Senior Data Science Analyst

Responsibilities:

• Design, implement, and evaluate macroeconomic forecasting models, time series regressions, and machine learning models (including basic neural nets like RNN, LSTM architecture).
• Apply and explain statistical concepts like regression, correlation, multicollinearity, stationarity, autocorrelation, and model assumptions to non-technical teams.
• Work with time series, panel, and structured tabular data and perform feature engineering, data cleaning, and model validation.
• Work with SQL to extract and manipulate data, perform preprocessing and feature engineering, tune models.
• Work closely with business stakeholders, domain experts, and data engineers to define problems and deliver insights. Present insights and model performance clearly to technical and non-technical stakeholders
• Optionally, experiment with deep learning or generative AI models for internal R&D use cases

Required Experience:

• 7-8 years' experience in Statistics, Machine Learning, Time Series modeling, and Python

Desired Skills:

• Bachelor’s or Master’s 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.
• Experience with real-world tabular datasets and business problem-solving
• Strong applied knowledge of:
• Supervised learning (linear/logistic regression, decision trees, ensemble models)
• Unsupervised learning (K-means, DBSCAN, hierarchical clustering)
• Evaluation metrics, cross-validation, feature importance
• Solid grounding in Statistics
• Probability distributions, statistical inference, hypothesis testing
• Time Series modeling
• 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:
• Deep learning experience (e.g., PyTorch, TensorFlow)
• Familiarity with version control (Git), dockers and AWS.
• Exposure to GenAI concepts or LLM APIs (OpenAI, HuggingFace, LangChain)

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. 




• Our Investors
• OakNorth Holdings (the parent entity of OakNorth Bank plc and ONci) has an equity base of over $1.2bn, our investors include:  GIC, SMBC, Toscafund, Coltrane and SoftBank’s Vision Fund – as well as founders of highly successful scale businesses.   


• Our Customers
• In addition to OakNorth’s own bank in the UK, the software is also being deployed by US banks, including: Fifth Third, PNC, M&T Bank, Huntington, and Old National Bank.      
• For more information regarding our Privacy Policy and practices, please visit: https://www.onci.com/privacy