Developer- Data Scientist - Technology Services - ( 1900021188 ) Job : Technology Primary Location : ASEAN & South Asia-India-Bangalore Schedule : Full-time Employee Status : Permanent Posting Date : 19/Aug/2019 Unposting Date : Ongoing About Standard Chartered We are a leading international bank focused on helping people and companies prosper across Asia, Africa and the Middle East. To us, good performance is about much more than turning a profit. It's about showing how you embody our valued behaviours - do the right thing, better together and never settle - as well as our brand promise, Here for good. We're committed to promoting equality in the workplace and creating an inclusive and flexible culture - one where everyone can realise their full potential and make a positive contribution to our organisation. This in turn helps us to provide better support to our broad client base. The Role Responsibilities & Our Ideal Candidate This role is essential to success for your big data journey. The Business analyst is the link between a company’s data program and its business objectives. Business analysts help businesses extract value from their big data systems in a cost-effective way by determining the requirements of a project or program and communicating them to stakeholders and partners. Business analysts are particularly important to your venture due to their intimate industry and company knowledge. This allows them to analyse business-level data with a critical eye for perceiving actionable insights that will add value to your organization. What are we looking for – Young, Confident Engineers Passionate about data, data science and full stack technologies Knack of experimenting with newer technologies Risk takers and become influencers in the team Skills : Data science, Python, Scikit Learn, Tensorflow, NN, RNNs, Deep Learning, Chatbots - RASA, AI /ML Products – Squirro, Ayasdi, Data Robot, Full stack using Python/Flask/React/REST API, JS, Postgres / Mongo, Elastic, Big Data, Hadoop Deliveries Build chatbot platform powered by opensource framework (Python / RASA) and full stack using React JS and bank standard SCARF components. Build solution using Machine learning, NLP on unstructured data to measure customer experiences, insights, sentiment analysis / scoring, data extraction and generate leads around revenue generation. Develop services using Machine learning algorithms (includes supervised and unsupervised): regression, simulation, scenario analysis, topic modelling, clustering, decision trees, neural networks, etc. for appropriate use cases (e.g. predict cost to serve, classification, categorize) for operational transformation. Become de-facto expert of Enterprise AI / ML tools, For e.g. (Squirro) Mine and analyse data from Data Platforms (Hadoop / Elastic) and bring valuable insights Continuously Challenge in monthly hackathons and embrace studio mode culture. Apply now to join the Bank for those with big career ambitions.

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Confirmed 16 hours ago. Posted 30+ days ago.

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