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Data Scientist

2 months ago

London, Greater London, United Kingdom Funding Circle Full time
Data Scientist - ML\/AI

The role

We are looking for a Data Scientist joining Funding Circle's newly formed Machine Learning and AI team composed of Data Scientists, ML Engineers and ML Ops Engineers.


Who are we?
Our mission is to build the place where small businesses get the funding they need to win.
We do this by uniting cutting-edge data and technology to deliver an unbeatable customer experience.

With a decade of expertise under our belt, we've built a game-changer of a platform that's reshaping the landscape of SME lending.

Say goodbye to lengthy applications and hello to lightning-fast decisions In just minutes, SMEs across the UK can get an instant decision, giving them access to affordable funding in a flash.

99% of businesses are small businesses And in most cases aren't given the finance they need to grow. We're here to change that because the world needs small business.
Want to learn more?

  • We have a huge impact on the businesses that borrow through our platform, the communities they serve and the overall economy (last year £6.9bn of GDP generated).

You can read our full Impact Report here:

  • To see what our customers think, visit our Trustpilot page:
  • And we're still evolving With over a decade leading the industry with our award winning core loans offering we are now well on our way to solving more SME finance challenges transforming into a multi-product lending platform. Data at Funding Circle

We firmly believe that data is our key asset and that everyone across the organisation has a part to play in making sure that we look after it, allowing us to better support our customers.

Our central data team lives in our tech org and reports to the VP of Data.
In order to strengthen our data maturity and become truly data driven we are committed to:

  • building a strong data culture where data is treated as an asset
  • empowering our circlers to become highly data fluent and confident self serve users
  • enhancing our world class data platform
  • creating data products across all domains
  • transforming our business with ML & AI What will you be doing?
  • Develop and

Implement Machine Learning Models:

Design, develop, and deploy robust machine learning models and algorithms to solve complex business problems, with a focus on enhancing various aspects of Funding Circle's operations and decision-making processes.

Make use of Generative AI models and services when necessary.

  • Feature Engineering and

Data Preprocessing:

Engage in feature engineering and data preprocessing activities to ensure the quality and relevance of input data for machine learning models.

Implement strategies for handling missing data, outliers, and other data quality issues.

Model Evaluation and Optimization:
Evaluate the performance of algorithms and models using appropriate metrics and iterate on models to improve performance. Implement optimization techniques to enhance model efficiency and scalability.

Communication of Results:
Effectively communicate complex technical concepts and findings to both technical and non-technical stakeholders. Present insights and recommendations in a clear and concise manner to drive informed decision-making.

Mentorship and Knowledge Sharing:

Actively participate in knowledge sharing within the Machine Learning and AI team and the wider data team, providing mentorship to junior team members and contributing to a collaborative and learning-oriented environment.


Cross-Functional Collaboration:

Work closely with other teams within the Data department, as well as across different business units, to understand their needs and provide data-driven solutions.

Collaborate with ML engineers, product managers, and domain experts to integrate machine learning and advanced analytics solutions into existing systems.

Collaborate with ML Ops and Platform Engineers to help design repeatable ML workflows and tools.
What we're looking for

As a Data Scientist, you will be the most business focused of the three roles in the ML and AI team.

In addition to performing R&D, you will support prioritisation of ML initiatives and ensure that ML is used effectively to produce business value.


  • Proven Machine Learning Expertise : Demonstrated experience in developing and deploying machine learning models, with a strong understanding of various algorithms, including supervised and unsupervised learning methods. Additional knowledge of GenAI is an advantage.

Software Development Skills :
Strong programming experience, ideally in Python. Ability and willingness to work alongside machine learning engineers on the production implementation of algorithms and machine learning models. Experience working on production applications with software developers is an advantage. The role will require working in close contact with production systems, and quality software engineering practices are essential.

  • Data Manipulation, Analysis and Feature Processing : Proficient in data manipulation and analysis using tools like Pandas, Polars, NumPy, and SQL. Ability to work with large-scale datasets and extract meaningful insights. Experience in feature engineering and data preprocessing to optimise input data for machine learning models. Ability to handle data quality issues and outliers effectively. Solid understanding of statistical concepts and techniques for modelling.

Problem-Solving Skills :
Strong analytical and problem-solving skills to address real-world business challenges. Practical and outcome driven mindset.

Collaborative Team Player :

Strong interpersonal and communication skills and the ability to work collaboratively in cross-functional teams, both non-technical (domain experts) and highly technical (software, data and platform engineers).

Practical mindset with a focus on team outcomes.

Continuous Learning and Adaptability:
Commitment to staying updated on the latest developments in data science and machine learning. Ability to work in a fast paced, high innovation environment. Why join us?

Our Circler proposition is designed to support employees both in and out of work, and it is anchored around four pillars: Health, Wealth, Development & Lifestyle.


This role can be office or hybrid based (2-3 days per week).

When you're in the office you can take advantage of our free barista and subsidised lunches through JustEat and we will help support your home working set-up.

We support flexible working arrangements so please speak to our recruitment team if this is something you'd like to learn more about.


A few highlights:

Health:

Private Medical Insurance through Aviva, Dental Insurance through Bupa, MediCash, free access to online therapy sessions via Spill and exclusive discounts with Hertility for reproductive health support.


Wealth:
Octopus Money Coach, free mortgage advisor partnership and discounts across numerous retailers through Perks at Work.

Development:
Learning allowance and full access to our comprehensive internal learning platform.

Lifestyle:

Gympass, Electric Car Scheme and more And finally, we have enhanced all of our parental leave policies - we actually won the AltFi Award for Diversity, Equity and Inclusion Initiative of the Year 2022 for our Partner Leave policy.


You can read more here:

Research shows that some people are less likely to apply to jobs unless they meet every single criteria.

At Funding Circle we are committed to building diverse teams so please apply even if your past experience doesn't align perfectly with the requirements.

You might just be the perfect addition to the team

Want to Build The Incredible? We'd love to hear from you.