1515 Matplotlib Jobs - Page 18

The role involves supporting the European ESG team in focusing on thematic trends across regional & sectoral aggregates and individual stocks related to Environment, Social, and Governance guidelines. As part of this role, your primary responsibilities will include developing and maintaining excel models to assess fund ownership for Global companies, sectors, and regions. You will be required to conduct thorough data quality checks on third party ESG data using financial databases and company filings to ensure the reliability of data for modeling purposes. Additionally, creating, updating, and managing comprehensive Excel databases on ESG data will be part of your routine tasks. You will also be involved in assisting the team in conducting back-tests of ESG related strategies, utilizing quantitative techniques to analyze historical and future trends. Furthermore, you will contribute to research report writing and summarizing peer research on thematic topics, primarily related to investment strategy for ESG investors. Supporting the onshore team on a daily basis, handling ad-hoc requests, and analyzing macro-level ESG trends for thematic reports will also be within your scope of work. The ideal candidate for this role would be proactive, possess experience in top-down macro research, have basic knowledge of Python coding, and demonstrate a keen interest in working within the ESG domain. Key skills required include advanced proficiency in MS Excel and report writing. Prior experience with VBA macros and Python, especially with libraries such as Numpy, Pandas, and Matplotlib, is preferred. Additionally, familiarity with financial databases like Bloomberg Finance LP, Datastream Eikon, or similar platforms, along with knowledge of various company filings, is desirable. A fundamental understanding of finance, including valuations, financial ratios, and the ability to extract data from company filings, would be beneficial for this role.,

About Us Fireblaze AI School is a part of Fireblaze Technologies which was started in April 2018 with a Vision to Up-Skill and Train in emerging technologies. Mission Statement “To Provide Measurable & Transformational Value To Learners Career” Vision Statement ““To Be The Most Successful & Respected Job-Oriented Training Provider Globally.” We Focus widely on creating a huge digital impact. Hence Our Strong Presence over Digital Platforms are a must have thing for use. Below Are the links to all the social media channels. Website - http://fireblazeaischool.in LinkedIN - https://www.linkedin.com/company/fireblazeaischool/ Youtube - https://www.youtube.com/c/FireblazeAISchool Facebook - https://www.facebook.com/fireblazeaischool/ Instagram - https://www.instagram.com/fireblazeaischool/ Twitter - https://twitter.com/FireblazeAi Google Nagpur - https://g.page/fireblazeaischoolnagpur?share Google Pune - https://g.page/fireblazeaischoolpune?share Spotify Podcast - https://open.spotify.com/show/0VXm4ikfRG29UcwlMnaDNJ Job Description Job Title : Data Analyst Location: Ahmedabad Employment Type: Full-Time (Night Shift) Salary: As per the interview Job Summary We are looking for a detail-oriented and analytical Data Analyst who is proficient in Python, Machine Learning, SQL, Power BI, and Advanced Excel. The ideal candidate will be responsible for data wrangling, statistical modeling, visualization, and reporting to support data-driven decision-making. Key Responsibilities Collect, process, and clean large datasets from multiple sources. Perform exploratory data analysis (EDA) to identify trends and patterns. Develop and deploy Machine Learning models for predictive and classification tasks. Write optimized SQL queries to extract and manipulate data. Create interactive dashboards and reports using Power BI. Utilize Advanced Excel functions (Pivot Tables, VLOOKUP, Macros, etc.) for data analysis and reporting. Present findings to stakeholders in a clear and concise manner. Collaborate with cross-functional teams to understand business requirements and translate them into data solutions. Requirements Required Skills & Qualifications: Proficiency in Python with libraries such as Pandas, NumPy, Matplotlib, Scikit-learn. Strong knowledge of Machine Learning algorithms (Regression, Classification, Clustering, etc.). Experience with SQL for data extraction, joins, and performance tuning. Hands-on experience in building dashboards and reports using Power BI. Advanced knowledge of MS Excel including formulas, data modeling, and automation. Good problem-solving and communication skills. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#FF6A0E;border-color:#FF6A0E;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered="">

Roles And Responsibilies Design, develop, and maintain scalable web applications and APIs using Django, Flask, and FastAPI . Write clean, efficient, and maintainable Python code following best practices. Develop RESTful services and integrate with front-end components. Work with NumPy and pandas for data manipulation and processing as needed. Optimize application performance and ensure scalability. Collaborate with cross-functional teams including front-end developers, designers, and product managers. Write and maintain comprehensive technical documentation. Perform code reviews and mentor junior team members.

Company Description We at Prometteur Solutions Pvt. Ltd. are a team of IT experts, who came with a promise of delivering technology-empowered business solutions. We provide world-class software and web development services that focus on playing a supportive role to your business and its holistic growth. Our highly-skilled associates and global delivery capabilities ensure the accessibility and scale to align client's technology solutions with their business needs. Our offerings span the entire IT lifecycle: from Consulting through Packaged, Custom, and Cloud Applications as well as a variety of Infrastructure Services. Job Description Looking For Only Freshers Requirements: Collaborate with the team to design, develop, and maintain web applications using Python. Write clean, efficient, and reusable code following best practices. Troubleshoot and debug issues in existing applications. Database design and management. Participate in code reviews and contribute to team knowledge sharing. Learn and adapt to new technologies, frameworks, and development tools. Skills: Good Understanding of web frameworks like Flask or Django. Good familiarity with libraries like NumPy, Pandas (for data manipulation), and Matplotlib (for simple visualizations). Good Understanding of loops, data types, condition decision statement Good understanding Of OOPs concepts Familiarity with HTML, CSS, JavaScript, and jQuery. Knowledge of MySQL or any other relational database Familiarity with version control tools like Git (added advantage). Educational Qualification: Bachelor's degree in computer science, IT, or related fields

Project Role : Data Science Practitioner Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values. Must have skills : Data Science Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Science Practitioner, you will be engaged in formulating, designing, and delivering AI and machine learning-based decision-making frameworks and models that drive business outcomes. Your typical day will involve collaborating with various teams to measure and justify the value of AI and machine learning solutions, ensuring that they align with organizational goals and deliver tangible results. You will also be responsible for analyzing data, developing predictive models, and providing insights that support strategic decision-making across the organization. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.- Continuously evaluate and improve existing AI/ML models to ensure optimal performance and relevance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong analytical skills with the ability to interpret complex data sets.- Experience with programming languages such as Python or R for data analysis.- Familiarity with machine learning frameworks and libraries, including TensorFlow or Scikit-learn.- Knowledge of data visualization tools to effectively communicate insights. Additional Information:- The candidate should have minimum 5 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Job Title: Python Microservices Developer with AI Integration Experience: 5+ Years Location: Gurugram, India Job Type: Full-Time Work Mode: Onsite Job Overview: We are seeking a highly skilled Python Developer with experience in building microservices-based architectures and integrating AI/ML models into enterprise systems. The ideal candidate will work closely with data scientists, DevOps, and backend teams to create intelligent, scalable, and production-ready systems. Key Responsibilities: Design, develop, and deploy robust Python microservices for high-performance applications Collaborate with AI/ML teams to integrate trained models into microservices for real-time inference Build and maintain RESTful APIs to expose microservices and AI features Ensure high availability, performance, and security of microservices in production Optimize data pipelines and backend processes for scalability Participate in code reviews, architecture discussions, and agile ceremonies Monitor and troubleshoot microservices in production environments Required Skills & Experience: 5+ years of professional experience with Python and microservices architecture Strong knowledge of FastAPI , Flask , or Django REST Framework Experience deploying or integrating AI/ML models (e.g., scikit-learn, TensorFlow, PyTorch, OpenAI, Hugging Face) Familiarity with containerization and orchestration tools like Docker and Kubernetes Hands-on experience with REST APIs , JSON , and message queues (Kafka/RabbitMQ) Experience working with cloud platforms (AWS, GCP, or Azure) and CI/CD pipelines Proficient in using databases (SQL & NoSQL PostgreSQL, MongoDB, etc.) Preferred Qualifications: Exposure to AI/ML model deployment , model versioning, and inference best practices Experience using MLflow , Airflow , or similar workflow tools Familiarity with monitoring tools like Prometheus, Grafana, or ELK stack Strong understanding of software design principles and performance optimization

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. The Defender Experts (DEX) Research team is at the forefront of Microsoft’s threat protection strategy, combining world-class hunting expertise with AI-driven analytics to protect customers from advanced cyberattacks. Our mission is to move protection left—disrupting threats early, before damage occurs—by transforming raw signals into intelligence that powers detection, disruption, and customer trust. We’re looking for a passionate and curious Data Scientist to join this high-impact team. In this role, you'll partner with researchers, hunters, and detection engineers to explore attacker behavior, operationalize entity graphs, and develop statistical and ML-driven models that enhance DEX’s detection efficacy. Your work will directly feed into real-time protections used by thousands of enterprises and shape the future of Microsoft Security. This is an opportunity to work on problems that matter—with cutting-edge data, a highly collaborative team, and the scale of Microsoft behind you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Understand complex cybersecurity and business problems, translate them into well-defined data science problems, and build scalable solutions. Design and build robust, large-scale graph structures to model security entities, behaviors, and relationships. Develop and deploy scalable, production-grade AI/ML systems and intelligent agents for real-time threat detection, classification, and response. Collaborate closely with Security Research teams to integrate domain knowledge into data science workflows and enrich model development. Drive end-to-end ML lifecycle: from data ingestion and feature engineering to model development, evaluation, and deployment. Work with large-scale graph data: create, query, and process it efficiently to extract insights and power models. Lead initiatives involving Graph ML, Generative AI, and agent-based systems, driving innovation across threat detection, risk propagation, and incident response. Collaborate closely with engineering and product teams to integrate solutions into production platforms. Mentor junior team members and contribute to strategic decisions around model architecture, evaluation, and deployment. Qualifications Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related quantitative field 5+ years of experience applying data science or machine learning in a real-world setting, preferably in security, fraud, risk, or anomaly detection Proficiency in Python and/or R, with hands-on experience in data manipulation (e.g., Pandas, NumPy), modeling (e.g., scikit-learn, XGBoost), and visualization (e.g., matplotlib, seaborn) Strong foundation in statistics, probability, and applied machine learning techniques Experience working with large-scale datasets, telemetry, or graph-structured data Ability to clearly communicate technical insights and influence cross-disciplinary teams Demonstrated ability to work independently, take ownership of problems, and drive solutions end-to-end Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Gurgaon, India We are seeking an Associate Consultant to join our India team based in Gurgaon. This role at Viscadia offers a unique opportunity to gain hands-on experience in the healthcare industry, with comprehensive training in core consulting skills such as critical thinking, market analysis, and executive communication. Through project work and direct mentorship, you will develop a deep understanding of healthcare business dynamics and build a strong foundation for a successful consulting career. ROLES AND RESPONSIBILITIES Technical Responsibilities Design and build full-stack forecasting and simulation platforms using modern web technologies (e.g., React, Node.js, Python) hosted on AWS infrastructure (e.g., Lambda, EC2, S3, RDS, API Gateway). Automate data pipelines and model workflows using Python for data preprocessing, time-series modeling (e.g., ARIMA, Exponential Smoothing), and backend services. Develop and enhance product positioning, messaging, and resources that support the differentiation of Viscadia from its competitors. Conduct research and focus groups to elucidate key insights that augment positioning and messaging Replace legacy Excel/VBA tools with scalable, cloud-native applications, integrating dynamic reporting features and user controls via web UI. Use SQL and cloud databases (e.g., AWS RDS, Redshift) to query and transform large datasets as inputs to models and dashboards. Develop interactive web dashboards using frameworks like React + D3.js or embed tools like Power BI/Tableau into web portals to communicate insights effectively. Implement secure, modular APIs and microservices to support modularity, scalability, and seamless data exchange across platforms. Ensure cost-effective and reliable deployment of solutions via AWS services, CI/CD pipelines, and infrastructure-as-code (e.g., CloudFormation, Terraform). Business Responsibilities Support the development and enhancement of forecasting and analytics platforms tailored to the needs of pharmaceutical clients across various therapeutic areas Build in depth understanding of pharma forecasting concepts, disease areas, treatment landscapes, and market dynamics to contextualize forecasting models and inform platform features Partner with cross-functional teams to ensure forecast deliverables align with client objectives, timelines, and decision-making needs Contribute to a culture of knowledge sharing and continuous improvement by mentoring junior team members and helping codify best practices in forecasting and business analytics Grow into a client-facing role, combining an understanding of commercial strategy with forecasting expertise to lead engagements and drive value for clients QUALIFICATIONS Bachelor’s degree (B.Tech/B.E.) from a premier engineering institute, preferably in Computer Science, Information Technology, Electrical Engineering, or related disciplines 2+ years of experience in full-stack development, with a strong focus on designing, developing, and maintaining AWS-based applications and services SKILLS & TECHNICAL PROFICIENCIES Technical Skills Proficient in Python, with practical experience using libraries such as pandas, NumPy, matplotlib/seaborn, and statsmodels for data analysis and statistical modeling Strong command of SQL for data querying, transformation, and seamless integration with backend systems Hands-on experience in designing and maintaining ETL/ELT data pipelines, ensuring efficient and scalable data workflows Solid understanding and applied experience with cloud platforms, particularly AWS; working familiarity with Azure and Google Cloud Platform (GCP) Full-stack web development expertise, including building and deploying modern web applications, web hosting, and API integration Proficient in Microsoft Excel and PowerPoint, with advanced skills in data visualization and delivering professional presentations Soft Skills Excellent verbal and written communication skills, with the ability to effectively engage both technical and non-technical stakeholders Strong analytical thinking and problem-solving abilities, with a structured and solution-oriented mindset Demonstrated ability to work independently as well as collaboratively within cross-functional teams Adaptable and proactive, with a willingness to thrive in a dynamic, fast-growing environment Genuine passion for consulting, with a focus on delivering tangible business value for clients Domain Expertise (Good to have) Strong understanding of pharmaceutical commercial models, including treatment journeys, market dynamics, and key therapeutic areas Experience working with and interpreting industry-standard datasets such as IQVIA, Symphony Health, or similar secondary data sources Familiarity with product lifecycle management, market access considerations, and sales performance tracking metrics used across the pharmaceutical value chain

About Us: Analytics Circle is a leading institute dedicated to empowering individuals with in-demand data analytics skills. We are passionate about bridging the industry-academia gap through practical, hands-on training in the most sought-after tools and technologies in data analytics. Job Description: We are looking for a highly skilled and passionate Data Analyst Trainer to join our growing team. The ideal candidate should have real-world industry experience and a strong command over Advanced Excel, Power BI, Tableau, SQL, and Python. As a trainer, you will be responsible for delivering engaging and insightful sessions to our learners, preparing them for careers in data analytics. Key Responsibilities: Deliver interactive and practical training sessions on: Advanced Excel Power BI Tableau SQL Python for Data Analysis Design and update course materials, case studies, and hands-on projects based on current industry trends. Evaluate student progress through assignments, projects, and assessments. Provide one-on-one mentorship and support to learners when needed. Assist in curriculum development and continuous improvement of training content. Stay updated with the latest developments in data analytics tools and technologies. Requirements: Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, or a related field. Minimum 3+ years of experience in the data analytics domain. Proven training or teaching experience is preferred. Proficiency in: Excel (including pivot tables, lookups, macros, dashboards) Power BI (DAX, Power Query, data modeling) Tableau (data visualization, dashboard building) SQL (queries, joins, data manipulation) Python (Pandas, NumPy, Matplotlib, data analysis workflows) Strong communication and presentation skills. Passion for teaching and mentoring. Nice to Have: Industry certifications in relevant tools (e.g., Microsoft, Tableau, Python). If you have all these expertise, training experience and available on weekdays then only contact us on 9999190695 Experience conducting online training/webinars. Job Types: Full-time, Part-time Pay: ₹10,000.00 - ₹25,000.00 per month Schedule: Day shift Supplemental Pay: Commission pay Performance bonus Ability to commute/relocate: Laxmi Nagar, Delhi, Delhi: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): Weekdays Availability Monday to Friday Interested in Teaching/Trainer job? Education: Master's (Required) Experience: Data science: 5 years (Preferred) Teaching: 3 years (Required) Location: Laxmi Nagar, Delhi, Delhi (Required) Shift availability: Day Shift (Required) Work Location: In person

Designation : Engineer / Sr. Engineer - End-of-Line Tester Development Educational Qualification : B.Tech/B.E. /M.Tech in Electronics & Communication, Electrical, Instrumentation, Mechatronics, or Computer Science Engineering. Technical Skills Required : 1. Design and implement data-driven applications using Python, MySQL, Power BI, Excel, and JavaScript to support real-time decision-making and enhance process efficiency. 2. Develop and simulate control system models using MATLAB/Simulink for system validation, optimization, and predictive algorithm deployment. 3. Program, integrate, and test industrial control systems using CODESYS, ensuring robust and reliable performance in automated manufacturing environments. 4. Contribute to the development and testing of MEMS sensor-based systems for industrial applications. 5. Collaborate on computer vision and IIoT projects to enhance machine intelligence and smart factory capabilities (Industry 4.0). 6. Ensure adherence to industry standards (ISO 9000/14000/18000, SIL, ANSI, ATEX, IEC 61131-3, NFPA). 7. Conduct rigorous sensor testing and validation, and support integration with RTOS and real-time communication protocols. 8. Maintain technical documentation and actively contribute to innovation and research initiatives. Additional Desirable Skills : Familiarity with ISO & IPC standards for electrical testing Ability to work with mechanical fixtures and robotic arms for automated testing. Experience with machine learning for predictive analytics (preferred but not mandatory). Strong problem-solving skills and ability to work independently. · Programming: Python, OOPs, Node-RED, NumPy, Pandas, Matplotlib, OpenCV, Seaborn, JavaScript Tools & Platforms: MySQL, Power BI, MATLAB Simulink, LabVIEW, CODESYS, Excel Technical Expertise: Sensor Testing & Validation, RTOS, IIOT, Instrumentation & Control, Drives & Controls Industry Standards: ISO 9000/14000/18000, SIL, ANSI, ATEX, IEC 61131-3, NFPA Communication Protocols: I2C, SPI, UART, SERCOS, Profibus, Profinet, Ethernet, Modbus, Fieldbus, OPC UA. Experience Required : 3-7 years in designing and developing automated test systems for electrical/electronic components. Hands-on experience in building EOL testers for products like switches, connectors, relays, and wire harnesses. Experience in working with DAQ systems and real-time monitoring applications. Practical exposure to industrial automation & quality control testing. Job Types: Full-time, Permanent Pay: ₹22,000.00 - ₹40,000.00 per month Benefits: Health insurance Leave encashment Schedule: Fixed shift Supplemental Pay: Yearly bonus Work Location: In person

Job Description : Should have 4+ years hands-on experience in algorithms and implementation of analytics solutions in predictive analytics, text analytics and image analytics Should have handson experience in leading a team of data scientists, works closely with client’s technical team to plan, develop and execute on client requirements providing technical expertise and project leadership. Leads efforts to foster innovative ideas for developing high impact solutions. Evaluates and leads broad range of forward looking analytics initiatives, track emerging data science trends, and knowledge sharing Engaging key stakeholders to source, mine and validate data and findings and to confirm business logic and assumptions in order to draw conclusions. Helps in design and develop advanced analytic solutions across functional areas as per requirement/opportunities. Technical Role and Responsibilities Demonstrated strong capability in statistical/Mathematical modelling or Machine Learning or Artificial Intelligence Demonstrated skills in programming for implementation and deployment of algorithms preferably in Statistical/ML based programming languages in Python Sound Experience with traditional as well as modern statistical techniques, including Regression, Support Vector Machines, Regularization, Boosting, Random Forests, and other Ensemble Methods; Visualization tool experience - preferably with Tableau or Power BI Sound knowledge of ETL practices preferably spark in Data Bricks cloud big data technologies like AWS, Google, Microsoft, or Cloudera. Communicate complex quantitative analysis in a lucid, precise, clear and actionable insight. Developing new practices and methodologies using statistical methods, machine learning and predictive models under mentorship. Carrying out statistical and mathematical modelling, solving complex business problems and delivering innovative solutions using state of the art tools and cutting-edge technologies for big data & beyond. Preferred to have Bachelors/Masters in Statistics/Machine Learning/Data Science/Analytics Should be a Data Science Professional with a knack for solving problems using cutting-edge ML/DL techniques and implementing solutions leveraging cloud-based infrastructure. Should be strong in GCP, TensorFlow, Numpy, Pandas, Python, Auto ML, Big Query, Machine learning, Artificial intelligence, Deep Learning Exposure to below skills: Preferred Tech Skills : Python, Computer Vision,Machine Learning,RNN,Data Visualization,Natural Language Processing,Voice Modulation,Speech to text,Spicy,Lstm,Object Detection,Sklearn,Numpy, NLTk,Matplotlib,Cuinks, seaborn,Imageprocessing, NeuralNetwork,Yolo, DarkFlow,DarkNet,Pytorch, CNN,Tensorflow,Keras,Unet, ImageSegmentation,ModeNet OCR,OpenCV,Pandas,Scrapy, BeautifulSoup,LabelImg ,GIT. Machine Learning, Deep Learning, Computer Vision, Natural Language Processing,Statistics Programming Languages-Python Libraries & Software Packages- Tensorflow, Keras, OpenCV, Pillow, Scikit-Learn, Flask, Numpy, Pandas, Matplotlib,Docker Cloud Services- Compute Engine, GCP AI Platform, Cloud Storage, GCP AI & MLAPIs Job Types: Full-time, Permanent, Fresher Pay: ₹30,000.00 - ₹90,000.00 per month Education: Bachelor's (Preferred) Experience: AI/Machine learining: 4 years (Preferred) Work Location: In person

Organization: MOL Information Technology (MOL-IT) is the Digital Transformation Partner of the MOL Group, delivering customized technology solutions that drive efficiency, innovation, and sustainability across shipping, logistics, and supply chain domains. Established in 1997, MOL-IT operates from three locations— Kolkata, Hyderabad and Mumbai —with a team of over 400 software and management professionals . In alignment with the MOL Group’s strong commitment to sustainable growth , MOL-IT is advancing its digital capabilities to support decarbonization, automation, and smart operations. As part of its growth strategy, MOL-IT continues to deepen its impact within the MOL Group by aligning digital transformation initiatives with the Group’s long-term sustainability goals. Key Responsibilities Collect, clean, and analyze structured and unstructured data from various sources. Develop predictive models and machine learning algorithms to support business decisions. Design experiments and A/B tests to validate hypotheses and drive continuous improvement. Create data visualizations and dashboards to communicate findings to stakeholders. Collaborate with cross-functional teams including Engineering, Product, and Marketing. Translate business challenges into data problems and deliver practical solutions. Ensure the quality, integrity, and security of data used in analysis and reporting. Qualifications Required: Bachelor’s or master’s degree in data science, Statistics, Computer Science, Mathematics, or related field. 1+ years of experience in a data science or analytics role. Proficiency in Python, R, or similar programming languages. Experience with SQL and working with large datasets. Solid understanding of statistical analysis and machine learning techniques. Familiarity with data visualization tools (e.g., Tableau, Power BI, or matplotlib/seaborn). Preferred: Knowledge of cloud platforms (AWS, GCP, or Azure) and big data tools (e.g., Spark, Hadoop). Strong communication skills and ability to present complex data in a clear and actionable manner. CTC -As per the industry standard

About The Company (Industry & Sector) An advanced-technology scale-up at the crossroads of Quantum Computing, Artificial Intelligence and Semiconductor Engineering . The hardware division designs full-stack enterprise quantum computers—spanning superconducting processors, cryogenic control electronics and RF instrumentation—to unlock breakthroughs across life-sciences, finance, transportation and space. Role & Responsibilities Design and execute quantum-device experiments—from cryogenic fixture design to automated data acquisition—for superconducting-qubit characterisation. Develop and refine protocols to measure coherence times, gate fidelities, and perform quantum-state / process tomography, feeding results back into device design. Maintain, troubleshoot and optimise cryogenic measurement stacks and microwave-RF chains to guarantee low-noise, high-throughput data collection. Implement data pipelines in Python / MATLAB that process raw traces into actionable metrics and dashboards for cross-functional teams. Collaborate with quantum-processor, control-electronics and theory groups to correlate empirical results with simulations and accelerate design-of-experiments cycles. Document methodologies, publish findings and help shape the roadmap for next-generation, fault-tolerant quantum processors. Skills & Qualifications Must-Have MSc / MTech / PhD in Physics, Electrical Engineering, Materials Science or related field with quantum focus. Hands-on experience designing cryogenic or microwave testbeds and performing quantum measurements on superconducting qubits or similar platforms. Proven ability to measure and analyse device parameters (T₁/T₂, gate fidelity, tomography). Solid understanding of circuit QED and error-correction concepts relevant to superconducting hardware. Proficiency in Python (NumPy/Pandas/Matplotlib) or MATLAB for data analysis and instrument control. Strong problem-solving, communication and teamwork skills; comfortable in fast-paced R&D settings. Preferred Track record of peer-reviewed publications or conference presentations in quantum technology. Experience writing DoE-driven analysis reports that steer experimentation plans. Familiarity with cold-atom or spin-qubit platforms, autonomous calibration routines, or GPU-accelerated simulators. Knowledge of error-mitigation / bosonic-code techniques and their experimental implementation. Exposure to clean-room fabrication workflows and materials studies for superconducting devices. Contributions to open-source quantum-measurement tooling or instrument-control libraries. Skills: hamiltonian engineering,coherence times measurement,quantum-state tomography,ldpc codes,surface codes,gate fidelity measurement,python-based quantum platforms,circuit qed,automated data acquisition,numerical tool-chains,fault-tolerant architectures,superconducting-qubit error-correction schemes,computational modelling of quantum circuits,data processing in matlab,quantum device characterization,problem-solving,experimental protocols,matlab,error-mitigation techniques,quantum-software stacks,cryogenic fixture design,collaboration,quantum computing,artificial intelligence,data processing in python,quantum error-correction codes,quantum-process tomography,teamwork,python,error-correction concepts,quantum-state & process tomography,communication,qubit-control schemes,semiconductor,peer-reviewed publications,dynamical decoupling,numerical methods

Job description: ESG Specialist team are set of skilled and domain knowledge individuals who build and maintain the content currently covered on existing databases and test future database, tools and systems. The Specialist team drives automation and simplification to bring in efficient processes and quality of updates within ESG Operations. The successful applicant will be working in an agile environment and will work on projects to deliver automation and process simplifications solutions. Roles, Responsibilities & Key Accountabilities: Develop and deploy machine learning and deep learning models to solve complex problems. Conduct statistical analysis to identify trends, patterns, and insights. Application of data science skills to develop intelligent systematic checks on textual and Boolean data to identify incorrect and missing data Manage data extraction, reporting, data analysis. Use SQL to query and manage large datasets. Implement web scraping techniques to gather relevant data from various sources. Work with large language models (LLMs) for natural language processing tasks. Required Skills: Proficiency in ML, deep learning, and statistical analysis techniques. Strong Python & SQL skills for data querying and manipulation. Proficiency in Microsoft Power Platform. Experience with web scraping tools and frameworks. Working knowledge of NLP and LLM concepts, familiarity with BERT, GPT, etc. Strong problem-solving and analytical skills. Reporting using Python visualization packages (e.g., Matplotlib, Seaborn) and Microsoft Power BI. Desired Skills: Knowledge of LSEG proprietary systems for automations including LEAD & DEMING. Understanding of ESG content and marketplace. Understanding of 6 sigma principles. Education: Data Science Certification or Software Engineer or study in computer science subject area or Any subject area of study along with expertise in programming languages like Python, VBA, SQL etc. People are at the heart of what we do and drive the success of our business. Our colleagues thrive personally and expertly through our shared values of Integrity, Partnership, Change and Excellence, which are at the core of our culture. We embrace diversity and actively seek to attract people with unique backgrounds and perspectives. We are always looking at ways to become more agile, so we meet the needs of our teams and customers. We believe that an inclusive collaborative workplace is pivotal to our success and supports the potential and growth of all colleagues at LSEG. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

We are seeking a Senior / Lead Data Scientist with hands-on experience in ML/DL, NLP, GenAI, LLMs, and Azure Databricks to lead strategic data initiatives. In this role, you'll lead end-to-end project execution, work on advanced AI/ML models, and guide junior team members. Your expertise will help align data-driven solutions with business goals and deliver real impact. Key Responsibilities Collect, clean, and validate large volumes of structured and unstructured data Design, develop, and implement ML/DL models, NLP solutions, and LLM-based applications Leverage Generative AI techniques to drive innovation in product development Lead Azure Databricks-based workflows and scalable model deployment pipelines Interpret data, analyze results, and present actionable insights to stakeholders Own the delivery of full data science project lifecycles from problem scoping to production deployment Collaborate cross-functionally with engineering, product, and business teams Create effective visualizations, dashboards, and reports Conduct experiments, research new techniques, and continuously enhance model performance Ensure alignment of data initiatives with organizational strategy and KPIs Mentor junior data scientists and contribute to team growth and Skills & Qualifications : 6+ years of hands-on experience in Data Science or Machine Learning roles Strong command over Python (R/MATLAB is a plus) Hands-on experience with NLP, Chatbots, GenAI, LLMs (e.g., GPT, LLaMA) Proficient in Azure Databricks (Mandatory) Experience with both SQL and NoSQL databases Solid grasp of statistical modeling, data mining, and predictive analytics Familiarity with data visualization tools (e.g., Power BI, Tableau, Matplotlib, Seaborn) Experience in deploying ML models in production environments Bachelors or Masters degree in Computer Science, Mathematics, Data Science, or related field Nice To Have Experience in RPA tools, MLOps, or AI product development Exposure to cloud platforms (Azure preferred; AWS/GCP is a bonus) Familiarity with version control and CI/CD practices (ref:hirist.tech)

You should have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. You must possess solid experience in developing and implementing generative AI models, with a deep understanding of techniques like GPT, VAE, and GANs. Proficiency in Python and experience with machine learning libraries like TensorFlow, PyTorch, or Keras is required. Strong knowledge of data structures, algorithms, and software engineering principles is essential. Familiarity with cloud-based platforms such as AWS, GCP, or Azure is expected. Experience with natural language processing (NLP) techniques and tools like SpaCy, NLTK, or Hugging Face is necessary. Knowledge of data visualization tools and libraries such as Matplotlib, Seaborn, or Plotly is preferred. Understanding of software development methodologies like Agile or Scrum is important. Excellent problem-solving skills are a must, with the ability to think critically and creatively to develop innovative AI solutions. Strong communication skills are required to effectively convey complex technical concepts to a diverse audience. A proactive mindset is essential, with the ability to work independently and collaboratively in a fast-paced, dynamic environment.,

We are seeking an Full Stack Developer (Associate Consultant) to join our India team based in Gurgaon. This role at Viscadia offers a unique opportunity to gain hands-on experience in the healthcare industry, with comprehensive training in core consulting skills such as critical thinking, market analysis, and executive communication. Through project work and direct mentorship, you will develop a deep understanding of healthcare business dynamics and build a strong foundation for a successful consulting career. ROLES AND RESPONSIBILITIES Technical Responsibilities Design and build full-stack forecasting and simulation platforms using modern web technologies (e.g., React, Node.js, Python) hosted on AWS infrastructure (e.g., Lambda, EC2, S3, RDS, API Gateway). Automate data pipelines and model workflows using Python for data preprocessing, time-series modeling (e.g., ARIMA, Exponential Smoothing), and backend services. Replace legacy Excel/VBA tools with scalable, cloud-native applications, integrating dynamic reporting features and user controls via web UI. Use SQL and cloud databases (e.g., AWS RDS, Redshift) to query and transform large datasets as inputs to models and dashboards. Develop interactive web dashboards using frameworks like React + D3.js or embed tools like Power BI/Tableau into web portals to communicate insights effectively. Implement secure, modular APIs and microservices to support modularity, scalability, and seamless data exchange across platforms. Ensure cost-effective and reliable deployment of solutions via AWS services, CI/CD pipelines, and infrastructure-as-code (e.g., CloudFormation, Terraform). Business Responsibilities Support the development and enhancement of forecasting and analytics platforms tailored to the needs of pharmaceutical clients across various therapeutic areas Build in depth understanding of pharma forecasting concepts, disease areas, treatment landscapes, and market dynamics to contextualize forecasting models and inform platform features Partner with cross-functional teams to ensure forecast deliverables align with client objectives, timelines, and decision-making needs Contribute to a culture of knowledge sharing and continuous improvement by mentoring junior team members and helping codify best practices in forecasting and business analytics Grow into a client-facing role, combining an understanding of commercial strategy with forecasting expertise to lead engagements and drive value for clients QUALIFICATIONS Bachelor’s degree (B.Tech/B.E.) from a premier engineering institute, preferably in Computer Science, Information Technology, Electrical Engineering, or related disciplines 2+ years of experience in full-stack development, with a strong focus on designing, developing, and maintaining AWS-based applications and services SKILLS AND TECHNICAL PROFICIENCIES Technical Skills Proficient in Python, with practical experience using libraries such as pandas, NumPy, matplotlib/seaborn, and statsmodels for data analysis and statistical modeling Strong command of SQL for data querying, transformation, and seamless integration with backend systems Hands-on experience in designing and maintaining ETL/ELT data pipelines, ensuring efficient and scalable data workflows Solid understanding and applied experience with cloud platforms, particularly AWS; working familiarity with Azure and Google Cloud Platform (GCP) Full-stack web development expertise, including building and deploying modern web applications, web hosting, and API integration Proficient in Microsoft Excel and PowerPoint, with advanced skills in data visualization and delivering professional presentations Soft Skills Excellent verbal and written communication skills, with the ability to effectively engage both technical and non-technical stakeholders Strong analytical thinking and problem-solving abilities, with a structured and solution-oriented mindset Demonstrated ability to work independently as well as collaboratively within cross-functional teams Adaptable and proactive, with a willingness to thrive in a dynamic, fast-growing environment Genuine passion for consulting, with a focus on delivering tangible business value for clients Domain Expertise Strong understanding of pharmaceutical commercial models, including treatment journeys, market dynamics, and key therapeutic areas Experience working with and interpreting industry-standard datasets such as IQVIA, Symphony Health, or similar secondary data sources Familiarity with product lifecycle management, market access considerations, and sales performance tracking metrics used across the pharmaceutical value chain

The role of Junior Full Stack Developer with a focus on Artificial Intelligence and Data Analytics in Banglore offers a great opportunity for a recent graduate or early-career professional to contribute to web application development and data-driven insights. Working closely with senior developers and data scientists, you will help enhance products with intelligent capabilities. Your responsibilities will include developing and maintaining front-end and back-end components of web applications, building user interfaces using modern web technologies like HTML, CSS, and JavaScript (including React basics), writing efficient server-side code primarily in Python, integrating AI/Machine Learning models, performing data cleaning, analysis, and visualization, collaborating on database interactions and API development, participating in code reviews and documentation, and troubleshooting issues under guidance. To succeed in this role, you should have a Bachelor's degree in Computer Science, Data Science, Engineering, or a related field, along with a basic understanding of web development concepts, familiarity with front-end and back-end technologies, solid Python programming skills, knowledge of AI/Machine Learning concepts, experience with data analysis and visualization tools, basic SQL knowledge, Git proficiency, cloud services familiarity, strong analytical and problem-solving skills, excellent communication and teamwork abilities, and a willingness to learn and adapt in a fast-paced environment. This is a full-time position requiring your presence in the office from Monday to Friday. If you are an immediate joiner with relevant experience and expectations aligned with the offered package of 12LPA, we encourage you to apply for this exciting opportunity to grow your skills in web development, AI, and data analytics.,

You will be working as a Consultant with 4 to 7 years of experience in Bangalore/Gurgaon in a Hybrid work mode. Your primary skills should include Machine Learning, Python, and Gen AI. Additionally, proficiency in Python is preferred, and familiarity with other programming languages like R and Java would be a plus. Experience with frameworks such as TensorFlow, PyTorch, or scikit-learn is required. You should also have experience working with generative AI models like GPT, BERT, LLaMA, or other transformer-based architectures. Your responsibilities will include designing and implementing AI/ML models and data-driven solutions to address complex challenges in healthcare and life sciences. You will be analyzing large datasets to identify trends, generate insights, and support data-informed decision-making. Collaboration with consultants, data engineers, and scientists to build end-to-end data pipelines and analytical workflows is crucial. Client engagement through interviews, workshops, and presentations will be a part of your role, contributing to deliverables and building strong relationships. Moreover, you will be translating complex analyses into clear, actionable insights for both technical and non-technical stakeholders. Continuous learning and mentorship are essential as you need to stay current with AI/ML advancements, contribute to research and proposals, and mentor junior team members. Proficiency in data manipulation, cleaning, and analysis, as well as creating clear and insightful visualizations using tools like Matplotlib, Seaborn, or Tableau, is required. Familiarity with cloud services like AWS, Google Cloud, or Azure for deploying AI solutions will be an added advantage.,

You will be joining our innovative EdTech team as an experienced AI/ML Content Developer. Your primary responsibility will be to create cutting-edge educational content in the field of artificial intelligence and machine learning. You will play a key role in developing comprehensive courses that cover a wide range of AI/ML domains, starting from foundational machine learning concepts to advanced generative AI and agentic AI systems. This position presents an exciting opportunity for you to influence how the next generation of AI practitioners learn and apply these transformative technologies. In this role, your tasks will include designing and developing comprehensive courses across AI/ML domains such as machine learning, natural language processing, computer vision, generative AI, and agentic AI systems. You will create diverse content formats, including hands-on labs, interactive exercises, assessments, and project-based learning modules. Additionally, you will structure learning paths that logically progress from foundational concepts to advanced AI applications. You will also develop practical coding exercises and real-world implementation scenarios using industry-standard tools and frameworks. Ensuring the quality and industry relevance of the content will be a crucial aspect of your role. You will need to ensure that all content reflects current AI/ML best practices and stays aligned with rapidly evolving industry trends. Creating practical, real-world scenarios that simulate actual AI development workflows and challenges will be part of your responsibilities. You will also collaborate with our instructional design team to optimize learning outcomes for complex technical concepts. Furthermore, you will work closely with our platform team to ensure the seamless delivery of AI/ML content and interactive experiences. Continuous iteration and improvement of existing content based on learner feedback and performance metrics will be essential. Staying updated with the latest AI research, tools, and educational methodologies, as well as integrating emerging AI technologies and frameworks into the curriculum as they become industry-relevant, will also be part of your role. For this position, we are looking for candidates with 3+ years of hands-on industry experience in machine learning, AI development, or related technical roles. Essential qualifications include domain expertise in machine learning algorithms, deep learning architectures, and AI system design. Proficiency in Python and core data science libraries, experience with machine learning frameworks like PyTorch and TensorFlow, and expertise in natural language processing techniques are also required. Additionally, strong communication skills, the ability to explain complex AI concepts clearly, and experience in creating technical AI/ML content are essential for this role. Preferred qualifications include an advanced degree (Master's/PhD) in Computer Science, Machine Learning, Data Science, or a related field, published research in AI/ML conferences or journals, experience with reinforcement learning and multi-agent systems, familiarity with AI safety, ethics, and responsible AI development practices, and knowledge of emerging AI architectures and research trends. Background in technical training, workshops, or mentoring in AI/ML domains and an understanding of accessibility standards in educational content are also desirable.,

Company Description Vyva Consulting Inc. is a trusted partner in Sales Performance Management (SPM) and Incentive Compensation Management (ICM), specializing in delivering top-tier software consulting solutions. We help organizations optimize their sales operations, boost revenue, and maximize value. Our seasoned experts work with leading products such as Xactly, Varicent, and SPIFF, offering comprehensive implementation and post-implementation services. We focus on enhancing sales compensation strategies to drive business success. Role Description This is a full-time, on-site role for an Artificial Intelligence Intern, located in Hyderabad. We are seeking a motivated AI Engineer Intern to join our team and contribute to cutting-edge AI/ML projects. This internship offers hands-on experience with large language models, generative AI, and modern AI frameworks while working on real-world applications that impact our business objectives. What You'll DoCore Responsibilities LLM Integration & Development: Build and prototype LLM-powered features using frameworks like LangChain, OpenAI SDK, or similar tools for content automation and intelligent workflows RAG System Implementation: Design and optimize Retrieval-Augmented Generation systems including document ingestion, chunking strategies, embedding generation, and vector database integration Data Pipeline Development: Create robust data pipelines for AI/ML workflows, including data collection, cleaning, preprocessing, and annotation of large datasets Model Experimentation: Conduct experiments to evaluate, fine-tune, and optimize AI models for accuracy, performance, and scalability across different use cases Vector Database Operations: Implement similarity search solutions using vector databases (FAISS, Pinecone, Chroma) for intelligent Q&A, content recommendation, and context-aware responses Prompt Engineering: Experiment with advanced prompt engineering techniques to optimize outputs from generative models and ensure content quality Research & Innovation: Stay current with latest AI/ML advancements, research new architectures and techniques, and build proof-of-concept implementations Technical Implementation Deploy AI micro services and agents using containerization (Docker) and orchestration tools Collaborate with cross-functional teams (product, design, engineering) to align AI features with business requirements Create comprehensive documentation including system diagrams, API specifications, and implementation guides Analyze model performance metrics, document findings, and propose data-driven improvements Participate in code reviews and contribute to best practices for AI/ML development Required QualificationsEducation & Experience Currently pursuing or recently completed Bachelor's/Master's degree in Computer Science, Data Science, AI/ML, or related field 6+ months of hands-on experience with AI/ML projects (academic, personal, or professional) Demonstrable portfolio of AI/ML projects via GitHub repositories, Jupyter notebooks, or deployed applications Technical Skills Programming: Strong Python proficiency with experience in AI/ML libraries (NumPy, Pandas, Scikit-learn) LLM Experience: Practical experience with large language models (OpenAI GPT, Claude, open-source models) including API integration and fine-tuning AI Frameworks: Familiarity with at least one: LangChain, OpenAI Agents SDK, AutoGen, or similar agentic AI frameworks RAG Architecture: Understanding of RAG system components and prior implementation experience (even in academic projects) Vector Databases: Experience with vector similarity search using FAISS, Chroma, Pinecone, or similar tools Deep Learning: Familiarity with PyTorch or TensorFlow for model development and fine-tuning Screening Criteria To effectively evaluate candidates, we will assess: Portfolio Quality: Live demos or well-documented projects showing AI/ML implementation Technical Depth: Ability to explain RAG architecture, vector embeddings, and LLM fine-tuning concepts Problem-Solving: Approach to handling real-world AI challenges like hallucination, context management, and model evaluation Code Quality: Clean, documented Python code with proper version control practices Preferred QualificationsAdditional Technical Skills Full-Stack Development: Experience building web applications with AI/ML backends Data Analytics: Proficiency in data manipulation (Pandas/SQL), visualization (Matplotlib/Seaborn), and statistical analysis MLOps/DevOps: Experience with Docker, Kubernetes, MLflow, or CI/CD pipelines for ML models Cloud Platforms: Familiarity with AWS, Azure, or GCP AI/ML services Databases: Experience with both SQL (PostgreSQL) and NoSQL (Elasticsearch, MongoDB) databases Soft Skills & Attributes Analytical Mindset: Strong problem-solving skills with attention to detail in model outputs and data quality Communication: Ability to explain complex AI concepts clearly to both technical and non-technical stakeholders Collaboration: Proven ability to work effectively in cross-functional teams Learning Agility: Demonstrated ability to quickly adapt to new technologies and frameworks Initiative: Self-motivated with ability to work independently and drive projects forward What We OfferProfessional Growth Mentorship: Work directly with senior AI engineers and receive structured guidance Real Impact: Contribute to production AI systems used by real customers Learning Opportunities: Access to latest AI tools, frameworks, and industry conferences Full-Time Conversion: Potential for full-time offer based on performance and business needs Work Environment Employee-First Culture: Flexible work arrangements with emphasis on results Innovation Focus: Opportunity to work on cutting-edge AI applications Collaborative Team: Supportive environment that values diverse perspectives and ideas Competitive Compensation: Market-competitive internship stipend Application RequirementsPortfolio Submission Please include the following in your application: GitHub Repository: Link to your best AI/ML projects with detailed README files Project Demo: Video walkthrough or live demo of your most impressive AI application Technical Blog/Documentation: Any technical writing about AI/ML concepts or implementations Resume: Highlighting relevant coursework, projects, and any AI/ML experience Technical Assessment Qualified candidates will complete a technical assessment covering: Python programming and AI/ML libraries LLM integration and prompt engineering RAG system design and implementation Vector database operations and similarity search Model evaluation and optimization techniques Ready to shape the future of AI? Apply now and join our team of innovative engineers building next-generation AI solutions.

Job Opening: Data Science & Analytics – Fresher (Hybrid Role) Location: Patna, Bihar Company: i2i Industry About i2i Industry i2i Industry is India’s leading career acceleration platform, helping fresh graduates and working professionals transition into high-impact tech roles. Backed by experts from Google, Meta, Microsoft, and Amazon, we bring real-world training, mentorship, and job readiness under one roof. Role Overview We are seeking a highly motivated Data Science & Analytics Fresher to join our in-house data team. This hybrid role is designed for individuals who are equally excited by building dashboards and building models — someone who can transform raw data into actionable business insights and predictive outcomes. Key Responsibilities Analyze structured and unstructured datasets to generate business insights Create interactive dashboards and BI reports for leadership and teams Perform feature engineering, data preprocessing, and exploratory data analysis (EDA) Build and evaluate basic ML models for classification, regression, or clustering problems Communicate results through storytelling, visualization, and actionable strategies Automate workflows and reporting processes using Python, SQL, and APIs Skills & Requirements Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, or a related field Strong knowledge of Python (Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn) Solid understanding of SQL and working with relational databases Familiarity with Power BI , Tableau , or Google Data Studio Understanding of basic ML algorithms (Linear Regression, KNN, Decision Trees, etc.) Good communication and problem-solving abilities Bonus: Exposure to Git, Jupyter Notebooks, REST APIs, or cloud platforms (GCP/AWS) What You'll Gain Mentorship from data scientists at Google, Meta, and Amazon End-to-end exposure to real data pipelines and model deployment Project ownership on live business problems Access to our proprietary learning tracks in ML, SQL, and BI tools Competitive salary/stipend and fast-track promotion opportunities Application Process Apply using this form: https://forms.gle/CJz2m9hzTw8JhruBA Or email your resume to: info@i2iindustry.com

"Strong working experience in python based Django,Flask framework. Experience in developing microservices based design and architecture. Strong programming knowledge in Javascript,HTML5, Python, Restful API, gRPC API Programming experience & object-oriented concepts in PYTHON. Knowledge of python libraries like Numpy, Pandas, Ppen3D, OpenCV, Matplotlib. Knowledge of MySQL/Postgres/MSSQL database. Knowledge of 3D geometry. Knowledge of SSO/OpenID Connect/OAuth authentication protocols. Working experience with version control systems like GitHub/BitBucket/GitLab. Familiarity with continuous integration and continuous deployment (CI/CD) pipelines. Basic knowledge of image processing. Knowledge of data-analysis, data science. Strong communication skills. Very good in analytical & logical thinking on different perspectives. Ability to handle challenges & resolve any blockers. Good team player & proactive in giving new ideas/suggestions/solutions & constructive analysis of team member"s ideas. Interested to working in a fast-paced, Agile software development team Good to Have: Knowledge of other programming language like C, C++. Knowledge of basics of machine-learning. Exposure to NoSQL Databases. Knowledge of GCP/AWS/Azure cloud" Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. - Grade Specific Is fully competent in it"s own area and has a deep understanding of related programming concepts software design and software development principles. Works autonomously with minimal supervision. Able to act as a key contributor in a complex environment, lead the activities of a team for software design and software development. Acts proactively to understand internal/external client needs and offers advice even when not asked. Able to assess and adapt to project issues, formulate innovative solutions, work under pressure and drive team to succeed against its technical and commercial goals. Aware of profitability needs and may manage costs for specific project/work area. Explains difficult concepts to a variety of audiences to ensure meaning is understood. Motivates other team members and creates informal networks with key contacts outside own area. Skills (competencies) Verbal Communication

We are hiring for a leading AI-first unicorn in India seeking a curious and analytical Data Scientist with 1-5 years of experience. This is a high-impact role where you will work with massive datasets to uncover actionable insights, build predictive models, and directly influence product strategy and business decisions. If you are passionate about using data and machine learning to solve real-world problems, this is the perfect opportunity for you. What You'll Do (Your Responsibilities): Data Analysis: Analyze large, complex datasets to extract actionable insights that drive key business decisions in product, marketing, and operations. Machine Learning: Build, train, and deploy machine learning models to solve problems like forecasting, classification, customer segmentation, and recommendation. Experimentation: Design and conduct rigorous A/B tests and other experiments to evaluate product features and strategic initiatives. Storytelling with Data: Communicate complex findings and the "story" behind the data to both technical and non-technical stakeholders through clear visualizations and reports. Collaboration: Work cross-functionally with product, engineering, and business teams to identify opportunities for leveraging data. What We're Looking For (Your Qualifications): Experience: 1-5 years of hands-on experience in a data science or analytics role. Core Skills: Strong programming skills in Python and deep proficiency in data science libraries ( Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch ). SQL Mastery: Advanced proficiency in SQL for complex data extraction, transformation, and analysis. ML & Stats: Solid understanding of machine learning algorithms, statistical principles, and data modeling techniques. Data Visualization: Experience with data visualization tools like Tableau, Power BI, or Matplotlib/Seaborn. Business Acumen: The ability to translate business problems into data science problems and vice versa. Our Unique Application Process: To fast-track your application directly to hiring managers, we use a two-step process: Submit Your Resume: Apply here. AI-Powered Interview: You will be invited to a short, recorded video interview. This is your chance to showcase your skills and personality beyond your resume.

Trainer for Certificate Course on Data Analytics Location: Kollam, Kerala Organization: Invicta Learning Course Duration: July 28, 2025 – August 09, 2025 Total Days: 13 Days (Monday to Saturday) Total Hours: 80 Hours Daily Hours: 7 Hours/Day (Mon–Sat) Role Overview: Invicta Learning is seeking a dynamic and experienced Data Analytics Trainer for a short-term, intensive Certificate Course on Data Analytics to be conducted in Kollam . The trainer will be responsible for delivering high-quality, application-driven training to engineering students over a period of 13 days, covering foundational to intermediate concepts in Data Analytics. Key Responsibilities: Deliver engaging, structured, and hands-on sessions on core Data Analytics concepts. Cover essential tools and technologies including Excel, SQL, Python, Power BI/Tableau , and basic machine learning models . Design and explain case studies, capstone projects, and real-world data problem-solving. Ensure daily objectives are met while maintaining student engagement. Conduct daily evaluations, hands-on exercises, and project mentoring. Provide feedback and support to students during and after sessions. Preferred Topics to Cover: Data Cleaning, Wrangling, and Visualization Exploratory Data Analysis (EDA) Python for Data Analytics (pandas, numpy, matplotlib, seaborn) SQL Queries and Database Concepts Dashboards using Power BI/Tableau Introduction to Predictive Analytics Mini Projects/Capstone based on real datasets Candidate Requirements: Minimum 2 years of experience in Data Analytics training or related industry experience. Strong knowledge of data analysis tools and relevant programming languages. Prior teaching/training experience is highly desirable. Excellent communication, presentation, and classroom management skills. Ability to manage a fast-paced, intensive course environment. Remuneration: Competitive compensation based on experience and delivery quality. Travel and accommodation support will be provided if required. Job Type: Contractual / Temporary Contract length: 13 days Pay: ₹400.00 - ₹500.00 per hour Schedule: Day shift Application Question(s): Do you Know Data Analytics? Experience: Training & development: 2 years (Required) Language: English (Required) Location: Kollam, Kerala (Required) Work Location: In person