Senior Data Scientist - Contact Automation

Company Description

Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed.

Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their life easier and save them money.

As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere.

More about our mission.

Job Description

We’re looking for a Senior Data Scientist to join our Contact Automation team in London. 

This role is a unique opportunity to work on the intelligence system at the core of our contact automation system. Your work will make our system aware of the different problems our customers encounter and eventually develop the ability to help customers resolve these issues. What you build will have a direct impact on Wise’s mission and millions of our customers.

In the Support squad we are aiming to create a system that can power an automated “Wise Assistant” system that can answer most customer questions within the chat interface effectively, as well as support our agents in answering more complex questions. 

To achieve our targets we need to have applied this system effectively at scale, across the large majority of our contacts working seamlessly within the chat interface.

In the near-term our Data Science members are primarily focused on developing the foundation of the customer problem understanding system. There are many interesting research angles, especially within the NLP domain. 

Here’s how you’ll be contributing:

• Customer Problem Understanding System Development

  • Analysing contact data to identify patterns and uncover underlying structures

  • Developing custom features that enhance model performance by providing key signals

  • Creating automated algorithms for extracting information from real customer interactions

  • Innovating prompt development to optimise the performance of LLM-based parts of the system

  • Developing models to map customer contacts to defined structures

• Performance Testing and Optimisation

  • Evaluating our customer problem understanding system against internal and external benchmarks

  • Identifying and categorising system errors, and suggesting technical solutions to rectify these errors

  • Fine-tuning system settings to achieve an optimal balance between precision and recall

  • Providing data-driven insights on potential outcomes under various scenarios

• Operational Process Development

  • Collaborating with operational teams to refine processes, ensuring effective feedback integration into our automation systems.

  • Designing and managing projects that utilise excess operational capacity, such as manual data labelling for model improvement

• Enhancing Learning Processes

  • Integrating active learning strategies to continuously improve model accuracy through feedback loops

• Deployment and Implementation

  • Packaging algorithms into deployable libraries/objects and transitioning them from staging to production environments

  • Implementing and maintaining scheduled processes for data gathering and model retraining using automated pipelines

A bit about you: 

• Experience implementing, training, testing and evaluating performance of Machine Learning systems;

• Strong Python knowledge. A big plus for proven familiarity and experience with OOP principles;

• Knowledge and experience developing Unsupervised Learning methods;

• Experience with statistical analysis, and ability to produce well-designed experiments;

• A strong product mindset with the ability to work independently in a cross-functional and cross-team environment;

• Good communication skills and ability to get the point across to non-technical individuals;

• Strong problem solving skills with the ability to help refine problem statements and figure out how to solve them.

Some extra skills that are great (but not essential):  

• Knowledge and experience developing Neural Network models

• Familiarity with automating operational processes through technical solution, for example Large Language Models

• Willingness to get hands dirty reading many, many historical chat transcripts
   

Additional Information

For everyone, everywhere. We're people building money without borders  — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.

We're proud to have a truly international team, and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.

If you want to find out more about what it's like to work at Wise visit Wise.Jobs.

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