1416 Matplotlib Jobs - Page 12

We are looking for a Senior Python Developer with 3-4 years of experience and a solid understanding of stock market dynamics, technical indicators, and trading systems. Your main responsibilities will include taking charge of backtesting frameworks, optimizing strategies, and creating high-performance trading modules that are ready for production. The ideal candidate is expected to possess critical thinking skills when it comes to trading logic, demonstrate precision in handling edge cases, and have the ability to write clean, scalable, and testable code. Working in a fast-paced, data-intensive environment where accuracy and speed are crucial should be something you are comfortable with. Your responsibilities will involve designing and maintaining robust backtesting and live trading frameworks, developing modules for strategy building, simulation, and optimization, as well as integrating with real-time and historical market data sources such as APIs and databases. Utilizing libraries like Pandas, NumPy, TA-Lib, Matplotlib, and SciPy for data processing and signal generation will be part of your daily tasks. Additionally, you will be applying statistical methods to validate strategies, optimizing code for low-latency execution and memory efficiency, and collaborating with traders and quants to implement and iterate on ideas. Managing codebases with best practices using Git, including unit testing and modular design, is also expected from you. The qualifications we are looking for include 3-4 years of Python development experience, particularly in data-intensive settings, a strong grasp of algorithms, data structures, and performance optimization, and hands-on experience with technical indicators, trading strategy design, and data visualization. Proficiency in Pandas, NumPy, Matplotlib, SciPy, TA-Lib, as well as strong SQL skills and experience with structured and time-series data are essential. Exposure to REST APIs, data ingestion pipelines, and message queues like Kafka and RabbitMQ would be advantageous. Experience in using version control systems like Git and collaborative development workflows is also required. Preferred experience for this role includes hands-on experience with trading platforms or algorithmic trading systems, familiarity with order management systems (OMS), execution logic, or market microstructure, prior work with cloud infrastructure (AWS, GCP) or Docker/Kubernetes, and knowledge of machine learning or reinforcement learning in financial contexts is considered a bonus. This job opportunity is presented by Human Resource from Codeline Tech.,

We are looking for a passionate and experienced Data Analytics & AI Trainer to deliver high-quality, hands-on training in Python, Data Analytics, Power BI, Machine Learning, and Deep Learning . The ideal candidate should be able to simplify complex concepts for learners, guide them on projects, and help them become industry-ready. Key Responsibilities: Deliver live/instructor-led training sessions Python Programming (Advanced level) Data Analytics using Pandas, NumPy, Matplotlib, Seaborn Power BI dashboarding and DAX Machine Learning and Deep Learning basics Create lesson plans, training material, quizzes, and project assignments. Guide students through hands-on projects and capstone tasks. Monitor learners’ progress and provide feedback and mentorship. Stay up to date with the latest trends in AI, data science, and tools. Requirements: Strong command over Python and libraries such as pandas, numpy, matplotlib, seaborn. Hands-on experience with Power BI (Power Query, DAX, dashboarding). Good understanding of EDA, data cleaning, and basic statistics . Familiarity with Machine Learning algorithms and scikit-learn. Basic knowledge of Deep Learning using TensorFlow or Keras. Ability to teach and explain complex topics in a clear and engaging way. Prior experience in teaching/training roles (preferred but not mandatory). Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field. Relevant certifications in Data Science, Python, Power BI, or AI (preferred). Excellent communication and presentation skills. Passion for teaching and mentoring. What We Offer: Flexible working hours Opportunity to lead live bootcamps and workshops Certificate and Letter of Recommendation Exposure to real-world data projects and tools 📩 To Apply: Send your resume to info@neuronschool.in 📞 Contact: +91 9977703043 🌐 Website: neuronschool.in

Location: Vadodara Type: Full-time / Internship Duration (for interns): Minimum 3 months Stipend/CTC: Based on experience and role About Gururo Gururo is an industry leader in practical, career-transforming education. With a mission to empower professionals and students through real-world skills, we specialize in project management, leadership development, and emerging technologies. Join our fast-paced, mission-driven team and work on AI/ML-powered platforms that impact thousands globally. Who Can Apply? Interns: Final-year students or recent graduates from Computer Science, Data Science, or related fields, with a strong passion for AI/ML. Freshers: 0–1 years of experience with academic or internship exposure to machine learning projects. Experienced Professionals: 1+ years of hands-on experience in AI/ML roles with a demonstrated portfolio or GitHub contributions. Key Responsibilities Design and develop machine learning models and AI systems for real-world applications Clean, preprocess, and analyze large datasets using Python and relevant libraries Build and deploy ML pipelines using tools like Scikit-learn, TensorFlow, PyTorch Work on NLP, Computer Vision, or Recommendation Systems based on project needs Evaluate models with appropriate metrics and fine-tune for performance Collaborate with product, engineering, and design teams to integrate AI into platforms Maintain documentation, participate in model audits, and ensure ethical AI practices Use version control (Git), cloud deployment (AWS, GCP), and experiment tracking tools (MLflow, Weights & Biases) Must-Have Skills Strong Python programming skills Hands-on experience with one or more ML frameworks (Scikit-learn, TensorFlow, or PyTorch) Good understanding of core ML algorithms (classification, regression, clustering, etc.) Familiarity with data wrangling libraries (Pandas, NumPy) and visualization (Matplotlib, Seaborn) Experience working with Jupyter Notebooks and version control (Git) Basic understanding of model evaluation techniques and metrics Good to Have (Optional) Exposure to deep learning, NLP (transformers, BERT), or computer vision (OpenCV, CNNs) Experience with cloud ML platforms (AWS SageMaker, GCP AI Platform, etc.) Familiarity with Docker, APIs, and ML model deployment workflows Knowledge of MLOps tools and CI/CD for AI systems Kaggle profile, published papers, or open-source contributions What You’ll Gain Work on real-world AI/ML problems in the fast-growing EdTech space Learn from senior data scientists and engineers in a mentorship-driven environment Certificate of Internship/Experience & Letter of Recommendation (for interns) Opportunities to lead research-driven AI initiatives at scale Flexible work hours and performance-based growth opportunities End-to-end exposure — from data collection to model deployment in production

AI & Automation Analyst Position Overview The AI & Automation Analyst at SingleStore is a foundational member of the Analytics, Enterprise Tech, and AI Enablement team, reporting to the head of Digital and AI Transformation. Join a high-visibility, high-impact team delivering essential AI and automation solutions as part of our new AI & Automation Center of Excellence. This role partners cross-functionally—collaborating with analytics, engineering, business, and IT teams—to design and implement initiatives that drive innovation, streamline operations, and amplify data-driven decision making. You will leverage leading AI and automation technologies to tackle complex challenges, directly supporting SingleStore's leadership in enterprise digital transformation and rapid AI adoption. Here, your work contributes to both immediate business wins and the next evolution of our operational and technical capabilities. Role and Responsibilities Engage with internal stakeholders from business units and functional departments to gather requirements and translate needs into actionable AI and automation initiatives. Collaborate closely with data scientists, engineers, and IT professionals to design, build, and implement scalable AI-driven solutions. Identify and analyze high-impact opportunities for process optimization, business automation, and operational improvement. Lead the testing, validation, and iteration of AI and automation projects to ensure robust performance, accuracy, and scalability in real-world environments. Monitor implemented solutions, collect feedback, and drive ongoing improvements while assimilating advancements in AI technologies and best practices. Maintain thorough technical documentation and prepare regular progress reports, summarizing outcomes, innovations, and recommendations for leadership and stakeholders. Uphold best practices in data privacy, regulatory compliance, and ethical AI usage. Minimum Qualifications Required: Bachelor's degree in Computer Science, Data Science, Engineering, or a related field. Minimum 2 years of experience in AI, machine learning, data science, data analysis, or automation roles. Proficiency in at least one programming language (e.g., Python) with experience using data analysis libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn. Strong understanding of data analysis, statistical concepts, and data visualization techniques. Familiarity with data processing tools and platforms (e.g., SQL). Ability to distill complex data into actionable insights and communicate technical concepts clearly to diverse audiences. Experience working in collaborative, cross-functional teams. Excellent stakeholder communication and expectation management skills. Eagerness to learn and adapt in a rapidly evolving technical environment. Preferred: Experience in SaaS/subscription-based business models. Familiarity with business systems (e.g., Salesforce, Netsuite). Hands-on experience integrating AI and Automation into both modern and legacy systems. Demonstrable skills in problem-solving, project management, and continuous improvement in a growth-focused environment. Benefits Company Wide: Technology stipend for new employees Monthly cell phone and internet stipend Health and wellness benefit In-office catered lunches (where applicable) and monthly Grubhub credit Company and team events Flexible time off and volunteer time off Stock options Country Specific (United States): Comprehensive health benefits (medical, dental, vision) 401(k) retirement plan As employees are located in many countries, some benefits may differ. SingleStore strives to provide equitable perks and benefits across our locations. About SingleStore SingleStore delivers the cloud-native database with the speed and scale to power the world's data-intensive applications. Our distributed SQL database unifies transactional and analytical workloads, empowering leaders to deliver exceptional, real-time data experiences for their customers. SingleStore is venture-backed and headquartered in San Francisco, with offices across North America, Europe, and Asia. Diversity & Inclusion We are committed to diversity and inclusion, valuing individuals who thrive on diverse teams and bring a broad range of perspectives to SingleStore. Recruitment Agencies Statement SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement with the Company.

Job Description: Key Responsibilities Develop, train, and evaluate machine learning models using Python, scikit-learn, and related libraries. Design and build robust data pipelines and workflows leveraging Pandas, SQL, and Kedro. Create clear, reproducible analysis and reports in Jupyter Notebooks. Integrate machine learning models and data pipelines into production environments on AWS. Work with Langchain to build applications leveraging large language models and natural language processing workflows. Collaborate closely with data engineers, product managers, and business stakeholders to understand requirements and deliver impactful solutions. Optimize and monitor model performance in production and drive continuous improvement. Follow best practices for code quality, version control, and documentation. Required Skills and Experience 7+ years of professional experience in Data Science, Machine Learning, or a related field. Strong proficiency in Python and machine learning frameworks, especially scikit-learn. Deep experience working with data manipulation and analysis tools such as Pandas and SQL. Hands-on experience creating and sharing analyses in Jupyter Notebooks. Solid understanding of cloud services, particularly AWS (S3, EC2, Lambda, SageMaker, etc.). Experience with Kedro for pipeline development and reproducibility. Familiarity with Langchain and building applications leveraging LLMs is a strong plus. Ability to communicate complex technical concepts clearly to non-technical audiences. Strong problem-solving skills and a collaborative mindset. Nice to Have Experience with MLOps tools and practices (model monitoring, CI/CD pipelines for ML). Exposure to other cloud platforms (GCP, Azure). Knowledge of data visualization libraries (e.g., Matplotlib, Seaborn, Plotly). Familiarity with modern LLM ecosystems and prompt engineering. At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here .

Join us to build cutting-edge apps with Angular & PHP. Grow, innovate, and code with a passionate team. Experience: 0 -1 years….. Location: WFO(Ahmedabad / Vadodara ) Key Skill: Python, AI/ML,NLP Other Skill Set: Testing, Good Team Player, Good Communication Position: 1 Requirements: Strong foundation in Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow or PyTorch. Understanding of machine learning algorithms (regression, classification, clustering, etc.). Experience with data visualization tools like Matplotlib or Seaborn. Experience with data visualization tools like Matplotlib or Seaborn. Knowledge of data preprocessing techniques. Familiarity with version control systems (e.g., Git). Post Name: Full Stack Developer

Key Responsibilities: Assist in building and optimizing ML models for classification, regression, NLP, or computer vision tasks. Perform data cleaning, preprocessing, and visualization. Write efficient, modular Python code for ML pipelines. Conduct literature reviews and research to identify relevant AI/ML techniques. Collaborate with senior data scientists and engineers on ongoing projects. Participate in model evaluation and A/B testing. Requirements: Currently pursuing or recently completed a degree in Computer Science, Data Science, Engineering, or related field. Solid understanding of Python and libraries like NumPy, pandas, scikit-learn, matplotlib, etc. Familiarity with machine learning algorithms (linear regression, decision trees, clustering, etc.). Knowledge of deep learning frameworks like TensorFlow or PyTorch is a plus. Understanding of SQL or NoSQL databases is a bonus. Good problem-solving and communication skills. Passion for AI/ML and eagerness to learn. Good to Have: Experience working on ML or Python-based projects (share GitHub link if available). Knowledge of cloud platforms like AWS, GCP, or Azure. Exposure to tools like Jupyter Notebook, Git, or Docker. What You’ll Gain: Mentorship from industry professionals. Hands-on experience with real datasets and production-level ML systems. Job Types: Full-time, Internship Contract length: 3 months Work Location: In person

Job Title: Data Analyst Intern Company: Innovate Solutions Location: Remote Job Type: Internship (Full-Time) Duration: 1–3 Months Stipend: ₹25,000/month Department: Data Analytics About the Company: Innovate Solutions is a fast-growing technology company that empowers businesses through intelligent data solutions, automation, and innovative software. We help clients turn raw data into actionable insights to improve decision-making and performance. Job Summary: We are looking for a highly motivated Data Analyst Intern to join our analytics team. In this role, you will work with real datasets, create reports, visualize trends, and help uncover meaningful business insights. Key Responsibilities: Collect, clean, and analyze data from various sources Perform exploratory data analysis (EDA) to identify patterns and insights Create dashboards and reports using Excel, Power BI, or Tableau Write SQL queries to extract, manipulate, and manage data Support teams with ad-hoc data requests and reporting needs Assist in presenting data-driven insights to stakeholders Requirements: Pursuing or recently completed a degree in Data Science, Statistics, Computer Science, or related field Strong analytical and problem-solving skills Basic knowledge of SQL and Excel Familiarity with data visualization tools like Power BI or Tableau Knowledge of Python (pandas, matplotlib) is a plus Good communication and documentation skills Ability to work independently in a remote setup Perks & Benefits: ₹25,000/month stipend Internship certificate upon completion Hands-on experience with real-world data projects Mentorship from experienced data professionals Flexible work-from-home opportunity

InnoWave is looking for a talented and analytical Data Scientist with 2–3 years of experience to join our dynamic team. The ideal candidate will have a strong foundation in data analysis, machine learning, and statistical modeling, and will be passionate about transforming data into actionable insights to support decision-making across projects. Responsibilities Analyze large and complex datasets to identify trends, patterns, and actionable insights Design, develop, and implement machine learning models to solve business problems Collaborate with cross-functional teams to understand business objectives and data needs Present analytical findings and model results clearly to both technical and non-technical stakeholders Create data visualizations and dashboards to communicate insights effectively Develop and maintain robust data pipelines and data wrangling scripts Monitor model performance and continuously improve algorithms Stay updated with the latest advancements in data science and machine learning Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field 2–3 years of hands-on experience in a data science or analytics role Strong proficiency in Python or R for data analysis and modeling Experience with machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch Solid understanding of statistical techniques and their real-world applications Experience with SQL and working with relational databases Familiarity with data visualization tools such as Power BI, Tableau, or matplotlib/seaborn Excellent problem-solving skills and attention to detail Strong communication and collaboration skills

I Vision Infotech is a full-fledged IT company established in 2011, providing top-notch, cost-effective, and dependable web and e-commerce solutions. Situated in India, the company caters to a diverse clientele comprising both national and international customers from countries like the USA, Malaysia, Australia, Canada, and the United Kingdom. The services offered encompass a broad spectrum including web design, development, e-commerce, and mobile app development on multiple platforms such as Android, iOS, Windows, and Blackberry. This full-time on-site position is for a Python Developer specializing in Data Science & Django, based in Ahmedabad. The Python Developer will play a pivotal role in building back-end web applications, crafting efficient and sustainable code, and collaborating with cross-functional teams to fuse user-facing components with server-side logic. Daily responsibilities encompass the design, development, and maintenance of software applications and databases, ensuring optimal performance and responsiveness. This role entails object-oriented programming, software development, and close collaboration with data science teams to implement and enhance data-driven solutions. Key Responsibilities: - Crafting clean and efficient Python code - Developing web applications utilizing Django - Engaging in data collection, processing, and visualization through Pandas/Numpy/Matplotlib - Constructing REST APIs using Django REST Framework - Collaborating with the team for real-world project deployments Required Skills: - Profound expertise in Python programming - Fundamental comprehension of data science libraries (Pandas, NumPy, Matplotlib, Scikit-learn) - Practical experience with Django or Django REST Framework - Understanding of HTML, CSS, JavaScript (Basic level) - Knowledge of Git is considered advantageous - Qualification: B.E/B.tech/BCA/MCA/BSc/MSc (CS/IT) or equivalent Perks and Benefits: - Exposure to real-time projects - Internship/Training certificate - Flexible working hours,

Position Overview The AI & Automation Analyst at SingleStore is a foundational member of the Analytics, Enterprise Tech, and AI Enablement team, reporting to the head of Digital and AI Transformation. Join a high-visibility, high-impact team delivering essential AI and automation solutions as part of our new AI & Automation Center of Excellence. This role partners cross-functionally—collaborating with analytics, engineering, business, and IT teams—to design and implement initiatives that drive innovation, streamline operations, and amplify data-driven decision making. You will leverage leading AI and automation technologies to tackle complex challenges, directly supporting SingleStore’s leadership in enterprise digital transformation and rapid AI adoption. Here, your work contributes to both immediate business wins and the next evolution of our operational and technical capabilities. Role and Responsibilities Engage with internal stakeholders from business units and functional departments to gather requirements and translate needs into actionable AI and automation initiatives. Collaborate closely with data scientists, engineers, and IT professionals to design, build, and implement scalable AI-driven solutions. Identify and analyze high-impact opportunities for process optimization, business automation, and operational improvement. Lead the testing, validation, and iteration of AI and automation projects to ensure robust performance, accuracy, and scalability in real-world environments. Monitor implemented solutions, collect feedback, and drive ongoing improvements while assimilating advancements in AI technologies and best practices. Maintain thorough technical documentation and prepare regular progress reports, summarizing outcomes, innovations, and recommendations for leadership and stakeholders. Uphold best practices in data privacy, regulatory compliance, and ethical AI usage. Required Minimum Qualifications Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field. Minimum 2 years of experience in AI, machine learning, data science, data analysis, or automation roles. Proficiency in at least one programming language (e.g., Python) with experience using data analysis libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn. Strong understanding of data analysis, statistical concepts, and data visualization techniques. Familiarity with data processing tools and platforms (e.g., SQL). Ability to distill complex data into actionable insights and communicate technical concepts clearly to diverse audiences. Experience working in collaborative, cross-functional teams. Excellent stakeholder communication and expectation management skills. Eagerness to learn and adapt in a rapidly evolving technical environment. Preferred Experience in SaaS/subscription-based business models. Familiarity with business systems (e.g., Salesforce, Netsuite). Hands-on experience integrating AI and Automation into both modern and legacy systems. Demonstrable skills in problem-solving, project management, and continuous improvement in a growth-focused environment. Benefits Company Wide: Technology stipend for new employees Monthly cell phone and internet stipend Health and wellness benefit In-office catered lunches (where applicable) and monthly Grubhub credit Company and team events Flexible time off and volunteer time off Stock options Country Specific (United States) Comprehensive health benefits (medical, dental, vision) 401(k) retirement plan As employees are located in many countries, some benefits may differ. SingleStore strives to provide equitable perks and benefits across our locations. About SingleStore SingleStore delivers the cloud-native database with the speed and scale to power the world’s data-intensive applications. Our distributed SQL database unifies transactional and analytical workloads, empowering leaders to deliver exceptional, real-time data experiences for their customers. SingleStore is venture-backed and headquartered in San Francisco, with offices across North America, Europe, and Asia. Diversity & Inclusion We are committed to diversity and inclusion, valuing individuals who thrive on diverse teams and bring a broad range of perspectives to SingleStore. Recruitment Agencies Statement SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement with the Company.

Position Overview The AI & Automation Analyst at SingleStore is a foundational member of the Analytics, Enterprise Tech, and AI Enablement team, reporting to the head of Digital and AI Transformation. Join a high-visibility, high-impact team delivering essential AI and automation solutions as part of our new AI & Automation Center of Excellence. This role partners cross-functionally—collaborating with analytics, engineering, business, and IT teams—to design and implement initiatives that drive innovation, streamline operations, and amplify data-driven decision making. You will leverage leading AI and automation technologies to tackle complex challenges, directly supporting SingleStore’s leadership in enterprise digital transformation and rapid AI adoption. Here, your work contributes to both immediate business wins and the next evolution of our operational and technical capabilities. Role and Responsibilities Engage with internal stakeholders from business units and functional departments to gather requirements and translate needs into actionable AI and automation initiatives. Collaborate closely with data scientists, engineers, and IT professionals to design, build, and implement scalable AI-driven solutions. Identify and analyze high-impact opportunities for process optimization, business automation, and operational improvement. Lead the testing, validation, and iteration of AI and automation projects to ensure robust performance, accuracy, and scalability in real-world environments. Monitor implemented solutions, collect feedback, and drive ongoing improvements while assimilating advancements in AI technologies and best practices. Maintain thorough technical documentation and prepare regular progress reports, summarizing outcomes, innovations, and recommendations for leadership and stakeholders. Uphold best practices in data privacy, regulatory compliance, and ethical AI usage. Required Minimum Qualifications Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field. Minimum 2 years of experience in AI, machine learning, data science, data analysis, or automation roles. Proficiency in at least one programming language (e.g., Python) with experience using data analysis libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn. Strong understanding of data analysis, statistical concepts, and data visualization techniques. Familiarity with data processing tools and platforms (e.g., SQL). Ability to distill complex data into actionable insights and communicate technical concepts clearly to diverse audiences. Experience working in collaborative, cross-functional teams. Excellent stakeholder communication and expectation management skills. Eagerness to learn and adapt in a rapidly evolving technical environment. Preferred Experience in SaaS/subscription-based business models. Familiarity with business systems (e.g., Salesforce, Netsuite). Hands-on experience integrating AI and Automation into both modern and legacy systems. Demonstrable skills in problem-solving, project management, and continuous improvement in a growth-focused environment. Benefits Company Wide: Technology stipend for new employees Monthly cell phone and internet stipend Health and wellness benefit In-office catered lunches (where applicable) and monthly Grubhub credit Company and team events Flexible time off and volunteer time off Stock options Country Specific (United States) Comprehensive health benefits (medical, dental, vision) 401(k) retirement plan As employees are located in many countries, some benefits may differ. SingleStore strives to provide equitable perks and benefits across our locations. About SingleStore SingleStore delivers the cloud-native database with the speed and scale to power the world’s data-intensive applications. Our distributed SQL database unifies transactional and analytical workloads, empowering leaders to deliver exceptional, real-time data experiences for their customers. SingleStore is venture-backed and headquartered in San Francisco, with offices across North America, Europe, and Asia. Diversity & Inclusion We are committed to diversity and inclusion, valuing individuals who thrive on diverse teams and bring a broad range of perspectives to SingleStore. Recruitment Agencies Statement SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement with the Company.

Role Overview We are seeking a skilled Data Analyst to support our platform powering operational intelligence across airports and similar sectors. The ideal candidate will have experience working with time-series datasets and operational information to uncover trends, anomalies, and actionable insights. This role will work closely with data engineers, ML teams, and domain experts to turn raw data into meaningful intelligence for business and operations stakeholders. Key Responsibilities Analyze time-series and sensor data from various sources Develop and maintain dashboards, reports, and visualizations to communicate key metrics and trends. Correlate data from multiple systems (vision, weather, flight schedules, etc) to provide holistic insights. Collaborate with AI/ML teams to support model validation and interpret AI-driven alerts (e.g., anomalies, intrusion detection). Prepare and clean datasets for analysis and modeling; ensure data quality and consistency. Work with stakeholders to understand reporting needs and deliver business-oriented outputs. Qualifications & Required Skills Bachelors or Master’s degree in Data Science, Statistics, Computer Science, Engineering, or a related field. 6+ years of experience in a data analyst role, ideally in a technical/industrial domain. Strong SQL skills and proficiency with BI/reporting tools (e.g., Power BI, Tableau, Grafana). Hands-on experience analyzing structured and semi-structured data (JSON, CSV, time-series). Proficiency in Python or R for data manipulation and exploratory analysis. Understanding of time-series databases or streaming data (e.g., InfluxDB, Kafka, Kinesis). Solid grasp of statistical analysis and anomaly detection methods. Experience working with data from industrial systems or large-scale physical infrastructure. Good-to-Have Skills Domain experience in airports, smart infrastructure, transportation, or logistics. Familiarity with data platforms (Snowflake, BigQuery, Custom-built using open-source). Exposure to tools like Airflow, Jupyter Notebooks and data quality frameworks. Basic understanding of AI/ML workflows and data preparation requirements.

Job Description The ideal candidate must possess strong communication skills, with an ability to listen, comprehend information, and share it with all the key stakeholders, highlighting opportunities for improvement and concerns, if any. He/she must be able to work collaboratively with teams to execute tasks within defined timeframes while maintaining high-quality standards and superior service levels. The ability to take proactive actions and willingness to take up responsibility beyond the assigned work area is a plus. Business Intelligence Specialist with 8 years of progressive experience in driving marketing & campaign performance analytics. Adept at developing and managing BI dashboards, automating reporting frameworks and delivering actionable insights to optimize campaign ROI, engagement and conversions. Senior Analyst Roles And Responsibilities Dashboarding & Reporting: Built and maintained real-time dashboards and automated performance reports using Tableau / Power BI & SQL to ensure timely insights delivery. Performance Analytics & Insights Generation: Conducted funnel analysis, customer behavior modeling and trend identification to generate insights that enhanced marketing strategies. Cross-functional Collaboration: Worked with marketing, product and data teams to align on KPIs and translate business needs into analytical solutions and presentations. Technical And Functional Skills BI Tools: Tableau / Power BI, Looker Languages: SQL (Postgre SQL, MySQL), Python (Pandas, Matplotlib) / R Data Platforms: Google BigQuery / Snowflake / AWS Redshift Marketing Tools: Google Analytics / Adobe Analytics / Salesforce Marketing Cloud / Adobe Analytics

Job Description Lead the design and development of robust machine learning and deep learning architectures tailored to solve real-world business challenges. Build and optimize models using frameworks like TensorFlow, PyTorch, and Keras, ensuring high accuracy and performance. Architect and oversee end-to-end data pipelines, including data ingestion, preprocessing, and feature engineering for AI workloads. Research, prototype, and productionize novel algorithms in areas such as computer vision, NLP, and reinforcement learning. Deploy models using cloud platforms (AWS/Azure/GCP), leveraging GPU/TPU infrastructure, and integrating into CI/CD workflows using Docker and other tools. Tune hyperparameters, manage model drift, and implement monitoring to ensure sustained model performance in production. Collaborate with engineering, data science, and product teams to align AI initiatives with business goals. Ensure robust documentation, version control, and adherence to MLOps principles throughout the development lifecycle. Stay ahead of trends in AI/ML and guide the team on best practices, tools, and frameworks. Requirements Required Skills and Qualifications: Education: Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related technical field. Experience: 4–5 years of experience in developing and deploying machine learning or deep learning solutions in real-world environments. Technical Expertise: Proficient in Python and ML libraries: NumPy, Pandas, Scikit-learn, Matplotlib, etc. Deep experience with TensorFlow, PyTorch, and Keras. Strong grasp of neural networks, CNNs, RNNs, Transformers, and GANs. Experience with GPU/TPU acceleration, model optimization, and distributed training. Familiarity with cloud platforms (AWS, Azure, or GCP) for scalable AI deployments. Hands-on with Docker, version control, and CI/CD tools for deployment automation. Experience in NLP, Computer Vision, or Reinforcement Learning projects is a strong plus. Preferred Traits: Strong problem-solving and architectural thinking Ability to work in agile, cross-functional teams Passion for innovation and applying AI to business use cases

Mandatory Skill : Gen AI, LLM, GPT-3, RAG, Lang chain, Llama, AI/ML, DL, NLP or Computer Vision, Python, Tensorflow, Pytorch, Django, Keras, Pandas, NumPy Preferred Skill: AWS or GCP or Azure Cloud, MLOps, GPT-4, SQL, Scikit-learn, Matplotlib, Seaborn, Hadoop, Spark, or Apache Flink, Banking exposure Required Skill Programming Languages: Proficiency in Python, R, or Java. Experience with libraries and frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn, etc. Machine Learning: Strong understanding of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning. Data Science: Experience with data analysis, data visualization, and statistical modeling. Proficiency in using tools like Pandas, NumPy, Matplotlib, and Seaborn. Big Data Technologies: Familiarity with big data processing frameworks like Hadoop, Spark, or Apache Flink. Cloud Platforms: Experience with cloud services such as AWS, Google Cloud, or Azure for deploying AI solutions. Natural Language Processing (NLP): Knowledge of NLP techniques and tools such as NLTK, SpaCy, or GPT-3. Computer Vision: Experience with computer vision techniques and libraries such as OpenCV, YOLO, or Fast R-CNN. Problem-Solving: Strong analytical and problem-solving skills with the ability to think critically and creatively. Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Team Collaboration: Ability to work effectively in a collaborative team environment and contribute to team success.

Ciklum is looking for a Senior Data Scientist to join our team full-time in India. We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live. About the role: As a Senior Data Scientist, become a part of a cross-functional development team working for A healthcare technology company that provides platforms and solutions to improve the management and access of cost-effective pharmacy benefits. Our technology helps enterprise and partnership clients simplify their businesses and helps consumers save on prescriptions. Our client is a leader in SaaS technology for healthcare, They offer innovative solutions with integrated intelligence on a single enterprise platform that connects the pharmacy ecosystem. With their expertise and modern, modular platform, our partners use real-time data to transform their business performance and optimize their innovative models in the marketplace. Responsibilities: Development of prototype solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization of complex data sets Work on exploratory data analysis so you can navigate a dataset and come out with broad conclusions based on initial appraisals Provide optimization recommendations that drive KPIs established by product, marketing, operations, PR teams, and others Interacts with engineering teams and ensures that solutions meet customer requirements in terms of functionality, performance, availability, scalability, and reliability Work directly with business analysts and data engineers to understand and support their use cases Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions Drive innovation by exploring new experimentation methods and statistical techniques that could sharpen or speed up our product decision-making processes Cross-trains other team members on technologies being developed, while also continuously learning new technologies from other team members Contribute to unit’s activities and community building, participate in conferences, and provide excellence in exercise and best practices Requirements: We know that sometimes, you can’t tick every box. We would still love to hear from you if you think you’re a good fit! 5+ years of development of Data Science solutions with a proven track record of leveraging analytics to drive significant business impact Bachelor's/Master's degree in Mathematics, Statistics, Computer Science, Operations Research, Econometrics or related field Proven ability to relate and solve business problems through machine learning and statistics 4+ years of experience applying various machine learning techniques: regression, classification, clustering, dimensional reduction, time series prediction, and/or outlier detection, recommendation systems Understanding of advantages and drawbacks of machine learning algorithms as well as their usage constraints including performance 4+ years of experience in Python development of machine learning solutions and statistical analysis: Pandas, SciPy, Scikit-learn, XGBoost, LightGBM, and/or statsmodels, imbalanced-learn libraries and ML libraries like scikit-learn, TensorFlow, PyTorch, data wrangling and visualization (e.g., Pandas, NumPy, Matplotlib, Seaborn Experience in working with large-scale datasets, including time series and healthcare data Experience with NLP, deep learning and GenAI Experience diving into data to consider hidden patterns and conducting error analysis 2+ years experience in data visualization: Power BI, Tableau, and/or Python libraries like Matplotlib and Seaborn Experience with SQL for data processing, data manipulation, sampling, reporting 3+ years experience creating/maintaining of OOP Machine Learning solutions Understanding of CRISP-ML(Q) / TDSP concept 1+ year of experience with MLOps: integration of reliable Machine Learning Pipelines in Production, Docker, containerization, orchestration 2+ years of experience with Clouds (AWS, Azure, GCP) and Clouds AI And ML Services(e.g. Amazon Sage Maker, Azure ML) Excellent time and project management skills, with the ability to manage detailed work and communicate project status effectively to all levels Desirable: Probability Theory & Statistics knowledge and intuition as well as understanding of Mathematics behind Machine Learning 1+ year of experience in Deep Learning solution development with Tensorflow or PyTorch libraries Data Science / Machine Learning certifications, or research experience with papers being published Experience with Kubernetes Experience with Databricks, Snowflake platforms 1+ year of BigData experience, i.e. Hadoop / Spark Experience with No-SQL, and/or columnar/graph databases What`s in it for you? Care: your mental and physical health is our priority. We ensure comprehensive company-paid medical insurance, as well as financial and legal consultation Tailored education path: boost your skills and knowledge with our regular internal events (meetups, conferences, workshops), Udemy license, language courses and company-paid certifications Growth environment: share your experience and level up your expertise with a community of skilled professionals, locally and globally Opportunities: we value our specialists and always find the best options for them. Our Resourcing Team helps change a project if needed to help you grow, excel professionally, and fulfil your potential Global impact: work on large-scale projects that redefine industries with international and fast-growing clients Welcoming environment: feel empowered with a friendly team, open-door policy, informal atmosphere within the company and regular team-building events About us: India is a strategic growth market for Ciklum. Be a part of a big story created right now. Let’s grow our delivery center in India together! Boost your skills and knowledge: create and innovate with like-minded professionals — all of that within a global company with a local spirit and start-up soul. Supported by Recognize Partners and expanding globally, we will engineer the experiences of tomorrow! Be bold, not bored! Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum.

At Jellyfish, we believe in the power of diverse perspectives and inclusive collaboration. We welcome individuals who excel in collaborative, varied teams and value the unique contributions that each person brings to the table. Jellyfish is a global digital marketing agency; a unique fusion of tech enthusiasts, creative minds, and media and data experts all united to empower our clients along their digital journey. Our commitment to embracing diverse perspectives fuels our innovation and strategies that challenge the status quo, reinvent media activation, and craft influential stories for our global clients and their customers. Join us in shaping a future where business growth and personal fulfilment go hand in hand. Job Description Reporting to our Director of Data Science, Investment Analytics, you will create an impact within our Investment Analytics practice and help with the Paid Media data applications that Jellyfish uses to lead expertise, improve, and transform solutions and services for our clients. You'll help lead complex data science solutions, guiding multi-capability presentations, and taking ownership of advanced measurement and testing for our clients. Join us in our mission to deliver data-inspired excellence! Your primary responsibilities will include: Analyze data to discover hidden trends; deliver insights with clear applicable recommendations. You will be working on EST hours (6:30 PM to 3:30 AM IST) Dedicate time to explaining and promoting the use of data science methodologies such as Media Mix Models, Geo-based Incrementally. Experiments, Causal Impact Studies, and other statistically sound testing approaches. Ensure these methodologies enhance campaign performance for existing clients, providing tangible improvements and insights. Develop, and implement Marketing Mix Models to improve media performance, customer experiences, revenue generation, and other outcomes. Work with platform partners to grow the suite of mathematical techniques for Incrementally Testing, Media Mix Modeling and Data Clean Rooms using both open-source and in-house code to create an excellent offering for clients. Document analytics projects in a manner that ensures specific processes can be replicated and scaled across an organisation. Qualifications Fluency in English. Programming proficiency in Python and SQL. 1 + years of experience in a data role. analyzing media and web data, such as Amazon Marketing Cloud, Google ADH, Campaign Manager, Meta, and Google Analytics . Proficiency in visualizing data using Tableau, Looker, Matplotlib, or equivalents. Strong Experience with the marketing ecosystem and measurement framework, including paid display, search, social, video, organic, web, and app. Skilled in media measurement methodologies such as media mix modeling, incrementality analysis, and attribution modeling. You seek and implement solutions to improve and automate processes. An understanding of machine learning concepts with hands-on experience. A collaborative mindset—you value diverse perspectives, work well in teams, and are motivated by shared goals. Problem-solving skills—when faced with challenges, you work with others to explore options and identify practical solutions. Note: We emphasise skills, expertise and behavioural attributes over years of experience and traditional degrees. If you want to join our collaborative team, we invite you to apply today with your resume in English. Additional Information Join Jellyfish and experience a workplace where we prioritise your growth, celebrate your contributions, and empower you to tailor your work environment to suit your needs. 💰 Reward: You'll be eligible to join our discretionary annual bonus scheme. 💫 Custom Work Environment: Work remotely in a night shift model. 📈 Growth, Your Way: Accumulate one paid day each month (2 hours per week) for self-development and access to Jellyfish Learn. Unfortunately, there has been an increase in fake recruiters impersonating Jellyfish and unlawfully using our brand name. If you are unsure if an email with a job offer you have received is genuinely from Jellyfish, or if you suspect any fraudulent activity, please report it to talentacquisition@jellyfish.com .

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities,collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client"s challenges of today and tomorrow.Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your role As a Senior Data Scientist, you are expected to develop and implement Artificial Intelligence based solutions across various disciplines for the Intelligent Industry vertical of Capgemini Invent. You are expected to work as an individual contributor or along with a team to help design and develop ML/NLP models as per the requirement. You will work closely with the Product Owner, Systems Architect and other key stakeholders right from conceptualization till the implementation of the project. You should take ownership while understanding the client requirement, the data to be used, security & privacy needs and the infrastructure to be used for the development and implementation. The candidate will be responsible for executing data science projects independently to deliver business outcomes and is expected to demonstrate domain expertise, develop, and execute program plans and proactively solicit feedback from stakeholders to identify improvement actions. This role requires a strong technical background, excellent problem-solving skills, and the ability to work collaboratively with stakeholders from different functional and business teams. The role also requires the candidate to collaborate on ML asset creation and eager to learn and impart trainings to fellow data science professionals. We expect thought leadership from the candidate, especially on proposing to build a ML/NLP asset based on expected industry requirements. Experience in building Industry specific (e.g. Manufacturing, R&D, Supply Chain, Life Sciences etc), production ready AI Models using microservices and web-services is a plus. Programming Languages Python NumPy, SciPy, Pandas, MatPlotLib, Seaborne Databases RDBMS (MySQL, Oracle etc.), NoSQL Stores (HBase, Cassandra etc.) ML/DL Frameworks SciKitLearn, TensorFlow (Keras), PyTorch, Big data ML Frameworks - Spark (Spark-ML, Graph-X), H2O Cloud Azure/AWS/GCP Your Profile Predictive and Prescriptive modelling using Statistical and Machine Learning algorithms including but not limited to Time Series, Regression, Trees, Ensembles, Neural-Nets (Deep & Shallow CNN, LSTM, Transformers etc.). Experience with open-source OCR engines like Tesseract, Speech recognition, Computer Vision, face recognition, emotion detection etc. is a plus. Unsupervised learning Market Basket Analysis, Collaborative Filtering, Dimensionality Reduction, good understanding of common matrix decomposition approaches like SVD. Various Clustering approaches Hierarchical, Centroid-based, Density-based, Distribution-based, Graph-based clustering like Spectral. NLP Information Extraction, Similarity Matching, Sentiment Analysis, Text Clustering, Semantic Analysis, Document Summarization, Context Mapping/Understanding, Intent Classification, Word Embeddings, Vector Space Models, experience with libraries like NLTK, Spacy, Stanford Core-NLP is a plus. Usage of Transformers for NLP and experience with LLMs like (ChatGPT, Llama) and usage of RAGs (vector stores like LangChain & LangGraps), building Agentic AI applications. Model Deployment ML pipeline formation, data security and scrutiny check and ML-Ops for productionizing a built model on-premises and on cloud. Required Qualifications Masters degree in a quantitative field such as Mathematics, Statistics, Machine Learning, Computer Science or Engineering or a bachelors degree with relevant experience. Good experience in programming with languages such as Python/Java/Scala, SQL and experience with data visualization tools like Tableau or Power BI. Preferred Experience Experienced in Agile way of working, manage team effort and track through JIRA Experience in Proposal, RFP, RFQ and pitch creations and delivery to the big forum. Experience in POC, MVP, PoV and assets creations with innovative use cases Experience working in a consulting environment is highly desirable. Presupposition High Impact client communication The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI.

Title: Lead Data Scientist (Python) Required Technical Skillset:Language : Python, PySpark Framework - Scikit-learn, TensorFlow, Keras, PyTorch, Libraries - NumPy, Pandas, Matplotlib, SciPy, Scikit-learn - DataFrame, Numpy, boto3 Database - Relational Database(Postgres), NoSQL Database (MongoDB) Cloud - AWS cloud platforms Other Tools - Jenkins, Bitbucket, JIRA, Confluence A machine learning engineer is responsible for designing, implementing, and maintaining machine learning systems and algorithms that allow computers to learn from and make predictions or decisions based on data. The role typically involves working with data scientists and software engineers to build and deploy machine learning models in a variety of applications such as natural language processing, computer vision, and recommendation systems. The key responsibilities of a machine learning engineer includes: Collecting and preprocessing large volumes of data, cleaning it up, and transforming it into a format that can be used by machine learning models. Model building which includes Designing and building machine learning models and algorithms using techniques such as supervised and unsupervised learning, deep learning, and reinforcement learning. Evaluating the model performance of machine learning models using metrics such as accuracy, precision, recall, and F1 score. Deploying machine learning models in production environments and integrating them into existing systems using CI/CD Pipelines, AWS Sagemaker Monitoring the performance of machine learning models and making adjustments as needed to improve their accuracy and efficiency. Working closely with software engineers, product managers and other stakeholders to ensure that machine learning models meet business requirements and deliver value to the organization. Requirements and Skills: Mathematics and Statistics: A strong foundation in mathematics and statistics is essential. They need to be familiar with linear algebra, calculus, probability, and statistics to understand the underlying principles of machine learning algorithms. Programming Skills: Should be proficient in programming languages such as Python. The candidate should be able to write efficient, scalable, and maintainable code to develop machine learning models and algorithms. Machine Learning Techniques: Should have a deep understanding of various machine learning techniques, such as supervised learning, unsupervised learning, and reinforcement learning and should also be familiar with different types of models such as decision trees, random forests, neural networks, and deep learning. Data Analysis and Visualization: Should be able to analyze and manipulate large data sets. The candidate should be familiar with data cleaning, transformation, and visualization techniques to identify patterns and insights in the data. Deep Learning Frameworks: Should be familiar with deep learning frameworks such as TensorFlow, PyTorch, and Keras and should be able to build and train deep neural networks for various applications. Big Data Technologies: A machine learning engineer should have experience working with big data technologies such as Hadoop, Spark, and NoSQL databases. They should be familiar with distributed computing and parallel processing to handle large data sets. Software Engineering: A machine learning engineer should have a good understanding of software engineering principles such as version control, testing, and debugging. They should be able to work with software development tools such as Git, Jenkins, and Docker. Communication and Collaboration: A machine learning engineer should have good communication and collaboration skills to work effectively with cross-functional teams such as data scientists, software developers, and business stakeholders.

Company: Haris & Co Academy Location: Calicut, Kerala Job Summary: Haris & Co Academy is seeking a dynamic and skilled Python Django Full-Stack Mentor to lead learners through an AI-integrated full-stack development journey. This role involves delivering project-based training in Python, Django, React.js, MySQL, and other key technologies, with a special focus on AI-powered web development. As a mentor, you will guide students from fundamental programming concepts to deployment-ready full-stack applications, preparing them for professional roles in tech. Key Responsibilities: Mentorship & Guidance: Provide 1:1 and group mentorship to learners across all levels. Support students in debugging code, understanding concepts, and building real-world projects. Monitor student progress and offer tailored learning strategies. Curriculum Delivery: Deliver structured, project-based sessions across five modules: Python, Frontend (React.js), MySQL, Django, and API/Cloud deployment. Ensure understanding of both theoretical and practical aspects, including: Python basics to OOP and AI modules React fundamentals and advanced state management Django ORM, views, templates, authentication REST APIs with Django REST Framework Cloud deployment with PythonAnywhere Real-World Projects: Guide students through 6+ end-to-end projects, including an AI-Integrated Full-Stack Web Application. Review student code and provide actionable feedback on performance, structure, and best practices. AI & Industry Integration: Integrate Python libraries like NumPy, Pandas, and Matplotlib in web development contexts. Share real-world insights and use cases related to AI-powered web applications. Career Support: Assist in GitHub portfolio building, project documentation, and deploying apps. Guide students in resume writing, LinkedIn optimization, and interview preparation for developer roles. Operational Support: Support daily academic operations, contribute to curriculum updates, and assist in organizing workshops, hackathons, or bootcamps. Qualifications: Technical Skills: Strong expertise in Python, Django, Django REST Framework, React.js, MySQL, HTML/CSS/JS. Proficient in Python libraries for data analysis and visualization (NumPy, Pandas, Matplotlib). Understanding of RESTful API design, version control (Git/GitHub), and basic cloud deployment (e.g., PythonAnywhere, Heroku). Bonus: Knowledge of asynchronous programming, image processing, and AI model integration. Soft Skills: Excellent communication and presentation skills. Passion for teaching and mentoring learners. Ability to simplify complex concepts and encourage project-based learning. Preferred: Prior experience as a trainer, mentor, or instructor in an academic/bootcamp setting. Familiarity with agile workflows and edtech platforms. Experience deploying web applications and integrating third-party APIs. Job Type: Freelance Work Location: In person

Gurugram Full Time About Klook We are Asia’s leading platform for experiences and travel services, and we believe that we can help bring the world closer together through experiences . Founded in 2014 by 3 avid travelers, Ethan Lin, Eric Gnock Fah and Bernie Xiong, Klook inspires and enables more moments of joy for travelers with over half a million curated quality experiences ranging from the biggest attractions to paragliding adventures, iconic museums to rich cultural tours, and other convenient local travel services across 2,700 destinations around the world. Do you share our belief in the wonders of travel? Our international community of over 1,800 employees, based in 30+ locations, certainly do! Global citizens ourselves, Klookers are not only curating memorable experiences for others but also co-creating our world of joy within Klook. We work hard and play hard, upkeeping our high-performing culture as we are guided daily by our 6 core values: Customer First Push Boundaries Critical Thinking Build for Scale Less is More Win as One We never settle, and together, we believe in achieving greater heights and realizing endless possibilities ahead of us in the dynamic new era of travel. Care to be a part of this revolution? Join us! As a Data Scientist within the Pricing Strategy team, you will play a pivotal role in driving data-driven decision-making and optimizing pricing strategies. You will leverage your expertise in data science and analytics to develop and implement dynamic pricing models, predictive and prescriptive analysis, ultimately contributing to revenue growth and market competitiveness. What you'll do: Dynamic Pricing Model Development: Develop and implement advanced dynamic pricing models to optimize product pricing across various channels and markets. Predictive Analytics: Utilize predictive modeling techniques to forecast demand, market trends, and customer behavior, enabling proactive pricing adjustments. Prescriptive Analysis: Employ prescriptive analytics to identify optimal pricing strategies based on specific business objectives and constraints. Data Exploration and Analysis: Conduct in-depth data exploration and analysis to uncover valuable insights and inform pricing decisions. Model Evaluation and Refinement: Continuously evaluate and refine pricing models to ensure their accuracy and effectiveness. Collaboration: Collaborate with cross-functional teams (e.g., marketing, sales, finance) to align pricing strategies with overall business goals. Stay Updated : Stay abreast of the latest advancements in data science and pricing optimization techniques. What you'll need: Master's degree or PhD in Data Science, Statistics, Computer Science, Economics, or a related field. A minimum of 3-4 years of relevant experience in the field of Data Science. Strong programming skills in Python or R, including proficiency in data manipulation, analysis, and visualization libraries (e.g., Pandas, NumPy, Matplotlib, Seaborn). Experience with machine learning algorithms and techniques (e.g., regression, classification, clustering, time series analysis). Knowledge of statistical modeling and hypothesis testing. Experience with data warehousing and cloud computing platforms (e.g., AWS, GCP, Azure) is a plus. Excellent problem-solving and analytical skills. Ability to communicate complex technical concepts to both technical and non-technical audiences. Passion for data-driven decision-making and a continuous learner mindset. Klook is proud to be an equal opportunity employer. We hire talented and passionate people of all backgrounds. We believe that a joyful workplace is an inclusive workplace, one where employees from all walks of life have an equal opportunity to thrive. We’re dedicated to creating a welcoming and supportive culture where everyone belongs.

Job Responsibilities 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. 9. Embedded Systems & Microcontrollers (Arduino, PIC,Circuit Design & PCB Layout (Altium, KiCad, OrCAD, Eagle) 10. Power Electronics & Electrical Testing (Load testing, insulation resistance, high-voltage testing) Skills & Traits: · 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. Qualification: B.Tech/B.E. /M.Tech in Electronics & Communication, Electrical, Instrumentation, Mechatronics, or Computer Science Engineering Experience: Minimum 3-6 yrs.

Key Responsibilities Business Process Analysis Design and maintain comprehensive analytics frameworks for business processes and financial workflows Develop dashboards and reports that provide real-time insights into key business metrics Analyze user interaction patterns with AI features to improve adoption and effectiveness Create and maintain ETL pipelines (if necessary) to ensure data quality and accessibility Generate actionable insights from complex financial datasets to guide product strategy AI Platform Analysis Develop and implement frameworks to evaluate the performance of LLM-based systems and AI agent.s Analyze AI model outputs, response quality, and automation effectiveness Track and report on key AI performance metrics such as accuracy, latency, and automation rates Collaborate with ML engineers to identify areas for model improvements based on data insights Create dashboards for monitoring AI system performance and reliability Conduct A/B testing of different AI configurations and prompt strategies Strategic Impact Provide data-driven recommendations for improving both AI capabilities and business processes Partner with product teams to define and track success metrics for AI features Collaborate with customer success teams to analyze user feedback and AI system effectiveness Build and maintain documentation for AI performance metrics and analytics processes Qualifications Required Qualifications 5+ years of experience in data analysis, with recent exposure to AI/ML systems Strong proficiency in SQL and Python for data manipulation and analysis Experience analyzing AI/ML system performance and metrics Expert-level experience with business intelligence tools (e.g., Tableau, Power BI, Looker) Experience working with large-scale financial datasets and ETL processes Strong statistical analysis skills and experience with A/B testing Experience with cloud-based data warehouses (preferably Snowflake) Bachelor’s degree in Statistics, Mathematics, Computer Science, or related field Preferred Qualifications Experience analyzing LLM-based systems and generative AI applications Knowledge of NLP metrics and evaluation frameworks Experience with financial systems and processes (AP, AR, Vendor Management) Familiarity with prompt engineering and LLM performance optimization Experience with real-time analytics and streaming data Knowledge of data privacy and compliance requirements in finance Master’s degree in related field Technical Skills Data Analysis & Visualization Python (Pandas, NumPy, Matplotlib, Seaborn, Plotly, Dash) SQL (expert-level analytics) Tableau/Power BI/QuickSight Excel (advanced) AI/ML Analytics LLM evaluation metrics AI monitoring frameworks Prompt effectiveness analysis Data Infrastructure Snowflake or similar data warehouses AWS/Azure data services Experience with ETL tools and frameworks Data modeling Statistics & Testing Statistical analysis A/B testing Hypothesis testing Experimental design Skills: llm evaluation metrics,data,etl,analytics,cloud-based data warehouses,ai monitoring frameworks,statistical analysis,power bi,a/b testing,looker,tableau,etl processes,data analysis,ai,sql,python

Brilliant Minds Never Stop Learning - Join a Team That Gets it Kognosdata Pvt. Ltd. (India Division of Petrabytes) : The Oil & Gas industry deals with complex scientific computations, massive datasets, and real-time decision-making challenges. Traditional software struggles to handle these demands efficiently. At Petrabytes (Kognosdata Pvt. Ltd., India Division), we're Empowering the oil & gas industry with cutting edge scientific software. We believe in collaboration & learning as they spark innovation, drive progress and push technology forward. If you love solving real-world problems with Python we want you on our team at India Division Kognosdata Pvt. Ltd. What Youll Need : Experience : We welcome experienced developers 4+ years with strong programming & problem solving skills. Must Have Skills : - Python Programming (strong foundation required) - Version Control - SVN & GIT - Data Processing - Pandas & Numpy - Big Data - pyspark - Fast api - Data Visualization - Matplotlib & Plotly - Web Development - Flask - Speaking Skills - Managing a team - Databases (SQL & NoSQL) - Problem-Solving ability - Breaking down complex challenges - Logical Thinking Your Role in Action : - Writing efficient , scalable & maintainable Python codes - Designing and implementing robust, high-performance applications - Debugging & optimize applications to ensure low-latency and high-availability - Managing a team - Ensuring privacy best practices & data protection measures - Assess and prioritize feature requests - Collaborate with internal teams to understand user requirements and deliver technical solutions - Work independently when required , while contributing to team-driven projects At Kognosdata we foster a culture of collaboration & learning! Ready to join us? Send your résumé to: hr@kognosdata.com Job Type: Full-time Pay: Up to ₹1,662,028.90 per year Ability to commute/relocate: Banaswadi, Bengaluru, Karnataka: Reliably commute or willing to relocate with an employer-provided relocation package (Required) Experience: Python: 4 years (Required) Work Location: In person