Junior Data Scientist

About Us:

Currently one third of the UK working age population are unable to access affordable credit. Through our state-of-the-art FinTech ecosystem, we, at Amplifi, are improving the nation’s financial health by making ethical lending via credit unions accessible to everyone in the UK.

Having already grown our new customer volumes by 5x in the last 2 years, we are currently one of the top 10 lenders in the UK unsecured personal loans market. With over 45,000 customers and 200m GBP portfolio, we’re already on course to be the biggest player in the UK credit union market by the end of 2022, and now aim to become the biggest player in the UK personal loan market for the near-prime segment.

With a team from UBS, Credit Suisse, Capital One, Barclay and Klarna we are over 150 people with a culture focused on ownership, collaboration… and fun! Our business is on an exciting journey, and we've managed to attract some amazing talent so far, but we're only getting started!

The Role:

At Amplifi, data lies at the heart of all strategies. We strongly believe that innovative use of data and AI is the key to delivering on our strategic growth objectives. We are always looking to push the boundaries of what can be achieved through intelligent use of data, and are constantly looking to incorporate new and disparate, sometimes unconventional, data sources and modern data, analytics and modelling technologies into our decision-making. As a Junior Decision Scientist your role lies at the centre of achieving this objective.

As a Junior Decision Scientist, you are expected to utilise your analytical and creative skills to support the development of Decision Science solutions. Day to day this role involves transforming, analyzing and building features and coding to generate insights that become part of Machine Learning solutions. You will be working within a small team to address challenges within Loans, Credit Cards and Fraud as well as addressing other ad-hoc challenges along the way. Whilst you focus on the specifics day-to-day you will be supported by experienced colleagues within the wider team and from across the breadth of the business. This role reports to a Senior Decision Scientist who is responsible for addressing one of the key challenges mentioned above. The role is expected to be significantly hand-on working with data with an increasing focus on modelling over time.

Responsibilities:

• Supporting data extraction, manipulation and feature engineering to address key business challenges.

• Explore large sets of structured and unstructured data from disparate sources, including new, and unconventional ones, and come up with innovative ways of using this data. Design appropriate tests to collect additional data, if required
• Contribute to, initially via feature engineering and later via modelling, development of modelling and machine learning solutions.
• Work with wider Data Engineering, Decision Systems and ML Ops teams to ensure suitable testing, validation and deployment of data manipulations and ML models in live environments and their ongoing performance monitoring.
• Create and maintain documentation for data extraction, manipulation and feature engineering codebases as well as creating suitable validation and testing processes.

Requirements

This is a junior role in a high impact role in a fast-growing business and hence the ideal candidate would be someone who is:

• Passionate about Data especially Analytics, Data Science. Experience of Modelling and AI is a bonus.
• Self-motivated and proactive; shows ownership and initiative - Not afraid of being hands-on and possess a roll-up-your-sleeves attitude to get things done

• Has excellent communication and stakeholder management skills
• Is driven to grow quickly

To be successful in the role, the candidate should:

• Preferably have a degree in a numerate (STEM) discipline or else have equivalent skills derived from self-learning / online courses combined with real-life modelling experience.

• Ideally have on the job experience in an analytical, modelling or Data Science or related disciplines. Experience in finance and particularly in retail credit/lending would be a bonus.
• Be a confident practitioner of probability and statistics.
• Understand basics of data pipelines
• Proven experience in SQL, coding using Python / R or other programming language

Benefits

• Competitive salary
• 25 days annual leave
• Private health insurance
• Sociable company
• Hybrid working (2 days from home)

Commitment:

We are committed to equality of opportunity for all staff and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships.

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