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Data Scientist (GenAI - Customer Identity)
Starling Bank

  • Manchester, United Kingdom
  • Full-time
  • Hybrid
  • No Salary Information Available
Posted 14 days ago

Starling Bank, a pioneer in digital banking in the UK, is revolutionizing the financial industry using fast technology and fair service. As a fully licensed bank operating with the dynamism of a tech company, Starling prioritizes simplicity and customer satisfaction. The Data Scientist will contribute to the bank’s mission by developing innovative solutions in customer identity and financial crime prevention, fostering a collaborative environment that values creativity and initiative.

In this role you can expect to have the responsibilities:

  • Develop and implement machine learning models to enhance decision-making processes.
  • Deliver data-driven solutions to boost efficiency across the business.
  • Collaborate with diverse teams to provide insights supporting business objectives.
  • Set up comprehensive model monitoring systems.
  • Create training and evaluation pipelines for accelerated model deployment.
  • Engage with engineering to gather valuable data for modeling.

This role comes with the following benefits:

  • 33 days annual leave, including public holidays.
  • Holiday for your birthday.
  • Increased leave with service length, with buy/sell options.
  • 16 paid volunteering hours annually.
  • Enhanced pension scheme.
  • Life insurance and income protection.
  • Private health insurance with mental health support.
  • Family-friendly policies.
  • Refer a friend incentives.
  • Perkbox membership for discounts and wellness resources.
  • Access to Cycle to Work, gym partnerships, and EV leasing.

This role requires you to have:

  • 3-4 years of Data Scientist experience.
  • Proficiency in Python.
  • Experience with machine learning and LLM application development.
  • Deploying Generative AI in GCP or AWS.
  • Monitoring generative model performance and coherence.

You would benefit from having:

  • Fine-tuning large language models.
  • Utilizing LLMs in mobile applications.
  • Working with open-source LLMs like Llama.

Starling Bank promotes a diverse and inclusive workplace, welcoming people from all backgrounds. The bank stands as an equal opportunity employer, valuing diversity, and does not discriminate on legally protected characteristics. The Privacy Notice details data processing involved in recruitment.

The content on this page is not written or managed by Alooba. Please reach out to Starling Bank directly for any addtional information regarding this role.

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