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graphic designer intern (ai + visual design) Jobs in Mangaluru

graphic designer intern (ai + visual design)

design intern

Airlearn

<div>
 
 
 Desired Profile:
 
 
 <ul>
 <li>
 A smart and passionate graphic designer with a strong and diverse portfolio showcasing experience across a variety of mediums.
 </li>
 <li>
 Has experience working with design softwares such as Adobe Photoshop, Illustrator and Figma. Also has photo-editing knowledge.
 </li>
 <li>
 You work in an organised and systematic manner to ensure timely execution under pressure and tight deadlines.
 </li>
 <li>
 You are looking for a collaborative learning environment to improve your design sensibilities and existing skills.
 </li>
 </ul>
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Invent and innovate upon academic content and curriculum to make it immersive, interactive and engaging for learners.
 </li>
 <li>
 Work closely with the Design Lead, and key stakeholders to understand the requirements of the brief, develop concepts, iterate quickly to successfully implement work.
 </li>
 <li>
 Help with intake and shape project strategy process and goals.
 </li>
 <li>
 Think systemically and help create a pain free and seamless experience for the user.
 </li>
 <li>
 Demonstrate solutions and iterate quickly on feedback.
 </li>
 </ul>
 
 
 
 
 
 Desired Profile:
 
 
 <ul>
 <li>
 Passion for design and learning new skills and concepts
 </li>
 <li>
 Experience in graphic design
 </li>
 <li>
 Strong visual design portfolio, showcasing work for different mediums.
 </li>
 <li>
 Ability to rapidly conceive, visualise and iterate designs in a shared environment
 </li>
 <li>
 Excellent communication skills
 </li>
 <li>
 Organised and prompt
 </li>
 </ul>
 
 
 
 
 
 Pluses:
 
 
 <ul>
 <li>
 Strong visual design skills
 </li>
 <li>
 Type, colour, layout, hierarchy
 </li>
 <li>
 Iconography and illustration
 </li>
 <li>
 Multi-disciplinary, always learning mindset
 </li>
 <li>
 Experience in working in a collaborative team
 </li>
 </ul>
 
 
</div>

Design Intern

propelld

<div>
 
 
 Graphic Designer Intern
 
 
 
 
 
 
 We&rsquo;re looking for an
 
 IIT student or graduate
 
 with a strong foundation in
 
 visual design
 
 and curiosity for
 
 AI-driven creativity
 
 . This internship is ideal for someone who wants to blend design thinking with cutting-edge creative tools.
 
 
 
 📍 Location:
 
 Onsite / Bangalore
 
 
 
 🕒 Type:
 
 Internship | Immediate Start
 
 
 
 
 
 
 What You&rsquo;ll Work On:
 
 
 <ul>
 <li>
 Designing
 
 ad creatives
 
 for high-performing marketing campaigns
 </li>
 <li>
 Collaborating with marketing and product teams on visual storytelling
 </li>
 <li>
 Experimenting with
 
 AI tools
 
 like ChatGPT + Canva, VEO3, Midjourney, and Runway
 </li>
 <li>
 Maintaining design quality and consistency across all platforms
 </li>
 </ul>
 
 
 Preferred Profile:
 
 
 <ul>
 <li>
 Current student or alumnus of
 
 any IIT campus
 
 </li>
 <li>
 Proficient in
 
 Photoshop, Illustrator, Figma, or Canva
 
 </li>
 <li>
 Strong creative instincts, attention to detail, and visual clarity
 </li>
 <li>
 Eager to explore
 
 AI-assisted design workflows
 
 </li>
 </ul>
 
 
 Why Join:
 
 
 <ul>
 <li>
 Work with a fast-growing tech-driven marketing team
 </li>
 <li>
 Build a real portfolio using
 
 AI + design innovation
 
 </li>
 <li>
 Experience the future of creative production
 </li>
 </ul>
 
 📩
 
 Apply now:
 
 Send your portfolio or sample work to
 
 [your email]
 
 with the subject line
 
 &ldquo;Graphic Designer Intern &ndash; IIT Applicant&rdquo;
 
 
 
 
</div>

Graphic Designer Intern (AI + Visual Design)

RHG Services Pvt Ltd

<div>
 Are you a passionate and creative individual looking to gain hands-on experience in the world of digital marketing? RHG Services Pvt Ltd is seeking a talented digital marketing intern to join our dynamic team. As an intern at RHG Services Pvt Ltd, you will have the opportunity to work on exciting projects and learn from industry experts.
 
 
 
 Selected Intern's Day-to-day Responsibilities Include
 
 
 
 <ul>
 <li>
 Assist in creating engaging content for various digital platforms.
 </li>
 <li>
 Manage and update content on the company website and social media channels.
 </li>
 <li>
 Implement social media marketing strategies to increase brand awareness and drive engagement.
 </li>
 <li>
 Support in the execution of search engine marketing campaigns to improve online visibility.
 </li>
 <li>
 Assist in developing and implementing search engine optimization strategies.
 </li>
 <li>
 Help in creating and managing Facebook and Instagram marketing campaigns.
 </li>
 <li>
 Contribute to email marketing campaigns and analyze their performance.
 
 
 </li>
 </ul>
 If you have a solid understanding of digital marketing tools, content writing, social media marketing, SEM, SEO, Facebook marketing, creative writing, email marketing, and excellent English proficiency, we want to hear from you! Join us at RHG Services Pvt Ltd and kickstart your career in digital marketing. Apply now!
 
 
 About Company: At RHG, we understand that your travel needs are unique. Whether it's a relaxing retreat or an adventurous escape, our team makes sure every detail is perfect. From personalized itineraries and the best accommodations to seamless logistics, we take care of everything, ensuring your trip is stress-free, unforgettable, and tailored to you.
</div>

Digital Marketing Internship in Bangalore

Newton School

<div>
 
 
 About Newton School :&nbsp;
 
 
 Come be part of a rocketship that&rsquo;s creating a massive impact in the world of education!
 
 
 On one side you have over a million college graduates every year with barely 5% employability rates and on the other side, there are thousands of companies struggling to find talent. Newton School aims to bridge this massive gap
 
 through it&rsquo;s personalised learning platform. We are building an online university and solving the deep problem of employability of graduates.
 
 
 We have a strong core team consisting of alumni from IIT's and IIM&rsquo;s, having several years of industry experience in companies like Unacademy, Inmobi among others. On this mission, we are backed by some of the most respected investors around the world, - Nexus Venture Partners, RTP Global, Steadview Capital and a slew of angel investors including CRED&rsquo;s Kunal Shah, Flipkart&rsquo;s Kalyan Krishnamoorthy, Unacademy founders, Udaan&rsquo;s Sujeet Kumar among others.
 
 
 Socials: https://www.linkedin.com/school/newtonschool/ | newtonschool.co
 
 
 
 
 Role Description:
 
 
 As a Data Analyst Intern Intern at Newton School of Technology, you will work in the admissions team, interviewing potential candidates for our programs as well as analysing admissions for better intake quality. This internship is an excellent opportunity for individuals looking to gain hands-on experience in technical assessments and talent evaluation while contributing to shaping the future of tech talent.
 
 
 
 Responsibilities:
 
 
 <li>
 Assist in conducting technical and behavioral interviews for candidates.
 </li>
 <li>
 Evaluate candidates' coding, problem-solving, technical, and mathematical skills based on predefined criteria.
 </li>
 <li>
 Provide structured feedback for candidates to help the admissions team review their candidature for the programs.
 </li>
 <li>
 Working on creating advanced technical content for enrolled learners.
 </li>
 <li>
 Analytics and dashboard for admissions and webinars (part of mid funnel activities in the newton school&rsquo;s growth vertical)
 </li>
 
 
 
 Requirements:
 
 
 <li>
 Knowledge of SQL and Excel
 </li>
 <li>
 Pursuing or Recently completed a degree in Computer Science, Information Technology, or a related technical field.
 </li>
 <li>
 Basic knowledge of Coding, Analytics &amp; Algorithms, Problem-Solving Techniques, and Mathematical Concepts is needed.
 </li>
 <li>
 Strong communication and interpersonal skills.
 </li>
 <li>
 Interest in learning about interview processes and talent evaluation.
 </li>
 <li>
 Proactive attitude, attention to detail, and willingness to adapt to a fast-paced environment.
 </li>
</div>

Academic Intern (Data Science)

Abstrabit Technologies

<div>
 
 Company Description
 
 
 
 Abstrabit Technologies is an innovative AI consulting company committed to delivering cutting-edge solutions. We specialize in building custom AI-powered chatbots, managing intelligent knowledge bases, and integrating advanced AI/ML functionalities into digital products. Our services also include full-stack mobile and web app development enhanced with generative AI capabilities.
 
 
 
 Job Description
 
 
 
 We&rsquo;re looking for a creative and self-driven
 
 Marketing &amp; Content Strategist
 
 
 Intern
 
 who can help us grow our presence online. This role blends content strategy and marketing - perfect for someone who loves wearing multiple hats in a dynamic startup environment.
 
 
 If you&rsquo;re excited about crafting compelling content, engaging with communities, and driving growth for a product from the ground up, we&rsquo;d love to hear from you!
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Plan and create blogs, articles, and website content for the app and its official website.
 </li>
 <li>
 Build and manage the app&rsquo;s presence on platforms like LinkedIn and other relevant social media.
 </li>
 <li>
 Identify and engage with online communities that can benefit from the app and where it can add value.
 </li>
 <li>
 Respond to queries about the app on platforms such as Quora, Google Play Store, or other forums.
 </li>
 <li>
 Collaborate with the team to develop content strategies that align with the app&rsquo;s mission and audience.
 </li>
 <li>
 Contribute to advertising campaigns and assist in driving product visibility and engagement.
 </li>
 <li>
 Track and report on content and marketing efforts for continuous improvement.
 </li>
 <li>
 Actively represent the brand through short-form videos and recorded content for social media and marketing campaigns.
 
 
 </li>
 </ul>
 Qualifications
 
 
 <ul>
 <li>
 Technical knowledge or background in apps, digital products, or technology-driven platforms is preferred.
 </li>
 <li>
 Familiarity with social media platforms (especially LinkedIn) and basic understanding of digital marketing.
 </li>
 <li>
 Extroverted and confident communicator, comfortable appearing on camera and recording videos for the company.
 </li>
 <li>
 Social media savvy, with an understanding of trends, engagement formats, and platform-specific content.
 </li>
 <li>
 Bonus: Experience as a small business owner, content creator, or personal brand builder.
 </li>
 <li>
 Basic understanding of editing and graphic design tools like Canva.
 </li>
 <li>
 Ability to work independently and take ownership of projects.
 </li>
 <li>
 Experience: 0 -1 year (freshers with strong practical skills and confidence are welcome)
 
 
 </li>
 </ul>
 Additional Information
 
 
 <ul>
 <li>
 Stipend: ₹15,000 per month
 </li>
 <li>
 Work Type: Fully Remote
 </li>
 <li>
 Working Days: Monday to Friday
 </li>
 <li>
 Collaborative, learning-focused team environment
 </li>
 </ul>
</div>

Marketing & Content Strategist Intern

Scouto AI

<div>
 Position Summary
 
 
 As a Computational Materials Discovery Scientist, you will work at the intersection of materials science, computational chemistry, condensed matter physics, quantum computing, and AI/ML. You will contribute to first-principles simulations, molecular and mesoscale modeling, materials informatics pipelines, and hybrid quantum&ndash;classical algorithms for accelerated discovery of materials, catalysts, semiconductors, polymers, and functional systems.
 
 
 This role is ideal for candidates who want to solve real scientific and industrial problems using DFT, MD, multiscale modeling, machine learning, and emerging quantum computing techniques, fully integrated with QpiAI&rsquo;s AI and quantum computing platforms.
 
 
 
 Requirements
 
 
 
 Core Technical Skills
 
 
 <ul>
 <li>
 Computational &amp; Quantum Mechanical Methods
 
 
 </li>
 </ul>
 Electronic Structure &amp; Quantum Methods
 
 
 <ul>
 <li>
 Density Functional Theory (DFT)
 </li>
 <li>
 Ab initio Molecular Dynamics (AIMD)
 </li>
 <li>
 Time-dependent DFT (TDDFT) for excited states
 </li>
 <li>
 DFT+U for strongly correlated systems
 </li>
 <li>
 Hybrid functionals
 </li>
 <li>
 Hartree&ndash;Fock and post-HF methods (MP2, CCSD(T))
 
 
 </li>
 </ul>
 Molecular &amp; Statistical Simulations
 
 
 <ul>
 <li>
 Classical Molecular Dynamics (MD)
 </li>
 <li>
 Force-field development and validation
 </li>
 <li>
 Monte Carlo (MC) simulations
 </li>
 <li>
 Kinetic Monte Carlo (kMC) for surface reactions
 </li>
 <li>
 Machine Learning Force Fields ( Fairchem, Universal Forcefield, MACE)
 
 
 </li>
 </ul>
 Multiscale &amp; Mesoscale Modeling
 
 
 <ul>
 <li>
 Hierarchical nano &rarr; micro &rarr; meso &rarr; macro modeling
 </li>
 <li>
 QM&ndash;MM and QM&ndash;continuum coupling
 </li>
 <li>
 Microkinetic modeling and reaction networks
 </li>
 <li>
 Phase-field modeling
 </li>
 <li>
 Free energy methods (umbrella sampling, metadynamics)
 </li>
 <li>
 Materials Simulation &amp; Electronic Structure Modeling
 </li>
 <li>
 Bulk and surface DFT calculations
 </li>
 <li>
 k-point convergence, basis set testing
 </li>
 <li>
 Band structure, DOS, PDOS
 </li>
 <li>
 Phonons and lattice dynamics
 </li>
 <li>
 Elastic constants, thermal &amp; mechanical properties
 </li>
 <li>
 Defect formation energies
 </li>
 <li>
 Phase stability &amp; convex hulls
 </li>
 <li>
 Slab models and adsorption energies
 </li>
 <li>
 Reaction pathways using NEB / CI-NEB
 
 
 </li>
 </ul>
 Benchmarking &amp; Validation
 
 
 <li>
 Cross-code benchmarking across:
 </li>
 <ul>
 <li>
 DFT engines: VASP, Quantum ESPRESSO, CP2K, GPAW, CASTEP, Gaussian, ORCA
 </li>
 <li>
 MD engines: LAMMPS, GROMACS, NAMD
 </li>
 <li>
 ML potential
 </li>
 <li>
 Materials Informatics &amp; AI/ML
 </li>
 <li>
 Build ML models for materials &amp; catalyst property prediction:
 </li>
 <ul>
 <li>
 Fairchem, Universal Forcefield, CGCNN, MEGNet, SchNet, e3nn, NequIP
 </li>
 <li>
 Transformer &amp; foundation models for materials
 </li>
 </ul>
 <li>
 Curate datasets from:
 </li>
 <ul>
 <li>
 Materials Project, OQMD, NOMAD, JARVIS
 </li>
 </ul>
 <li>
 Develop ML surrogates for:
 </li>
 <ul>
 <li>
 Energy &amp; force prediction
 </li>
 <li>
 Bandgap estimation
 </li>
 <li>
 Thermal &amp; mechanical properties
 </li>
 <li>
 Catalyst screening &amp; ranking
 </li>
 </ul>
 <li>
 Integrate ML pipelines with:
 </li>
 <ul>
 <li>
 DFT / MD workflows
 </li>
 <li>
 Quantum simulation pipelines
 </li>
 </ul>
 <li>
 Simulation Workflow Engineering
 </li>
 <li>
 Build reproducible, automated workflows in Python for:
 </li>
 <ul>
 <li>
 High-throughput materials screening
 </li>
 <li>
 DFT&ndash;MD&ndash;CG-Mesoscale simulation pipelines
 </li>
 <li>
 Data extraction &amp; post-processing
 </li>
 </ul>
 <li>
 Develop modular tools for:
 </li>
 <ul>
 <li>
 Structure parsing (CIF, POSCAR, XYZ, PDB)
 </li>
 <li>
 Geometry builders &amp; surface generators
 </li>
 <li>
 Parameters generations
 </li>
 <li>
 Visualization (band structure, DOS, phonons, trajectories)
 </li>
 </ul>
 <li>
 Deploy workflows on:
 </li>
 <ul>
 <li>
 HPC clusters
 </li>
 <li>
 Cloud platforms (AWS, GCP)
 </li>
 <li>
 Containerized environments (Docker)
 </li>
 </ul>
 <li>
 Research, Collaboration &amp; Documentation
 </li>
 <li>
 Conduct literature reviews in:
 </li>
 <ul>
 <li>
 Computational materials
 </li>
 <li>
 Catalysis
 </li>
 <li>
 Semiconductors
 </li>
 <li>
 Alloy and Ceramics
 </li>
 <li>
 Polymers
 </li>
 <li>
 Quantum algorithms
 </li>
 </ul>
 <li>
 Design, execute, and analyze numerical experiments
 </li>
 <li>
 Prepare:
 </li>
 <ul>
 <li>
 Technical reports
 </li>
 <li>
 Internal whitepapers
 </li>
 <li>
 Presentations and datasets
 </li>
 </ul>
 <li>
 Collaborate closely with:
 </li>
 <ul>
 <li>
 Quantum hardware teams
 </li>
 <li>
 Algorithm developers
 </li>
 <li>
 AI/ML engineers
 
 </li>
 </ul>
 </ul>
 Specialization Tracks
 
 
 <ul>
 <li>
 DFT &amp; Electronic Structure Specialization
 </li>
 <li>
 Advanced XC functional selection &amp; benchmarking
 </li>
 <li>
 Strongly correlated systems (DFT+U, Hubbard models)
 </li>
 <li>
 Excited-state calculations (TDDFT, GW &ndash; exposure preferred)
 </li>
 <li>
 Defects, surfaces, and interfaces
 </li>
 <li>
 Electronic transport &amp; conductivity modeling
 </li>
 <li>
 Molecular Dynamics &amp; Classical Simulations
 </li>
 <li>
 Classical MD simulations (LAMMPS, GROMACS)
 </li>
 <li>
 Force-field parameterization &amp; validation
 </li>
 <li>
 Free energy calculations
 </li>
 <li>
 Reactive force fields (ReaxFF)
 </li>
 <li>
 ML-accelerated MD workflows
 </li>
 <li>
 Parameter generation for coarse-grained simulations
 </li>
 <li>
 Catalysis Specialization
 </li>
 <li>
 Heterogeneous, homogeneous &amp; electro-catalysis
 </li>
 <li>
 Reaction pathway identification
 </li>
 <li>
 Transition state searches (NEB, CI-NEB)
 </li>
 <li>
 Adsorption energies &amp; surface thermodynamics
 </li>
 <li>
 Microkinetic modeling
 </li>
 <li>
 Applications:
 </li>
 <ul>
 <li>
 OER, ORR, HER
 </li>
 <li>
 Photocatalysis
 </li>
 <li>
 Single-atom &amp; nanocluster catalysts
 </li>
 </ul>
 <li>
 Polymers &amp; Soft Matter Specialization
 </li>
 <li>
 DFT-based parameter extraction for polymers
 </li>
 <li>
 Multiscale polymer modeling (DFT, AA, CG)
 </li>
 <li>
 Dissipative Particle Dynamics (DPD)
 </li>
 <li>
 Monte Carlo Simulations
 </li>
 <li>
 Polymer blends, Polymer nanocomposites, surfactants, colloids
 </li>
 <li>
 Polymerization, degradation, crosslinking, morphology and aging studies
 </li>
 <li>
 Integration of DFT &rarr; MD &rarr; DPD&rarr;Phase field simulations pipelines
 </li>
 <li>
 Quantum Computing for Materials Simulation
 </li>
 <li>
 Map materials Hamiltonians to qubits:
 </li>
 <ul>
 <li>
 Jordan&ndash;Wigner, Bravyi&ndash;Kitaev, parity mappings
 </li>
 </ul>
 <li>
 Work on quantum algorithms including:
 </li>
 <ul>
 <li>
 VQE for correlated materials
 </li>
 <li>
 Subspace Quantum Diagonalization (SQD)
 </li>
 <li>
 qEOM for excited states
 </li>
 <li>
 Quantum Phase Estimation
 </li>
 <li>
 QITE / Quantum Monte Carlo
 </li>
 </ul>
 <li>
 Analyze:
 </li>
 <ul>
 <li>
 Qubit requirements
 </li>
 <li>
 Circuit depth
 </li>
 <li>
 Noise &amp; error budgets
 </li>
 </ul>
 <li>
 Design material-specific ans&auml;tze for NISQ devices and simulators
 
 </li>
 </ul>
 Software &amp; Programming Skills
 
 
 <ul>
 <li>
 DFT Codes: VASP, QE, CP2K, Gaussian, ORCA, CASTEP, ADF
 </li>
 <li>
 MD Codes: LAMMPS, GROMACS, NAMD, AMBER
 </li>
 <li>
 Visualization: VMD, VESTA, OVITO, Materials Studio, ASE
 </li>
 <li>
 Programming: Python (mandatory), Bash
 </li>
 <li>
 ML: PyTorch, TensorFlow, scikit-learn
 </li>
 <li>
 Infrastructure: HPC, MPI, Docker, Git, AWS / GCP
 
 
 </li>
 </ul>
 Soft Skills
 
 
 <ul>
 <li>
 Strong analytical and first-principles thinking
 </li>
 <li>
 Ability to design reproducible scientific workflows
 </li>
 <li>
 Clear scientific communication
 </li>
 <li>
 High ownership and curiosity-driven research mindset
 
 
 </li>
 </ul>
 
 Educational Qualifications
 
 
 
 <ul>
 <li>
 PhD (or pursuing PhD for intern role) in:
 </li>
 <ul>
 <li>
 Chemistry
 </li>
 <li>
 Materials Science
 </li>
 <li>
 Chemical Engineering
 </li>
 <li>
 Physics
 </li>
 <li>
 Computational Science or related STEM field
 </li>
 </ul>
 <li>
 Strong foundation in:
 </li>
 <ul>
 <li>
 Physical chemistry
 </li>
 <li>
 Quantum mechanics
 </li>
 <li>
 Statistical mechanics &amp; thermodynamics
 </li>
 </ul>
 <li>
 Specialization in computational chemistry / materials modeling strongly preferred
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Publications or strong computational project portfolio
 </li>
 <li>
 Experience with HPC &amp; large-scale simulations
 </li>
 <li>
 Prior work in:
 </li>
 <ul>
 <li>
 Materials discovery
 </li>
 <li>
 Catalysis
 </li>
 <li>
 Semiconductor
 </li>
 <li>
 Polymer modeling
 </li>
 <li>
 ML-driven materials science
 </li>
 </ul>
 <li>
 Exposure to quantum algorithms or hybrid quantum&ndash;classical workflows
 
 </li>
 </ul>
 Skills: ml,dft,materials,simulations,modeling
</div>

Computational Materials Discovery Scientist

slice

<div>
 
 
 Duration
 
 - 6 months
 
 
 
 Location
 
 - Bangalore (in-office)
 
 
 
 
 
 
 About the role
 
 
 
 As an Analyst Intern, you will help shape slice's credit, business and fraud strategies by combining your product and business acumen and data driven insights. Being a key member of the team, you&rsquo;ll work closely with leadership, credit, and product teams to craft and execute analytics-driven strategies for business growth. We know these are a lot of heavy words we just wrote, but as they say &ldquo;bigger the risk, bigger the rewards".
 
 
 
 
 
 
 What You will do
 
 
 <ul>
 <li>
 Break down a business problem into different smaller problems.
 </li>
 <li>
 Work with key leaders in the company to get a deeper understanding of the business problem at hand.
 </li>
 <li>
 Coordinate with the data team to ensure that data is available in the required format ready to be consumed by you.
 </li>
 <li>
 Generate insights from the data and come up with recommendations.
 </li>
 <li>
 Measure the impact post implementation and take further steps if necessary.
 </li>
 <li>
 Be satisfied making an actual and significant impact on the business.
 </li>
 </ul>
 
 
 
 
 
 What you will need
 
 
 <ul>
 <li>
 Good technical knowledge of SQL &amp; Python
 </li>
 <li>
 Good problem solving and Logical thinking skills
 </li>
 <li>
 A knack for grasping new things and implementing them
 </li>
 <li>
 Ability to draw conclusions from data and recommend actions.
 </li>
 <li>
 Demonstrated willingness to teach others and learn new techniques.
 </li>
 </ul>
 
 
 
 
 
 About Us
 
 
 
 
 
 
 slice
 
 
 A new bank for a new India
 
 
 
 
 
 slice&rsquo;s purpose is to make the world better at using money and time, with a major focus on building the best consumer experience for your money. We&rsquo;ve all felt how slow, confusing, and complicated banking can be. So, we&rsquo;re reimagining it. We&rsquo;re building every product from scratch to be fast, transparent, and feel good, because we believe that the best products transcend demographics, like how great music touches most of us.
 
 
 
 
 
 Our cornerstone products and services: slice savings account, slice UPI credit card, slice UPI, and slice business are designed to be simple, rewarding, and completely in your control. At slice, you&rsquo;ll get to build things you&rsquo;d use yourself and shape the future of banking in India. We tailor our working experience with the belief that the present moment is the only real thing in life. And we have harmony in the present the most when we feel happy and successful together.
 
 
 
 
 
 We&rsquo;re backed by some of the world&rsquo;s leading investors, including Tiger Global, Insight Partners, Advent International, Blume Ventures, and Gunosy Capital.
 
</div>

Analytics Intern

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