Title: Data Science Analyst Location: Bangalore ABOUT US We are Ai Palette. We think the world would be a nicer place to be if food companies could create products that the consumers really want. So we are making it happen. We want to be the most preferred Food AI company in the world. We re making it possible by building an AI-powered SaaS platform based on our founders experience in the Food Industry AI. Our customers include Fortune 500 companies and FMCG brands. We have won several accolades awards in our short period of existence such as: 1. Top 5 AI startup for FMCG industry by StartUs Insights 2. Top 10 Global Food Retail Tech startup at Kickstart Innovation 20 in Switzerland 3. Top 15 Global Food tech Startup at Slingshot 19 in Singapore 4. Top 200 Global startups at HKSTP Epic 20 in HongKong WERE LOOKING FOR A DATA SCIENCE ANALYST We are looking for a passionate Data Science Analyst to collaborate with Account Managers within the Analytics and Consulting team to deliver data-driven insights and analytics solutions to clients. The role involves working on diverse analytics projects, including data processing, exploratory analysis, predictive modeling, and visualization, to address client needs effectively. You will be part of the team that is a bridge between the client i.e. leading consumer good companies and the Ai Palette team. This is a great opportunity to work with leading consumer goods companies on very interesting challenges and expand your understanding of how social data and data science can be used to augment and replace traditional consumer research. RESPONSIBILITIES Data Analysis and Modeling Conduct exploratory data analysis (EDA) to uncover actionable insights. Develop, validate, and deploy machine learning and predictive models to solve business problems. Build and optimize recommendation systems, classification models, and forecasting solutions. Client Collaboration and Project Delivery Work closely with Account Managers to scope and execute analytics projects aligned with client objectives. Prepare impactful dashboards of analytical findings for both technical and non-technical stakeholders. Data Management and Visualization Collect, preprocess, and manage large datasets from multiple sources. Create intuitive and insightful visualizations and dashboards using tools such as MS Excel or Python libraries (e.g., matplotlib, seaborn). Cross-functional Collaboration Collaborate with the consulting and engineering teams to translate client requirements into technical solutions. Partner with stakeholders to identify areas for applying analytics to drive decision-making. Continuous Improvement Stay updated with the latest advancements in analytics, machine learning, and AI. Contribute to a culture of innovation by sharing ideas, tools, and techniques with the team. REQUIREMENTS Educational Background Bachelor s or Master s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Technical Skills Strong programming skills in Python, R, or a similar language. Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch. Proficiency in data mining, data manipulation and querying. Knowledge of visualization tools such as Tableau, Power BI, or equivalent. Analytics Experience Hands-on experience in developing predictive models, optimization techniques, and statistical analysis. Familiarity with NLP techniques and time series forecasting is a plus. Soft Skills Strong problem-solving skills and attention to detail. Excellent communication skills to convey complex concepts clearly. Ability to manage time effectively in a dynamic and fast-paced environment. Preferred Qualifications Experience in consulting or working on client-facing analytics projects. Exposure to MLOps practices or productionizing machine learning models. BENEFITS Great progression opportunities - we want you to grow with us! Look after yourself with health insurance including Hospital/Surgical, Major Medical and Outpatient Learn new skills with sponsored training on Coursera Expand your knowledge with sponsored annual library membership Flexible work hours: Early birds and midnight-oil-burners rejoice! EQUAL OPPORTUNITY: 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, gender, sexual orientation, age, marital status, veteran status, or disability status.

About Us We are Ai Palette . We think the world would be a nicer place to be if Food Companies could create products that the consumers really want. So we are making it happen. We want to be the most preferred Food AI company in the world. We re making it possible by building an AI-powered SaaS platform based on our founders experience in the Food Industry AI. We are a Series A round funded company with experienced investors like pi Ventures, Exfinity ventures and Anthill ventures. We are building a global company and are already working with customers across the globe. Our customers include Fortune 500 companies and FMCG brands. We have won several accolades awards in our short period of existence such as: Top 10 Global Food Retail Tech startup at Kickstart Innovation20 at Switzerland Top 15 Global Food tech Startup at Slingshot19 at Singapore Top 200 Global startups at HKSTP Epic20 at HongKong Top 500 Global Food Tech startups by Forward Fooding WHAT S IT LIKE TO WORK AT AI PALETTE Were a growing technology startup headquartered in Singapore with our Engineering base in Bangalore and a team in the US. We Paletteers are a highly passionate and motivated bunch of people that help each other do remarkable things and achieve extraordinary results every single day. We are active learners, have a positive impact on consumers lives and settle for nothing short of excellence. We face challenges together and we win together. In our vision to build the Worlds First AI Platform for New Product Innovation, there isn t a day that goes by where we don t have Aha moments. We strive together to deliver world-class solutions that transform the way consumer products of today and tomorrow will be created. Join us! Responsibilities Meet and exceed quarterly and annual sales targets, consistently driving revenue growth in the enterprise segment. Prospect, identify, and qualify potential enterprise clients, understanding their unique business challenges and needs. Develop a deep understanding of our products/services to effectively communicate their value propositions to potential clients. Collaborate with internal stakeholders to execute on sales strategies and campaigns for the enterprise segment. Conduct product demos and presentations to showcase our solutions and address client needs effectively. Prepare and deliver persuasive sales proposals, negotiate contracts, and close deals with enterprise clients. Build and maintain strong, long-lasting relationships with key clients and stay updated on industry trends, competitor activities, and market dynamics to identify new opportunities and threats. Requirements Bachelors degree in Business, Marketing, or a related field. MBA preferred. 5-8 years of proven success in sales selling Enterprise SaaS platforms with a track record of meeting or exceeding sales targets. Experience in Market Research and/or Social listening is a plus. Strong understanding of enterprise sales processes and the ability to navigate complex sales cycles. Excellent communication, negotiation, and presentation skills. Ability to build and maintain relationships with senior executives and key decision makers. Understanding of the technology industry, especially in AI or software solutions. Results-driven mindset with a focus on achieving and exceeding sales targets. Ability to work in a fast-paced and dynamic environment. Proficiency in CRM software and other sales enablement tools. Willingness to travel as required. Benefits Great progression opportunities - we want you to grow with us. Look after yourself with health insurance including Hospital/Surgical. Learn new skills with sponsored training on MOOCs such as Coursera, Udemy. Equal Opportunity 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, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Description: Seeking a motivated Engineering Intern to join our team, ideally an undergraduate in an engineering program. This role focuses on streamlining data workflows and solving technical challenges, providing an excellent opportunity to develop both technical and strategic skills. Key Responsibilities: Workflow Automation: Use tools like Python, Excel macros, or RPA software (e.g., UiPath, Power Automate) to optimize manual data processes and improve efficiency. Data Integration: Develop scripts to aggregate, clean, and transform data from multiple sources into usable formats for analysis. Data Analysis & Insights: Work with large datasets to identify trends, extract actionable insights, and support data-driven decision-making. Domain Understanding: Gain exposure to the end-to-end data lifecycle, from curation to actionable insights, while contributing domain inputs for product development. What We re Looking For: Proficiency in Python or other scripting languages to automate repetitive tasks. A strategic mindset with a passion for understanding market dynamics and problem-solving. Familiarity with data cleaning and processing tools such as Pandas, NumPy, or equivalent. Strong analytical skills and attention to detail, with an interest in market trends and consumer data.

We are looking for an ambitious and self-driven Software Architect to join our team. As an architect, you will be responsible for making design choices, coordinate & oversee technical standards including software coding standard, tools and platforms. Your responsibilities: Identifying business requirements and requirements of the stakeholders on the project Design the entire system based on the received requirements Collaborate with other professionals to determine functional & non- functional requirements for new software, platforms & applications Design the entire system based on the received requirements Choose the system architecture and each individual component of the system at a high level Choose the technologies for implementation of each component and connections between components Review the architecture and code Utilize tools, technology & various methodologies to create functional & intuitive solutions for user interfaces of desired products Develop & implement product specifications Pay attention to system integration, sustainability & feasibility Manage all phases of technology development Oversee & supervise the work of the development team Guide/coach developers & engineers Suggest & implement solutions for process improvement Adhere to all the requirements & guidelines for quality, security, extensibility Plan for new technology insertion Understand & plan evolutionary paths Manage risk identification & risk mitigation strategies associated with the architecture Skill sets/Experience we require: Proven work experience as a Software Architect, Software Development or similar role Proven coding experience in various languages - C#, .NET, Java..) Good knowledge of software & application design & architecture Knowledge of HTML/CSS, Javascript & UI/UX design Understanding of software quality assurance principles Technical mindset & analytical approach Great attention to detail & good leadership skills Good interpersonal & communication skills Pedigree: Bachelors/Masters in Computer Science or relevant field

Responsibilities:Lead a team of data engineers specialising in data engineering, providing technical guidance, mentoring, and performance feedback.Optimise and automate processes for regularly refreshing the worlds largest consumer data lake, purpose-built for CPG.Drive higher levels of automation and faster process (TAT) for weekly, monthly, and quarterly refresh processes.Drive initiatives for ongoing improvements in the quality and completeness of data on the platformDesign, develop, and maintain spark data pipelines, ensuring efficient and timely data acquisition from various sources.Develop and enforce data engineering best practices, standards, and processes.Identify and resolve issues related to data engineering, such as handling complex data structures, mitigating bottlenecks, and addressing scale issues.Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand data requirements and develop scalable data engineering solutions.Collaborate with stakeholders to define data engineering project requirements, timelines, and deliverables.Perform data extraction, transformation, and loading (ETL) tasks to convert raw data into usable formats for downstream analysis and processing.Monitor data pipeline performance and implement mechanisms to ensure the reliability and scalability of data pipelines.Stay up to date with the latest trends and advancements in data engineering techniques and related technologies.Requirements:Bachelors or masters degree in computer science, data engineering, or a related field.Proven experience (8+ years) working as a data engineer, with a specialisation in data engineering.Strong programming skills in languages such as Python, Java, and Spark Pipelines.Proficiency in SQL and database technologies (e.g., PostgreSQL, MySQL, or Oracle) for data storage and retrieval.Familiarity with cloud platforms (e.g., AWS, Azure, or Google Cloud) and related data services for scalable and reliable data crawling.Knowledge of data modeling, data warehousing, and ETL processes.Experience with data warehouses such as Snowflake, Redshift, Elastic SearchStrong analytical and problem-solving skills, with a focus on data quality and accuracy.Excellent leadership and team management abilities, with a proven track record of leading data engineering teams.Effective communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders

Ai Palatte is looking for QA Engineer - Migration to join our dynamic team and embark on a rewarding career journey. QA Engineer - Migration is responsible for overseeing and optimizing qa engineer - migration operations. This role involves strategic planning, team coordination, and execution of tasks to ensure efficiency and productivity. The incumbent will collaborate with stakeholders to align operations with business goals. Duties include monitoring performance, ensuring compliance with policies, and implementing best practices. Additionally, they will manage resources, resolve operational challenges, and contribute to continuous improvement initiatives. Strong analytical skills, leadership abilities, and industry knowledge are essential for success in this role.