1441 Matplotlib Jobs - Page 28

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred

About Us Systango Technologies Limited (NSE: SYSTANGO) is a digital engineering company that offers enterprise-class IT and product engineering services to different size organizations. At Systango, we have a culture of efficiency - we use the best-in-breed technologies to commit quality at speed and world-class support to address critical business challenges. We leverage Gen AI, AI/Machine Learning and Blockchain to unlock the next stage of digitalization for traditional businesses. Our handpicked team is adept at web & enterprise development, mobile apps, QA and DevOps. Ulster University, Sila, Cuentas, Youtility, Porsche, MGM Grand, Deloitte, Grindr, and Tawk.to are some of the top clients that have entrusted us to enhance their digital capabilities and build disruptive innovations. We believe in making the impossible, Possible and we do it literally. About The Role We are looking for a highly skilled and experienced AI/ML Lead with deep technical expertise in machine learning, deep learning, and Generative AI. The ideal candidate will have a strong programming foundation in Python and hands-on experience with modern ML/DL frameworks, version control systems, and data pipeline tools. This role requires both individual contribution and leadership in driving AI initiatives, while effectively communicating with cross-functional teams and stakeholders. Key Responsibilities Lead the design, development, and deployment of ML/DL models for real-world applications. Apply advanced techniques such as ensemble learning, transformers, GANs, LSTMs, and reinforcement learning. Work across diverse domains like NLP, computer vision, or recommendation systems based on project needs. Build scalable APIs and services using Flask, Django, or FastAPI. Collaborate with data engineering teams to ensure data readiness for model training and evaluation. Evaluate and fine-tune models using techniques like cross-validation, hyperparameter tuning, and performance metrics. Drive GenAI adoption by leveraging LLM APIs for inference and contribute to LLM training and deployment (if applicable). Document solution architecture, workflows, and technical implementation details clearly. Mentor junior engineers and collaborate with product managers, data scientists, and other technical teams. Required Skills & Qualifications 6–9 years of hands-on experience in AI/ML and deep learning. Strong programming skills in Python and good understanding of object-oriented programming. Deep knowledge of neural networks including GANs, transformers, LSTMs, etc. Proficient in scikit-learn, pandas, NumPy, and frameworks like TensorFlow-Keras or PyTorch. Experience with version control tools such as Git and GitHub. Solid skills in data visualization tools like Matplotlib, Seaborn, or similar. Familiarity with SQL and NoSQL databases. Experience building RESTful APIs using Django, Flask, or FastAPI. Hands-on experience with GenAI models, especially using LLM APIs for inference. Good understanding of model evaluation techniques and performance metrics. Outstanding verbal and written communication skills, with the ability to clearly articulate complex technical topics. Preferred Qualifications Exposure to LLM training and deployment workflows. Experience with Big Data technologies such as Hadoop, Spark, etc. Certifications in AI/ML or cloud-based AI platforms (AWS, GCP, Azure). Experience in MLOps tools like MLflow, Kubeflow, or Weights & Biases (nice to have). Why Join Us? Be part of cutting-edge AI and GenAI product development. Work in a collaborative and innovation-driven environment. Lead high-impact projects with global exposure. Excellent growth opportunities and performance-driven culture.

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

Job Title: Data Analyst Intern Company: NovaNectar Services Pvt. Ltd. Location: GMS Road Near By Kamla Palace Chowk Dehradun Job Type: Internship (3–6 Months) About NovaNectar Services Pvt. Ltd.: NovaNectar Services Pvt. Ltd. is a forward-thinking technology company delivering data-driven solutions and innovative digital services. We help businesses unlock insights from data to drive smarter decisions and optimize operations across industries. Internship Overview: We are looking for a detail-oriented and analytical Data Analyst Intern to join our data team. This internship provides an excellent opportunity to develop your skills in data collection, analysis, visualization, and reporting using real business data. Key Responsibilities: Collect, clean, and organize raw data from various sources. Assist in analyzing datasets to identify trends, patterns, and insights. Create visualizations, dashboards, and reports to communicate findings effectively. Support data validation and quality assurance processes. Collaborate with cross-functional teams to understand data needs and deliver actionable insights. Use statistical techniques and tools to interpret data and support decision-making. Stay updated on the latest data analysis tools and methodologies. Requirements: Currently pursuing or recently completed a degree/diploma in Statistics, Mathematics, Computer Science, Economics, Data Science, or a related field. Basic knowledge of data analysis tools such as Excel, SQL, Python, or R. Familiarity with data visualization tools like Tableau, Power BI, or matplotlib is a plus. Strong analytical, problem-solving, and critical thinking skills. Attention to detail and ability to work with large datasets. Good communication skills to explain technical information clearly. Eagerness to learn and work collaboratively in a team environment. What You'll Gain: Hands-on experience analyzing real business data and solving practical problems. Mentorship from experienced data analysts and data scientists. Exposure to industry-standard tools and best practices. Certificate of completion and letter of recommendation based on performance. Potential opportunity for full-time employment after internship. Job Types: Full-time, Fresher, Internship Contract length: 3 months Pay: ₹2,000.00 - ₹4,000.00 per month Benefits: Paid sick time Schedule: Day shift Morning shift Work Location: In person

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Process mapping and identifying non value add steps / friction points in the process Discover, monitor and improve processes by extracting and analysing knowledge from the event logs in Process Mining/Celonis tool. Work alongside both technical and non-technical stakeholders to understand business challenges to help design process mining initiatives and prioritize the requests. Act as customers key contact and guide them through revealing process trends, inefficiencies & bottlenecks in the business process. Support validation of data (counts, values between source systems and Celonis). Work on process insights by creating KPIs and actions, identify process inefficiencies, and understand the root causes. Develop workflows to monitor processes, detect anomalies and turn those insights into real-time automated preventive or corrective actions using Action-engine, Action-flows and other capabilities. Technical and Functional Skills: Bachelors degree in Computer Science with 3+ years of work experience in Data Analytics, data mining & Data Transformation. Very proficient in Celonis, should be able to build, manage, and extract value from Celonis models for various use casesAdding or modifying data sources, Creating automated alerts, Action engine, Transformation center, Celonis ML workbench. Experience in SQL / PQL scripting & knowledge of data mining, should apply complex queries to build the transformation e.g. joins, union, windows functions etc. Knowledge of process improvement techniques / tools and Process Mining / Analytics. Basic knowledge of Python Scripting, should be knowing about (Numpy, Pandas, Seaborn, Matplotlib, SKLearn etc) Experience in BI tools (e.g., Tableau, Power BI etc.) Nice to have Strong communicationand presentation skills. Understanding of business processes.

Job Title: Freelance Data Analyst Trainer (Female Only) Job Location: Hyderabad, Telangana Job Type: Freelance / On-site Job Description: We are seeking a passionate and experienced Female Freelance Data Analyst Trainer to deliver engaging and insightful training sessions to college students and aspiring professionals. The trainer will be responsible for teaching key data analytics concepts, tools, and real-world applications, helping learners build practical skills required in the industry. Key Responsibilities: Deliver structured and interactive training sessions on data analytics. Customize training modules as per the learners’ level and project needs. Assess student progress and provide constructive feedback. Stay updated with the latest industry trends and tools. Key Training Topics: Introduction to Data Analytics & Data Science Data Cleaning & Preprocessing Microsoft Excel for Data Analysis SQL for Data Retrieval Python for Data Analysis (Pandas, NumPy, Matplotlib, etc.) Data Visualization (Power BI / Tableau) Statistical Analysis & Predictive Modelling Capstone Projects / Case Studies Required Skills & Qualifications: Proven experience in Data Analytics or a related training role. Proficiency in tools like Python, Excel, SQL, Tableau/Power BI. Strong communication and presentation skills. Ability to explain complex topics in simple terms. Prior experience in teaching/training (preferred). Job Types: Full-time, Freelance Contract length: 3 months Schedule: Day shift Experience: Data Analyst: 3 years (Required) Location: Hyderabad, Telangana (Required) Work Location: In person Application Deadline: 29/06/2025 Expected Start Date: 30/06/2025

Job Title: Data Analyst (with Data Visualization & Web Scraping Skills) Location: Hyderabad Experience Required: 1-2 Years Employment Type: Full-time J ob Summary: We are seeking a highly motivated and detail-oriented Data Analyst with strong expertise in data visualization, data analysis, and web scraping . The ideal candidate will be responsible for collecting, processing, and analyzing large sets of data from multiple sources and presenting them in meaningful formats to support business decisions. K ey Responsibilities: Perform end-to-end data analysis and reporting using structured and unstructured data. Build insightful and interactive dashboards and reports using tools like Power BI, Tableau, or Google Data Studio. Conduct data scraping/web scraping using tools like Python (BeautifulSoup, Selenium, Scrapy), APIs, or browser automation. Clean, transform, and validate data using tools such as Excel, SQL, or Python (pandas, numpy). Collaborate with cross-functional teams to understand data requirements and deliver actionable insights. Monitor data quality, consistency, and security in automated scraping workflows. Provide ad hoc data reports and support business teams in decision-making through analytical insights. Key Skills & Tools: Data Visualization: Power BI, Tableau, Looker, or Google Data Studio Data Analysis: SQL, Excel, Python (pandas, matplotlib, seaborn) Web/Data Scraping: BeautifulSoup, Selenium, Scrapy, Python scripting, API integration Database Knowledge: MySQL, PostgreSQL, or similar Other Tools (optional): Google Sheets, Jupyter Notebook, Git, Airflow Qualifications: Bachelor’s degree in Computer Science, Statistics, Engineering, or related field 2–5 years of hands-on experience in data analytics and scraping projects Strong understanding of data integrity, compliance, and ethical scraping practices Preferred Attributes: Strong analytical and problem-solving mindset Ability to handle large datasets efficiently Experience working in Agile/fast-paced environments Familiarity with data warehouses or cloud data platforms (e.g., AWS, BigQuery) Job Type: Full-time Pay: ₹250,000.00 - ₹400,000.00 per year Benefits: Provident Fund Schedule: Day shift Supplemental Pay: Overtime pay Work Location: In person

Job title: Freelance Trainer - AI, ML, Data Science & Data Structure. Job Location : Hyderabad ( Relocation needed based upon the project requirement) Job type: Freelance - On -site Job Description: We are seeking a passionate and knowledgeable Freelance Instructor to deliver high-quality educational sessions to college students in the areas of Artificial Intelligence (AI), Machine Learning (ML), Data Science, and Data Structures . The ideal candidate will have hands-on experience in these domains and a strong ability to simplify complex concepts for undergraduate or graduate students. Key Responsibilities: Design and deliver engaging lectures, tutorials, and hands-on sessions. Prepare course materials, assignments, and projects tailored to the college syllabus and industry standards. Explain theoretical concepts and demonstrate practical implementation using tools like Python , Jupyter , Tensor Flow, etc. Provide guidance on academic projects and practical applications. Foster curiosity and critical thinking in students. Stay updated with the latest advancements in AI, ML, and Data Science. Required Skills: Artificial Intelligence (AI): Understanding of search algorithms, knowledge representation, expert systems, and neural networks. Machine Learning (ML): Supervised and unsupervised learning, model evaluation, feature engineering, and deployment practices. Data Science: Data wrangling, visualization, statistics, exploratory data analysis, use of libraries like Pandas, Numpy, Matplotlib, etc. Data Structures: Arrays, linked lists, stacks, queues, trees, graphs, and algorithm design. Programming Languages: Strong proficiency in Python (preferred), Java or C++ is a plus. Teaching Skills: Excellent communication, classroom management, and the ability to adapt to diverse student backgrounds. Job Types: Full-time, Freelance Pay: ₹300,000.00 - ₹500,000.00 per year Schedule: Day shift Experience: Freelance Trainer: 3 years (Preferred) Language: English (Required) Work Location: In person Application Deadline: 30/06/2025 Expected Start Date: 30/06/2025

Profile Overview : We are seeking a highly driven Quantitative Research Intern to join our advanced quantitative research & development team. This role offers a unique opportunity to work on data-driven trading strategies , leveraging statistical models and advanced mathematical techniques to unlock insights from financial markets. If you have a passion for quantitative problem-solving and financial markets, this role will allow you to contribute to the next generation of trading algorithms. Key Responsibilities: Conduct data analysis and in-depth research on financial instruments to identify potential investment opportunities. Collaborate with the team to develop and optimize quantitative models used for trading strategies and market forecasting. Monitor and evaluate the performance of existing trading strategies, providing insights for further refinement. Contribute to risk management by participating in model stress testing and analyzing potential risk factors. Utilize programming languages (e.g., Python, R) to conduct quantitative analysis and statistical modeling. Prepare reports and presentations summarizing research findings, model performance, and risk assessments for stakeholders. Key Qualifications: A degree in Finance, Economics, Mathematics, Statistics, Computer Science, or a related field. Conceptual understanding of algorithmic trading. Experience: Minimum of 1 yea r of trading experience in equities, options and futures. NISM Series-VIII certification (mandatory) Strong analytical and quantitative skills with a focus on data-driven decision making. Familiarity with financial markets and a basic understanding of quantitative finance concepts. Proficiency in programming languages such as Python or R for data analysis and modeldevelopment. Excellent communication and teamwork skills, with the ability to present complex findings clearly. Preferred Skills: Knowledge of statistical and quantitative techniques used in financial modeling. Familiarity with data visualization tools (e.g., Tableau, Matplotlib) for presentingresearch insights. Experience with financial databases and data sources. A proactive, solution-oriented approach to problem-solving in a team setting. Job Type: Full-time Pay: ₹15,000.00 - ₹20,000.00 per month Schedule: Monday to Friday Weekend availability Supplemental Pay: Performance bonus Experience: equities and/derivative trading: 1 year (Required) quant trading: 1 year (Preferred) License/Certification: NISM-8 certification (Required) Work Location: In person

Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our Product Lifecycle Management (PLM) software. Siemens Digital Industries Software is seeking a detail-oriented Data Analyst to join our Strategy team where your analytical prowess will directly shape the future of industrial innovation. This pivotal role is crafted for an analytical thinker who thrives on solving complex problems and is eager to grow into a Data Science professional within our world-renowned technology ecosystem. As a Siemens Data Analyst, you'll experience an outstanding opportunity to work at the intersection of AI-driven solutions and global industrial digitalization, with clear pathways for professional development and mentorship from world-class technology leaders. Your work will not just analyze data, but will contribute to transformative technologies that solve real-world challenges for the Strategy organization. Responsibilities: Develop and maintain robust data pipelines using tools like Snowflake and ELT/ETL processes. Optimally communicate complex data findings and recommendations to both technical and non-technical stakeholders. Gather, clean, and analyze large datasets to extract meaningful insights. Develop and maintain dashboards, reports, and visualizations to track key business metrics. Collaborate with partners to define data-driven solutions and support strategic decision-making. Identify trends, patterns, and correlations in data to improve business processes. Apply SQL, Python, or R to perform data manipulation and analysis. Ensure data accuracy, integrity, and consistency across reporting platforms. Work closely with data engineers to optimize data pipelines and database structures. Experiment with innovative AI technologies (Langchain for generative AI) to explore new marketing possibilities and develop data-driven recommendations. Explore opportunities to integrate machine learning and AI techniques into analysis over time. Qualifications: Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. We are looking for candidate with 3-5 years of experience in data analysis, business intelligence, data science or a related field. Proficiency in SQL for querying and handling data! Experience with data visualization tools (e.g., Tableau, Power BI, Looker, Matplotlib, Seaborn). Familiarity with Python or R for data analysis and automation and git version control. We are seeking for candidate with solid understanding of regression analysis and other statistical methods. Experience with AI/Machine Learning frameworks (e.g., Langchain) is a strong plus. Experience with Snowflake data warehousing is a plus! Adaptable and eager to learn new tools and technologies. A results-oriented approach with a good work ethic and a passion for innovation. Strong analytical and problem-solving skills with attention to detail. Excellent communication skills to collaborate with technical and non-technical teams. Willingness to expand into machine learning and data science methodologies. Easy to work with global team and can build positive relationships with a broad set of stakeholders that have diverse interests. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We are Siemens A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow! We offer a comprehensive reward package which includes a competitive basic salary, bonus scheme, generous holiday allowance, pension, and private healthcare. Siemens Software. ‘Transform the every day with us' , #SWSaaS Less

Dear Candidate, We are hiring a Computer Vision Engineer to develop AI-driven solutions for image recognition, object detection, and video analysis. The role requires expertise in deep learning, computer vision algorithms, and real-time processing techniques. Key Responsibilities: Develop and optimize computer vision models using OpenCV, TensorFlow, and PyTorch. Implement object detection, segmentation, and facial recognition algorithms. Process and analyze large-scale image and video datasets. Optimize deep learning models for real-time inference on edge devices. Collaborate with AI and software teams to integrate vision solutions into applications. Required Skills & Qualifications: Computer Vision Frameworks: OpenCV, DLIB, MediaPipe Deep Learning: TensorFlow, PyTorch, Keras Algorithms: CNNs, YOLO, Faster R-CNN, Mask R-CNN Programming: Python, C++, CUDA Edge AI: TensorRT, OpenVINO, NVIDIA Jetson Experience with autonomous systems, OCR, and SLAM is a plus. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together Primary Responsibilities Machine Learning Model Development: Assist in designing and developing machine learning models to address business challenges Perform data preprocessing and feature engineering Support model selection and initial optimization Model Deployment and Monitoring: Assist in deploying machine learning models into production environments Monitor model performance and suggest updates and improvements Ensure models are reliable and maintainable Data Science and Data Engineering: Conduct exploratory data analysis and visualize data insights Help develop and maintain data pipelines for efficient data processing Work with data engineers to ensure data quality and integrity Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor's degree in Computer Science, Data Science, Engineering, or a related field 3+ years of experience in AI/ML engineering, data science, or a related role Experience in developing and deploying machine learning models Experience with natural language processing (NLP) and large language models (LLMs) Experience in Data Manipulation and Analysis (e.g., Pandas, NumPy, Matplotlib, Jupyter Notebooks, Databricks, AI Studio) Proficiency in data manipulation and analysis using SQL/NoSQL, Pandas, or similar tools/technologies Familiarity with cloud platforms (e.g., AWS, Azure, GCP) for model deployment Solid problem-solving skills and attention to detail Proven good communication skills Knowledge of big data technologies (e.g., Hadoop, Spark, Hive, Kafka) Solid programming skills in Python, R, Spark/PySpark, Scala, SQL Familiarity with Machine Learning Frameworks and Libraries (e.g., PyTorch, scikit-learn, TensorFlow, MLflow, Keras, XGBoost) Basic understanding of data engineering, ETL processes, and data warehousing Knowledge of visualization tools (e.g., Tableau, Power BI) At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

JOB DESCRIPTION - Why this Job is Amazing: Computer vision engineers apply computer vision and machine learning research to solve real-world problems. Their work uses large sums of data and statistics in order to complete complex tasks and supervised learning as part of computer vision tasks. Their work uses large sums of data and statistics in order to complete complex tasks and supervised learning as part of computer vision tasks. Influences top management internally & externally (industry) to accept new ideas. Creates and conceptualizes solutions to Artivatic in specific discipline. Objective of the position: The purpose of computer vision is to program a computer to understand a scene or features in an image. Typical goals of computer vision include: The detection, segmentation, localization, and recognition of certain objects in images (e.g., human faces) Role and Responsibilities: -Developing novel algorithms and modelling techniques to advance the state of the art in Document and Text Extraction -Image recognition, Object Identification, and Visual Recognition -Working closely with R&D and Machine Learning engineers implementing algorithms that power user and developer-facing products -Be responsible for measuring and optimizing the quality of your algorithms Mandatory traits/ skills: -Excellent skills in developing Python in the Linux environment. -Programming skills with multi-threaded GPUs. -Experience in applying machine learning and computer vision principles to real-world data and working in Scanned and Documented Images -Good knowledge of Computer Science, math, and statistics fundamentals (algorithms and data structures, meshing, sampling theory, linear algebra, etc.) -Knowledge of data science technologies such as Python, Pandas, Scipy, Numpy, matplotlib, etc. -Broad Computer Vision knowledge - Construction, Feature Detection, Segmentation, Classification; Machine/Deep Learning - Algorithm Evaluation, Preparation, Analysis, Modeling, and Execution. -Familiarity with Open CV, Dlib, Yolo, Capsule Network or similar and Open Source AR platforms and products -Have profound knowledge of Seq2Seq, temporal Classification, Opencv, etc. -Should have logical knowledge for generating the real-time dataset. -Added advantage if you have worked in Unstructured Documents -Strong problem-solving and logical skills. -A go-getter kind of attitude with a willingness to learn new technologies -Well-versed in software design paradigms and good development practices Qualifications  Bachelors or Master's degree in Computer Science, Computer vision, or related field with specialization in Image Processing or machine learning.  3-8 Years of Industry experience in Computer Vision  Research experience in Deep Learning models for Image processing or OCR-related field is preferred  Publication record in Deep Learning models for Computer Vision conferences/journals is a plus

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities: -Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals. -Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services. -Optimizing existing generative AI models for improved performance, scalability, and efficiency. -Ensure data quality and accuracy -Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models. -Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models. -Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers -Experience working with cloud based platforms (example: AWS, Azure or related) -Strong problem-solving and analytical skills -Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI -Prior statistical modelling experience -Demonstrable experience with deep learning algorithms and neural networks -Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. -Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills: -Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. -Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras. -Must have strong knowledge of data structures, algorithms, and software engineering principles. -Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure. -Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face. -Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly. -Need to have knowledge of software development methodologies, such as Agile or Scrum. -Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information: -Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable. -strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. -You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. 15 years full time education

Date: 20 Jun 2025 Location: Bangalore, KA, IN, 560099 Custom Field 1: Discovery Services Job Title: Bioinformatician Job Location: Bangalore About Syngene: Syngene ( www.syngeneintl.com ) is an innovation-led contract research, development and manufacturing organization offering integrated scientific services from early discovery to commercial supply. At Syngene, safety is at the heart of everything we do personally and professionally. Syngene has placed safety at par with business performance with shared responsibility and accountability, including following safety guidelines, procedures, and SOPs, in letter and spirit Overall adherence to safe practices and procedures of oneself and the teams aligned Contributing to development of procedures, practices and systems that ensures safe operations and compliance to company’s integrity & quality standards Driving a corporate culture that promotes environment, health, and safety (EHS) mindset and operational discipline at the workplace at all times. Ensuring safety of self, teams, and lab/plant by adhering to safety protocols and following environment, health, and safety (EHS) requirements at all times in the workplace. Ensure all assigned mandatory trainings related to data integrity, health, and safety measures are completed on time by all members of the team including self Compliance to Syngene’ s quality standards at all times Hold self and their teams accountable for the achievement of safety goals Govern and Review safety metrics from time to time We are seeking a highly skilled and experienced computational biologist to join our team. The ideal candidate will have a proven track record in multi-omics data analysis. They will be responsible for integrative analyses and contributing to the development of novel computational approaches to uncover biological insights. Experience: 1-4 years Core Purpose of the Role To support data-driven biological research by performing computational analysis of omics data, and generating translational insights through bioinformatics tools and pipelines. Position Responsibilities Conduct comprehensive analyses of multi-omics datasets, including genomics, transcriptomics, proteomics, metabolomics, and epigenomics. Develop computational workflows to integrate various -omics data to generate inference and hypotheses for testing. Conduct differential expression and functional enrichment analyses. Implement and execute data processing workflows and automate the pipelines with best practices for version control, modularization, and documentation. Apply advanced multivariate data analysis techniques, including regression, clustering, and dimensionality reduction, to uncover patterns and relationships in large datasets. Collaborate with researchers, scientists, and other team members to translate computational findings into actionable biological insights. Educational Qualifications Master’s degree in bioinformatics. Mandatory Technical Skills Programming: Proficiency in Python for data analysis, visualization, and pipeline development. Multi-omics analysis: Proven experience in analyzing and integrating multi-omics datasets. Statistics: Knowledge of probability distributions, correlation analysis, and hypothesis testing. Data visualization: Strong understanding of data visualization techniques and tools (e.g., ggplot2, matplotlib, seaborn). Preferred Machine learning: Familiarity with AI/ML concepts Behavioral Skills Excellent communication skills Objective thinking Problem solving Proactivity Syngene Values All employees will consistently demonstrate alignment with our core values Excellence Integrity Professionalism Equal Opportunity Employer It is the policy of Syngene to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by applicable legislation or local law. In addition, Syngene will provide reasonable accommodations for qualified individuals with disabilities.

Join our team to develop and maintain trading algorithms using Python and Pandas. No prior finance experience needed—just strong Python skills, eagerness to learn, and a growth mindset. Training in options and strategies will be provided.

Job Summary Our Data Scientists use their domain expertise to identify where AI can speed up operations, reduce costs, increase productivity, personalise the client experience; and build and deploy AI models. We’re looking for brilliant minds who are intellectually curious, analytical and willing to learn, with a numerate background in AI, mathematics, engineering, sciences or related disciplines. Our Data Scientists use their domain expertise to identify where Artificial Intelligence (AI) can speed up operations, reduce costs, increase productivity and personalise client experiences. We’re looking for brilliant minds who are intellectually curious, analytical and love to learn. About Our Digital Channels & Data Analytics (DCDA) Team They support our corporate clients, by creating a more equitable, sustainable, and prosperous future for clients and global communities through technology, data and digital. They’re responsible for being an expert in digital products and services and partner with our sales and coverage teams About Corporate & Investment Banking (CIB) For more than 170 years we’ve support clients with their transaction banking, financial markets, corporate finance and borrowing needs and provide solutions to nearly 20,000 clients in the world’s fastest-growing economies and most active trade corridors. Key Responsibilities Partner with stakeholders including our sales team, relationship managers, traders and leadership to understand where AI can optimise our business. Define AI business requirements with tangible, measurable and commercial success criteria. Mine large sets of data to uncover trends, insights, and opportunities from multiple internal and external data sources. Enhance data collection methods through augmentation, normalisation, and outlier removal. Recommend appropriate AI solutions and train AI models. Deliver self-service dashboards to report on business use case and success criteria. Use data visualisation for predicted outputs and insights and to translate complete analytics into business language. Embed a framework of continuous monitoring to deployed models and solutions, for continuous enhancement. Skills And Experience Experience and education in AI, Mathematics, Engineering, the Sciences, or related discipline. Predictive models, machine learning algorithms and large language models. Data visualisation tools, including Matplotlib, Plotly, Power BI and Tableau. Natural Language Processing (NLP). Python programming. Financial mathematics. Time series analysis. Data governance and management. AI regulatory compliance. AI techniques including quantum machine learning. About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together We Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What We Offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

(Please apply only if you have a minimum of 3 years experience) Salary: 4 LPA + Variable Pay Company: QBrainX (https://qbrainx.com/) Role: Data Science and AI ML Trainer for Kodo IT Program by QBrainX (https://xnovaq.com/kodo-program) Work Arrangement: Work from Office Office Location: Tidel Park, Coimbatore We are seeking a passionate and skilled Data Science, AI & ML Trainer with 3-5 years of experience to join our team. The ideal candidate will deliver engaging, hands-on training sessions, simplifying complex concepts and guiding learners through practical, real-world projects. This role is perfect for an individual enthusiastic about teaching and staying at the forefront of AI/ML advancements. Key Responsibilities Design and deliver high-quality training sessions on Python, Data Analysis, Machine Learning, and AI fundamentals. Collaborate with the curriculum development team to create relevant course content, hands-on exercises, and mini-projects. Mentor and support learners, addressing technical queries and fostering a collaborative learning environment. Stay updated with the latest tools, frameworks, and trends in Data Science, AI, and ML to ensure training content remains current. Evaluate learner progress and provide constructive feedback to enhance skill development. Contribute to the creation of training materials, including presentations, tutorials, and case studies. Requirements 3-5 years of professional experience in Data Science, AI/ML roles, or training. Strong proficiency in Python and key libraries such as Pandas, NumPy, and Scikit-learn. Excellent communication and presentation skills, with the ability to explain complex concepts clearly. Passion for teaching, mentoring, and empowering learners. Strong organizational skills and the ability to manage multiple training sessions effectively. Proactive and self-motivated with a commitment to continuous learning. Good to Have Experience with Deep Learning frameworks such as TensorFlow or PyTorch. Familiarity with Natural Language Processing (NLP) or cloud platforms (e.g., AWS, Azure, GCP). Prior experience conducting workshops, bootcamps, or corporate training sessions. Knowledge of data visualization tools like Matplotlib, Seaborn, or Tableau. Benefits Join a dynamic team dedicated to shaping the next generation of Data Science and AI professionals. This role offers the opportunity to make a meaningful impact through teaching, while staying connected to cutting-edge developments in AI and ML. If you are excited about empowering learners and have the skills to excel as a Data Science, AI & ML Trainer, we encourage you to apply!

About Norwin technologies Norwin Technologies is part of Accscient Group which has 17 companies as part of the group, we are 20 years old US based IT Consulting and Services company that helps clients deliver technology and operational excellence specializing in IT Infrastructure. Norwin Technologies was founded in 2003. We are headquartered in Boston, and now operate with offices located in four countries (USA, India, Canada, and Mexico). Norwin has currently 700+ professionals working across these countries. In India we have offices in Bangalore, Hyderabad, Chennai and Pune and employees 150 technical professionals in India We work with some of the leading brands in the technology industry such as Dell Technologies, VMware, Ahead partnering with them to deliver IT infrastructure projects ranging from remote deployment, migrations, upgrade and operations of technologies both in Data Centres and Cloud. Why Norwin Technologies? We are a strategic partner to companies like Dell, VmWare, which means you will get opportunity to work on same projects as Dell or VmWare employees unlike at Indian services companies, the likes of Wipro, TCS, Infy etc. which work largely on support projects. So as a Norwin employee you get to upgrade your technical skills. We are very focused on developing the skills of our technical talent through training, certification, and mentorship. We are agile and fast paced organization we aim to grow to 3 times our existing headcount within next 12 months with a focus on employee development and well-being with provides an opportunity to grow in their careers. All of our employees have experience of working in large and leading MNC. We are also a Great Place to Work certified company. Job Title: Smart Python Programmer (2.5+ Years Experience) Location: 5 Days Office Employment Type: Full-Time About the Role: Were looking for smart, high-agency Python programmers with a solid understanding of modern AI tooling and programming workflows. This role isn't about checking boxes or having built a specific kind of AI pipeline it's about your ability to leverage the Python ecosystem and AI tools to build smart solutions faster and better . If you're someone who figures things out quickly, enjoys working with cutting-edge AI tooling, and is always finding smarter ways to code this is the place for you. What You’ll Work On: Building intelligent and scalable systems using Python and modern libraries Designing and integrating data ingestion pipelines for AI/ML workflows Parsing, chunking, embeddings, storage, retrieval (dense/hybrid search, etc.) Using and combining libraries and tools like: pandas, numpy, scipy, matplotlib, seaborn spacy, beautifulsoup, scikit-learn, keras, tensorflow, pytorch, etc. Applying prompt engineering frameworks such as COSTAR, CARE, RACE, RISE , etc. Working with AI coding accelerators: Replit, Cursor, Codeium, Copilot , and more Rapid prototyping and iterating on AI-enhanced software products What We’re Really Looking For: Smart coders who learn fast and ship faster People who leverage AI tools effectively to increase velocity Deep comfort with the Python ecosystem — you know what to use and when Curiosity and the drive to constantly improve your coding stack and speed Requirements: 2.5+ years of professional experience in Python programming Strong experience with data manipulation, ML libraries, and model integration Experience building or integrating data ingestion pipelines (text-centric focus is a plus) Solid grasp of prompt engineering concepts and frameworks Comfort using AI-enhanced development tools to optimize workflows Bonus Points: Exposure to vector databases and retrieval methods (e.g., FAISS, Pinecone) Experience with LLM applications and prompt-tuning Open-source contributions or cool personal projects Reference Links: www.norwintechnologies.com www.accscient.com Regards, Ipshita Saha Talent Acquisition Specialist Norwin Technologies IPSHITA SAHA | LinkedIn

AI Analytics Intern Company Overview: Branding Pioneers, located at 750 Udyog Vihar, Phase 5, Gurgaon, is a renowned digital marketing agency specializing in tailored online marketing solutions, with a significant emphasis on the healthcare sector. Location: Gurgaon, Haryana Duration: 3-6 months About Branding Pioneers: Branding Pioneers is a premier digital marketing agency specializing in healthcare marketing. Our comprehensive services include SEO, social media marketing, content marketing, and influencer collaborations, all aimed at enhancing our clients' online presence and engagement. brandingpioneers.com Role Overview: As an AI Analytics Intern, you will work closely with our Data Science and AI teams to extract insights from complex datasets, build predictive models, and support data-driven decision-making across the organization. Key Responsibilities: Assist in collecting, cleaning, and organizing large datasets from various sources. Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies. Develop and test predictive models using machine learning algorithms. Use data visualization tools (e.g., Power BI, Tableau, Matplotlib, Seaborn) to present analytical findings. Interpret data and communicate insights to technical and non-technical stakeholders. Support the team in developing AI tools, dashboards, and reports. Collaborate on A/B testing and optimization initiatives. Document processes, models, and results for knowledge sharing. Qualifications: Currently pursuing or recently completed a Bachelor’s/Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Strong foundation in statistics, data analysis, and machine learning. Experience with Python (NumPy, Pandas, Scikit-learn), R, or SQL. Familiarity with visualization tools like Power BI, Tableau, or libraries like Plotly. Understanding of AI/ML concepts and data modeling techniques. Knowledge of cloud platforms (AWS, Google Cloud, Azure) is a plus. Excellent analytical and problem-solving skills. Strong communication and teamwork abilities. What You’ll Gain: Hands-on experience working with AI and analytics projects in a collaborative environment. Exposure to real business challenges and how AI-driven insights solve them. Mentorship from experienced AI and Data professionals. Opportunity to contribute to impactful projects with potential for a full-time offer. Job Type: Internship Contract length: 6 months Pay: 0 - 10 k per month Schedule: Day shift Ability to commute/relocate: Gurgaon, Haryana: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): How many years of experience do you have in AI Analytics ? Location: Gurgaon, Haryana (Preferred) Willingness to travel: 25% (Preferred) Work Location: In person Application Deadline :28 June 2025 Expected Start Date :7 July 2025 Job Type: Full-time Pay: ₹5,000.00 - ₹10,000.00 per month Schedule: Day shift Ability to commute/relocate: Gurugram, Haryana: Reliably commute or planning to relocate before starting work (Preferred) Experience: Analytics: 1 year (Preferred) Location: Gurugram, Haryana (Preferred) Shift availability: Day Shift (Preferred) Willingness to travel: 25% (Preferred) Work Location: In person Application Deadline: 29/06/2025 Expected Start Date: 07/07/2025

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? Job Title: Junior Data Scientist – Predictive Forecasting Location: Growth Analytics Centre, Bengaluru Company: ABInbev About Us The largest Beer Company in the world. Job Summary We are seeking a talented Data Scientist specializing in Statistical modelling, Predictive modelling, Time Series Forecasting to join our dynamic analytics team. The ideal candidate will have a strong background in statistical modeling and machine learning, with a focus on time series analysis. You will be responsible for developing predictive models for Business Cycles and Monthly Performance Monitoring, generating actionable insights from Forecasts, and driving business value through data-driven decision-making. Key Responsibilities Develop and Implement Models: Design and implement and Maintain time series forecasting models to predict key business metrics. Utilize advanced statistical techniques and machine learning algorithms to improve model accuracy. Data Analysis and Insight Generation: Analyze large and complex datasets to identify trends, patterns, and anomalies. Generate actionable insights that inform business strategies and operational improvements. Collaborate with Cross-Functional Teams: Work closely with deployment and development data scientists, and other stakeholders to understand business needs. Communicate Findings: Present analysis results and insights to stakeholders in a clear and concise manner. Prepare reports, visualizations, and dashboards to communicate data findings. Continuous Improvement: Monitor model performance and implement enhancements as necessary. Stay updated with the latest developments in data science, machine learning, and time series forecasting. Qualifications Education: Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Experience: Proven experience with time series analysis and forecasting techniques is a plus Technical Skills: Python (Data Structures, Control Flow, OOPs, Modules and Packages, Exception Handling, VENV) MLOPs Fundamentals (Model Development, VCS, CI, CD, Serving, Monitoring & Logging, Registry, Data and Model Lineage) Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow is a plus). Familiarity with data visualization tools (e.g., Power BI, matplotlib, plotly, streamlit). Data Analysis Tools - Pandas, Excel (Pivot Tables, Charts, Macros, Conditional Formatting, Shortcuts) Insights presentation - Powerpoint Version Control System (Git) - Basic Commands, Branching and Merging, Pull Requests & Code Reviews Soft Skills: Excellent problem-solving and analytical skills. Strong communication and presentation abilities. Ability to work collaboratively in a team environment.

Experience Required: 3+ Years max 5 yrs Skills Required: Data Science, Python, Pandas, Matplotlibs Job Description: We are seeking a Data Scientist with strong expertise in data analysis, machine learning, and visualization. The ideal candidate should be proficient in Python, Pandas, and Matplotlib, with experience in building and optimizing data-driven models. Some experience in Natural Language Processing (NLP) and Named Entity Recognition (NER) models would be a plus. Roles & Duties: Analyze and process large datasets using Python and Pandas. Develop and optimize machine learning models for predictive analytics. Create data visualizations using Matplotlib and Seaborn to support decision-making. Perform data cleaning, feature engineering, and statistical analysis. Work with structured and unstructured data to extract meaningful insights. Implement and fine-tune NER models for specific use cases (if required). Collaborate with cross-functional teams to drive data-driven solutions Required Skills & Qualifications: Strong proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn, etc.). Experience in data analysis, statistical modeling, and machine learning. Hands-on expertise in data visualization using Matplotlib and Seaborn. Understanding of SQL and database querying. Familiarity with NLP techniques and NER models is a plus. Strong problem-solving and analytical skills. Job Types: Full-time, Permanent Pay: ₹40,000.00 - ₹90,000.00 per month Benefits: Cell phone reimbursement Paid sick time Schedule: Day shift Monday to Friday Morning shift Work Location: In person

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? Job Title: Junior Data Scientist – Predictive Forecasting Location: Growth Analytics Centre, Bengaluru Company: ABInbev About Us The largest Beer Company in the world. Job Summary We are seeking a talented Data Scientist specializing in Statistical modelling, Predictive modelling, Time Series Forecasting to join our dynamic analytics team. The ideal candidate will have a strong background in statistical modeling and machine learning, with a focus on time series analysis. You will be responsible for developing predictive models for Business Cycles and Monthly Performance Monitoring, generating actionable insights from Forecasts, and driving business value through data-driven decision-making. Key Responsibilities Develop and Implement Models: Design and implement and Maintain time series forecasting models to predict key business metrics. Utilize advanced statistical techniques and machine learning algorithms to improve model accuracy. Data Analysis and Insight Generation: Analyze large and complex datasets to identify trends, patterns, and anomalies. Generate actionable insights that inform business strategies and operational improvements. Collaborate with Cross-Functional Teams: Work closely with deployment and development data scientists, and other stakeholders to understand business needs. Communicate Findings: Present analysis results and insights to stakeholders in a clear and concise manner. Prepare reports, visualizations, and dashboards to communicate data findings. Continuous Improvement: Monitor model performance and implement enhancements as necessary. Stay updated with the latest developments in data science, machine learning, and time series forecasting. Qualifications Education: Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Experience: Proven experience with time series analysis and forecasting techniques is a plus Technical Skills: Python (Data Structures, Control Flow, OOPs, Modules and Packages, Exception Handling, VENV) MLOPs Fundamentals (Model Development, VCS, CI, CD, Serving, Monitoring & Logging, Registry, Data and Model Lineage) Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow is a plus). Familiarity with data visualization tools (e.g., Power BI, matplotlib, plotly, streamlit). Data Analysis Tools - Pandas, Excel (Pivot Tables, Charts, Macros, Conditional Formatting, Shortcuts) Insights presentation - Powerpoint Version Control System (Git) - Basic Commands, Branching and Merging, Pull Requests & Code Reviews Soft Skills: Excellent problem-solving and analytical skills. Strong communication and presentation abilities. Ability to work collaboratively in a team environment.

We are looking for a skilled data professional to support a project focused on generating high-quality visual outputs from code-based prompts for AI Data Training. The ideal candidate will have hands-on experience with data visualization tools, a solid understanding of statistical concepts, and the ability to evaluate code and graphical outputs effectively. This contract role is designed for someone who can contribute technical expertise toward improving AI systems through structured content creation and review. What You’ll Do Create Prompt-Based Content Design coding exercises and sample responses to teach models how to generate a range of plots and graphs from structured prompts. Develop examples across common data analysis scenarios involving basic statistics, distributions, and experimental methods. Ensure clarity, correctness, and completeness in both code and the associated visual outputs. Assess Quality of Model Output Review responses generated by AI for correctness in code and visual presentation. Identify errors in statistical interpretation or visualization logic, and suggest improvements. Provide feedback on the model’s use of plotting libraries and its understanding of core data analysis workflows. Support Evaluation Criteria Validate that visualizations convey appropriate insights based on statistical inputs like averages, variability, and distribution type. Check for proper usage of tools such as pandas, matplotlib, and seaborn, as well as the structure and readability of code. Help refine evaluation guidelines by assessing performance across a range of prompt types.

Job Title: Freelance Data Analyst Trainer (Female Only) Job Location: Hyderabad, Telangana Job Type: Freelance / On-site Job Description: We are seeking a passionate and experienced Female Freelance Data Analyst Trainer to deliver engaging and insightful training sessions to college students and aspiring professionals. The trainer will be responsible for teaching key data analytics concepts, tools, and real-world applications, helping learners build practical skills required in the industry. Key Responsibilities: Deliver structured and interactive training sessions on data analytics. Customize training modules as per the learners’ level and project needs. Assess student progress and provide constructive feedback. Stay updated with the latest industry trends and tools. Key Training Topics: Introduction to Data Analytics & Data Science Data Cleaning & Preprocessing Microsoft Excel for Data Analysis SQL for Data Retrieval Python for Data Analysis (Pandas, NumPy, Matplotlib, etc.) Data Visualization (Power BI / Tableau) Statistical Analysis & Predictive Modelling Capstone Projects / Case Studies Required Skills & Qualifications: Proven experience in Data Analytics or a related training role. Proficiency in tools like Python, Excel, SQL, Tableau/Power BI. Strong communication and presentation skills. Ability to explain complex topics in simple terms. Prior experience in teaching/training (preferred). Job Types: Full-time, Freelance Contract length: 3 months Schedule: Day shift Experience: Data Analyst: 3 years (Required) Location: Hyderabad, Telangana (Required) Work Location: In person Application Deadline: 29/06/2025 Expected Start Date: 30/06/2025