This would be Full stack Data Scientist role. Very unique opportunity to contribute in core models and not just experimental models. This give chance to work directly with Founders having core experience in Data. Expectation from the person is that they will define the problem statement, fetch data, identify right models, build and deploy in production. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) Deep understanding of basic statistics (central tendency, distributions etc.) Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in Python (it's fine if you take help of LLMs) Familiarity with MongoDB
Mandatory Requirements: Graduation Year: Candidates must be currently pursuing a Bachelor's or Master's degree, with an expected graduation date in 2026 . Internship Commitment: Candidates should be open to interning with us until graduation . Full-Time Opportunity: Upon successful completion of the internship and graduation, candidates may transition into a full-time role with us depending upon their performance. Details: This would be Full stack Data Scientist role. Very unique opportunity to contribute in core models and not just experimental models. This give chance to work directly with Founders having core experience in Data. Expectation from the person is that they will define the problem statement, fetch data, identify right models, build and deploy in production. Responsibilities: Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications: Bachelor's / Master's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) Deep understanding of basic statistics (central tendency, distributions etc.) Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in Python (it's fine if you take help of LLMs) Familiarity with MongoDB
About the Role We’re looking for a detail-oriented Finance Data Quality Specialist to join our core team. This role is focused on validating system-generated financial data, conducting manual research, and ensuring data accuracy across multiple sources. This is a critical role and you’ll play a key part in maintaining clean, consistent, and trustworthy data that drives product sanity. What You’ll Do Review and validate data records generated by backend systems Research external and internal sources to verify data accuracy Identify and correct inconsistencies, duplicates, and anomalies in datasets Document findings and flag issues with upstream data or processing logic Collaborate with engineering, product, and operations teams to improve data quality workflows Maintain up-to-date and accurate datasets by following consistent validation protocols What We’re Looking For 1–3 years of experience in data quality, QA, research, or operations roles Exceptional attention to detail and a systematic approach to problem-solving Ability to leverage GenAI tools Strong skills in Excel/Google Sheets; SQL or Python knowledge is a plus Comfortable performing structured manual research to verify data points Proactive, self-motivated, and able to work independently Clear written communication for documenting issues and processes Why Join Us Be the gatekeeper of high-quality data powering key systems and decisions Work in a fast-paced environment that values precision and ownership Opportunity to improve and shape data operations processes from the ground up
About the Role We’re looking for a detail-oriented Data Quality Analyst to join our backend data and operations team. This role is focused on validating system-generated data , conducting manual research, and ensuring data accuracy across multiple sources. You’ll play a key part in maintaining clean, consistent, and trustworthy data that drives business operations and decision-making. You will also build algorithms and systems that would minimize the manual validations. What You’ll Do Review and validate data records generated by backend systems Research external and internal sources to verify data accuracy Identify and correct inconsistencies, duplicates, and anomalies in datasets Document findings and flag issues with upstream data or processing logic Collaborate with engineering, product, and operations teams to improve data quality workflows Maintain up-to-date and accurate datasets by following consistent validation protocols What We’re Looking For Ideally a fresher / 0–3 years of experience in data quality, QA, research, or operations roles Exceptional attention to detail and a systematic approach to problem-solving Strong skills in Excel/Google Sheets, SQL and Python Comfortable performing structured manual research to verify data points Proactive, self-motivated, and able to work independently Clear written communication for documenting issues and processes Why Join Us Be the gatekeeper of high-quality data powering key systems and decisions Work in a fast-paced environment that values precision and ownership Opportunity to improve and shape data operations processes from the ground up
About the Role We’re looking for a Founder’s Office – Strategy & Growth hire to work closely with the founding team at Affluense.ai . This is a high-ownership, high-impact role where you’ll drive strategic initiatives across growth, product, product marketing, and sales — from idea to execution. This is not a “strategy-only” role — execution is everything. You’ll take ownership of projects, figure things out quickly, and deliver outcomes that move the business forward. What You’ll Do Work directly with founders to co-own and execute key projects across product, growth, and GTM. Identify, design, and scale growth experiments across acquisition, activation, and retention. Drive product-market fit insights by talking to customers, analyzing data, and shaping product direction. Craft and execute product marketing campaigns , from positioning to content to channel experiments. Support sales enablement & pipeline growth through research, automation, and playbook creation. Leverage GenAI tools for research, content creation, and rapid execution. Be the execution engine : take founder discussions from “idea → shipped project.” What We’re Looking For 1–3 years in startup / founder’s office / strategy & ops / growth roles. Strong bias for action — you figure things out and get them done. Execution-first mindset : comfortable with ambiguity, thrive in “0 → 1” projects. Exposure to growth, product, marketing, or sales in a startup environment. Comfortable using GenAI tools to accelerate output. IIT/IIM/ISB or top-tier school background a plus (but not a must). Outcome-driven, impact-focused. Why Join Us Work directly with the founders on high-priority projects. Steep learning curve — exposure to all parts of the business. Play a pivotal role in scaling Affluense in the WealthTech space . High ownership, high visibility, high impact. 👉 This is not a “spectator role.” If you’re someone who thrives on execution, impact, and speed , this is for you.
Affluense is looking for a Business Development & Growth Specialist who thrives at the intersection of B2B SaaS sales and startup hustle . This role is about more than just cold outreach — you’ll combine sales development skills with a growth-hacker’s mindset , using AI, automation, and creative strategies to generate qualified enterprise leads. If you’ve worked in a startup environment before, you know the pace: fast, scrappy, and impact-driven. If that excites you, this role is for you. What You’ll Do Research and target enterprise prospects in the B2B SaaS space. Run multi-channel outreach (calls, email sequences, LinkedIn, social). Use AI + automation tools to personalize, scale, and optimize campaigns. Design and test growth hacks to uncover warm leads. Book qualified meetings with enterprise decision-makers. Keep CRM data clean and report on pipeline metrics. What We’re Looking For 1–3 years in Sales Development / Business Development within B2B SaaS (Enterprise strongly preferred). Experience working in a startup or fast-growth environment. Familiar with sales tools (HubSpot, Apollo, LinkedIn Sales Navigator, Lemlist, etc.). Comfortable with AI + automation tools (ChatGPT, Jasper, Clay, PhantomBuster, etc.). Strong communication skills — able to engage executive-level stakeholders. Growth mindset: creative, resourceful, and comfortable experimenting. Why Join Affluense? Make a big impact in a fast-growing startup . Work directly on enterprise SaaS sales growth . Get hands-on with the latest AI + automation stack . Freedom to test bold ideas and own results. Be part of a scrappy, ambitious team obsessed with growth.
Data Validation & Automation Analyst ( 0 - 2 Years) Affluense is building an AI-powered research and engagement platform designed to help wealth management and financial institutions acquire, retain, and upsell affluent customers. We’ve already enabled leading firms to save 90% of analyst time by automating research and insights from public and proprietary datasets. Now, as we expand our AI capabilities, we’re looking for sharp minds to ensure our data remains accurate, reliable, and ready to scale. About the Role As a Data Validation & Automation Analyst, you will ensure the quality of data generated by our AI agents. You’ll manually validate, refine, and improve our AI outputs while helping design processes to reduce human validation and move towards full automation. Key Responsibilities Validate and enhance AI-generated data from public and proprietary sources. Identify gaps or inconsistencies and ensure data accuracy and completeness. Collaborate with product and automation teams to reduce manual validation. Build frameworks and feedback loops that improve our AI’s data accuracy. Maintain validation logs and insights for process improvement. Who You Are BBA or MBA graduate (Finance, Business Analytics, or related domains). 0–2 years of experience in data, research, or operations. Strong analytical, logical, and problem-solving skills. Curious about AI, automation, and financial data systems. Proficient with Google Sheets / Excel and comfortable with data review. Compensation 3-Month Internship: ₹15,000/month stipend. Post Internship: ₹3–6 LPA + ESOPs (based on performance & contribution). Please apply only through this link → https://lnkd.in/gkJ4_NY3
Location: Bengaluru | Full-Time | Remote Affluense.ai is building the world’s most advanced AI-powered affluent intelligence platform , helping businesses discover, understand, and engage High Net Worth Individuals through real-time data and deep profiling. We are backed by Zeropearl VC , Kunal Shah (CRED) , and Pravin Jadhav (Dhan) . We are looking for a Data Scientist with strong fundamentals and curiosity to work directly with the founders on key ML models powering our platform. Responsibilities Build, validate, and optimize core machine learning models , including supervised and unsupervised algorithms. Develop models for entity matching, classification, clustering, anomaly detection, and predictive scoring (e.g., wealth scoring). Work on LLM-powered data extraction , enrichment, and text understanding (if experienced). Design and maintain feature engineering pipelines across structured and unstructured datasets. Collaborate with engineering teams to deploy ML models into production at scale. Continuously experiment with new techniques to improve accuracy, coverage, and inference efficiency. Work with real-world data challenges — noisy data, incomplete information, entity resolution, and cross-source matching. Requirements Self starter and self motivated with deep curiosity and motivation to learn. Strong foundation in probability, statistics, and linear algebra . Solid experience with supervised & unsupervised ML (Regression, Classification, Clustering, Ensemble methods, etc.). Hands-on experience in Python , Pandas , scikit-learn , and basic ML Ops. Ability to independently build, test, and tune models end-to-end. Experience with LLMs (OpenAI, HuggingFace, LangChain) is a strong plus , but not mandatory. Prior experience in data-focused startups, finance, or intelligence systems is a plus. Budget for the role: 4-8 Lakhs (Cash+Esop) Note: You can apply on the form given below. No other mode of application is considered. https://forms.gle/XJARwp7fEXDqAc2R9