Data Scientist

Role Responsibilities

Job Summary

We're looking for a Data Scientist to work onsite within our Digital Bank. We're a small, but growing venture, with new and exciting problems to solve. We work in project-based sprints in small, interdisciplinary teams.

Responsibilities

Develop and implement actionable analytics and data science models with relevant stakeholders Run and execute those platforms: By creating predictive models and machine-learning algorithms for marketing models By building and maintaining the behavioural segmentation By delivering the dashboards and reports that make data actionable Assess the effectiveness and accuracy of data sources and data gathering techniques.  Processing, cleansing, and verifying the integrity of data used for analysis  Extending company's data with third party sources of information when needed  Crunch, mine and analyse data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.  Use predictive modelling to increase and optimize customer experiences, revenue generation, other business outcomes.  Selecting features, building and optimizing classifiers using machine learning techniques  Develop processes and tools to monitor and analyze model performance and data accuracy.  Doing ad-hoc analysis and presenting results in a clear manner  Creating automated anomaly detection systems and constant tracking of its performance  Analyse large amounts of information to discover trends and patterns  Present information using data visualization techniques  Propose solutions and strategies to business challenges  Present proposals and results in a clear manner backed by data and coupled with actionable conclusions.

Regulatory & Business Conduct

Display exemplary conduct and live by the Group’s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Lead to achieve the outcomes set out in the Bank’s Conduct Principles: [Fair Outcomes for Clients; Effective Financial Markets; Financial Crime Compliance; The Right Environment.] * Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.

Other Responsibilities

Embed Here for good and Group’s brand and values in XXXX [country / business unit / team]; Perform other responsibilities assigned under Group, Country, Business or Functional policies and procedures; Multiple functions (double hats); 

Our Ideal Candidate 

5 years of experience in manipulating data sets and building statistical models, ideally within a high growth start up or digital business.  Possesses a Master's or PHD in Statistics, Mathematics, Computer Science or another quantitative field.  Expertise in working with Large Language Models, particularly GPT (Generative Pre-trained Transformer) variants.  Understanding of generative models, deep learning, and natural language processing techniques.  Experience with a variety of machine learning techniques (supervised, unsupervised, anomaly detection, deep learning, NLP, RecSys etc) and understanding their real-world advantages / drawbacks.  Proven experience as a Data Scientist with past history of successfully delivering end-to-end data science projects (business understanding, EDA, modelling, deployment, monitoring, etc).  Proficiency in programming languages such as Python and deep learning frameworks like TensorFlow or PyTorch.  Experience using data science related languages/tools (Python, SQL, Spark etc) to manipulate data and draw insights from large data sets.  Experience using business intelligence tools ( Domo, Tableau, Data Studio) Experience with cloud technologies (AWS and GCP etc)  Have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.  Excellent written and verbal communication skills for coordinating across teams.  Excellent communication and presentation skills  Experience in Agile ways of working and familiarity with tools like Jira, Confluence, Slack etc

Role Specific Competencies

Data Pipeline Development Data Architecture

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