Data Scientist

Eden Smith Group; New Forest; Hybrid; GBP 30,000 - 40,000; Full time

Job summary

A leading financial services organization is seeking a Junior Data Scientist to join their innovative team. This role offers the opportunity to work on predictive modeling and loss forecasting while collaborating with experienced professionals. Ideal candidates will have a relevant degree and experience with Python and SQL, and will thrive in a fast-paced, data-driven environment.

Benefits

On site parking

Scenic office location

Hybrid working available

Qualifications

• Degree or equivalent in a numerate subject.
• 1 to 2 years experience in a data-driven environment.
• Familiarity with modeling techniques like logistic regression.

Responsibilities

• Develop predictive models for customer acquisitions and collections.
• Support loss forecasting for new business and existing portfolio.
• Explore new data sources and modeling techniques.

Skills

Attention to detail

Problem solving

Communication

Data analysis

Education

Degree in Mathematics, Statistics, Data Science, Economics, or Physics

Tools

Python

SQL

Excel

Job description

Are you a recent graduate or early career data enthusiast looking to kick start your career in data science? Do you want to work in a fast paced environment where you can make an immediate impact?

*PLEASE NOTE* - All Candidates MUST be able to commute ON-SITE to Seven Oaks, Kent 3 days per week. Public Transport is limited so IDEALLY candidate will hold a full UK drivers licence and own car.

We are hiring a Junior Data Scientist to join a collaborative and innovative team that is shaping the future of credit risk modelling and forecasting. This is a fantastic opportunity to work closely with experienced professionals and gain hands on experience in predictive modelling, loss forecasting, and machine learning, all within a growing, tech enabled financial services organisation.

The Role

You will be part of a small, high impact data science team responsible for:

• Developing predictive models such as scorecards and machine learning models for customer acquisitions and collections
• Supporting loss forecasting for both new business and the existing portfolio
• Exploring new data sources and modelling techniques to improve performance and accuracy
• Working with tools like Python, T SQL, and Excel to manage data workflows and build solutions
• Collaborating across departments with teams in credit risk, finance, capital markets, and operations
• Monitoring model performance and contributing to regular validation and compliance reporting

What you'll need?

• A degree, or equivalent experience, in a numerate subject such as Mathematics, Statistics, Data Science, Economics, or Physics
• 1 to 2 years of experience in a data driven environment, or strong academic project experience
• Familiarity with modelling techniques like logistic regression or basic machine learning
• A keen interest in data science and its applications in finance or risk
• Strong attention to detail and a problem solving mindset
• A confident communicator who can explain data insights to both technical and non technical audiences
• Experience with Python and SQL is essential, experience with AWS or model deployment is a bonus

Why work for us?

• Work in a high growth, data first business combining fintech agility with financial service rigour
• Be part of a collaborative and forward thinking team where your input matters
• Gain exposure to real world business problems and end to end model development
• Hybrid working available, with regular team interaction and support
• On site parking and scenic office location in Sevenoaks (a driving licence is helpful due to limited public transport)