Data Scientist

Enterprise Bot is the leading provider of GenAI, Conversational AI, and automation software, headquartered in Zurich, Switzerland. Our intelligent virtual assistants and automation tools help organizations improve efficiency, reduce costs, and deliver exceptional customer experiences across industries such as banking, insurance, and logistics. Our mission is to become the world’s #1 AI-driven automation software provider within the next five years. We work with leading companies such as the SIX Group (Swiss Stock Exchange), SWICA, Generali, and others to enhance customer interactions and automate business processes using our cutting-edge Conversational AI technology. Our global team includes more than 70 highly skilled professionals from diverse backgrounds. We foster an open, progressive company culture with state-of-the-art technology and flat hierarchies. At Enterprise Bot, you’ll experience a unique blend of passion, purpose, challenge, and fun. Tasks We are looking for a full-time Data Scientist for our Bangalore office. As an integral part of the team, you will work within multi-disciplinary teams and with external collaborators to identify opportunities for leveraging data, developing proof-of-value prototypes and implementing data science and AI solutions that solve R&D enterprise level problems. Role & Responsibilities: The data scientist will be responsible for design and development of deep learning & LLM based models on unstructured and Structured Data. Will focus on not just on designing the algorithm but also on delivering it at scale. Will build and deploy deep learning techniques in production. Design and develop software modules that perform data ingest, data transform, and analytics tasks. Deliver customized solutions in a timely manner. Monitor and maintain high quality and accuracy of models during deployment. Requirements Candidates should have 2-3 years of experience in the fields of machine learning, deep learning, LLM-based models, NLP, and data science. Strong skills in Python. Hands-on experience in developing & running machine learning applications in production. Familiarity with training and serving large language models in production. Hands on experience in building and implementing advanced statistical analysis and machine learning and data mining. Strong understanding of fundamentals of Computer Science. Benefits Be part of a rapidly growing company at the forefront of AI automation and conversational AI solutions used by leading global enterprises. Shape solutions that make a measurable impact for Fortune 500 clients and leading European enterprises. A culture comprised of diverse, global teams who have a passion for collaboration, creativity, and excellence in client service A competitive salary and scope for further advancement. A great environment that promotes open feedback and a flat hierarchy, working at Enterprise Bot is a refreshing mix of purpose, challenge, and fun. If you’re passionate about technology, love solving complex problems, and are eager to be part of a dynamic, innovative team, your journey starts here. Join us in harnessing cutting-edge AI solutions to drive data-driven insights and make a lasting impact. Enterprise Bot, founded in 2017, leverages GenAI technology to redefine customer engagement and operational processes for businesses worldwide. Headquartered in Switzerland, our company embeds cutting-edge AI into popular software suites such as Genesys, BSI or Salesforce, enhancing customer interactions across email, voice, and chat. Trusted by leading firms across Europe and Asia like Generali, SIX, ÖBB, LNER, NS International, flydubai, and SWICA, we not only boost efficiency and accuracy with agent assist and automation but also ensure the highest standards of data security under European regulations. Our innovative approach uniquely combines low-code bot automation, real-time analytics and adaptive learning algorithms, enabling organizations to improve customer and employee experiences, increase profitability, and reduce operational costs effectively.