Lloyds Banking Group Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 56 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Lloyds Banking Group.
Lloyds Banking Group
Data Scientist
Senior Average Negative experience No offer 3 rounds
Interview process
Recruiter call Technical screen Background check
Interview formats
Behavioral Technical System Design
It started with a quick chat with a recruiter about basic stuff like location, job title, pay, and your general tech/leadership background. A bit of a strange start because they hadn't quite settled on job titles and pay grades yet. I was offered a role at a lower pay band than advertised (£71k), and only found out the lower band was £53k when I specifically asked - quite a significant difference. Then, there was a one-hour interview with two engineering folks. About 20-25 minutes was spent on a data design problem, focusing on metrics and anomaly detection. The other 30 minutes involved five questions related to their values, centered around my data experience. The way they asked questions was a bit unclear and misleading; they asked very broad questions, initially telling me to focus on the overall process and my actions, but then immediately saying my answers were too high-level and they wanted specific metrics, success criteria, methodologies, and actual numerical results. This was mentioned multiple times, even though they also brought up timekeeping several times. Six minutes per value question isn't much time for such detailed answers, especially for a senior technical role. The values-based questions about data didn't seem to naturally fit the categories they listed online, making it hard to provide relevant examples based on the website info. Also, at least three of the values were very similar, so you need plenty of distinct examples. Trying to fit their questions into their stated values felt like a real stretch. They said I'd hear back in two weeks, but I got a generic rejection email in four days. Guess it was a definite no! I'd have found the interview easy if the questions hadn't been so vague and if the specific questions for their values had aligned better with data experience and their online descriptions. The whole approach didn't leave the best impression, but I'm glad it wasn't a drawn-out, stressful process with multiple tests and people involved for the same little feedback. Honestly, it feels like I dodged a bullet!
Confirmed questions4 questions
- Describe an end-to-end data design task, including classification and anomaly detection, emphasizing metric specification and anomaly detection.
- Tell me about a time you had to weigh up costs when designing a data pipeline.
- How do you approach engaging with stakeholders?
Lloyds Banking Group
Data Scientist
Entry Average Neutral experience No offer 4 rounds
Interview process
Technical screen Technical screen Recruiter call Recruiter call
Interview formats
Coding Technical Behavioral Behavioral
So we had coding tests with 2 easy-to-medium leetcode-like questions and 1 Medium-to-hard SQL query. Then there were data science and stats questions, mostly stats and traditional ML questions. It was followed by a behavioural part, similar to other companies. Lastly, a video interview, which was also behavioural.
Confirmed questions4 questions
- Tell me about a challenging accomplishment where you worked with others. What was your approach?
- How did you collaborate with others to achieve a difficult goal?
- Describe a challenging achievement and how you worked with others to get there.
Lloyds Banking Group
Data Scientist
Senior Easy Positive experience Accept offer 2 rounds
Interview process
Technical screen Technical screen
Interview formats
Technical Behavioral
The interview process had two parts: a technical interview and a soft skill assessment. The technical part was pretty easy, touching on general data science stuff but not too deep. The second interview seemed to be about seeing how I'd handle tough situations. All in all, it was a pretty good and direct process.
Confirmed questions1 question
- Could you explain some data science concepts like classification, PCA, and NLP?
Lloyds Banking Group Data Scientist Interview Questions
Quoted word for word from Lloyds Banking Group interview reports.
“Which of these is not an example of supervised learning: PCA, Naive Bayesian, Linear Regression, or Decision Tree?”
Read reports →“What are the best ways to evaluate the results of specific statistical methods?”
Read reports →“Could you write a lengthy SQL query that links several flights together?”
Read reports →“What steps would you take to mitigate overfitting in a decision tree model?”
Read reports →“What are the risks associated with AI, and how should stakeholders manage its usage?”
Read report →“Could you write Python code for RAG, LLM, and Gen AI?”
Read report →“Can you explain an SQL query, with a focus on joins?”
Read report →“Describe an end-to-end data design task, including classification and anomaly detection, emphasizing metric specification and anomaly detection.”
Read report →“What are your views on banks leveraging customer transaction data for personalized offerings?”
Read report →Formats, difficulty and experience
Across all 56 Lloyds Banking Group interview reports.