Data Scientist Experience 4–7 years Requirements 1 4–7 years of data science experience 2 Proficiency in SQL and Excel 3 Production engineering best practices: Git, Docker 4 Working knowledge of AWS Cloud 5 Foundational ML: regression, classification, optimisation techniques Responsibilities 1 Analyse structured and unstructured data; build and deploy ML models 2 Collaborate cross-functionally for scalable, actionable insights 3 Design and execute A/B testing experiments 4 Develop subject matter expertise across diverse project domains 5 Translate analytical findings into clear recommendations for stakeholders 6 Work with data engineering to operationalise models and pipelines 7 Create visualisations to communicate data insights effectively 8 Stay updated on emerging data science tools and techniques

SRM Technologies is a global digital and engineering services company serving Mobility, Life Sciences, Healthcare, and other high-impact industries. We partner with enterprises to build intelligent, future-ready business ecosystems that combine deep engineering expertise with digital innovation.
Our integrated capabilities span design, development, modernization, implementation, and managed services across digital platforms, data, cloud, embedded systems, and industry-specific solutions. With delivery presence across North America, Japan, Europe, the UK, the Middle East, Australia, and India, we support global enterprises in navigating transformation at scale.
We are a certified Great Place To Work®, and our culture is anchored in one core belief: ideas@work. For us, ideas matter only when they translate into measurable business outcomes and meaningful impact for our customers and their end users. We focus on practical innovation, execution excellence, and long-term value creation driven by our passionate and growing team.
𝘚𝘙𝘔 𝘛𝘦𝘤𝘩 𝘪𝘴 𝘢 𝘱𝘳𝘰𝘶𝘥 𝘮𝘦𝘮𝘣𝘦𝘳 𝘰𝘧 𝘵𝘩𝘦 𝘚𝘙𝘔 𝘎𝘳𝘰𝘶𝘱, 𝘢 𝘮𝘶𝘭𝘵𝘪𝘯𝘢𝘵𝘪𝘰𝘯𝘢𝘭 𝘤𝘰𝘯𝘨𝘭𝘰𝘮𝘦𝘳𝘢𝘵𝘦 𝘸𝘪𝘵𝘩 𝘢 𝘳𝘪𝘤𝘩 𝘩𝘪𝘴𝘵𝘰𝘳𝘺 𝘴𝘱𝘢𝘯𝘯𝘪𝘯𝘨 𝘰𝘷𝘦𝘳 𝘧𝘰𝘶𝘳 𝘥𝘦𝘤𝘢𝘥𝘦𝘴. 𝘛𝘩𝘦 𝘚𝘙𝘔 𝘎𝘳𝘰𝘶𝘱 𝘰𝘱𝘦𝘳𝘢𝘵𝘦𝘴 𝘪𝘯 𝘥𝘪𝘷𝘦𝘳𝘴𝘦 𝘴𝘦𝘤𝘵𝘰𝘳𝘴, 𝘪𝘯𝘤𝘭𝘶𝘥𝘪𝘯𝘨 𝘌𝘥𝘶𝘤𝘢𝘵𝘪𝘰𝘯, 𝘛𝘦𝘤𝘩𝘯𝘰𝘭𝘰𝘨𝘺, 𝘏𝘦𝘢𝘭𝘵𝘩𝘤𝘢𝘳𝘦, 𝘢𝘯𝘥 𝘔𝘦𝘥𝘪𝘢.