Senior Sales Development Representative

Job Description:

As a Data Science Intern, you will collaborate with our data science and analytics teams to work on meaningful projects involving data analysis, predictive modeling, and statistical modeling. You will have the opportunity to apply your academic knowledge in a practical, fast-paced environment, contribute to key data-driven projects, and gain valuable experience with industry-leading tools and technologies.

Responsibilities:

• Assist in collecting, cleaning, and preprocessing data from various sources.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Develop and implement machine learning models and algorithms.
• Create data visualizations and reports to communicate findings to stakeholders.
• Collaborate with team members on data-driven projects and research.
• Participate in meetings and contribute to discussions on project progress and strategy.
• Work with large datasets to clean, preprocess, and analyze data.
• Build and deploy statistical and machine learning models to generate actionable insights.
• Conduct exploratory data analysis (EDA) to uncover trends, patterns, and correlations.
• Assist in the creation of data visualizations and dashboards for reporting insights.
• Support the development and improvement of data pipelines and algorithms.
• Collaborate with cross-functional teams to understand data needs and translate them into actionable analytics solutions.
• Contribute to the documentation and presentation of results, findings, and recommendations.
• Participate in team meetings, brainstorming sessions, and project discussions.

Duration: 03 Months (with the possibility of extending up to 6 months)

MODE: Work From Home (Online)

Requirements:

• Any Graduate / PassOuts / Freasher can apply.
• Currently pursuing a Bachelor's or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.
• Proficiency in programming languages such as Python, R, or SQL.
• Strong foundation in statistics, probability, and data analysis techniques.

Benefits

Internship Certificate

Letter of recommendation

Stipend Performance Based

Part time work from home (2-3 Hrs per day)

5 days a week, Fully Flexible Shift

About Company:

Our client is AI-first visibility agency. We take B2B SaaS brands beyond

traditional SEO, optimising their presence so they’re the answer inside ChatGPT,

Perplexity, Claude, Bing and every emerging discovery layer. We’re a lean team,

profitable, and growing team with clients across the US, EU and India.

Key responsibilities

● Work actively on content pieces for clients and internal (Company)

● Maintain a single source of truth with version control, style guidelines and release

notes.

● Track engagement metrics, collect feedback and iterate quickly, in days, not

sprints.

● Writing optimized blog posts.

● Conducting competitor analysis.

● Updating existing content for better rankings and readability

● Updating existing content for better rankings

You’ll thrive here if you

● Have compelling long-form or product copy samples that have already driven

sign-ups, sales, or social traction.

● Understand (or can quickly learn) SaaS, product-led growth, operations in SaaS

and SEO fundamentals.

● Welcome concise, data-backed feedback

● Keep your own deadlines and communicate blockers early.

What We Offer

● Direct access to founders, zero bureaucracy, real impact from week one.

● Strong performers can convert to a full-time role with expanded responsibility.

● Monthly stipend of Rs.15k to 20k (Negotiable based on performance)

● A job offer upto ₹ 5 LPA post internship

Who can apply:

● Are available for full time (in-office) internship - HSR

● Can start the internship between 15th Oct'25 and 11th Nov'25

● Are available for duration of 3-6 months

● Are from Bangalore

● Have relevant skills and interests

Company Profile:

Tring is India's leading new-age digital platform connecting fans and celebrities digitally through various products like personalized video messages, live interactions, DM on Instagram, Personalized meet-ups and many more. Tring has a roster of more than 12,000+ celebrities from Bollywood, TV, sports, regional and international space, covering names like Shankar Mahadevan, Sharman Joshi, Shaan, Vivek Oberoi, Saina Nehwal, David Koechner, Enrique Arce, and many more.

Why should you join Tring?

Our goal: Changing the gifting experience in India, pioneering the celebrity world for the fans, with a simple goal to connect fans with their favorite celebrities, for one and all. We believe in gender equality. The young team of Tring is enthusiastic and passionate to take it to the next milestone.

Job Description

Position: Relationship Executive (Brand Executive) B2B

Roles and Responsibilities-

•  Conduct regular meetings with potential leads to foster relationships, understand their needs, and tailor offerings to drive business growth.
•  Collaborate with the Marketing Team to analyse, refine, and implement effective plans and strategies for the various brand requirements and business needs which would include Celebrity Management, Influencer Marketing, Productions and more.
•  Build and nurture relationships with brands to explore collaboration opportunities, ensuring mutually beneficial partnerships and extending the reach and impact of Tring's services.

 Maintain strong relationships with past clients, ensuring continuous engagement and generating additional business opportunities through effective relationship management and understanding their evolving requirements. 

Responsibilities:

• Collateral Development: Create compelling marketing collateral using PowerPoint presentations that communicate our brand, products, and services.

• Market Research for Collaterals: Conduct research to gain insights into market trends, customer behavior, and competitors, with a focus on aligning marketing collaterals with our company's materials while maintaining consistency with our existing brand materials.

• Visual Design: Utilize Adobe Creative Cloud tools, Canva, and PowerPoint to design visually appealing graphics, images, and visuals for marketing materials.

• Communication: Maintain effective communication with consultants from various regions, ensuring a smooth exchange of ideas and information. Excellent written and verbal communication skills are essential.

• Social Media: Support our social media presence and engage with our audience. This includes supporting the sharing of content, responding to messages, and monitoring social media performance.

• Stakeholder Management: Develop and nurture relationships with key stakeholders, both internal and external, to ensure alignment and collaboration on marketing initiatives.

• Administrative Tasks: Perform various administrative tasks related to marketing, including but not limited to email communication, document organization, and file management.

• Time Management: Efficiently manage your time to meet project deadlines, even in high-pressure situations. Prioritize tasks effectively to ensure smooth project execution.

• Adaptability: Be a versatile team player willing to take on various roles and responsibilities as needed. Embrace change, and proactively learn and adapt to new processes and technologies.

• A Bachelors or master’s degree in engineering.
• 2-4 years of experience in software product development.
• Excellent in Data structure, Algorithms & Problem-solving skills.
• Should be willing to code in Node.js/Java/Python/ROR/Golang
• Write extensive, efficient code to address complex modules and that handles interaction between multiple components.
• Customer-focused, react well to changes, work with teams and able to multi-task.
• Must be a proven performer and team player that enjoy challenging assignments in a high-energy, fast growing and start-up workplace.
• Must be a self-starter who can work well with minimal guidance and in fluid environment

Job Overview

                         We are looking for a ML Architect to help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. They must have strong experience using variety of data mining and data analysis methods, building and implementing models, using/creating algorithm’s and creating/running simulations.  They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Automating to identify the textual data with their properties and structure form various type of document.

Responsibilities

• Selecting features, building and optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Creating automated anomaly detection systems and constant tracking of its performance
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Secure and manage when needed GPU cluster resources for events
• Write comprehensive internal feedback reports and find opportunities for improvements
• Manage GPU instances/machines to increase the performance and efficiency of the ML/DL model.

Skills and Qualifications

• Strong Hands-on experience in Python Programming
• Working experience with Computer Vision models - Object Detection Model, Image Classification
• Good experience in feature extraction, feature selection techniques and transfer learning
• Working Experience in building deep learning NLP Models for text classification, image analytics-CNN,RNN,LSTM.
• Working Experience in any of the AWS/GCP cloud platforms, exposure in fetching data from various sources.
• Good experience in exploratory data analysis, data visualisation, and other data preprocessing techniques.
• Knowledge in any one of the DL frameworks like Tensorflow, Pytorch, Keras, Caffe
• Good knowledge in statistics,distribution of data and in supervised and unsupervised machine learning algorithms.
• Exposure to OpenCV Familiarity with GPUs + CUDA
• Experience with NVIDIA software for cluster management and provisioning such as nvsm, dcgm and DeepOps.
• We are looking for a candidate with 14+ years of experience, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with AWS cloud services: EC2, RDS, AWS-Sagemaker(Added advantage)
• Experience with object-oriented/object function scripting languages in any: Python, Java, C++, Scala, etc.