Dear Hiring Manager,
I am applying to your graduate scheme for the data science track, fresh out of my degree and keen to learn the craft properly inside a real team. I know a scheme is about potential and coachability as much as current skill, so I want to show both a solid base and a clear appetite to be taught. My strongest piece of evidence is a final-year project where I analysed activation cohorts, caught a biased funnel read, and changed the recommendations I gave the product owner.
A graduate hire has to be easy to mentor and useful before too long, and I have tried to set myself up for both. The scheme asks for statistical judgement, SQL fluency, a feel for experiment design, and clear recommendations, and my coursework and project work have pushed me hardest on exactly those. I am not pretending to be senior, I am showing that I already reach for the right questions and that I take feedback well.
That project used Python, SQL, scikit-learn, and a bit of experiment design, but the part I would want to talk through is the moment I realised my first funnel read was biased. I went back, corrected the cohort definition, and changed the recommendation rather than defending the tidy answer, which is the habit I most want to keep building under proper supervision. The numbers were small, but the reasoning is the bit I am proud of.
I would be glad to discuss the project, the mistake I caught, and what I would want to learn first on the scheme. Data science screens test whether evidence changes decisions, so I will keep the letter honest about where I am and clear about where I want to grow.
Yours sincerely, Alex Morgan