Job Information
Travelex Lead Data Scientist in IND, United States
Role Title - Lead Data Scientist
Location - Mumbai, India
Role Purpose
As the Lead Data Scientist for Travelex, you will steer the discovery of the business insight hiding in our data. You will be designing, delivering and managing multiple work streams involving modelling, data mining, prediction, advanced analytics and AI. Your role is critical to the way we create Foreign Exchange and payment products based on deep understanding of our customers. Your work will continuously underpin important business decisions, working with product owners, data engineers, subject matter experts and managers across the company.
You will be the colleague accountable for data science standards and deliverables across Travelex. This includes both hands-on technical work (such as statistical analysis and machine learning model development) and business-facing work (such as requirement gathering and prioritisation of requests). It also includes responsibility for underlying work such as data cleansing and documentation.
Responsibilities
Here are key things you’ll do as the Lead Data Scientist at Travelex. The list isn’t complete: as a competent data scientist, you’ll bring to Travelex your own ideas of what else is needed to become a world-class data-driven business.
Liaise with business stakeholders to understand their analytical needs and convert it into data science tasks
Work with technical stakeholders to obtain relevant data and improve the data
Work with data engineers and analysts to agree data formats, prepare data for analysis and specify outputs
Use a wide range of machine learning techniques to explore data, extract insight from it, and train models
Use a wide range of statistical techniques to understand correlation and causation
Automate your work to create live tools, models, reports and dashboards
Undertake experiments of new AI techniques and use cases
Work with other data leaders (e.g. Head of Data Architecture, Data Intelligence Manager and Lead Data Engineer) to prioritise and plan work across the data teams
Provide line management, coaching and mentoring to more junior data scientists
Provide expertise in ML model training, validation, testing and release
Keep up-to-date with the rapid development of data science tools and techniques, and share this knowledge with others
Enhance data collection procedures
Develop and automate processes for anomaly detection
Develop and automate processes for testing the performance of business processes such as marketing campaigns
Create new ways to test the integrity and quality of our data
Present your analysis and the conclusions from it to stakeholders in a clear manner
Requirements
Below are key requirements from our Lead Data Scientist. You don’t need to tick every box: success in our team is not limited to a fix list, but also depends on what else you bring with you.
Expert level in data science and AI, including models, algorithms, libraries and toolkits
Significant hands-on experience with Python and the common data science Python libraries
Significant experience with data science on AWS
Proficiency in querying SQL and NoSQL databases
Ability to explain complex issues in simple terms
Good ability to present insight graphically to maximise clarity
Excellent analytical and problem-solving skills
An engaging, motivating and supportive team player
The ability to learn new tools, languages and methods quickly.
Good understanding wider concerns such as security and compliance
The curiosity to understand the business, its requirements and culture
Enjoys staying up-to-date with the latest advancements in data science, exploring new techniques, tools, and methodologies, and implementing them to improve existing processes.