Lead Data Scientist - Contact Automation

Were looking for a Lead 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 Wises mission and millions of our customers.

About the Role: 

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 nearterm 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. 

Heres how youll be contributing:

• Customer Problem Understanding System Development
  • Analysing contact data to identify patterns and uncover underlying structures
  • Creating automated algorithms for extracting information from real customer interactions
  • Developing the systems ability to learn which data points are key to resolving specific customer problems
  • Innovating prompt development to optimise the performance of LLMbased parts of the system and background processes
  • 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
  • Finetuning system settings to achieve an optimal balance between precision and recall
  • Providing datadriven 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
  • Maintaining productiongrade Python services

A bit about you: 

• Demonstrated experience in developing and deploying productiongrade Machine Learning or Data Science solutions that operate at scale and directly shape the user experience ideally forming the core of user interactions.
• Prior experience building solutions within the Customer Support and/or Chatbot domain is highly advantageous with experience in the FinTech sector being a significant plus.
• 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 welldesigned experiments;
• A strong product mindset with the ability to work independently in a crossfunctional and crossteam environment;
• 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):  

• Handson experience training Neural Network models and deploying them into production
• Familiarity with automating operational processes via technical solutions for example Large Language Models
• Willingness to get hands dirty reading many many historical chat transcripts
   

Were people without borders without judgement or prejudice too. We want to work with the best people no matter their background. So if youre passionate about learning new things and keen to join our mission youll fit right in.

Also qualifications arent that important to us. If youve got great experience and youre great at articulating your thinking wed like to hear from you.

And because we believe that diverse teams build better products wed especially love to hear from you if youre from an underrepresented demographic.

Additional Information :

Key benefits:

• Stock options in aprofitable company
• Hybrid working model whether its working from home working overseas school plays or life admin we get that flexibility is essential 
• Annual personal development budget whether its for books courses or conferences
• Visa and relocation support 
• You can read more about our full benefits package here.

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

Were 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 its like to work at Wise visit .

Keep up to date with life at Wise by following us on LinkedIn and Instagram.

Remote Work :

No

Employment Type :

Fulltime

Key Skills
Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills
Experience:years
Vacancy:1