Data Science Engineer
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
What are we looking for
- Suite of projects for Operations across Business (e.g. Retail, Cash, Trade, FM, Security services) involves data science, chatbots, Web UI, Data platforms that will eventually lead to revenue creation, revenue protection, business efficiency and better servicing our customers.
- Deliver AI Store / cognitive technology platform (chatbot, various predictive use cases around AI/ML/NLP), experiment block chain use cases to support the operations in the bank
- Deliver Data driven AI solutions that brings out customer centric insights that help for better service our customers (revenue creation opportunities, sentiments, know better our top customers using data, key interactions themes with our clients)
- Project brings innovative solutions to service our customers in a highly competitive environment.
- Exceptional opportunity to work with global teams in a rapid application development mode working very close to business.
Scope / Deliverables Expected
- 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
- 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, Ayasdi, Data robot)
- Experiment Blockchain use case for Operations
- Continuously Challenge in monthly hackathons and embrace studio mode culture.
- Data science, Python, Scikit Learn, Tensorflow, NN, RNNs, Deep Learning, Chatbots - RASA, AI /ML Products - Instabase, Squirro, Ayasdi, Data Robot, Full stack using Python/Flask/React/REST API, Blockchain
Apply now to join the Bank for those with big career ambitions.