, Azure SQL, Azure DevOps, Azure Data Factory, Power BI For GCP: - Experience with GCP Cloud services Big Query, Cloud Storage bucket, DataProc, Dataflow, Pub Sub, Cloud Function, Data Studio Sound familiarity in Versioning tools (Git, SVN etc.) Experience Mentoring students is desirable Knowledge of latest developments in Machine Learning, Deep Learning, Optimization in Automotive domain. Open minded approach to explore multiple algorithms to design optimal solution. History of contribution to articles/blogs/whitepapers etc. in Analytics History of contribution to Open Source. Required Skills Data Engineering,Hadoop,Kafka,CI/CD,Cloud Supported Skills Show more Show less

About Energy Exemplar In an era where the world is rapidly advancing towards a cleaner future through decarbonization, stakeholders from across the entire energy value chain are having to navigate the complexities of the energy ecosystem. We seek to enable our customers to do so with confidence. Our mission: Empowering Transformative Energy Decisions. Founded in 1999 in Adelaide, Australia, Energy Exemplar’s PLEXOS® modeling and simulation software is trusted by innovative organizations across the globe. On one unified platform, stakeholders from across the entire energy value chain are revolutionizing the energy ecosystem and seamlessly planning for the future of energy with unprecedented clarity, speed, and innovation. Our impact is global and is being recognized across the industry: Finalist for the 2024 Reuters Global Energy Transition Awards in the 'Technologies of Change' category Finalist for the 2024 Go:Tech Awards in the 'Most Innovative Use of Technology’ category 2022 USEA/USAID Corporate Volunteer of the Year 2022 Impact Award Winner for our impact on the energy industry and the current energy transition At Energy Exemplar, we believe in empowering our people by offering flexibility in how, when, and where they work. This flexibility has been a cornerstone of our success, fueling significant growth over the years, with the company expanding at an impressive rate of approximately 30% year over year. We understand that the best results come when our team members can balance their professional and personal lives, so we support various working arrangements that help you thrive. We don’t just celebrate the excellence of our products but champion the quality of our people. They own their outcomes and perform to their best – every day. whether you're working from home, in the office, or on the go. Our flexible work culture fosters innovation, collaboration, and trust, making it easier to stay engaged and connected, no matter where you are. That’s what makes us who we are and a great place to work. Our core values ‘Customer Success’ , ‘One Global Team’ , ‘Integrity and Ownership’ and ‘Innovation Excellence’ reflect the way we work and are always at the forefront of everything we do. About Energy Exemplar In an era where the world is rapidly advancing towards a cleaner future through decarbonization, stakeholders from across the entire energy value chain are having to navigate the complexities of the energy ecosystem. We seek to enable our customers to do so with confidence. Our mission: Empowering Transformative Energy Decisions. Founded in 1999 in Adelaide, Australia, Energy Exemplar’s award-winning PLEXOS® modeling and simulation software is trusted by innovative organizations across the globe. On one unified platform, stakeholders from across the entire energy value chain are revolutionizing the energy ecosystem and seamlessly planning for the future of energy with unprecedented clarity, speed, and innovation. Our impact is global and is being recognized across the industry: Finalist for the 2024 Reuters Global Energy Transition Awards in the 'Technologies of Change' category Finalist for the 2024 Go:Tech Awards in the 'Most Innovative Use of Technology’ category 2022 USEA/USAID Corporate Volunteer of the Year 2022 Impact Award Winner for our impact on the energy industry and the current energy transition Energy Exemplar has grown significantly over the past few years, and we are continuing to do so at around 30% year on year. We don’t just celebrate the excellence of our products but champion the quality of our people. They own their outcomes and perform to their best – every day. That’s what makes us who we are and a great place to work. Our core values ‘Customer Success’ , ‘One Global Team’ , ‘Integrity and Ownership’ and ‘Innovation Excellence’ reflect the way we work and are always at the forefront of everything we do. About The Position We are a cutting-edge cloud-based SaaS company focused on automating and transforming data-driven workflows. Our Content Development Team develops Excel-based automation solutions using VBA, and we are transitioning to Python-based automation for better scalability, efficiency, and visualization. Candidate Requirements & Qualifications Develop, enhance, and maintain Excel-based solutionsusing VBA and Python Fetch and process data from external APIsinto Excel Automate data representationusing charts and dashboards Implement interactive graphs using Plotly, Dash, or Matplotlib Work with pandas, NumPy, and Excel file structures (XLSX, CSV, XML) Follow Agile development processes Skills Required 3-5 yearsof experience in Excel automation (VBA, Power Query, or equivalent) Proficiency in Pythonfor automation and API integrations Experience with RESTful APIs Basic knowledge of data visualization libraries(Plotly, Dash, Matplotlib) Familiarity with Agile methodologies Desired But Not Required (not Needed For Every Position) Experience with Flask/Djangofor web automation Knowledge of SQL and database management Energy Exemplar is an equal opportunities employer and we value your unique identity and perspective. We are fully committed to providing and fostering a workplace that reflects the diversity of society. Bring your authentic self and help us build an inclusive world together! To support you in being the best version of yourself during the application and interview process, please let us know if you have any specific requirements. Energy Exemplar is an equal opportunities employer and we value your unique identity and perspective. We are fully committed to providing and fostering a workplace that reflects the diversity of society. Bring your authentic self and help us build an inclusive world together! To support you in being the best version of yourself during the application and interview process, please let us know if you have any specific requirements. Show more Show less

CryptoChakra is a forward-thinking cryptocurrency analytics and education platform committed to making data-driven insights accessible and actionable for users worldwide. As we scale our operations and enhance our offerings, we prioritize transparency, innovation, and user-centric design. Our team is dedicated to transforming complex blockchain data into clear, compelling visual narratives that empower decision-making and foster crypto literacy. Role Description Position: Fresher Data Visualisation Analyst – Remote Employment Type: Internship (Paid or unpaid, depending on suitability and project requirements) Key Responsibilities: Data Visualisation Design: Create engaging and intuitive charts, graphs, dashboards, and infographics to communicate trends, patterns, and insights from cryptocurrency market data. Data Interpretation: Collaborate with data analysts and product teams to understand analysis results and translate them into visually compelling stories for diverse audiences. Tool Proficiency: Utilize industry-standard visualisation tools such as Tableau, Power BI, or Python libraries (Matplotlib, Seaborn, Plotly) to build interactive dashboards and reports. Data Quality: Assist in reviewing and validating datasets to ensure accuracy and relevance for visualisation purposes. Stakeholder Communication: Present visualisations and findings to internal teams and stakeholders, ensuring clarity and actionable insights for both technical and non-technical audiences. Collaborative Innovation: Work closely with data scientists, engineers, and product managers to refine visualisation requirements and enhance the overall user experience. Documentation: Maintain documentation of visualisation methodologies, data sources, and design choices for transparency and future reference. Learning Outcomes: Hands-on Experience: Gain practical experience with real-world crypto datasets and advanced visualisation tools in a fintech environment. Skill Development: Learn best practices in data storytelling, dashboard design, and user interface principles. Mentorship: Receive guidance from experienced data visualisation specialists and blockchain professionals. Qualifications Core Requirements: Analytical Mindset: Strong interest in data analysis and the ability to interpret complex datasets. Technical Skills: Familiarity with data visualisation tools (Tableau, Power BI, or Python libraries) and basic data manipulation techniques (Excel, SQL). Design Sensibility: Eye for design, including layout, color theory, and accessibility in visual communication. Communication: Excellent written and verbal skills to present findings clearly and collaborate with cross-functional teams. Remote Work Ethic: Self-motivated, organized, and able to work independently in a distributed team. Academic Background: Pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Graphic Design, or a related field. Preferred Assets: Portfolio: Showcase of past visualisation projects (GitHub, Tableau Public, or academic work). Blockchain/Crypto Interest: Curiosity about cryptocurrency markets or blockchain technology. UI/UX Basics: Understanding of user experience principles for dashboard usability. Why Join CryptoChakra? Impactful Contribution: Help shape how crypto data is understood and acted upon by users worldwide. Professional Growth: Develop expertise in data visualisation, analytics, and fintech innovation. Flexible Environment: Enjoy remote work, mentorship, and opportunities to contribute to exciting projects. Show more Show less

Role Overview As a Data Science Analyst at Jai Kisan, you will play a critical role in transforming data into actionable insights to inform strategic business decisions. You’ll work cross-functionally with product, engineering, operations, and leadership teams to unlock the full potential of data through advanced analytics, automation, and AI-driven insights. This role requires a solid foundation in data handling, modern analytics tooling, and a deep curiosity for leveraging emerging technologies like LLMs, vector databases, and cloud-native platforms. Key Responsibilities Collect, clean, preprocess, and validate datasets from diverse structured and unstructured sources including APIs, data lakes, and real-time streams. Conduct exploratory data analysis (EDA) to identify trends, correlations, and business opportunities using statistical and machine learning techniques. Build, maintain, and optimize scalable data pipelines using Airflow, dbt, or Dagster to support both batch and real-time analytics. Develop and deploy AI/ML models, including LLM-based applications, for predictive analytics, recommendation systems, and automation use cases. Work with vector databases (e.g., Pinecone, Weaviate, Chroma) for semantic search and embedding-based applications. Design and manage dashboards and self-serve analytics tools using Power BI, Looker Studio, or Tableau to enable data-driven decisions. Collaborate with backend and data engineers to integrate data solutions into microservices and APIs. Interpret and clearly communicate complex analytical findings to stakeholders, including non-technical teams. Stay ahead of industry trends including AI advancements, data governance, MLOps, vector search, and cloud-native services. Required Skills & Technologies Databases: Proficient in SQL, PostgreSQL, MongoDB, with working knowledge of vector databases (e.g., Pinecone, FAISS, Weaviate). Languages & Tools: Strong programming experience in Python (pandas, NumPy, scikit-learn, LangChain, PyTorch/TensorFlow), SQL, and optionally R. Data Workflow Tools: Experience with Apache Airflow, dbt, Dagster, or similar tools. BI & Visualization: Proficiency in Power BI, Tableau, Looker Studio, Plotly, or Matplotlib. AI/ML: Exposure to LLMs (GPT, BERT, etc.), embedding models, and AI prompt engineering for analytics augmentation. Data APIs & Embeddings: Familiarity with OpenAI, Cohere, Hugging Face APIs for vector search and semantic understanding. Cloud Platforms: Hands-on experience with AWS, GCP, or Azure, especially with services like S3, BigQuery, Redshift, Athena, or Azure Synapse. Version Control & DevOps: Experience using Git, CI/CD pipelines, and Docker is a plus. Qualifications Bachelor's or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Economics, or a related field. 1–3 years of hands-on experience in a data analysis or applied machine learning role. Strong problem-solving and storytelling abilities with a deep sense of ownership. Excellent communication and collaboration skills; ability to translate technical findings into business impact. Good To Have Experience in MCP (Multi-Cloud Platforms) and cloud-agnostic data pipelines. Understanding of data mesh, data fabric, or modern data stack architectures. Contributions to open-source analytics tools or AI projects. Knowledge of data privacy, compliance standards (GDPR, SOC2), and data security best practices. Show more Show less

Main Responsibilities Participating in the design and development of end-to-end data science analytics solutions using associated technologies Independent development of the problem solution steps and coding functionalities and its implementation by analysis of input and desired output Perform data preprocessing, harmonization, and feature engineering to prepare modeling datasets. Job Requirement Bachelor’s or Master’s degree in Computer Science, Data science, Data Analytics or a similar fields 2-4 years of working experience Advance knowledge in Python programming and experiences in data science using Python (familiar with the libraries Pandas, Scikit-learn, Streamlit, SpaCy, Gensim, NLTK, re, Plotly, Matplotlib, huggingface, transformer, openai, Langchain) Professional experience in the development of web applications such as WebApps and REST APIs with JavaScript frameoworks and with Python Experience with PowerApps and PowerAutomate Experience with data visualization techniques such as PowerBI etc. Experience in Machine Learning especially in the field of supervised machine learning and classification (create, train, apply classifier and evaluate results) Experience in regular expressions and natural language processing creating preprocessing pipelines) Familiar with and comfortable using the latest technological tools, including ChatGPT Working experience with LLMs (incorporate LLMs in WebApps to solve business tasks) and creating prompts for various tasks utilizing Langchain Primary location BASF Innovation campus at Turbhe, Navi Mumbai Job Information technology/Service Show more Show less

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

Data Scientist – Roles And Responsibilities We are seeking an experienced Senior Data Scientist to lead advanced analytics initiatives focused on marketing strategies for our insurance carrier. The ideal candidate will have deep expertise in marketing analytics, leveraging data to optimize customer acquisition, retention, and segmentation within the insurance industry (e.g., Life & Annuity, Property & Casualty). You will drive data-driven decision-making by developing sophisticated models, collaborating with cross-functional teams, and delivering actionable insights to enhance marketing performance and business outcomes. Key Responsibilities Marketing Analytics : Design and implement advanced analytical models to optimize marketing campaigns, customer segmentation, and lifetime value (CLV) prediction for insurance products. Customer Segmentation: Apply unsupervised learning techniques (e.g., K-Means, Hierarchical Clustering) to identify high-value customer segments using internal and external data sources. Predictive Modeling : Develop and deploy machine learning models for churn prediction, cross-selling opportunities, and personalized marketing recommendations, ensuring alignment with insurance underwriting and pricing strategies. Campaign Optimization : Analyze marketing campaign performance (e.g., email, digital ads, direct mail) using A/B testing and attribution modeling to maximize ROI and customer engagement. Data Integration : Collaborate with data engineers to integrate diverse datasets, including policy administration systems (e.g., policy details, claims data), CRM platforms, and external sources (e.g., consumer purchase data, geospatial information) for comprehensive analysis. Visualization & Reporting : Create intuitive dashboards and visualizations using tools like Power BI, Tableau, or Python libraries (e.g., Seaborn, Plotly) to communicate insights to marketing, underwriting, and executive stakeholders. Cross-Functional Collaboration : Partner with marketing, actuarial, and product teams to align analytics with business objectives, such as improving customer retention or targeting underserved markets. Show more Show less

About Calfus Calfus is a Silicon Valley headquartered software engineering and platforms company. The name Calfus finds its roots and ethos in the Olympic motto “Citius, Altius, Fortius – Communiter". Calfus seeks to inspire our team to rise faster, higher, stronger, and work together to build software at speed and scale. Our core focus lies in creating engineered digital solutions that bring about a tangible and positive impact on business outcomes. We stand for #Equity and #Diversity in our ecosystem and society at large. Connect with us at #Calfus and be a part of our extraordinary journey! Position Overview: As a Data Engineer – BI Analytics & DWH , you will play a pivotal role in designing and implementing comprehensive business intelligence solutions that empower our organization to make data-driven decisions. You will leverage your expertise in Power BI, Tableau, and ETL processes to create scalable architectures and interactive visualizations. This position requires a strategic thinker with strong technical skills and the ability to collaborate effectively with stakeholders at all levels. Key Responsibilities:  BI Architecture & DWH Solution Design: Develop and design scalable BI Analytical & DWH Solution that meets business requirements, leveraging tools such as Power BI and Tableau.  Data Integration: Oversee the ETL processes using SSIS to ensure efficient data extraction, transformation, and loading into data warehouses.  Data Modelling: Create and maintain data models that support analytical reporting and data visualization initiatives.  Database Management: Utilize SQL to write complex queries, stored procedures, and manage data transformations using joins and cursors.  Visualization Development: Lead the design of interactive dashboards and reports in Power BI and Tableau, adhering to best practices in data visualization.  Collaboration: Work closely with stakeholders to gather requirements and translate them into technical specifications and architecture designs.  Performance Optimization: Analyse and optimize BI solutions for performance, scalability, and reliability.  Data Governance: Implement best practices for data quality and governance to ensure accurate reporting and compliance.  Team Leadership: Mentor and guide junior BI developers and analysts, fostering a culture of continuous learning and improvement.  Azure Databricks: Leverage Azure Databricks for data processing and analytics, ensuring seamless integration with existing BI solutions. Qualifications :  Bachelor’s degree in computer science, Information Systems, Data Science, or a related field.  6-15+ years of experience in BI architecture and development, with a strong focus on Power BI and Tableau.  Proven experience with ETL processes and tools, especially SSIS. Strong proficiency in SQL Server, including advanced query writing and database management.  Exploratory data analysis with Python  Familiarity with the CRISP-DM model  Ability to work with di􀆯erent data models like  Familiarity with databases like Snowflake, Postgres, Redshift & Mongo DB  Experience with visualization tools such as Power BI, Quick sight and Plotly and or Dash  Strong programming foundation with Python with versatility to handle as : Data Manipulation and Analysis: using Pandas, NumPy & PySpark Data serialization & formats like JSON, CSV and Parquet & Pickle Database interaction to query cloud-based data warehouses Data Pipeline and ETL tools like Airflow for orchestrating workflows and, managing ETL pipelines: Scripting and automation . Cloud services & tools such as S3, AWS Lambda to manage cloud infrastructure. Azure SDK is a plus  Code quality and management using version control and collaboration in data engineering projects  Ability to interact with REST API’s and perform web scraping tasks is a plus Calfus Inc. is an Equal Opportunity Employer. That means we do not discriminate against any applicant for employment, or any employee because of age, colour, sex, disability, national origin, race, religion, or veteran status. All employment is decided based on qualifications, merit, and business need. Show more Show less

We are looking for a highly motivated and detail-oriented Data Scientist with 2–3 years of experience to join our growing team. The ideal candidate will have strong analytical skills, a solid foundation in machine learning, and the ability to translate data into actionable insights that drive business decisions. Responsibilities: Collect, clean, and preprocess structured and unstructured data from various sources. Develop, implement, and evaluate predictive models and machine learning algorithms. Perform statistical analyses to extract insights and support business strategies. Visualize and communicate results to stakeholders through dashboards, reports, and presentations. Collaborate with cross-functional teams to define data-driven approaches for business problems. Monitor and improve the performance of deployed models. Stay current with the latest research and developments in data science and machine learning. Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. 2–3 years of hands-on experience in data science, machine learning, or a related role. Strong proficiency in Python and its data science libraries (Pandas, NumPy, Scikit-learn, etc.). Experience with data visualization tools like Power BI, Tableau, or Plotly. Solid understanding of statistical methods, data modeling, and algorithm design. Experience working with SQL and NoSQL databases. Familiarity with cloud platforms (e.g., AWS, Azure, or GCP) is a plus. Strong problem-solving skills and attention to detail. Excellent communication and teamwork skills. Show more Show less

Location: Hyderabad, IN Employment type: Employee Place of work: Office Offshore/Onshore: Onshore TechnipFMC is committed to driving real change in the energy industry. Our ambition is to build a sustainable future through relentless innovation and global collaboration – and we want you to be part of it. You’ll be joining a culture that values curiosity, expertise, and ideas as well as diversity, inclusion, and authenticity. Bring your unique energy to our team of more than 20,000 people worldwide, and discover a rewarding, fulfilling, and varied career that you can take in anywhere you want to go. Job Purpose Seeking a skilled Python Developer to join our team and help us develop applications and tooling to streamline in-house engineering design processes with a continuous concern for quality, targets, and customer satisfaction. Job Description 1.Write clean and maintainable Python code using PEP guidelines 2. Build and maintain software packages for scientific computing 3. Build and maintain command line interfaces (CLIs) 4. Build and maintain web applications and dashboards 5. Design and implement data analysis pipelines 6. Create and maintain database schemas and queries 7. Optimise code performance and scalability 8. Develop and maintain automated tests to validate software 9. Contribute and adhere to team software development practices, e.g., Agile product management, source code version control, continuous integration/deployment (CI/CD) 10. Build and maintain machine learning models (appreciated, but not a prerequisite) Technical Stack 1. Languages: Python, SQL 2. Core libraries: Scipy, Pandas, NumPy 3. Web frameworks: Streamlit, Dash, Flask 4. Visualisation: Matplotlib, Seaborn, Plotly 5. Automated testing: pytest 6. CLI development: Click, Argparse 7. Source code version control: Git 8. Agile product management: Azure DevOps, GitHub 9. CI/CD: Azure Pipelines, Github Actions, Docker 10. Database systems: PostgreSQL, Snowflake, SQlite, HDF5 11. Performance: Numba, Dask 12. Machine Learning: Scikit-learn, TensorFlow, PyTorch (Desired) You are meant for this job if: • Bachelor's degree in computer science or software engineering • Master's degree is a plus• Strong technical basis in engineering • Presentation skills • Good organizational and problem-solving skills • Service/Customer oriented • Ability to work in a team-oriented environment • Good command of English Skills Spring Boot Data Modelling CI/CD Internet of Things (IoT) Jira/Confluence React/Angular SAFe Scrum Kamban Collaboration SQL Bash/Shell/Powershell AWS S3 AWS lambda Cypress/Playwright Material Design Empirical Thinking Agility Github HTML/CSS Javascript/TypeScript GraphQL Continuous Learning Cybersecurity Computer Programming Java/Kotlin Test Driven Development Being a global leader in the energy industry requires an inclusive and diverse environment. TechnipFMC promotes diversity, equity, and inclusion by ensuring equal opportunities to all ages, races, ethnicities, religions, sexual orientations, gender expressions, disabilities, or all other pluralities. We celebrate who you are and what you bring. Every voice matters and we encourage you to add to our culture. TechnipFMC respects the rights and dignity of those it works with and promotes adherence to internationally recognized human rights principles for those in its value chain. Date posted: Jun 2, 2025 Requisition number: 13580