Data Scientist Jobs

Location: Bengaluru, Karnataka Internship Type: Full-time, On-site Duration: 6 months (Full-time conversion based on performance) About the Company Sustainability Economics.ai is a global organization pioneering the convergence of clean energy and AI, enabling profitable energy transitions while powering end-to-end AI infrastructure. By integrating AI-driven cloud solutions with sustainable energy, we create scalable, intelligent ecosystems that drive efficiency, innovation, and long-term impact across industries. Guided by exceptional leaders with deep expertise across finance, policy, and technology, we are committed to building impactful, future-ready solutions. Role Summary We are looking for a curious and motivated Machine Learning Intern to join our team and learn alongside experienced engineers and data scientists. This is a learning-focused role designed for someone with a strong foundation in programming, mathematics, and an interest in machine learning. You will work on real-world problems at the intersection of AI and clean energy, gaining hands-on exposure to data, models, and production-grade systems. No prior production ML experience is required — what matters is your eagerness to learn, ability to think clearly, and willingness to take ownership of the problems you work on. Key Responsibilities • Support the team in day-to-day data and machine learning tasks. • Help with data collection, cleaning, preprocessing, and exploratory analysis. • Assist in running experiments and evaluating different modelling approaches under guidance. • Work with senior engineers to understand how ML systems are built, tested, and deployed. • Document your work, experiments, and findings clearly for the team. • Contribute to internal tooling, scripts, and reproducible workflows. • Share insights from data and present results in team discussions. • Continuously learn — through reading, experimenting, and collaborating with the team. Education & Experience • Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Engineering, Applied Mathematics, Statistics, Data Science, or a related quantitative field. • 0–1 year of experience (academic projects, coursework, hackathons, or open-source contributions are welcome). • A solid foundation in mathematics and statistics. • Genuine interest in machine learning and applied AI. Skills Required • Comfortable programming in Python and working with libraries like NumPy and Pandas. • Familiarity with basic machine learning concepts (e.g., regression, classification, clustering). • Awareness of how data is structured and analysed (Jupyter Notebooks, basic visualisation). • Familiarity with Git/GitHub for version control. • Strong problem-solving skills and attention to detail. • Good written and verbal communication. • A learning mindset — willingness to ask questions, take feedback, and pick up new tools quickly. What You'll Do • Build and deploy end-to-end ML and forecasting systems. • Develop intelligent data pipelines for predictive and probabilistic analytics. • Work on real-world time series problems in energy, infrastructure, and sustainability domains. • Collaborate with engineering teams to integrate ML models into scalable systems. • Monitor and improve model performance, accuracy, and reliability. • Contribute to building AI-driven decision-making platforms. What You'll Bring • Working knowledge of ML or optimization concepts, with practical exposure through projects or coursework. • Strong mathematical and statistical foundation. • Passion for scalable systems, automation, and applied problem-solving. • Startup DNA → bias to action, comfort with ambiguity, love for fast iteration, and flexible and growth mindset. Why Join Us • Shape a first-of-its-kind AI + clean energy platform. • Work with a small, mission-driven team obsessed with impact. • An aggressive growth path. • A chance to leave your mark at the intersection of AI and sustainability.

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business. Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere. Introduction to the team The Connectivity Analytics team within Expedia Group’s Yield & Analytics organization serves as Business and Product Analytics specialists for our Supply Connectivity teams across Lodging, Air and Car. We turn complex data into clear, actionable insights across commercial and technical KPIs, develop scalable solutions to business challenges, and identify opportunities for growth. If you are excited by solving meaningful business problems, collaborating across teams, and using data and AI-enabled tools to improve how we work and make decisions, this could be the role for you. In this role you will • Own analytics projects from problem framing and scoping through data preparation, analysis, visualization and delivery, working iteratively with stakeholders and manager support to drive measurable improvements • Extract and combine large datasets from multiple sources, creating reliable, reusable datasets, pipelines and well-documented, shareable code using SQL and Python • Apply descriptive statistics, experimentation and appropriate analytical methods including pre/post analysis, causal impact approaches and basic predictive models to answer business questions • Create clear, persuasive visualizations, scalable dashboards and automated reporting for technical and non-technical audiences using tools such as Tableau and Looker • Use AI and LLM-enabled tools as a core part of your workflow, for example, to accelerate coding, automate reporting, summarize insights, improve documentation and reduce manual effort while applying appropriate quality checks and judgment • Partner transparently with stakeholders and analytics peers, communicate methodology and caveats clearly, and translate findings into concise recommendations and practical next steps Experience and qualifications • Bachelor's or Master's degree in Mathematics, Science, Statistics or a related technical field, with 1–2+ years of relevant experience; or 2+ years of professional experience in a comparable data analytics role • Intermediate proficiency in SQL and Python, R or a similar language, including experience structuring, transforming and analyzing large datasets • Experience combining data from multiple sources and writing efficient, reusable code that can be translated into repeatable data pipelines or shared with peers • Working knowledge of probability, descriptive statistics, regression and experimental design, with the ability to distinguish statistically significant results from exploratory findings • Experience selecting practical analytical approaches for business questions, with familiarity with common models such as linear or logistic regression and clustering • Experience building clear dashboards and visualizations, ideally in Tableau, and automating recurring measurement or reporting to enable stakeholder self-service • Knowledge of data quality checks, reproducibility, documentation, and query cost and performance optimization best practices • Hands-on experience using AI capabilities to streamline analytical workflows, reduce manual effort and improve productivity, with an interest in continuously learning and applying new AI-enabled approaches • Strong analytical problem-solving, communication and storytelling skills, with a proactive, collaborative approach and the ability to make complex concepts accessible to different audiences Accommodation requests Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation. About Expedia Group Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease. Important notice Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/. Equal Opportunity Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer. DESCRIPTION: Join us at Thermo Fisher Scientific and contribute to global scientific discovery. As an Engineer I, Software, you'll develop solutions that help our customers make the world healthier, cleaner, and safer. You'll contribute to the design, development, and maintenance of sophisticated software applications spanning laboratory instruments, cloud platforms, and enterprise systems. You'll collaborate with cross-functional teams including scientists, engineers, and business stakeholders to deliver high-quality software that advances scientific research and laboratory efficiency. REQUIREMENTS: • Bachelor's degree required, no prior experience required in software development • Preferred Fields of Study: Computer Science, Software Engineering, or related technical field • Strong programming skills in core languages like Java, Python, C#, or JavaScript • Experience with web technologies including HTML5, CSS, and modern JavaScript frameworks • Knowledge of object-oriented design principles, design patterns, and data structures • Familiarity with microservices architecture and RESTful APIs • Experience with version control systems (e.g., Git) and CI/CD pipelines • Understanding of agile software development methodologies • Knowledge of cloud platforms (AWS, Azure) and containerization (Docker, Kubernetes) • Strong analytical and problem-solving abilities • Excellent written and verbal communication skills • Experience with automated testing and test-driven development • Ability to work effectively in a collaborative team environment • Demonstrated commitment to continuous learning and innovation • Ability to document technical specifications and processes clearly and effectively

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business. Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere. Introduction to the team The Connectivity Analytics team within Expedia Group’s Yield & Analytics organization serves as Business and Product Analytics specialists for our Supply Connectivity teams across Lodging, Air and Car. We turn complex data into clear, actionable insights across commercial and technical KPIs, develop scalable solutions to business challenges, and identify opportunities for growth. If you are excited by solving meaningful business problems, collaborating across teams, and using data and AI-enabled tools to improve how we work and make decisions, this could be the role for you. In this role you will • Own analytics projects from problem framing and scoping through data preparation, analysis, visualization and delivery, working iteratively with stakeholders and manager support to drive measurable improvements • Extract and combine large datasets from multiple sources, creating reliable, reusable datasets, pipelines and well-documented, shareable code using SQL and Python • Apply descriptive statistics, experimentation and appropriate analytical methods including pre/post analysis, causal impact approaches and basic predictive models to answer business questions • Create clear, persuasive visualizations, scalable dashboards and automated reporting for technical and non-technical audiences using tools such as Tableau and Looker • Use AI and LLM-enabled tools as a core part of your workflow, for example, to accelerate coding, automate reporting, summarize insights, improve documentation and reduce manual effort while applying appropriate quality checks and judgment • Partner transparently with stakeholders and analytics peers, communicate methodology and caveats clearly, and translate findings into concise recommendations and practical next steps Experience and qualifications • Bachelor's or Master's degree in Mathematics, Science, Statistics or a related technical field, with 1–2+ years of relevant experience; or 2+ years of professional experience in a comparable data analytics role • Intermediate proficiency in SQL and Python, R or a similar language, including experience structuring, transforming and analyzing large datasets • Experience combining data from multiple sources and writing efficient, reusable code that can be translated into repeatable data pipelines or shared with peers • Working knowledge of probability, descriptive statistics, regression and experimental design, with the ability to distinguish statistically significant results from exploratory findings • Experience selecting practical analytical approaches for business questions, with familiarity with common models such as linear or logistic regression and clustering • Experience building clear dashboards and visualizations, ideally in Tableau, and automating recurring measurement or reporting to enable stakeholder self-service • Knowledge of data quality checks, reproducibility, documentation, and query cost and performance optimization best practices • Hands-on experience using AI capabilities to streamline analytical workflows, reduce manual effort and improve productivity, with an interest in continuously learning and applying new AI-enabled approaches • Strong analytical problem-solving, communication and storytelling skills, with a proactive, collaborative approach and the ability to make complex concepts accessible to different audiences Accommodation requests Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation. About Expedia Group Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease. Important notice Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/. Equal Opportunity Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer. DESCRIPTION: Join us at Thermo Fisher Scientific and contribute to global scientific discovery. As an Engineer I, Software, you'll develop solutions that help our customers make the world healthier, cleaner, and safer. You'll contribute to the design, development, and maintenance of sophisticated software applications spanning laboratory instruments, cloud platforms, and enterprise systems. You'll collaborate with cross-functional teams including scientists, engineers, and business stakeholders to deliver high-quality software that advances scientific research and laboratory efficiency. REQUIREMENTS: • Bachelor's degree required, no prior experience required in software development • Preferred Fields of Study: Computer Science, Software Engineering, or related technical field • Strong programming skills in core languages like Java, Python, C#, or JavaScript • Experience with web technologies including HTML5, CSS, and modern JavaScript frameworks • Knowledge of object-oriented design principles, design patterns, and data structures • Familiarity with microservices architecture and RESTful APIs • Experience with version control systems (e.g., Git) and CI/CD pipelines • Understanding of agile software development methodologies • Knowledge of cloud platforms (AWS, Azure) and containerization (Docker, Kubernetes) • Strong analytical and problem-solving abilities • Excellent written and verbal communication skills • Experience with automated testing and test-driven development • Ability to work effectively in a collaborative team environment • Demonstrated commitment to continuous learning and innovation • Ability to document technical specifications and processes clearly and effectively

Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer. DESCRIPTION: Join us at Thermo Fisher Scientific and contribute to global scientific discovery. As an Engineer I, Software, you'll develop solutions that help our customers make the world healthier, cleaner, and safer. You'll contribute to the design, development, and maintenance of sophisticated software applications spanning laboratory instruments, cloud platforms, and enterprise systems. You'll collaborate with cross-functional teams including scientists, engineers, and business stakeholders to deliver high-quality software that advances scientific research and laboratory efficiency. REQUIREMENTS: • Bachelor's degree required, no prior experience required in software development • Preferred Fields of Study: Computer Science, Software Engineering, or related technical field • Strong programming skills in core languages like Java, Python, C#, or JavaScript • Experience with web technologies including HTML5, CSS, and modern JavaScript frameworks • Knowledge of object-oriented design principles, design patterns, and data structures • Familiarity with microservices architecture and RESTful APIs • Experience with version control systems (e.g., Git) and CI/CD pipelines • Understanding of agile software development methodologies • Knowledge of cloud platforms (AWS, Azure) and containerization (Docker, Kubernetes) • Strong analytical and problem-solving abilities • Excellent written and verbal communication skills • Experience with automated testing and test-driven development • Ability to work effectively in a collaborative team environment • Demonstrated commitment to continuous learning and innovation • Ability to document technical specifications and processes clearly and effectively

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. About the team and the role: Welcome to the Product Knowledge organization at eBay, where we sit at the intersection of AI, data science, and seller empowerment. Our team is the core architect behind the structured data, taxonomies, and intelligent tools that power global commerce for millions of users. We operate with a high-agency, startup-like, and high-trust culture that values bold ideas, authenticity, and a healthy work-life balance. As the Data Science Manager for Knowledge Management, you will lead high-visibility analytical initiatives to shape how products are priced, cataloged, and listed. Depending on your team placement, you will develop deep insights and assess models. You will create proof-of-concept (PoC) solutions for critical areas including AI-based Price Mentorship and image-to-text Magical Experiences. These solutions greatly reduce listing times for sellers. Reporting within our Product Knowledge division, you will bridge the gap between advanced models (LLMs/VLMs) and scalable seller workflows. What you will accomplish: • Drive Core Seller Initiatives: Deliver deep analytical insights and create proof-of-concept (PoC) models throughout the product lifecycle to back features like Machine Learning based Price Guidance and AI listing tooling. • Evaluate Sophisticated GenAI Workflows: Design robust benchmarking and evaluation frameworks to measure the accuracy and performance of Large Language Models (LLMs) • Power "Magical" Listing Experiences: Optimize innovative VLM workflows that extract structured catalog attributes directly from seller images, significantly reducing friction and time-to-list. • Shape Taxonomy & Discovery Strategy: Conduct deep data dives using SQL and Python to refine eBay's search algorithms, catalog infrastructure, and global ontologies for a highly intuitive browsing experience. • Collaborate Cross-Functionally: Partner closely with Product, Engineering, and Applied ML teams to translate prototype data insights into scalable, production-grade features that support seller success. • Establish Trustworthy Performance Metrics: Build out scalable validation metrics and test beds to verify model safety, performance, and financial mentorship consistency before marketplace deployment. What you will bring: • Professional Experience: 9+ years of experience in analytics, data science, or machine learning roles with a proven track record of handling high ownership and product ambiguity. • Technical Proficiency: Advanced expertise in SQL and Python for processing data, running statistical experiments, and performing automated data analysis. • Modern AI Familiarity: Hands-on exposure to or conceptual understanding of evaluating generative AI workflows, specifically including LLMs, prompt engineering, or Vision-Language Models (VLMs). • Domain Context: Experience or interest in digital marketplace mechanics, such as seller listing flows, search/recommendation algorithms, pricing intelligence, or catalog ontologies. • Analytical Framework Design: Strong capability in designing custom benchmarking methodologies and evaluation metrics to grade complex machine learning model outputs. • Location & Collaboration: Based out of our Bengaluru, India office, with the excellent communication skills required to seamlessly influence and collaborate with cross-functional global stakeholders. Additional Details eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at [email protected]. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice, Privacy Center, and AI Hiring Guidelines.

Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer. DESCRIPTION: Join us at Thermo Fisher Scientific and contribute to global scientific discovery. As an Engineer I, Software, you'll develop solutions that help our customers make the world healthier, cleaner, and safer. You'll contribute to the design, development, and maintenance of sophisticated software applications spanning laboratory instruments, cloud platforms, and enterprise systems. You'll collaborate with cross-functional teams including scientists, engineers, and business stakeholders to deliver high-quality software that advances scientific research and laboratory efficiency. REQUIREMENTS: • Bachelor's degree required, no prior experience required in software development • Preferred Fields of Study: Computer Science, Software Engineering, or related technical field • Strong programming skills in core languages like Java, Python, C#, or JavaScript • Experience with web technologies including HTML5, CSS, and modern JavaScript frameworks • Knowledge of object-oriented design principles, design patterns, and data structures • Familiarity with microservices architecture and RESTful APIs • Experience with version control systems (e.g., Git) and CI/CD pipelines • Understanding of agile software development methodologies • Knowledge of cloud platforms (AWS, Azure) and containerization (Docker, Kubernetes) • Strong analytical and problem-solving abilities • Excellent written and verbal communication skills • Experience with automated testing and test-driven development • Ability to work effectively in a collaborative team environment • Demonstrated commitment to continuous learning and innovation • Ability to document technical specifications and processes clearly and effectively

About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasn’t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target’s global team and has more than 4,000 team members supporting the company’s global strategy and operations. Pyramid overview A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you’ll be challenged to harness Target’s impressive data breadth to build the algorithms that power solutions our partners in in Marketing, Supply Chain Optimization, Network Security and Personalization rely on Every Scientist on Target’s Data Sciences team can expect modeling and data science, software/product development of highly performant code for Model Performance, and to elevate Target’s culture and apply retail domain knowledge. Position Overview: As Senior Data Scientist, you will join a Data Sciences team responsible for building ML solutions for Roundel. You will play crucial role in designing, implementing, and optimising highly scalable machine learning solutions in production. Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs. Requirements: • 5+ or more years of extensive experience in Machine Learning models. • Experience in developing and optimising the scalable machine learning solutions for various business use cases. • Work in partnership with data scientists, software engineers and product managers to understand the business requirements and translate them to machine learning solutions. • Strong experience in one of the general programming languages (Python or Java). Familiarity with Big Data frameworks Like Hadoop and Spark is essential. Familiarity with Machine learning frameworks like TensorFlow, Pytorch or Keras is preferred. • Excellent communication skills. Ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives • Self-driven and results oriented; able to meet tight timelines Preferred Qualifications: • MS or PhD in a quantitative field • Experience in designing, implementing, and deploying Machine learning models in production environment. Know More About Us here: • Life at Target- https://india.target.com/ • Benefits- https://india.target.com/life-at-target/workplace/benefits • Culture- https://india.target.com/life-at-target/belonging

Sony Hiring Machine Learning Intern JobSony Hiring Machine Learning Intern Job Post Name: Machine Learning Intern Company: Sony Degree: B.E/B.Tech/M.Tech/MCA in Computer Science, AI, Data Science, or related field Salary: 20,000 40,000 per month. Degree: B.E/B.Tech/M.Tech/MCA in Computer Science, AI, Data Science, or related fieldExperience: Fresher/Final year studentCompany OverviewSony is a globally recognized multinational organization known for innovation in electronics, entertainment, gaming, and digital technology solutions. With operations in multiple countries, Sony has built a strong reputation for providing cutting-edge products and immersive digital experiences. The company operates in a variety of business sectors, including consumer electronics, gaming, music, film production, and advanced technology research. Sony strongly believes in innovation, creativity, and continuous learning. The organization invests heavily in artificial intelligence, machine learning, and digital transformation initiatives. Interns at Sony have the opportunity to work with global teams, experienced engineers, and data scientists on real-time projects. The company fosters a collaborative culture where new ideas are welcomed, experimentation is encouraged, and learning is continuous. Working as a Machine Learning Intern at Sony provides exposure to advanced analytics tools, AI research practices, and real-world data challenges. This internship is ideal for students who are passionate about artificial intelligence, data science, and emerging technologies. Job Description: Sony Hiring Machine Learning InternSony is hiring enthusiastic and talented Machine Learning interns to join its AI and Data Science team. The intern will assist in building machine learning models, performing data analysis, and supporting AI-based product development initiatives. This role focuses on solving business problems using a data-driven approach and intelligent systems. As a Machine Learning Intern, you will work closely with data scientists, software engineers, and research teams to develop predictive models and improve algorithm performance. You will participate in data preprocessing, feature engineering, model training, and evaluation processes. The role also involves experimenting with different ML algorithms and optimizing models for better accuracy and performance. Trainees will gain practical experience with real-time datasets, cloud platforms, and modern AI frameworks. This position is suitable for students who have strong analytical skills, programming knowledge, and a keen interest in machine learning and artificial intelligence technologies. Key ResponsibilitiesAssist in collecting, cleaning, and preprocessing large datasetsDevelop and test machine learning modelsPerform Exploratory Data Analysis (EDA)Apply supervised and unsupervised learning algorithmsWork on classification, regression, and clustering tasksOptimize model performance and accuracyDocument experiments and research findingsCollaborate with cross-functional teamsStay updated with the latest ML trends and research papersEligibility / Criteria Education Pursuing or completed B.E/B.Tech/M.Tech/MCA in Computer Science, AI, Data Science or related field Academic Performance Strong academic background with a minimum 60% or equivalent CGPA Programming Skills Knowledge of Python, R or Java ML Knowledge Understanding of machine learning algorithms and statistics Tools & Frameworks Familiarity with TensorFlow, PyTorch, Scikit-learn Database Knowledge Basic understanding of SQL and data handling Analytical Skills Strong problem-solving and logical thinking ability Communication Skills Good verbal and written communication Internship Duration 3 to 6 months availability Competitive Monthly StipendHands-on experience with real-world AI projectsExposure to global technology teamsCertificate of Internship on Successful CompletionLearning and Development ProgramFlexible working arrangements (depending on project)Access to advanced research tools and platformsConsult with experienced AI professionalsCareer development opportunities within Sonydocuments to carry Updated Resume or CVGovernment-issued photo identity proofEducational Certificate and MarksheetInternship Recommendation Letter (if available)passport-size photographsFAQ 1. Is this internship suitable for freshers Yes, this internship is designed for students and fresh graduates with strong ML knowledge. 2. Is coding mandatory for this role Yes, strong programming skills in Python or related languages are required. 3. Does Sony offer full-time opportunities after an internship Yes, high-performing trainees may receive pre-placement offers based on performance. 4. What types of projects will trainees work on Interns may work on AI research, predictive analytics, computer vision, or NLP projects. 5. Is remote work available Remote or hybrid options depend on project requirements and team policies.