Data Science Analyst
Data Science Analyst
Posted on :
13-07-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
Job Title Data Science Associate
Since our launch in 2015 weve lent over 10bn to ambitious entrepreneurs up and down the UK. Thats led to the creation of over 40000 new jobs and over 29000 new homes and were not about to stop there. Were dedicated to helping trailblazing businesses thrive and our Debt Finance team are the drivers of our growth.
This is a fantastic opportunity to join a fast-paced growing bank with a reputation for doing things differently. We dont want another cog in the machine were looking for self-starters and bold thinkers who want to pave their own career paths.
In a nutshell the mission of the interns will join one of the Banks Credit (lending) teams and will analyze financial statements including key lending and credit risk metrics.
Are you ready to step up to the challenge
Responsibilities:
- Build Forecasting & ML Models: Develop and evaluate macroeconomic forecasting models time series regressions and machine learning models (including basic neural nets like RNN LSTM architecture).
- Statistical & Data Analysis: Apply and explain statistical concepts like regression correlation multicollinearity stationarity autocorrelation and model assumptions to non-technical teams.
- Data Engineering: Work with SQL to extract and manipulate data perform preprocessing and feature engineering tune models.
- Cross-Functional Collaboration: Work closely with business stakeholders domain experts and data engineers to define problems and deliver insights.
- 2-3 years experience in Statistics Machine Learning Time Series modeling and Python
Desired Skills:
- Bachelors or Masters in Statistics Economics Data Science Computer Science or a related field.
- Strong command over Python (pandas NumPy scikit-learn statsmodels) and SQL for data analysis modeling and manipulation.
- Solid understanding of regression time series forecasting model diagnostics and statistical tests (e.g. ADF autocorrelation VIF R RMSE)
- Experience with classical ML models and familiarity with basic deep learning architectures like LSTM or RNN.
- Comfortable working with small datasets where feature engineering and domain understanding matter most.
- Ability to explain complex concepts in simple terms and work effectively with both technical and non-technical stakeholders.
- Nice to have skills:
- Familiarity with version control (Git) dockers and AWS.
- Hands-on experience or foundational knowledge of LLMs GPT-based agents and Retrieval-Augmented Generation (RAG) workflows.
About OakNorth
- Small and medium-size enterprises (SME) are one of the biggest drivers of growth and innovation in economies all over the world. Despite these companies being a powerful force in the economy many SMEs find it difficult to raise capital during critical stages of their company growth. Traditional commercial lending is optimised to make loans that are either too small to be effective or too large and expensive to be practical. At OakNorth our mission is to help lenders fill this gap which we refer to as the Missing Middle. We are building a SaaS platform called the Credit Intelligence Suite which transforms commercial lending by helping banks build deeper relationships with their clients open new more profitable opportunities whilst delivering credit decisions up to ten times faster than traditional models with lower risk and greater efficiency.
Required Experience:
IC
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
