3352 Data Scientist Jobs - Page 18

Role: Data Scientist Experience Level: • Senior level, with 7+ years of data science experience, including machine learning learning, AI training, and healthcare or 3D modelling projects. Project / Contract Duration: 6+ Months fixed contract. Budget: 1.5 - 2 Lakhs / Month fixed Develop ML models for prosthesis fit optimisation and outcome predictions. Design algorithms and train AI engines for clinical and 3D data processing. Work on AI modelling, simulation-based learning, and advanced analytics. Required Skills: • Python (PyTorch, TensorFlow, Scikit-learn) • Machine Learning and AI model training • Algorithm development for 3D data and clinical insights • 3D data processing (Point Clouds, Open3D) • Statistical Shape Modelling (SSM) • SQL/NoSQL database management

Dear all, We are looking for highly motivated PhD freshers in Data Science, AI/ML, or related disciplines to join our team as AI/ML Research . This role is designed for individuals with a strong academic foundation and hands-on project experience , eager to apply their knowledge in real-world AI and Large Language Model (LLM) applications . Key Responsibilities: Research, design, and implement models in AI/ML/NLP , with a focus on Large Language Models (LLMs) . Collaborate with cross-functional teams to integrate models into production or research pipelines. Contribute to codebases and perform experiments using Python and relevant ML libraries. Develop proof-of-concept (PoC) applications or tools based on self-designed research or side projects. Required Qualifications: PhD (completed) in Data Science, Computer Science, Artificial Intelligence, Machine Learning, or related fields. Strong proficiency in Python and libraries such as NumPy, pandas, scikit-learn, PyTorch, or TensorFlow . Practical understanding of foundational ML and deep learning techniques (e.g., regression, classification, transformers, etc.). Experience with LLMs (e.g., GPT, BERT, LLaMA) – either academic research or side projects. Demonstrated ability to build end-to-end AI/ML/NLP projects (e.g., GitHub projects, open-source contributions, thesis work). If you are interested, kindly share your updated CV by emailing it to recruitment.india@maxisit.com.

Job Description: Responsibilities: Develop and implement data models and algorithms to solve complex business problems. Utilize Databricks to manage and analyse large datasets efficiently. Collaborate with cross-functional teams to understand business requirements and deliver data-driven insights. Design and build scalable data pipelines and ETL processes. Perform data exploration, preprocessing, and feature engineering. Conduct statistical analysis and machine learning model development. Communicate findings and insights to stakeholders through data visualization and reports. Stay current with industry trends and best practices in data science and big data technologies. Requirements: Minimum 6 years of experience as a Data Scientist Required. Proven experience as a Data Scientist or similar role. Proficiency with Databricks and its ecosystem. Strong programming skills in Python, R, or Scala. Experience with big data technologies such as Apache Spark, Databricks. Knowledge of SQL and experience with relational databases. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud). Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Bachelor's degree in Data Science, Computer Science, Statistics, or a related field (or equivalent experience). Preferred Qualifications: Advanced degree (Master's or Ph.D.) in a relevant field. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch). Knowledge of data visualization tools (e.g., Tableau, Power BI). Familiarity with version control systems (e.g., Git).

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Description Summary: What you need to know about the role Global Fraud Prevention resides in the Global Risk Management (GRM) organization that supports various business lines in optimizing risk and rewards to enable profitable business growth You will work with a team of global risk professionals focusing on managing the EU & UK acquisition strategies to support the growth of Small Medium Business (SMB) line of business across EU & UK Meet our team: This role reports to the Senior Manager of Global SMB Onboarding Risk Management. In addition, you will work closely with SMB business leaders, Risk Products, Decision Science, Fraud Operations, and Engineering to execute on the acquisition risk management roadmap that you and your team will develop to mitigate 3rd party fraud and 1st party abuse as well as money movement risks. Job Description: Essential Responsibilities: Develop and implement data science models and algorithms. Analyze and interpret complex data sets. Ensure data quality and integrity. Collaborate with stakeholders to understand data requirements. Optimize data processes for efficiency and performance. Perform advanced statistical analysis and reporting. Minimum Qualifications: Minimum of 2 years of relevant work experience and a Bachelor's degree or equivalent experience. PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us. For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset-you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com Who We Are: To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, 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 federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply. REQ ID R0128699

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Description Summary: What you need to know about the role Global Fraud Prevention resides in the Global Risk Management (GRM) organization that supports various business lines in optimizing risk and rewards to enable profitable business growth You will work with a team of global risk professionals focusing on managing the EU & UK acquisition strategies to support the growth of Small Medium Business (SMB) line of business across EU & UK Meet our team: This role reports to the Senior Manager of Global SMB Onboarding Risk Management. In addition, you will work closely with SMB business leaders, Risk Products, Decision Science, Fraud Operations, and Engineering to execute on the acquisition risk management roadmap that you and your team will develop to mitigate 3rd party fraud and 1st party abuse as well as money movement risks. Job Description: Essential Responsibilities: Develop and implement data science models and algorithms. Analyze and interpret complex data sets. Ensure data quality and integrity. Collaborate with stakeholders to understand data requirements. Optimize data processes for efficiency and performance. Perform advanced statistical analysis and reporting. Minimum Qualifications: Minimum of 2 years of relevant work experience and a Bachelor's degree or equivalent experience. PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us. For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset-you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com Who We Are: To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, 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 federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply. REQ ID R0128699

GWC DATA.AI is looking for a passionate and curious Data Scientist to join our Data Science team in Kolkata . This role is ideal for recent graduates or individuals with up to 2 year of experience in data analytics or machine learning. You will work alongside senior data professionals on projects involving data analysis, predictive modeling, and business intelligence. Key Responsibilities: Collect, clean, and analyze large datasets using statistical tools and programming languages Assist in building machine learning models and algorithms to support business solutions Create data visualizations and reports to communicate insights clearly Work closely with senior data scientists, analysts, and engineering teams Document data science workflows, methodologies, and outcomes Stay updated on the latest trends and technologies in data science Required Skills & Qualifications: Machine Learning, Deep Learning, NLP, Computer Vision, GenAI. 2+ Years of Experience Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field Basic knowledge of Python or R for data analysis Familiarity with SQL and data querying Understanding of statistics, data wrangling, and exploratory data analysis (EDA) Good problem-solving and communication skills Willingness to learn and grow in a fast-paced environment Job Types: Full-time, Permanent Pay: ₹344,590.33 - ₹1,750,111.38 per year Schedule: Day shift Monday to Friday Experience: Data science: 2 years (Preferred) Machine learning: 2 years (Preferred) Deep learning: 2 years (Preferred) Python: 2 years (Preferred) Gen AI: 1 year (Preferred) Natural language processing: 1 year (Preferred)

!!!! We are Hiring a Data Scientist (Remote)!!! Job Summary: We are seeking an experienced Data Scientist with 5 to 6 years of hands-on experience to join our analytics and AI/ML team. The ideal candidate has a strong background in statistics, machine learning, data engineering, and business analytics, and is capable of turning complex data into actionable insights and predictive solutions. Key Responsibilities: • Work with stakeholders to identify business problems and translate them into data science solutions. • Build, evaluate, and deploy machine learning and statistical models. • Perform data wrangling, feature engineering, and exploratory data analysis (EDA) on large datasets. • Design and implement data pipelines and ETL processes. • Collaborate with engineering teams to deploy models into production. • Interpret model results, validate assumptions, and communicate findings to non-technical stakeholders. • Continuously monitor model performance and retrain as necessary. • Stay up to date with the latest trends, tools, and technologies in data science and AI. Required Skills & Qualifications: • 5–6 years of experience in a data science or machine learning role. • Strong proficiency in Python (Pandas, NumPy, scikit-learn, TensorFlow/PyTorch) • Solid knowledge of machine learning algorithms, deep learning, NLP, or time series forecasting. • Experience with SQL and relational databases. • Experience with data visualization tools like QuickSight, Power BI, or Matplotlib/Seaborn. • Proficiency with cloud platforms like AWS. • Familiarity with version control systems (Git), Docker, and CI/CD workflows. • Strong communication skills and ability to present technical findings clearly to business stakeholders. Preferred Qualifications: • Master's in Computer Science, Statistics, Data Science, Mathematics, or a related field. • Experience working with big data tools such as Spark or Kafka. • Prior experience in industries such as healthcare or retail. • Background in MLOps or data science productization is a plus. Send the resume to HR@muverity.com

Job summary Entity: Technology Job Family Group: IT&S Group Job Description: Let me tell you about the role: A data scientist applies scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. Their key responsibilities include collecting and analyzing large sets of data, using machine learning algorithms, statistical models, and data processing techniques to predict future trends and provide actionable insights. A machine learning engineer designs and develops artificial intelligence (AI) systems that can learn and make decisions autonomously. Their key responsibilities include creating and optimizing machine learning models, developing algorithms that enable machines to perform tasks without explicit programming, and working with large datasets to train these models. They collaborate with data scientists, software engineers, and domain experts to implement machine learning solutions that address specific business needs. Additionally, machine learning engineers are responsible for ensuring the scalability and efficiency of machine learning systems, continuously improving model performance through rigorous testing and validation, and staying updated with the latest advancements in the field to integrate cutting-edge techniques into their work. What you will deliver Part of a cross-disciplinary team, working closely with other data scientists, data engineers software engineers, data managers and business partners. Build scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers. Carry out data analyses to yield actionable business insights. Adhere to and advocate for data science best practices (e.g. technical design, technical design review, unit testing, monitoring & alerting, checking in code, code review, documentation). Present results to peers and senior management. Actively contribute to improve developer velocity. Mentor others. What you will need to be successful (experience and qualifications) MSc or PhD degree in a quantitative field. Hands-on experience designing, planning, prototyping, productionizing, maintaining and documenting reliable and scalable data science products in complex environments. Applied knowledge as part of a team (if not leading) of data science tools and approaches across all data lifecycle stages. Thorough understanding of underlying mathematical foundations of statistics and machine learning. Development experience in one or more object-oriented programming languages (e.g. Python, Go, Java, C++) Basic SQL knowledge. Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail. Strong stakeholder management and ability to lead large organizations through influence. Continuous learning and improvement mindset. Desired Skills: Experience with big data technologies (e.g. Hadoop, Hive, and Spark) is a plus. Knowledge of experimental design and analysis is a plus. Familiarity and experience with common Energy domain data objects and formats About bp Our purpose is to deliver energy to the world, today and tomorrow. For over 100 years, bp has focused on discovering, developing, and producing oil and gas in the nations where we operate. We are one of the few companies globally that can provide governments and customers with an integrated energy offering. Delivering our strategy sustainably is fundamental to achieving our ambition to be a net zero company by 2050 or sooner! Travel Requirement Up to 10% travel should be expected with this role Relocation Assistance: This role is eligible for relocation within country Remote Type: This position is a hybrid of office/remote working Skills: Legal Disclaimer: 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, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Adecco is inviting applications for Information Analyst - Data Scientist for one of our prestigious clients based in India . We are seeking an experienced and highly skilled Information Analyst - Data Scientist to join our dynamic team. Job Title: Information Analyst - Data Scientist Job Location: India Exp Level: 5+ years Work Type: Remote Salary: Open for discussion Job Overview - We are seeking a highly motivated Data Scientist to join our team. The Data Scientists will be responsible for designing, implementing, and optimizing data solutions using Microsoft’s data platform technologies, including Azure Data Services, SQL Server, Power BI, and Fabric . This role involves collaborating with business stakeholders to gather requirements, develop data models, and deliver actionable insights through reports and dashboards. Key Accountabilities Responsibilities • Design, develop, and maintain data models, ETL/ELT pipelines, and data warehouses using Microsoft technologies (SQL Server, Azure Data Factory, Synapse Analytics, Databricks, etc.). • Analyze business requirements and translate them into technical specifications for data solutions. • Perform data profiling, cleansing, and transformation to ensure data quality and integrity. • Collaborate with business data engineers, and BI developers to understand data needs and deliver solutions. • Collaborate with business stakeholders to understand data needs and translate them into technical requirements. • Implement and maintain data governance, metadata management, and security best practices. • Troubleshoot and resolve data-related issues and performance bottlenecks. • Analyze data from Microsoft Dynamics 365 (CRM) to provide insights that support sales, marketing, and customer service operations. • Develop dashboards, reports, and KPIs using Power BI and other Office 365 tools (Excel, Power Query, Power Automate). • Cleanse, validate, and ensure data quality within the CRM system. • Monitor data integrity and work on deduplication, normalization, and enrichment tasks. Develop and maintain documentation related to data models, processes, and definitions. • Perform ad-hoc analysis and deliver data-driven recommendations. • Contribute to data governance and compliance efforts, ensuring data usage adheres to company and regulatory standards. Required Skills & Experience: • Bachelor's degree in Computer Science, Information Systems, Statistics, Mathematics, Economics, or a related quantitative field. • 5+ years of experience as a Data Analyst, Business Intelligence Analyst, or similar role with a strong focus on Microsoft data technologies. • Strong proficiency in SQL for data querying, manipulation, and database management. • Expertise in Microsoft Power BI, including: • Connecting to various data sources. • Data modeling (DAX, relationships). • Creating interactive reports and dashboards. • Publishing and managing reports in Power BI Service. •Design, develop, and maintain data pipelines, ETL processes, and data warehouses using Azure Data Factory, Synapse Analytics, SQL Server, and Databricks. • Proven experience in data cleaning, transformation, and validation. • Excellent analytical and problem-solving skills with a keen attention to detail. • Strong communication and presentation skills, with the ability to explain complex data insights to non-technical audiences. Preferred Qualifications: • Microsoft Certified: Azure Data Engineer Associate, Data Analyst Associate, or similar certifications. • Experience with cloud data architecture, big data, or real-time data processing. • Knowledge of DevOps practices for data projects (CI/CD pipelines for data deployments). • Familiarity with tools like Git, Azure DevOps, or other version control systems.

JD: Data Scientist Responsibilities: Leverage strong ML model experience in complex data environments to achieve business objectives in innovative and efficient ways. Utilize a solid background in mathematics and statistics to inform model development and evaluation. Design, architect, and develop robust machine learning solutions, with a focus on integrating Large Language Models (LLMs) where applicable. Collaborate effectively within Agile Scrum teams, contributing to iterative development and continuous improvement. Document business processes, workflows, and requirements clearly and comprehensively. Engage in close collaboration with various domains within the organization to ensure alignment and understanding of business needs. Participate in collaborative conceptualization sessions to brainstorm and refine project ideas. Mandatory Skills: Proficiency in Python, Machine Learning, REST API, and SQL. Experience with data processing, cleansing, and verification to ensure data integrity for analysis. Conduct data quality checks and exploratory analyses to inform model development. Demonstrated programming skills in relevant languages, particularly Python and API development. Build end-to-end machine learning models, including data structures and transformation processes. Strong understanding of statistical modeling techniques (e.g., Regression, Clustering, Decision Trees, Logistic Regression). Familiarity with machine learning algorithms (e.g., KNN, Random Forests, Ensemble Methods, Bayesian/Markov Networks). Knowledge of data mining concepts and experience with data visualization tools and dashboards. Preferred Skills: Experience with Large Language Models (LLMs) such as GPT, BERT, or similar architectures. Understanding of natural language processing (NLP) techniques and their applications in business contexts. Familiarity with advanced research topics, including deep learning, kernel methods, spectral methods, and forecasting. Ability to integrate end-to-end ML solutions into product suites and business functions, with a focus on LLM applications. Design technical frameworks based on various use cases, particularly those involving text data and language understanding. Identify opportunities to automate analytical processes, data extraction, and flow processes, especially in the context of LLMs. Propose hypotheses and design experiments to address specific problems, leveraging LLM capabilities where relevant. Additional Responsibilities: Stay updated with the latest advancements in machine learning and natural language processing, particularly in the context of LLMs. Mentor junior team members on best practices in machine learning and LLM implementation. Contribute to the development of best practices and standards for machine learning and LLM projects within the organization. Why Join Us We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Business Insight At Société Générale, we are convinced that people are drivers of change, and that the world of tomorrow will be shaped by all their initiatives, from the smallest to the most ambitious. Whether you’re joining us for a period of months, years or your entire career, together we can have a positive impact on the future. Creating, daring, innovating, and taking action are part of our DNA. If you too want to be directly involved, grow in a stimulating and caring environment, feel useful on a daily basis and develop or strengthen your expertise, you will feel right at home with us! Still hesitating? You should know that our employees can dedicate several days per year to solidarity actions during their working hours, including sponsoring people struggling with their orientation or professional integration, participating in the financial education of young apprentices, and sharing their skills with charities. There are many ways to get involved. We are committed to support accelerating our Group’s ESG strategy by implementing ESG principles in all our activities and policies. They are translated in our business activity (ESG assessment, reporting, project management or IT activities), our work environment and in our responsible practices for environment protection.

GWC DATA.AI is looking for a passionate and curious Data Scientist to join our Data Science team in Kolkata . This role is ideal for recent graduates or individuals with up to 2 year of experience in data analytics or machine learning. You will work alongside senior data professionals on projects involving data analysis, predictive modeling, and business intelligence. Key Responsibilities: Collect, clean, and analyze large datasets using statistical tools and programming languages Assist in building machine learning models and algorithms to support business solutions Create data visualizations and reports to communicate insights clearly Work closely with senior data scientists, analysts, and engineering teams Document data science workflows, methodologies, and outcomes Stay updated on the latest trends and technologies in data science Required Skills & Qualifications: Machine Learning, Deep Learning, NLP, Computer Vision, GenAI. 2+ Years of Experience Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field Basic knowledge of Python or R for data analysis Familiarity with SQL and data querying Understanding of statistics, data wrangling, and exploratory data analysis (EDA) Good problem-solving and communication skills Willingness to learn and grow in a fast-paced environment Job Types: Full-time, Permanent Pay: ₹344,590.33 - ₹1,750,111.38 per year Schedule: Day shift Monday to Friday Experience: Data science: 2 years (Preferred) Machine learning: 2 years (Preferred) Deep learning: 2 years (Preferred) Python: 2 years (Preferred) Gen AI: 1 year (Preferred) Natural language processing: 1 year (Preferred)

As a Data Analyst at Virtusa, you will be responsible for developing customized solutions within the Data Analyst platform to support critical business functions and meet project requirements. You will manage daily support and maintenance of the internal Data Analyst instance while also conducting long-term improvement operations. Your role will involve effective communication with project managers, clients, and other developers to design cohesive project strategies. It is essential to maintain a flexible and proactive work environment that facilitates a quick response to changing project requirements. Virtusa values teamwork, quality of life, and professional and personal development. As part of a global team of 27,000 professionals, you will have the opportunity to work on exciting projects and collaborate with state-of-the-art technologies throughout your career with us. We believe in nurturing great minds and providing a dynamic place for new ideas to flourish and excellence to be achieved.,

The role of a member in the New Analytics Team based in Hyderabad involves understanding business processes and data to model requirements for creating analytics solutions. You will be responsible for building predictive models and recommendation engines using cutting-edge machine learning techniques to enhance the efficiency and effectiveness of business processes. Your tasks will include churning and analyzing data to identify actionable insights and patterns for business use. Additionally, you will assist the Function Head in data preparation and modeling tasks as required. Collaboration with both business and IT teams is essential for understanding and collecting data. Your responsibilities will also include collecting, collating, cleaning, processing, and transforming large volumes of primarily tabular data comprising numerical, categorical, and some textual information. Applying data preparation techniques such as data filtering, joining, cleaning, missing value imputation, feature extraction, feature engineering, feature selection, dimensionality reduction, feature scaling, and variable transformation will be a part of your routine tasks. You will be expected to apply basic algorithms like linear regression, logistic regression, ANOVA, KNN, various clustering methods, SVM, Naive Bayes, decision trees, principal components, and association rule mining. Additionally, ensemble modeling algorithms like bagging (Random Forest), boosting (GBM, LGBM, XGBoost, CatBoost), time-series modeling, and other state-of-the-art algorithms will also be utilized as required. Your role will involve employing modeling concepts such as hyperparameter optimization, feature selection, stacking, blending, K-fold cross-validation, bias and variance, and combating overfitting. Building predictive models using state-of-the-art machine learning techniques for regression, classification, clustering, recommendation engines, etc., will be a key part of your responsibilities. Furthermore, you will analyze business data to uncover hidden patterns and insights, identify explanatory causes, and make strategic recommendations based on your findings. To excel in this role, you should hold a BE/B. Tech degree in any stream and possess strong expertise in Python libraries like Pandas and Scikit Learn. Proficiency in coding according to the outlined requirements is essential. Experience with Python editors such as PyCharm and/or Jupyter Notebooks is a must, along with the ability to organize code into modules, functions, and/or objects. Knowledge of using ChatGPT for machine learning will be advantageous, while familiarity with basic SQL for querying and Excel for data analysis is necessary. Understanding basics of statistics, including distributions, hypothesis testing, and sampling techniques, is a prerequisite. Experience with Kaggle and familiarity with R are desirable. Ideal candidates will have a minimum of 4 years of experience solving business problems through data analytics, data science, and modeling, with at least 2 years of full-time experience as a data scientist. They should have worked on at least 3 projects involving ML model building that were utilized in production by businesses or other clients. Your primary responsibilities will include spending 35% of your time on data preparation for modeling, 35% on building ML/AI models for various business requirements, 20% on performing custom analytics to provide actionable insights to the business, and 10% on assisting the Function Head in data preparation and modeling tasks as needed. Candidates without familiarity with deep learning algorithms, image processing and classification, and text modeling using NLP techniques will not be considered for selection. For applying to this position, please email your application to careers@isb.edu.,

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast. Job Summary Responsible for developing and deploying machine learning algorithms. Evaluates accuracy and functionality of machine learning algorithms. Translates application requirements into machine learning problem statements. Analyzes and evaluates solutions both internally generated as well as third party supplied. Develops novel ways to use machine learning to solve problems and discover new products. Has in-depth experience, knowledge and skills in own discipline. Usually determines own work priorities. Acts as resource for colleagues with less experience. Job Description About the Role: We are seeking an experienced Data Scientist to join our growing Operational Intelligence team. You will play a key role in building intelligent systems that help reduce alert noise, detect anomalies, correlate events, and proactively surface operational insights across our large-scale streaming infrastructure. You’ll work at the intersection of machine learning, observability, and IT operations, collaborating closely with Platform Engineers, SREs, Incident Managers, Operators and Developers to integrate smart detection and decision logic directly into our operational workflows. This role offers a unique opportunity to push the boundaries of AI/ML in large-scale operations. We welcome curious minds who want to stay ahead of the curve, bring innovative ideas to life, and improve the reliability of streaming infrastructure that powers millions of users globally. What You’ll Do Design and tune machine learning models for event correlation, anomaly detection, alert scoring, and root cause inference Engineer features to enrich alerts using service relationships, business context, change history, and topological data Apply NLP and ML techniques to classify and structure logs and unstructured alert messages Develop and maintain real-time and batch data pipelines to process alerts, metrics, traces, and logs Use Python, SQL, and time-series query languages (e.g., PromQL) to manipulate and analyze operational data Collaborate with engineering teams to deploy models via API integrations, automate workflows, and ensure production readiness Contribute to the development of self-healing automation, diagnostics, and ML-powered decision triggers Design and validate entropy-based prioritization models to reduce alert fatigue and elevate critical signals Conduct A/B testing, offline validation, and live performance monitoring of ML models Build and share clear dashboards, visualizations, and reporting views to support SREs, engineers and leadership Participate in incident postmortems, providing ML-driven insights and recommendations for platform improvements Collaborate on the design of hybrid ML + rule-based systems to supportnamic correlation and intelligent alert grouping Lead and support innovation efforts including POCs, POVs, and explorationemerging AI/ML tools and strategies Demonstrate a proactive, solution-oriented mindset with the ability to navigate ambiguity and learn quickly Participate in on-call rotations and provide operational support as needed Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics or a related field 5+ years of experience building and deploying ML solutions in production environments 2+ years working with AIOps, observability, or real-time operations data Strong coding skills in Python (including pandas, NumPy, Scikit-learn, PyTorch, or TensorFlow) Experience working with SQL, time-series query languages (e.g., PromQL), and data transformation in pandas or Spark Familiarity with LLMs, prompt engineering fundamentals, or embedding-based retrieval (e.g., sentence-transformers, vector DBs) Strong grasp of modern ML techniques including gradient boosting (XGBoost/LightGBM), autoencoders, clustering (e.g., HDBSCAN), and anomaly detection Experience managing structured + unstructured data, and building features from logs, alerts, metrics, and traces Familiarity with real-time event processing using tools like Kafka, Kinesis, or Flink Strong understanding of model evaluation techniques including precision/recall trade-offs, ROC, AUC, calibration Comfortable working with relational (PostgreSQL), NoSQL (MongoDB), and time-series (InfluxDB, Prometheus) databases Ability to collaborate effectively with SREs, platform teams, and participate in Agile/DevOps workflows Clear written and verbal communication skills to present findings to technical and non-technical stakeholders Comfortable working across Git, Confluence, JIRA, & collaborative agile environments Nice To Have Experience building or contributing to the AIOps platform (e.g., Moogsoft, BigPanda, Datadog, Aisera, Dynatrace, BMC etc.) Experience working in streaming media, OTT platforms, or large-scale consumer services Exposure to Infrastructure as Code (Terraform, Pulumi) and modern cloud-native tooling Working experience with Conviva, Touchstream, Harmonic, New Relic, Prometheus, & event- based alerting tools Hands-on experience with LLMs in operational contexts (e.g., classification of alert text, log summarization, retrieval-augmented generation) Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) and embeddings-based search for observability data Experience using MLflow, SageMaker, or Airflow for ML workflow orchestration Knowledge of LangChain, Haystack, RAG pipelines, or prompt templating libraries Exposure to MLOps practices (e.g., model monitoring, drift detection, explainability tools like SHAP or LIME) Experience with containerized model deployment using Docker or Kubernetes Use of JAX, Hugging Face Transformers, or LLaMA/Claude/Command-R models in experimentation Experience designing APIs in Python or Go to expose models as services Cloud proficiency in AWS/GCP, especially for distributed training, storage, or batch inferencing Contributions to open-source ML or DevOps communities, or participation in AIOps research/benchmarking efforts. Certifications in cloud architecture, ML engineering, or data science specializations, confluence pages, white papers, presentations, test results, technical manuals, formal recommendations and reports. Contributes to the company by creating patents, Application Programming Interfaces (APIs). Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. Education Bachelor's Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Relevant Work Experience 5-7 Years

Requirements Bachelor's or Master's degree in Data Science/AI and work experience or PhD in relevant area 5+ Years Experience in Data Science , Machine learning use cases especially in Business areas - Sales, Marketing , Customer Success etc. Hands-on experience operating in Jupyter notebooks or Databricks or Snowflake or AWS Sagemaker ( one of them ) is MUST . Strong experience in writing, analyzing, and troubleshooting SQL. Independent thinkers and doers and not order takers. Experience with operationalizing Data science models in production environments and CI-CD is a plus. Excellent written and verbal communication and interpersonal skills, able to effectively collaborate with technical and business partners Should be able to work in Agile methodology, develop stories, attend stand up

Job Description Data Scientist Gurugram - Hybrid Purpose of the Role To monitor & implement the right statistical methodology in our data processes for universe, sample and extrapolation setup, data deep dives and analysis using advanced statistical tool. The role is responsible for supporting the Panel Quality Lead in ensuring that we follow GfKs globally approved methodology to ensure the statistical quality of the data is maintained and rightly represents the regional market. Key Activities POS Universe estimation by distribution channel in the country of interest. Presentation of the results of the universe study, comparison to previous years’ results and definition of the required changes to extrapolation model based on the study conducted. Calculation of the impact from the proposed changes on the currently conducted panel study. Management and updates of the address database of all shops that constitute the retail universe by distribution channel. Target sample calculation based on the reporting requirements, and defining recruitment targets for the team responsible for recruitment, in order to fulfill target sample quota. Maintenance of the current sample status information by distribution channel in accordance with client reporting requirements. Analysis of the results of applied data corrections/modifications in each period after data processing for the period has been completed. Preparation of a report based on the checks and analysis highlighting the necessary changes to extrapolation matrices and/or standard compensations used in data production. Development and adaptation of data modelling approach for companies not cooperating with GfK. Ensuring data quality issues are investigated and appropriate actions on extrapolation and representation of sample is taken. Hands on experience in handling market data QC queries and issues for challenging markets and product groups in order to be able to resolve quality issues as part of client operations. Able to work with big data sets, running new tools and statistical programs to run data deep dive and analysis. Functional responsibilities: Own target setting and assessment in People@GfK Internal project management Analysis of current market situation and preparation of proposals for future panel development in countries/channels under responsibility. Up to date knowledge and compliance with Standardized Global Processes (SGP); knowledge and understanding of internal data processing software (Startrack), including new developments and bug fixes (via Release Notes), and its efficient use in day-to-day tasks. Skills required Advanced knowledge in MS Office, MS Excel, MS Access Advanced knowledge in Statistics, Sampling methodology, Data Analysis, Project Management Excellent language skills in English Preferred knowledge of Statistical Software like Python, Knime & R Database Management & Project Management Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion

Job Description: We are seeking a highly motivated and enthusiastic Senior Data Scientist with over 4 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. Key Responsibilities: Develop and implement machine learning models and algorithms. 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. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications: Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Strong understanding of machine learning , deep learning and Generative AI concepts. Preferred Skills: Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack, NLP using python Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex). Experience with cloud infrastructure for AI/Generative AI/ML on AWS, Azure. Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data – including indexing, search, and advance retrieval patterns. Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Good to have Skills Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios.

Experience: more than 8 years Location: Gurgaon, Hyderabad As a data scientist, you will be responsible for analyzing and interpreting complex data sets to identify patterns and insights. You will be developing data models and algorithms to support the project's needs. Implement data validation strategies to ensure high data quality. Collaborate with AI/ML engineers to integrate data models into the conversion engine system. Present findings and recommendations to stakeholders and management. What you will do: • Develop AI-Driven Data Conversion Application: Utilize AI technologies to develop a comprehensive data conversion application. • Data Mapping: Implement AI algorithms for accurate data mapping from source to target. • Code Generation: Automate code generation using AI models. • Data Validation: Apply AI-driven validation techniques to ensure data integrity and quality. • Code Conversion: Facilitate seamless code conversion using AI algorithms. • Collaboration: Work with data engineers, software developers, AI solution engineers, and business analysts to integrate the data conversion application. • Proficiency in Programming Languages such as Python, SQL, and other relevant languages. • Experience with AI/ML Frameworks like TensorFlow, PyTorch, or similar. • Knowledge of Data Mapping Techniques: Experience with AI-driven tools and methodologies for data mapping.• Strong Code Generation Skills: Experience in developing AI models for automating code generation. • Experience with Data Validation: Implementing AI-based validation techniques. • Familiarity with Code Conversion: Understanding AI algorithms for code conversion. • Experience with Databases like SQL Server and MongoDB. • Collaboration Skills: Ability to work effectively with cross-functional teams.

Job Description Data Scientist Gurugram - Hybrid Purpose of the Role To monitor & implement the right statistical methodology in our data processes for universe, sample and extrapolation setup, data deep dives and analysis using advanced statistical tool. The role is responsible for supporting the Panel Quality Lead in ensuring that we follow GfKs globally approved methodology to ensure the statistical quality of the data is maintained and rightly represents the regional market. Key Activities POS Universe estimation by distribution channel in the country of interest. Presentation of the results of the universe study, comparison to previous years’ results and definition of the required changes to extrapolation model based on the study conducted. Calculation of the impact from the proposed changes on the currently conducted panel study Management and updates of the address database of all shops that constitute the retail universe by distribution channel Target sample calculation based on the reporting requirements, and defining recruitment targets for the team responsible for recruitment, in order to fulfill target sample quota Maintenance of the current sample status information by distribution channel in accordance with client reporting requirements Analysis of the results of applied data corrections/modifications in each period after data processing for the period has been completed. Preparation of a report based on the checks and analysis highlighting the necessary changes to extrapolation matrices and/or standard compensations used in data production Development and adaptation of data modelling approach for companies not cooperating with GfK Ensuring data quality issues are investigated and appropriate actions on extrapolation and representation of sample is taken Hands on experience in handling market data QC queries and issues for challenging markets and product groups in order to be able to resolve quality issues as part of client operations Able to work with big data sets, running new tools and statistical programs to run data deep dive and analysis Functional responsibilities: Own target setting and assessment in People@GfK Internal project management Analysis of current market situation and preparation of proposals for future panel development in countries/channels under responsibility Up to date knowledge and compliance with Standardized Global Processes (SGP); knowledge and understanding of internal data processing software (Startrack), including new developments and bug fixes (via Release Notes), and its efficient use in day-to-day tasks Skills Required Advanced knowledge in MS Office, MS Excel, MS Access Advanced knowledge in Statistics, Sampling methodology, Data Analysis, Project Management Excellent language skills in English Preferred knowledge of Statistical Software like Python, Knime & R Database Management & Project Management Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion

Are you ready to join a world leader in the exciting and dynamic fields of the Pharmaceutical and Medical Device industries? PQE Group has been at the forefront of these industries since 1998, with 40 subsidiaries and more than 2000 employees in Europe, Asia, and the Americas. Due to our constant growth, we are currently looking for a Data Scientist to support our projects in Hyderabad, India or Chandigarh, India . What you’ll do: · Design, train, and deploy Machine Learning and NLP models (NER, classification, embeddings) using Large Language Models (LLMs) and BERT-like architectures. · Implement Retrieval-Augmented Generation (RAG) pipelines and LLM-based AI agents for real-time use cases. · Build interactive dashboards with Streamlit and lightweight web interfaces (HTML/CSS/JavaScript, Laravel or similar frameworks) to visualise insights and create rapid prototypes. · Define, manage, and optimise relational databases (e.g. MySQL, PostgreSQL) and vector databases (e.g. Pinecone, Weaviate, FAISS) for efficient embedding retrieval. · Collaborate with Product and DevOps teams on integration and deployment. · Document code, service prototypes, and architectural decisions clearly and for future reuse. Must-have requirements: · 3+ years of professional experience in Data Science, Machine Learning, or AI development. · Strong command of Python and key libraries (pandas, scikit-learn, PyTorch/TensorFlow, LangChain or similar). · Hands-on knowledge of LLMs (fine-tuning, prompt engineering, evaluation). · Experience with RAG systems and/or AI agents (e.g. ReAct, Auto-GPT, CrewAI). · Experience managing relational databases and designing vector databases . · Deep understanding of NLP and NER models (BERT, RoBERTa, spaCy, Hugging Face Transformers). · Experience with workflow orchestrators ( Airflow, Prefect ) or MLOps infrastructures. · Familiarity with containerisation (Docker) and CI/CD pipelines . · Solid statistical foundation and background in probabilistic models . · Proficiency with Streamlit for rapid prototyping of data-driven apps. · Front-end development skills (HTML/CSS/JavaScript; familiarity with React/Vite or similar is appreciated). · Comfortable with Git version control and working in Agile teams. · Fluent written and spoken English . Next Steps Upon receiving your application, if a match is found, the Recruiting department will contact you for an initial Talent Acquisition interview. If there's a positive match, a technical interview with the Hiring Manager will be arranged. In the case of a positive feedback coming from the Hiring Manager interview, the recruiter will contact you for the next steps or to discuss our proposal. Alternatively, if the feedback is negative, we will contact you to halt the recruitment process. Working at PQE Group As a member of the PQE team, you will be part of a challenging, multicultural company that values collaboration and innovation. PQE Group gives you the opportunity to work on international projects, improve your skills and interact with colleagues from all corners of the world. If you are looking for a rewarding and exciting career, PQE Group is the perfect place for you. Apply now and take the first step towards an amazing future with us.

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast. Job Summary Responsible for developing and deploying machine learning algorithms. Evaluates accuracy and functionality of machine learning algorithms. Translates application requirements into machine learning problem statements. Analyzes and evaluates solutions both internally generated as well as third party supplied. Develops novel ways to use machine learning to solve problems and discover new products. Has in-depth experience, knowledge and skills in own discipline. Usually determines own work priorities. Acts as resource for colleagues with less experience. Job Description About the Role: We are seeking an experienced Data Scientist to join our growing Operational Intelligence team. You will play a key role in building intelligent systems that help reduce alert noise, detect anomalies, correlate events, and proactively surface operational insights across our large-scale streaming infrastructure. You’ll work at the intersection of machine learning, observability, and IT operations, collaborating closely with Platform Engineers, SREs, Incident Managers, Operators and Developers to integrate smart detection and decision logic directly into our operational workflows. This role offers a unique opportunity to push the boundaries of AI/ML in large-scale operations. We welcome curious minds who want to stay ahead of the curve, bring innovative ideas to life, and improve the reliability of streaming infrastructure that powers millions of users globally. What You’ll Do: Design and tune machine learning models for event correlation, anomaly detection, alert scoring, and root cause inference Engineer features to enrich alerts using service relationships, business context, change history, and topological data Apply NLP and ML techniques to classify and structure logs and unstructured alert messages Develop and maintain real-time and batch data pipelines to process alerts, metrics, traces, and logs Use Python, SQL, and time-series query languages (e.g., PromQL) to manipulate and analyze operational data Collaborate with engineering teams to deploy models via API integrations, automate workflows, and ensure production readiness Contribute to the development of self-healing automation, diagnostics, and ML-powered decision triggers Design and validate entropy-based prioritization models to reduce alert fatigue and elevate critical signals Conduct A/B testing, offline validation, and live performance monitoring of ML models Build and share clear dashboards, visualizations, and reporting views to support SREs, engineers and leadership Participate in incident postmortems, providing ML-driven insights and recommendations for platform improvements Collaborate on the design of hybrid ML + rule-based systems to supportnamic correlation and intelligent alert grouping Lead and support innovation efforts including POCs, POVs, and explorationemerging AI/ML tools and strategies Demonstrate a proactive, solution-oriented mindset with the ability to navigate ambiguity and learn quickly Participate in on-call rotations and provide operational support as needed Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics or a related field 5+ years of experience building and deploying ML solutions in production environments 2+ years working with AIOps, observability, or real-time operations data Strong coding skills in Python (including pandas, NumPy, Scikit-learn, PyTorch, or TensorFlow) Experience working with SQL, time-series query languages (e.g., PromQL), and data transformation in pandas or Spark Familiarity with LLMs, prompt engineering fundamentals, or embedding-based retrieval (e.g., sentence-transformers, vector DBs) Strong grasp of modern ML techniques including gradient boosting (XGBoost/LightGBM), autoencoders, clustering (e.g., HDBSCAN), and anomaly detection Experience managing structured + unstructured data, and building features from logs, alerts, metrics, and traces Familiarity with real-time event processing using tools like Kafka, Kinesis, or Flink Strong understanding of model evaluation techniques including precision/recall trade-offs, ROC, AUC, calibration Comfortable working with relational (PostgreSQL), NoSQL (MongoDB), and time-series (InfluxDB, Prometheus) databases Ability to collaborate effectively with SREs, platform teams, and participate in Agile/DevOps workflows Clear written and verbal communication skills to present findings to technical and non-technical stakeholders Comfortable working across Git, Confluence, JIRA, & collaborative agile environments Nice to Have: Experience building or contributing to the AIOps platform (e.g., Moogsoft, BigPanda, Datadog, Aisera, Dynatrace, BMC etc.) Experience working in streaming media, OTT platforms, or large-scale consumer services Exposure to Infrastructure as Code (Terraform, Pulumi) and modern cloud-native tooling Working experience with Conviva, Touchstream, Harmonic, New Relic, Prometheus, & event- based alerting tools Hands-on experience with LLMs in operational contexts (e.g., classification of alert text, log summarization, retrieval-augmented generation) Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) and embeddings-based search for observability data Experience using MLflow, SageMaker, or Airflow for ML workflow orchestration Knowledge of LangChain, Haystack, RAG pipelines, or prompt templating libraries Exposure to MLOps practices (e.g., model monitoring, drift detection, explainability tools like SHAP or LIME) Experience with containerized model deployment using Docker or Kubernetes Use of JAX, Hugging Face Transformers, or LLaMA/Claude/Command-R models in experimentation Experience designing APIs in Python or Go to expose models as services Cloud proficiency in AWS/GCP, especially for distributed training, storage, or batch inferencing Contributions to open-source ML or DevOps communities, or participation in AIOps research/benchmarking efforts. Certifications in cloud architecture, ML engineering, or data science specializations, confluence pages, white papers, presentations, test results, technical manuals, formal recommendations and reports. Contributes to the company by creating patents, Application Programming Interfaces (APIs). Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. Education Bachelor's Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Relevant Work Experience 5-7 Years

Exciting Opportunity at Eloelo: Join the Future of Live Streaming and Social Gaming! Are you ready to be a part of the dynamic world of live streaming and social gaming? Look no further! Eloelo, an innovative Indian platform founded in February 2020 by ex-Flipkart executives Akshay Dubey and Saurabh Pandey, is on the lookout for passionate individuals to join our growing team in Bangalore. About Us: Eloelo stands at the forefront of multi-host video and audio rooms, offering a unique blend of interactive experiences, including chat rooms, PK challenges, audio rooms, and captivating live games like Lucky 7, Tambola, Tol Mol Ke Bol, and Chidiya Udd. Our platform has successfully attracted audiences from all corners of India, providing a space for social connections and immersive gaming. Recent Milestone: In pursuit of excellence, Eloelo has secured a significant milestone by raising $22Mn in the month of October 2023 from a diverse group of investors, including Lumikai, Waterbridge Capital, Courtside Ventures, Griffin Gaming Partners, and other esteemed new and existing contributors. Why Eloelo? Be a part of a team that thrives on creativity and innovation in the live streaming and social gaming space. Rub shoulders with the stars! Eloelo regularly hosts celebrities such as Akash Chopra, Kartik Aryan, Rahul Dua, Urfi Javed, and Kiku Sharda from the Kapil Sharma Show and that's our level of celebrity collaboration. Working with a world class team ,high performance team that constantly pushes boundaries and limits , redefines what is possible Fun and work at the same place with amazing work culture , flexible timings , and vibrant atmosphere We are looking to hire a business analyst to join our growth analytics team. This role sits at the intersection of business strategy, marketing performance, creative experimentation, and customer lifecycle management, with a growing focus on AI-led insights. You’ll drive actionable insights to guide our performance marketing, creative strategy, and lifecycle interventions, while also building scalable analytics foundations for a fast-moving growth team. About the Role: We are looking for a highly skilled and creative Data Scientist to join our growing team and help drive data-informed decisions across our entertainment platforms. You will leverage advanced analytics, machine learning, and predictive modeling to unlock insights about our audience, content performance, and product engagement—ultimately shaping the way millions of people experience entertainment. Key Responsibilities: Develop and deploy machine learning models to solve key business problems (e.g., personalization, recommendation systems, churn prediction). Analyze large, complex datasets to uncover trends in content consumption, viewer preferences, and engagement behaviors. Partner with product, marketing, engineering, and content teams to translate data insights into actionable strategies. Design and execute A/B and multivariate experiments to evaluate the impact of new features and campaigns. Build dashboards and visualizations to monitor key metrics and provide stakeholders with self-service analytics tools. Collaborate on the development of audience segmentation, lifetime value modeling, and predictive analytics. Stay current with emerging technologies and industry trends in data science and entertainment. Qualifications: Master’s or PhD in Computer Science, Statistics, Mathematics, Data Science, or related field. 1+ years of experience as a Data Scientist, ideally within media, streaming, gaming, or entertainment tech. Proficiency in programming languages such as Python or R. Strong SQL skills and experience working with large-scale datasets and data warehousing tools (e.g., Snowflake, BigQuery, Redshift). Experience with machine learning libraries/frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Solid understanding of experimental design and statistical analysis techniques. Ability to clearly communicate complex technical findings to non-technical stakeholders. Preferred Qualifications: Experience building recommendation engines, content-ranking algorithms, or personalization models in an entertainment context. Familiarity with user analytics tools such as Mixpanel, Amplitude, or Google Analytics. Prior experience with data pipeline and workflow tools (e.g., Airflow, dbt). Background in natural language processing (NLP), computer vision, or audio analysis is a plus. Why Join Us: Shape the future of how audiences engage with entertainment through data-driven storytelling. Work with cutting-edge technology on high-impact, high-visibility projects. Join a collaborative team in a dynamic and fast-paced environment where creativity meets data science.

Job Title: Data Scientist Experience Required: 7+ Years Work Location: Bangalore Mode of Hire: Contract (Onsite) Joining Timeline: Immediate Joiner Job Summary: As a Data Scientist, you will leverage your analytical, statistical, and machine learning expertise to extract meaningful insights from diverse datasets and guide data-informed decision-making. You will build and deploy predictive models, collaborate with cross-functional teams, and translate complex findings into business value. Your work will empower the organization to solve strategic challenges and create impactful data-driven solutions. Key Responsibilities Develop and implement AI/ML/LLM‑based applications using Python , scripting and production pipelines. Design and deploy Retrieval‑Augmented Generation (RAG) workflows leveraging LLaMA (and other open models) via frameworks such as LangChain , LlamaIndex , PEFT , LoRA , QLoRA . Integrate, deploy, and optimize vector databases —e.g., pgvector (Postgres) , ChromaDB , Pinecone , Milvus , etc.—for semantic search and embedding workflows Leverage Databricks environment (Delta Lake, MLflow, Apache Spark) for scalable data processing and ML model development and deployment Convert natural language queries into structured queries (e.g. SQL) for relational databases (Postgres) using LLM‑based text2SQL or prompt‑to‑SQL mechanisms Build backend APIs (Flask, FastAPI) to expose AI capabilities and integrate with product teams. Drive full ML/Ops pipeline lifecycle: version control, CI/CD, monitoring, evaluation, retraining. Collaborate closely with product managers, engineers, and designers to rapidly ship new AI applications under tight deadlines. Support customer or stakeholder-facing demoing or POCs—communicate technical concepts clearly to non-technical audiences. Requirements Technical Expertise (6–8+ years experience, or equivalent impact in startups) Python (pandas, numpy, fluency with scripting, package management, virtual environments). Databricks (Apache Spark, MLflow, Delta Lake) usage in production-grade ML or GenAI workflows. Hands-on working experience with LLaMA / open‑source LLMs , fine-tuning, instruction tuning, prompt engineering, model serving. Deep familiarity with vector DBs (e.g., pgvector on Postgres, Milvus, Chroma, Pinecone), embedding generation, similarity search, indexing strategies Experience building RAG architectures , agents, retrieval pipelines using LangChain, LlamaIndex, Hugging Face transformers. Proficient with ML/DL frameworks: PyTorch , TensorFlow , Transformers , scikit-learn. Designing and deploying scalable applications using PostgreSQL , and seamlessly combining relational and vector database capabilities. Familiarity with cloud environments (AWS/GCP/Azure), containerization (Docker), orchestration (Kubernetes) and CI/CD pipelines. Strong understanding of MLOps/LLMOps frameworks and cost-optimized deployment patterns. Good to Have : Experience with Quantization techniques (LoRA, QLoRA, GPTQ), PEFT, model compression strategies. Familiarity with Knowledge Graphs or integration with graph DBs (Neo4j, LlamaIndex). Prior experience in building multi‑agent systems , orchestration frameworks like Autogen, LangGraph. Exposure to shoulder use cases : AWS Lambda, Redis Stack, Elasticsearch with vector search. Job Type: Contractual / Temporary Contract length: 6 months Pay: ₹140,000.00 - ₹160,000.00 per month Application Question(s): Do you have experience in Python ? Do you have experience in Databricks ? Do you have experience in working with LLAMA models ? Work Location: In person

Hiring for One of Our Client Full Time Opportunity Work from Office Location : Hyderabad Notice : Immediate or 15 days Job Description Summary: Develop AI-driven data conversion and validation solutions Strong expertise in Python, SQL, AI/ML (TensorFlow, PyTorch), and data modeling Hands-on with databases (SQL Server, MongoDB), and data mapping/conversion Work closely with cross-functional teams including AI engineers and business analysts Preferred: Financial services background, experience with Azure AI services, DevOps tools Mandatory Skills – Data Scientist (8+ Yrs, Hyderabad) Programming Languages Python (Strong expertise) SQL 2.AI/ML Frameworks TensorFlow or PyTorch 3.Data Mapping & Code Generation Experience with AI-driven data mapping Automated code generation using AI models 4.Data Validation & Code Conversion AI-based validation techniques Understanding of AI algorithms for code conversion 5.Databases SQL Server MongoDB 6.Core Data Science Skills Strong problem-solving and analytical abilities Experience with model development and data pipelines Ability to analyze complex datasets and deliver insights 7.Collaboration Ability to work with cross-functional teams including AI engineers, developers, analysts 8.Experience Requirement Minimum 5+ years relevant experience (with 8+ years total experience preferred) Interested candidates kindly forward your resume to swetha.s@thompsonshr.com