1437 Matplotlib Jobs - Page 16

As a Data Analyst, you will be responsible for collecting, organizing, and cleaning large datasets from various sources such as internal databases, external APIs, and spreadsheets to ensure data accuracy and consistency. Your role will involve performing exploratory data analysis to identify trends, patterns, and anomalies, as well as conducting statistical analysis to support decision-making processes. You will be expected to create clear and actionable reports and dashboards for technical and non-technical stakeholders, utilizing tools such as PowerBI, Tableau, and Python libraries for data visualization. Additionally, you will work on generating descriptive, predictive, and prescriptive insights using tools like MS Copilot in PowerBI and collaborate with cross-functional teams to provide actionable insights based on data analysis. Ensuring data integrity and security will be a key aspect of your role, where you will need to comply with data privacy policies and maintain data integrity while implementing best practices for data storage and access. Continuous improvement is also essential, as you will need to stay updated with emerging data analysis techniques, tools, and industry trends to recommend improvements in data collection, processing, and analysis procedures. To qualify for this role, you should have a Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field. A Master's degree or relevant certifications in data analysis or business intelligence would be a plus. You should also have at least 7 years of experience as a Data Analyst or in a similar analytical role, along with proficiency in SQL, data visualization tools, and data manipulation and analysis tools such as Python and R. Strong analytical and problem-solving abilities, attention to detail, excellent communication skills, and the ability to work both independently and as part of a team are essential soft skills for this role. Moreover, having knowledge of statistical analysis, machine learning, and AI concepts would be advantageous for more advanced roles. Overall, as a Data Analyst, you will play a crucial role in analyzing data, providing insights for decision-making, ensuring data integrity, and contributing to continuous improvements in data analysis processes and procedures.,

Data Scientist II Hyderabad, Telangana, India Date posted Jul 15, 2025 Job number 1847276 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Data Science Employment type Full-Time Overview 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. 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 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. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. 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.

You are a Python Developer with 2 to 3 years of experience in Machine Learning and Artificial Intelligence. Your primary responsibility will be to develop, train, and deploy machine learning models using Python. You will collaborate with data science and engineering teams to create intelligent solutions that address real-world problems. Your tasks will include working on AI-driven applications such as predictive modeling, natural language processing, and computer vision based on project requirements. You will need to preprocess, clean, and transform data for training and evaluation purposes. Model training, tuning, evaluation, and deployment using tools like scikit-learn, TensorFlow, or PyTorch will also be part of your role. It is essential for you to write modular, efficient, and testable code and document processes, models, and experiments clearly for team use and future reference. Staying updated with the latest trends and advancements in AI and machine learning is crucial for this position. You should possess 2 to 3 years of hands-on experience with Python programming. A solid understanding of machine learning algorithms (supervised, unsupervised, and reinforcement learning) is necessary. Experience with libraries such as scikit-learn, pandas, NumPy, Matplotlib, and Seaborn is required, as well as exposure to deep learning frameworks like TensorFlow, Keras, or PyTorch. Good knowledge of data structures and algorithms, model evaluation techniques, and performance metrics is expected. Having familiarity with Jupyter Notebooks, version control (Git), and cloud platforms (AWS, GCP, or Azure) would be advantageous. Strong analytical and problem-solving skills are essential for this role. Ideally, you should hold a Bachelors or Masters degree in Computer Science, Data Science, Mathematics, or a related field. Experience with deploying ML models using Flask, FastAPI, or Docker is preferred. Knowledge of MLOps and model lifecycle management is an advantage, and understanding of NLP or Computer Vision is a plus.,

We are looking for a highly motivated and enthusiastic Senior Data Scientist with 5-8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. As a Senior Data Scientist, your key responsibilities will include developing and implementing machine learning models and algorithms. You will work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. It is essential to stay updated with the latest advancements in AI/ML technologies and methodologies and collaborate with cross-functional teams to support various AI/ML initiatives. To qualify for this role, you should have a Bachelor's degree in Computer Science, Data Science, or a related field. A strong understanding of machine learning, deep learning, and Generative AI concepts is required. Preferred skills for this position include experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, and Deep Learning stack using Python. Experience with cloud infrastructure for AI/ML on AWS (Sagemaker, Quicksight, Athena, Glue) is highly desirable. Expertise in building enterprise-grade, secure data ingestion pipelines for unstructured data (ETL/ELT) is a plus. Proficiency in Python, TypeScript, NodeJS, ReactJS, and frameworks like pandas, NumPy, scikit-learn, SKLearn, OpenCV, SciPy, Glue crawler, ETL, as well as experience with data visualization tools like Matplotlib, Seaborn, and Quicksight, is beneficial. Additionally, knowledge of deep learning frameworks such as TensorFlow, Keras, and PyTorch, experience with version control systems like Git and CodeCommit, and strong knowledge and experience in Generative AI/LLM based development are essential for this role. Experience working with key LLM models APIs (e.g., AWS Bedrock, Azure Open AI/OpenAI) and LLM Frameworks (e.g., LangChain, LlamaIndex), as well as proficiency in effective text chunking techniques and text embeddings, are also preferred skills. Good to have skills include knowledge and experience in building knowledge graphs in production and an understanding of multi-agent systems and their applications in complex problem-solving scenarios. Pentair is an Equal Opportunity Employer that values diversity and believes that a diverse workforce contributes different perspectives and creative ideas, enabling continuous improvement.,

Job Description: As a Data Scientist at Hitachi Solutions India Pvt Ltd in Pune, India, you will be a valuable member of our dynamic team. Your primary responsibility will be to extract valuable insights from complex datasets, develop advanced analytical models, and drive data-driven decision-making across the organization. With 8-14 years of experience, your primary skills should include Data Science, with secondary skills in Data Engineering/Data Analytics. You will play a pivotal role in working on cutting-edge AI applications with a focus on Natural Language Processing (NLP), Time Series Forecasting, and a working knowledge of Computer Vision (CV) techniques. Your role will involve collaborating with a diverse team of engineers, analysts, and domain experts to build holistic, multi-modal solutions. Your expertise in Python and libraries like Pandas, NumPy, Scikit-learn, HuggingFace Transformers, and Prophet/ARIMA will be essential. Additionally, you should have a strong understanding of the model development lifecycle, from data ingestion to deployment, and hands-on experience with SQL and data visualization tools like Seaborn, Matplotlib, and Tableau. Experience in handling retail-specific data, familiarity with cloud platforms like AWS, GCP, or Azure, and exposure to API development (FastAPI, Flask) for ML model deployment will be beneficial. Knowledge of MLOps practices, previous experience in fine-tuning language models, and expertise in Data Engineering using Azure technologies are desirable skills for this role. Key responsibilities will include applying NLP techniques to extract insights from text data, analyzing historical demand data for Time Series Forecasting, and potentially contributing to Computer Vision projects. Collaboration with cross-functional teams and developing scalable ML components for production environments will be crucial aspects of your role. Qualifications required for this position include a Master's degree in Computer Science, Data Science, Statistics, or a related field, proven experience in data science or machine learning, strong proficiency in Python and SQL, and familiarity with cloud technologies like Azure Databricks and MLflow. Excellent problem-solving skills, strong communication abilities, and the capability to work independently and collaboratively in a fast-paced environment are essential for success in this role. Please be cautious of potential scams during the recruitment process, and all official communication regarding your application and interview requests will be from our @hitachisolutions.com domain email address.,

Job Title : AI/ML Engineer / Junior Data Scientist Location : Bangalore / Pune Experience : 05 Years Employment Type : Full-Time Salary : 5 15 LPA (Based on experience and skillset) About The Role We are looking for a passionate and driven AI/ML Engineer or Junior Data Scientist to join our growing analytics and product team. Youll work closely with senior data scientists, engineers, and business stakeholders to build scalable AI/ML solutions, extract insights from complex datasets, and develop models that improve real-world decision-making. Whether you're a fresher with solid projects or a professional with up to 5 years of experience, if you're enthusiastic about AI/ML and data science, we want to hear from you! Key Responsibilities Collect, clean, preprocess, and analyze structured and unstructured data from multiple sources. Design, implement, and evaluate machine learning models for classification, regression, clustering, NLP, or recommendation systems. Collaborate with data engineers to deploy models in production (using Python, APIs, or cloud services like AWS/GCP). Visualize results and present actionable insights through dashboards, reports, and presentations. Conduct experiments, hypothesis testing, and A/B tests to optimize models and business outcomes. ? Develop scripts and reusable tools for automation and scalability of ML pipelines. Stay updated with the latest research papers, open-source tools, and trends in AI/ML. Required Skills & Qualifications Bachelors/Masters degree in Computer Science, Data Science, Mathematics, Statistics, or related fields. Strong Python programming skills with experience in libraries like NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch. Proficiency in data analysis, visualization (using tools like Matplotlib, Seaborn, Plotly, or Power BI/Tableau). Solid understanding of ML algorithms (linear regression, decision trees, random forests, SVMs, neural networks). Experience with SQL and working with large datasets. Exposure to cloud platforms (AWS, GCP, or Azure) and APIs is a plus. Knowledge of NLP, computer vision, or generative AI models is desirable. Strong problem-solving skills, attention to detail, and ability to work in agile teams. Good To Have (Bonus Points) Experience in end-to-end ML model lifecycle (development to deployment). Experience with MLOps tools like MLflow, Docker, or CI/CD. Participation in Kaggle competitions or open-source contributions. Certifications in Data Science, AI/ML, or Cloud Platforms. What We Offer A dynamic and collaborative work environment. Opportunities to work on cutting-edge AI projects. Competitive salary and growth path. Training, mentorship, and access to tools and resources. Flexible work culture and supportive teams. (ref:hirist.tech)

You are an experienced AI/ML Content Developer who will be joining an innovative EdTech team. Your primary responsibility will involve creating cutting-edge educational content in artificial intelligence and machine learning. This includes developing comprehensive courses covering various AI/ML domains such as machine learning, natural language processing, computer vision, generative AI, and agentic AI systems. Your role will be pivotal in shaping how the next generation of AI practitioners learn and apply these transformative technologies. Your key responsibilities will include designing and developing comprehensive courses, content creation in various formats like hands-on labs, interactive exercises, assessments, and project-based learning modules. You will also be structuring learning paths logically from foundational concepts to advanced AI applications. Practical coding exercises and real-world implementation scenarios using industry-standard tools and frameworks will be a significant part of your role. Ensuring that all content reflects current AI/ML best practices and industry trends will be crucial. You will be creating practical, real-world scenarios that replicate AI development workflows and challenges. Moreover, developing hands-on projects involving model training, fine-tuning, and deployment to provide learners with portfolio-worthy experience will be essential. Collaboration with the instructional design team to optimize learning outcomes for complex technical concepts is also expected. You will work closely with the 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 part of your responsibilities. Staying current with the latest AI research, tools, and educational methodologies is necessary. Additionally, integrating emerging AI technologies and frameworks into the curriculum as they become industry-relevant is also expected. To qualify for this role, you should have at least 3+ years of hands-on industry experience in machine learning, AI development, or related technical roles. Domain expertise in machine learning algorithms, deep learning architectures, and AI system design is required. Proficiency in Python and core data science libraries, experience with machine learning frameworks like PyTorch and/or TensorFlow, and expertise in natural language processing techniques are necessary technical skills. Strong communication skills, the ability to explain complex AI concepts clearly, and experience in creating compelling narratives around AI applications and use cases are also essential. Preferred qualifications include an advanced degree (Master's/PhD) in Computer Science, Machine Learning, Data Science, or related fields, 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 understanding of accessibility standards in educational content are also desirable.,

The Consultant role requires 4 to 7 years of work experience and is based in Bangalore/Gurgaon with a Hybrid work mode. The ideal candidate should possess Machine Learning, Python, and Gen AI skills. Additionally, proficiency in Python is preferred, with knowledge of other programming languages like R and Java being a plus. Experience with frameworks such as TensorFlow, PyTorch, or scikit-learn is essential. Familiarity with generative AI models like GPT, BERT, LLaMA, or other transformer-based architectures is a significant advantage. Candidates should have experience in developing, testing, and deploying high-quality AI models and solutions and be proficient in data manipulation, cleaning, and analysis. Ability to create clear visualizations using tools like Matplotlib, Seaborn, or Tableau is required. Familiarity with cloud services like AWS, Google Cloud, or Azure for deploying AI solutions is beneficial. Key Responsibilities include designing and implementing AI/ML models and data-driven solutions for complex challenges in healthcare and life sciences. The role involves analyzing large datasets to identify trends, generate insights, and support data-informed decision-making. Collaboration with consultants, data engineers, and scientists is essential to build end-to-end data pipelines and analytical workflows. Interacting with clients through interviews, workshops, and presentations to contribute to deliverables and foster strong relationships is a key aspect of the role. The candidate should be able to communicate complex analyses into actionable insights for both technical and non-technical stakeholders. Continuous learning, staying updated with AI/ML advancements, contributing to research and proposals, and mentoring junior team members are also part of the responsibilities.,

As a Software Engineer in the area of Software Engineering, you will be responsible for the development, maintenance, and optimization of software solutions and applications. You will apply scientific methods to analyze and solve software engineering problems, using your strong working experience in Python-based Django and Flask framework. Additionally, you will have experience in developing microservices based design and architecture, along with a solid understanding of programming knowledge in Javascript, HTML5, Python, Restful API, and gRPC API. Your programming experience and object-oriented concepts in Python will be crucial, as well as your knowledge of Python libraries like Numpy, Pandas, Open3D, OpenCV, and Matplotlib. You should also have knowledge of MySQL, Postgres, or MSSQL databases, 3D geometry, SSO/OpenID Connect/OAuth authentication protocols, and version control systems like GitHub, BitBucket, or GitLab. Furthermore, you should be familiar with continuous integration and continuous deployment (CI/CD) pipelines, possess basic knowledge of image processing, data analysis, and data science. Strong communication skills, analytical thinking, and the ability to handle challenges are essential for this role. You must also be a good team player, proactive in suggesting new ideas and solutions, and provide constructive analysis of team member's ideas. Having knowledge of other programming languages like C, C++, basics of machine learning, exposure to NoSQL databases, and cloud platforms such as GCP/AWS/Azure would be a plus. In this role, you will work collaboratively with other software engineers and stakeholders, demonstrating your ability to apply your skills and knowledge to achieve team goals. You will be expected to work independently with minimal supervision, delivering accurate and reliable results. Your work will involve original thought and judgment, and you may also supervise the technical and administrative work of other software engineers. If you have more than a year of relevant work experience, a solid understanding of programming concepts, software design, and software development principles, and can work cooperatively with others to achieve team goals, then you may be a great fit for this role. Organizing your time effectively and making decisions based on your understanding of the situation will be key to your success in this position.,

You are an experienced Lead Data Scientist with a minimum of 8 years of professional experience, including at least 6 years in a data science role. Your expertise lies in statistical modeling, machine learning, deep learning, and GenAI. Proficiency in Python is a must, along with hands-on experience in optimizing code for performance. You excel in data preprocessing, feature engineering, data visualization, hyperparameter tuning, and have a solid understanding of database concepts, especially while working with large datasets. You have experience deploying and scaling machine learning models in a production environment, along with familiarity with machine learning operations (MLOps) and related tools. Your knowledge extends to Generative AI concepts and LLM finetuning, supported by excellent communication and collaboration skills. Your responsibilities as a Lead Data Scientist include guiding and mentoring a high-performance team on the latest technology landscape, patterns, and design standards. You provide strategic direction and technical leadership for AI initiatives, leading the design and architecture of complex AI systems. Your role involves developing and deploying machine learning/deep learning models to address key business challenges, applying various techniques in statistical modeling, data preprocessing, feature engineering, and more. You are proficient in areas such as computer vision, predictive analytics, natural language processing, time series analysis, and recommendation systems. Furthermore, you design and optimize data pipelines for model training and deployment, utilizing model serving frameworks and APIs for integration with other systems. Your qualifications include a Bachelor's or Master's degree in a quantitative field such as statistics, mathematics, computer science, or a related area. Your primary skills encompass Python, Data Science concepts, Pandas, NumPy, Matplotlib, Artificial Intelligence, Statistical Modeling, Machine Learning, Natural Language Processing (NLP), Deep Learning, Model Serving Frameworks, MLOps, Computer Vision, Predictive Analytics, Time Series Analysis, Anomaly Detection, Recommendation Systems, Generative AI, and proficiency in Cloud Computing Platforms. Your secondary skills involve expertise in designing scalable and efficient model architectures, the ability to assess and forecast financial requirements of data science projects, and strong communication skills for conveying technical concepts to stakeholders. As a Lead Data Scientist, you stay updated with the latest advancements in data science and machine learning, particularly in generative AI, to evaluate their potential applications and serve as a primary point of contact for client managers.,

As a Data Scientist specializing in Generative AI & ML Engineering, your primary responsibility will be to research and develop AI algorithms and models. You will be tasked with analyzing data, constructing predictive models, and employing machine learning techniques to address intricate problems. Your proficiency should encompass a range of skills including proficiency in languages/frameworks such as Fast API and Azure UI Search API (React), as well as expertise in databases and ETL tools like Cosmos DB and Data Factory Data Bricks. In addition, you should have a strong command of Python and R, familiarity with Azure Cloud Basics and Gitlab Pipeline, and experience in deploying AI solutions end-to-end. In addition to your proficient skills, you are expected to possess expert-level knowledge in areas such as Azure Open AI, Open AI GPT Family of models, and Azure Storage Account. Your expertise should extend to machine learning algorithms, deep learning frameworks like TensorFlow and PyTorch, and a solid foundation in mathematics including linear algebra, calculus, probability, and statistics. Furthermore, your role will require proficiency in data analysis tools such as Pandas, NumPy, and SQL, as well as strong statistical and probabilistic modeling skills. Experience with data visualization tools like Matplotlib, Seaborn, and Tableau, along with knowledge of big data technologies like Spark and Hive, will be essential for success in this position. Overall, your experience in AI-driven analytics and decision-making systems, coupled with your ability to develop and deploy AI frameworks and models, will be critical in delivering effective solutions to complex challenges.,

As a Data Scientist at our groundbreaking digital real estate platform in Dubai, you will play a pivotal role in transforming vast datasets into predictive models and insights that will define our competitive edge. You will have the opportunity to work on challenging problems in the PropTech space and directly influence the user experience and business strategy. Your responsibilities will include designing, training, and deploying machine learning models for the "TruValue UAE" Automated Valuation Model (AVM) to predict property values. Additionally, you will develop a personalization and recommendation engine, analyze complex datasets to identify business insights and user behavior patterns, and build predictive models for forecasting metrics such as user churn and neighborhood demand dynamics. Collaboration will be key in this role, as you will work closely with backend engineers, product managers, and business stakeholders to leverage data assets and drive personalization, market intelligence, and strategic decision-making across the platform. You will also contribute to the design and development of big data infrastructure and MLOps pipelines. To be successful in this role, you should have 3-5+ years of hands-on experience as a Data Scientist, with a proven track record of building and deploying machine learning models in a production environment. A Masters degree or PhD in a quantitative field is required, along with expert proficiency in Python and its data science ecosystem. Strong practical knowledge of various machine learning techniques, advanced SQL skills, and experience with data visualization tools are also essential. Preferred qualifications include experience in the PropTech or FinTech sectors, direct experience building Automated Valuation Models (AVMs), familiarity with cloud-based data platforms and ML services, and experience with MLOps principles and tools. Additionally, experience with time-series analysis, forecasting, and Natural Language Processing (NLP) techniques would be beneficial for this role.,

As a Data Analyst at our company based in Trivandrum, you will be responsible for analyzing large volumes of log data from NGINX server logs to identify user behavior patterns, anomalies, and security events. Your role will involve interpreting various fields such as IP addresses, geolocation data, user agents, request paths, status codes, and request times to derive meaningful insights. Collaboration with AI engineers is crucial as you will work together to propose relevant features based on log behavior and traffic patterns. Your responsibilities will include validating engineered features, conducting exploratory data analysis, and ensuring the quality and alignment of feature logic with real-world HTTP behavior and use cases. Furthermore, you will be involved in developing data visualizations to represent time-series trends, geo-distributions, and traffic behavior. Your collaboration with the frontend/dashboard team will be essential in defining and testing visual requirements and anomaly indicators for real-time dashboards. In addition to your analytical tasks, you will also be responsible for identifying and addressing gaps, inconsistencies, and errors in raw logs to ensure data quality. Creating documentation that explains observed behavioral patterns, feature assumptions, and traffic insights for knowledge sharing within the ML and security team will also be part of your role. The minimum qualifications for this position include a Bachelor's degree in Computer Science, Information Systems, Data Analytics, Cybersecurity, or a related field, along with at least 2 years of experience in data analysis or analytics roles. Proficiency in SQL, Elasticsearch queries, Python for data analysis, and experience working with web server logs or structured event data are required. Strong analytical thinking skills are essential to break down complex log behavior into patterns and outliers. It would be beneficial if you have familiarity with web security concepts, experience with log analytics platforms, an understanding of feature engineering concepts in ML pipelines, or experience working on anomaly detection or security analytics systems. This is a full-time position with benefits such as health insurance and Provident Fund, with a day shift schedule from Monday to Friday. If you possess the necessary qualifications and experience, we look forward to receiving your application.,

The position of AI & Data Intern at Novasensa in Delhi NCR is a valuable opportunity to contribute to the development of a custom AI Assistant aimed at automating experiments, analyzing lab data, and supporting decision-making in sustainability challenges. As an intern, you will work with the R&D team to shape this tool and apply your programming skills to real-world scenarios. This internship offers a chance to use Python and data skills on an AI system, learn about AI's role in clean-tech innovation, and gain mentorship from a startup team working at the intersection of sustainability, engineering, and software. Your responsibilities as an AI & Data Intern will include supporting the development and testing of internal AI tools, such as programming and automation tasks. You will write Python scripts for data processing, automate R&D tasks, and assist in building backend tools for experiment tracking and analysis. Additionally, you will be involved in data analysis and visualization, where you will analyze lab results, generate visual summaries, and track patterns and insights from recycling experiments. Furthermore, you will contribute to AI Assistant Development by helping with document parsing, semantic search, and improving the performance of the AI assistant using real lab data. The ideal candidate for this internship is a curious and motivated learner with basic to intermediate Python programming skills, an understanding of data structures and functions, familiarity with data visualization tools, and an interest in AI and sustainability. Exposure to AI tools and experience with data cleaning and automation are considered advantageous. Candidates pursuing or holding degrees in Computer Science, Data Science, AI, ML, Statistics, Mathematics, or related fields are encouraged to apply. Past interns have highlighted Novasensa as a unique opportunity to work on deep-tech projects with a real impact on sustainability. If you are passionate about using your coding skills to contribute to a cleaner planet, this internship at Novasensa is the perfect opportunity for you. To apply, send your resume along with a short note explaining why you want to intern at Novasensa and what you hope to learn and contribute to hr@novasensa.com. Early applications are preferred as they are reviewed on a rolling basis. Join Novasensa to learn, build, and make an impact with your code for a greener future.,

As a Data Science Manager in the Research and Development (R&D) team at our organization, you will play a crucial role in driving innovation through advanced machine learning and AI algorithms. Your primary responsibility will involve conducting applied research, development, and validation of cutting-edge algorithms to address complex real-world problems on a large scale. You will collaborate closely with the product team to gain insights into business challenges and product objectives, enabling you to devise creative algorithmic solutions. Your role will entail creating prototypes and demonstrations to validate new ideas and transform research findings into practical innovations by collaborating with AI Engineers and software engineers. In addition, you will be responsible for formulating and executing research plans, carrying out experiments, documenting and consolidating results, and potentially publishing your work. It will also be essential for you to safeguard intellectual property resulting from R&D endeavors by working with relevant teams and external partners. Furthermore, part of your role will involve mentoring junior staff to ensure adherence to established procedures and collaborating with various stakeholders, academic/research partners, and fellow researchers to deliver tangible outcomes. To excel in this position, you are required to possess a strong foundation in computer science principles and proficient skills in analyzing and designing AI/Machine learning algorithms. Practical experience in several key areas such as supervised and unsupervised machine learning, reinforcement learning, deep learning, knowledge-based systems, evolutionary computing, probabilistic graphical models, among others, is essential. You should also be adept in at least one programming language and have hands-on experience in implementing AI/machine learning algorithms using Python or R. Familiarity with tools, frameworks, and libraries like Jupyter/Zeppelin, scikit-learn, matplotlib, pandas, Tensorflow, Keras, Apache Spark, etc., will be advantageous. Ideally, you should have at least 2-5 years of applied research experience in solving real-world problems using AI/Machine Learning techniques. Additionally, having a publication in a reputable conference or journal related to AI/Machine Learning or holding patents in the field would be beneficial. Experience in contributing to open-source projects within the AI/Machine Learning domain will be considered a strong asset. If you are excited about this challenging opportunity, please refer to the Job Code DSM_TVM for the position based in Trivandrum. For further details, feel free to reach out to us at recruitment@flytxt.com.,

As a Junior Full Stack Developer with a focus on Artificial Intelligence and Data Analytics, you will be an integral part of our team based in Bangalore. You will play a key role in the development and maintenance of web applications, collaborating with senior developers and data scientists to incorporate intelligent features that enhance our products. Your responsibilities will include assisting in the creation and upkeep of both front-end and back-end components, utilizing technologies such as HTML, CSS, JavaScript, and React basics for user interfaces. You will write efficient server-side code primarily in Python and support the integration of AI/Machine Learning models into our applications. Additionally, you will conduct data cleaning, analysis, and visualization to derive valuable insights from various datasets, while also contributing to database interactions and API development. To excel in this role, you should possess a Bachelor's degree in Computer Science, Data Science, Engineering, or a related field, or have equivalent practical experience. A solid understanding of web development concepts, familiarity with front-end frameworks like React.js, back-end languages such as Python or Node.js, and proficiency in Python programming are essential. Moreover, you should have knowledge of AI/Machine Learning principles, experience with data analysis libraries like Pandas and NumPy, and familiarity with data visualization tools/libraries such as Matplotlib, Seaborn, and D3.js basics. Your skills should also include a basic understanding of SQL for database querying, experience with version control systems like Git, and knowledge of cloud services such as AWS, Azure, or GCP for efficient API usage. Strong analytical and problem-solving capabilities, excellent communication skills, and a proactive attitude towards learning and growth in a dynamic environment are highly valued. This is a full-time position that requires your presence in the office from Monday to Friday. As we are looking for immediate joiners, please share your total and relevant experience along with your expected compensation during the application process. Join us in this exciting opportunity to contribute to cutting-edge technology solutions at our Bangalore location.,

The AI & Automation Analyst at SingleStore plays a crucial role within the Analytics, Enterprise Tech, and AI Enablement team, reporting to the head of Digital and AI Transformation. You will be an integral part of the new AI & Automation Center of Excellence, contributing to essential AI and automation solutions. Working collaboratively with various teams including analytics, engineering, business, and IT, you will be involved in designing and implementing initiatives that foster innovation, streamline operations, and enhance data-driven decision making. Your utilization of cutting-edge AI and automation technologies will be instrumental in addressing complex challenges, supporting SingleStore's enterprise digital transformation, and facilitating rapid AI adoption. Your efforts will not only drive immediate business successes but also pave the way for the future enhancement of operational and technical capabilities. In this role, your responsibilities will include engaging with internal stakeholders from different business units and functional departments to gather requirements and translate them into actionable AI and automation initiatives. You will collaborate closely with data scientists, engineers, and IT professionals to design, build, and implement scalable AI-driven solutions. Identifying and analyzing opportunities for process optimization, business automation, and operational improvement will be a key aspect of your role. You will lead the testing, validation, and iteration of AI and automation projects to ensure their robust performance, accuracy, and scalability in real-world environments. Monitoring implemented solutions, collecting feedback, and driving ongoing improvements while keeping abreast of advancements in AI technologies and best practices will be vital. Maintaining comprehensive technical documentation, preparing regular progress reports, and upholding best practices in data privacy, regulatory compliance, and ethical AI usage are also essential components of this position. **Required Qualifications:** - Bachelor's degree in Computer Science, Data Science, Engineering, or a related field. - Minimum of 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) and 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 Qualifications:** - 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 benefits. - 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 SingleStore has employees in multiple countries, some benefits may vary to ensure equitable perks and benefits across all locations. **About SingleStore:** SingleStore provides a cloud-native database offering speed and scalability to power data-intensive applications worldwide. Their distributed SQL database unifies transactional and analytical workloads, enabling leaders to deliver exceptional, real-time data experiences for customers. SingleStore, headquartered in San Francisco with offices across North America, Europe, and Asia, is venture-backed. **Diversity & Inclusion:** SingleStore is committed to diversity and inclusion, valuing individuals who thrive in diverse teams and bring a broad range of perspectives to the organization.,

You should have 3-5 years of experience working as a Power BI Developer or in a similar data analytics role. The role is based in Mohali/Pune. As a Power BI Developer, you will develop and design Power BI dashboards, reports, and visualizations to support business decision-making. You will be responsible for extracting, transforming, and loading (ETL) data from multiple sources into Power BI using Power Query, Python, and SQL. Your role will involve optimizing the performance of Power BI reports to ensure efficiency in data processing and visualization. You will create and maintain data models with relationships, calculated columns, and measures using DAX. Additionally, you will utilize Python for data pre-processing, automation, and integration with Power BI. Working closely with business stakeholders, you will understand reporting requirements and deliver customized solutions. Ensuring data accuracy and consistency across reports and dashboards will be a key aspect of your responsibilities. You will also implement row-level security (RLS) and other security measures within Power BI reports. Integration of Power BI with other tools like Azure, Power Automate, Power Apps, and Python-based scripts may be required, so staying updated with the latest Power BI and Python features is essential for enhancing reporting capabilities. The ideal candidate should have strong proficiency in Power BI Desktop, Power Query, and Power BI Service along with hands-on experience with DAX (Data Analysis Expressions) and data modeling. Proficiency in SQL for querying and transforming data is necessary. Experience working with various data sources such as SQL Server, Excel, APIs, and cloud databases is required. Proficiency in Python for data analysis, automation, and integration with Power BI is a must. Familiarity with ETL processes, data warehousing concepts, and implementing Power BI security features like RLS is desired. Strong analytical and problem-solving skills are important for this role. Excellent communication skills are essential for interacting with stakeholders and translating business needs into reports. Hands-on experience in Pandas, NumPy, and Matplotlib for data analysis in Python is preferred. Experience integrating Python scripts within Power BI via Power Query or R/Python visuals is a plus. Experience with Azure Synapse, Power Automate, or Power Apps, as well as integrating Power BI with cloud platforms like AWS or Azure, will be beneficial. Familiarity with Agile/Scrum methodologies is an advantage. Qualifications required for this role include knowledge of machine learning concepts and predictive analytics using Python. Graduation is a mandatory requirement.,

At 5X, we help companies organize their data and make it actionable. Founded by engineers who built data platforms at hypergrowth companies, we saw first-hand the complexity and fragmentation plaguing modern data stacks. That’s why we created 5X — an end-to-end data and AI platform that unifies data tooling, streamlines operations, and empowers teams to build with data without drowning in integrations and vendor sprawl. Responsibilities Understand and analyse client's business requirements to design and implement effective data solutions. Create and optimize data models to support client reporting and analytics needs. Proactively communicate with clients to provide project updates and address any issues or concerns. Comfortable to travel to meet customers in the US and go deeper on projects Provide mentorship and guidance to junior team members. Stay up-to-date with industry best practices and emerging technologies to continuously improve data engineering processes. Qualifications We are looking for people in Medellin, Colombia with Valid US Visa and 5+ years of experience in data science/analytics, with a proven track record of successfully delivering end-to-end data solutions. Skilled in statistical analysis, exploratory data analysis (EDA), and feature engineering to prepare data for model development. Experience in designing, developing, and deploying machine learning models into production environments. Proficient in supervised and unsupervised learning techniques, such as regression analysis, treebased models, and neural networks. Experience in working with ML modules such as scikit-learn, tensorflow Proficiency in SQL and Python for data manipulation and analysis. Experience in working with python modules such as pandas, numpy, matplotlib Strong understanding of business processes with a proven ability to collaborate with crossfunctional teams, identify pain points, and implement data-driven solutions. Experience with data warehouse platforms like Snowflake and Google BigQuery is highly desirable; familiarity with cloud platforms such as GCP and AWS is a plus. Experience with modern data stack tools (such as fivetran,dbt) Getting things done, knowing how to unblock yourself, communicating, and engaging with customers proactively with minimal supervision About 5X We’re a global, remote-first company building the platform we wish we had — and today, it powers the data teams building what’s next. At 5X, we combine deep technical expertise with a culture of ownership, creativity, and fun. Whether you're designing data pipelines or hosting team trivia, we believe in working hard, delivering exponential value, and enjoying the journey. Why work with us? We prioritize Outsized Impact: Everything we do is centered around driving exponential value to our customers. Our customers find it impossible to think of a world outside of 5X. We are committed to Holistic Wellness: The 4 empires which determine our overall wellbeing are the mental, emotional, physical and spiritual empires. At 5X prioritize all 4. We wholeheartedly embrace remote work: If we can’t build it from a hammock in Bali, we’re doing something wrong. 5X fully embraces remote work. We trust you will find the right balance. Transparency is fundamental to us: We put everything on the table for everyone to see. This means that you have our permission to ask the tough questions and we will answer. We don't like playing political games. Togetherness is at the core of our culture: We work together to maximize our potential. We are there for each other and treat others as we expect to be treated. This is the 5X Family and we are better together! Offsite: 1 team offsite a year to incredible destinations. Check out our recent offsites here: Thailand, Sri Lanka and Bali Know About The Company Website: https://5X.co/ LinkedIn: https://www.linkedin.com/company/datawith5X/mycompany/ Glassdoor: https://www.glassdoor.co.in/Reviews/5X-Reviews-E6110869.htm 5X in 2 minutes: https://www.youtube.com/watch?v=45Ppi00Lw70

We are Hiring | Senior Python Developer @ GSPANN Technologies, Bangalore Are you a seasoned software developer with 5 to 10 years of experience and a passion for building scalable backend systems? Were looking for someone just like you! Location: Bangalore Qualification: Bachelors degree in Engineering Availability: Immediate joiners preferred Key Responsibilities: Design and develop scalable Python applications using FastAPI Collaborate with cross-functional teams including front-end, data science, and DevOps Work with libraries like Pandas, NumPy, Scikit-learn for data-driven solutions Build and maintain robust backend APIs and database integrations Implement unit, integration, and end-to-end testing Contribute to architecture and design using best practices Mandatory Skills: Strong Python expertise with data libraries (Pandas, NumPy, Matplotlib, Plotly) Experience with FastAPI/FlaskAPI , SQL/NoSQL (MongoDB, Postgres, CRDB) Middleware orchestration (Mulesoft, BizTalk) CI/CD pipelines, RESTful APIs, OOP, and design patterns Desirable Skills: Familiarity with OpenAI tools (GitHub Copilot, ChatGPT API) Experience with Azure , Big Data , Kafka/RabbitMQ , Docker/Kubernetes Exposure to distributed and high-volume backend systems Apply Now! Send your updated resume to heena.ruchwani@gspann.com or DM me directly . Referrals are highly appreciated!

Job Summary Location-Pune/Bangalore/Hyderabad/Noida/Mumbai Experiecne -7+ Yrs. JD- Bachelor’s degree in computer science, engineering, or a related field, or equivalent practical experience with at least 8-10 years of combined experience as a Python and MLOps Engineer or similar roles. Strong programming skills in Python. Proficiency with AWS and/or Azure cloud platforms, including services such as EC2, S3, Lambda, SageMaker, Azure ML, etc. Solid understanding of API programming and integration. Hands-on experience with CI/CD pipelines, version control systems (e.g., git), and code repositories. Knowledge of containerization using Docker, Kubernetes and orchestration tools. Proficiency in creating data visualizations specifically for graphs and networks using tools like Matplotlib, Seaborn, or Plotly. Understanding of data manipulation and analysis using libraries such as Pandas and NumP0079. Problem-solving, analytical expertise, and troubleshooting abilities with attention to details. Demonstrates VACC (Visionary, Catalyst, Architect, Coach) leadership behaviors: Good self-awareness as well as system awareness. Pro-actively asks for and gives feedback. Strives to demonstrate strategic thinking as well as good business and external trends insights. Focuses on outcomes defines and deliver highest pipeline, team, talent, and organizational impact outcomes.

3 - 5 Years 3 Openings Bangalore Role description Who we are: At UST, we help the world’s best organizations grow and succeed through transformation. Bringing together the right talent, tools, and ideas, we work with our client to co-create lasting change. Together, with over 26,000 employees in 25 countries, we build for boundless impact—touching billions of lives in the process. Visit us at . You Are: UST is looking for a Data Analyst/ ML expert proficient in data analysis and algorithm development. You will work with our engineering team to develop algorithms. You will develop REST APIs, and work with data visualization tools. The Opportunity : 5+ years of experience in algorithm development Proficiency in Python for data analysis and algorithm development. Experience working with Industrial sensor systems and using time series Analysis to predict failures/anomalies. Experience working with key techniques listed here: segmentation, anomaly detection, change point detection Solid understanding of machine learning algorithms (e.g. scikit-learn) and statistical methods. Experience with data visualization tools (e.g., Matplotlib, Seaborn) to communicate insights effectively. Experience working with REST API and ORCL data systems Familiarity with data processing and manipulation libraries (e.g., Pandas, NumPy). Strong problem-solving skills and attention to detail. Excellent communication kills, both written and verbal. Preferred Skills: • Experience in semiconductor manufacturing or a related industry. Techniques like Dynamic time warping, PCA, Sensor fusion etc would be highly desirable Understanding of statistical process control (SPC) and quality control methodologies. Experience with version control systems, such as Git. Knowledge of database management systems (e.g., SQL) and data warehousing solutions. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) for advanced anomaly detection. Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure). What you need: Python,Data Analysis,Algorithm Design,Data Visualization Tools What we believe : We’re proud to embrace the same values that have shaped UST since the beginning. Since day one, we’ve been building enduring relationships and a culture of integrity. And today, it's those same values that are inspiring us to encourage innovation from everyone, to champion diversity and inclusion and to place people at the center of everything we do. Humility: We will listen, learn, be empathetic and help selflessly in our interactions with everyone. Humanity: Through business, we will better the lives of those less fortunate than ourselves. Integrity: We honor our commitments and act with responsibility in all our relationships. Equal Employment Opportunity Statement UST is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance. To support and promote the values of UST. Comply with all Company policies and procedures Skills Python,Data Analysis,Algorithm Design,Data Visualization Tools About UST UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

Company Description Louis Dreyfus Company is a leading merchant and processor of agricultural goods. Our activities span the entire value chain from farm to fork, across a broad range of business lines, we leverage our global reach and extensive asset network to serve our customers and consumers around the world. Structured as a matrix organization of six geographical regions and ten platforms, Louis Dreyfus Company is active in over 100 countries and employs approximately 18,000 people globally. Job Description Create and maintain optimal data pipeline architecture ; Assemble large, complex data sets that meet functional / non-functional business requirements; Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies. Build analytics tools that utilize the data pipeline to provide actionable insights into trade flows, weather, crop condition studies. Work with stakeholders including the Agronomists, Data Scientists, Analysts, Traders and Design teams to assist with data-related technical issues and support their data infrastructure needs. QUALIFICATIONS TO PERFORM THE JOB Other Skills & competencies /Specific knowledge/ Abilities: Strong coding skills in SQL, C++, OOPS Engineering Graduate in Computer Science & equivalent preferred. Advanced working SQL & NOSQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. ; Project management, Hands on experience with data visualization tools like Power BI, Tableau, Matplotlib, Plotly, Dash application or any front-end application. Minimum years of experience & CTC : 2-4 years experience with right skillset. Reporting Line : Will be Reporting to the GM research Education : Graduation in computering engineering and Equivalent . Languages skills: Oral and Written Fluency in English is a must. Additional Information Additional Information for the job Diversity & Inclusion LDC is driven by a set of shared values and high ethical standards, with diversity and inclusion being part of our DNA. LDC is an equal opportunity employer committed to providing a working environment that embraces and values diversity, equity and inclusion. LDC encourages diversity, supports local communities and environmental initiatives. We encourage people of all backgrounds to apply. Sustainability Sustainable value is at the heart of our purpose as a company. We are passionate about creating fair and sustainable value, both for our business and for other value chain stakeholders: our people, our business partners, the communities we touch and the environment around us What We Offer We provide a dynamic and stimulating international environment, which will stretch and develop your abilities and channel your skills and expertise with outstanding career development opportunities in one of the largest and most solid private companies in the world. We offer A workplace culture that embraces diversity and inclusivity Opportunities for Professional Growth and Development Employee Recognition Program Employee Wellness Programs - Confidential access to certified counselors for employee and eligible family members, along with monthly wellness awareness sessions. Certified Great Place to Work

Job Description The Global Data Insights and Analytics (GDI&A) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization.The candidate should possess the ability to translate a business problem into an analytical problem, identify the relevant data sets needed for addressing the analytical problem, recommend, implement, and validate the best suited analytical algorithm(s), and generate/deliver insights to stakeholders. Candidates are expected to regularly refer to research papers and be at the cutting-edge with respect to algorithms, tools, and techniques. The role is that of an individual contributor; however, the candidate is expected to work in project teams of 2 to 3 people and interact with Business partners on regular basis. Responsibilities Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making by FCSD business team Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness Qualifications Master's degree in computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. Proficient in querying and analyzing large datasets using BigQuery on GCP. Strong Python skills for data wrangling and automation. 2+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim. 2+ years of experience with both supervised and unsupervised machine learning techniques. 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or QlikSense. 1+ years' experience in SQL programming language and relational databases.

We are seeking a technically driven Associate to join our India team in Gurgaon. This role provides an exceptional opportunity to build a career at the intersection of healthcare, technology, and business analytics. You’ll receive mentorship and hands-on experience to develop core consulting and technical skills, including data modeling, cloud-based development, forecasting, and executive-level communication. ROLES AND RESPONSIBILITIES Technical Responsibilities Assist in the development and maintenance of cloud-based forecasting tools and simulation platforms, leveraging modern tech stacks. Work with Python for data transformation, statistical modeling (e.g., ARIMA, exponential smoothing), and automation tasks. Write SQL queries to extract, transform, and load large datasets for analytics and forecasting workflows. Support the creations of interactive dashboards using tools such as Power BI, Tableau, or basic web frontend to visualize insights. Apply basic cloud services knowledge (e.g., AWS S3, Lambda, EC2) to support technical delivery of forecasting solutions. Business Responsibilities Conduct secondary research to understand therapeutic areas, disease states and pharmaceutical products as relevant to the project. Develop expertise in various time series forecasting methods and apply this knowledge towards building forecasting models across multiple therapeutic areas. Contribute proactively to business development and capability-building initiatives. Translate real-world pharmaceutical problems into structured analytical approaches and modeling strategies. QUALIFICATIONS Education & Experience B.Tech/B.E. from a premier engineering college. 0–2 years of technical/analytics experience is preferred, particularly with exposure to pharma analytics, forecasting, or cloud-based application development. SKILLS & TECHNICAL PROFICIENCIES Technical Skills Intermediate proficiency in Python, especially libraries like pandas, NumPy, matplotlib/seaborn, and introductory statsmodels. Working knowledge of SQL for data querying and transformation. Exposure to web development concepts, cloud tools (AWS preferred), and creating or maintaining simple data pipelines is a plus Familiarity with dashboarding tools (Power BI, Tableau) and Excel automation (VBA/macros) is preferred Comfort with Microsoft Excel and PowerPoint for presenting data-driven insights. Pharmaceutical Knowledge Strong interest in life sciences/pharmaceutical consulting. Exposure to pharmaceutical commercial models and patient journeys is a plus. Soft Skills Strong verbal and written communication skills. Analytical and problem-solving mindset with attention to detail. Ability to work collaboratively in teams as well as independently. Willingness to learn and grow in a fast-paced, high-impact consulting environment.