Data Scientist Review
at Department for Work and Pensions
Degree Apprenticeship
Data Analysis
Manchester
Review Submitted: February 2026
Overall Rating
4.8 /5
The Overall Rating is the average of all the ratings given in each category. We take those individual ratings and combine them into one final score!
5/5
-
Overview of Role
5/5
-
Skills Development
4.6/5
-
Structure and Support
Overview of Role
Please give an overview of your role and what this involves on a day-to-day basis:
5/5
• Ad-hoc analysis using SQL, Databricks, Excel and Python.
• Developing Visualisations and Dashboards using PowerBI.
• Process Mining to identify pain points and inefficiencies within claim journeys.
• Creation of a supervised NLP pipeline to label free text data.
• Time Series Analysis to predict claimant volumes.
• Working with a variety of stakeholders, providing insights to allow data led decision making.
• Developing Visualisations and Dashboards using PowerBI.
• Process Mining to identify pain points and inefficiencies within claim journeys.
• Creation of a supervised NLP pipeline to label free text data.
• Time Series Analysis to predict claimant volumes.
• Working with a variety of stakeholders, providing insights to allow data led decision making.
To what extent do you enjoy your programme?
5/5
Very supportive team. Excellent resources to learn, whilst also working!
Skills Development
Have you learnt any new skills or developed existing skills?
5/5
SQL
Python
PowerBI
Python
PowerBI
Structure and Support
How well organised/structured is your programme?
4/5
How much support do you receive from your employer?
5/5
How much support do you receive from your training provider when working towards your qualifications?
4/5
How well do you feel that your qualification (through your training provider) helps you to perform better in your role?
5/5
Are there extra-curricular activities to get involved in at your work? (For example, any social activities, sports teams, or even professional networking events.)
5/5
Recommendations & Advice
Would you recommend Department for Work and Pensions to a friend?
Yes
Why?
Excellent work environment.
Supportive team.
Good benefits.
Supportive team.
Good benefits.
What tips or advice would you give to others applying to Department for Work and Pensions?
Read the application requirements, and ensure you're answering the questions rather than being vague!
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