Data Scientist at Vitality | Posting about Tailored Projects to help you land your Dream Data Science Job | Clients increase salary by $10k+

At University, I applied to 12 internships, got 6 interviews and one job offer.

When I graduated I applied for 10 jobs and only received one interview. Fortunately I got that job.

I felt grateful for these opportunities. But they were a wake up call. A slight change in skills can be the difference between being jobless and landing a good paying job you love.

I didn’t like this job though, but I honed my skills anyway. I also got coaching to improve my people skills. And I learned exactly what employers want to see from interviewees (and employees). 

And it paid off. I battled multiple interviews and competed against 3 candidates in the final round to land my current job. One that pays me what I deserve. But more importantly, a job I love. One that challenges me and offers major growth opportunity. I was so proud to work for this company that I set my phone wallpaper to the company logo.
 
But many people aren’t as lucky. They end up in jobs that bore them, if they’re lucky. They’re underpaid and quit searching for new jobs because it’s too much work and never panned out in the past. And I plan to change that. I realized I have a skillset that can change lives. And even better, I have a process that anyone (in data science) can use to quickly prepare for interviews (and crush them). 

So I run a program which helps UK- based data scientists progress their careers and find higher - paying jobs with more rewarding work.

And it works: the average pay-rise of my clients is £18,200, and 71% of them get jobs within 3 months.

If you want to learn more about how I can help you progress your career and get your dream job, book a call here:

https://calendly.com/albyedw/the-confident-data-scientist-discovery-call

I've been a Data Scientist for 4 years.

Here's 3 lessons for you:

1.     Check, Check Again

Fancy modelling means nothing if you haven’t got good data. 

Poor data has come back to bite me more than Luis Suarez.

So plot some distributions, look for missing data and see how your features change over time.

If there’s anything suspicious get your data engineers on the line. 

2.     Can I get a question for ya

You’re doing data science to solve business problems.

Funnily enough your chief of analytics is thinking about those juicy £££ signs not what colour you use on your matplotlib chart.

And to produce good work it requires you to understand the business problem.

When you’re new to a company you’ll be lacking this.

So to learn it ASAP you need spam questions about anything you don’t understand.

This will identify the goal of any project, and also help you conjure up your own project ideas in the future.

3.     Parkinson’s law
 
 If you give yourself an hour to finish something it takes an hour.
 
 If you give yourself a day to finish something it takes a day.
 
 If you give yourself a week to finish something it takes a week.
 
 You can see where this is going…
 
 So set yourself some deadlines to make sure you’re delivering models and insights.
 
 Else your manager is going to start thinking what you’re doing all day…
 
 So check your data, ask questions and set deadlines to grow as a Data Scientist.

 If you found this advice useful, I share more advice around Data Science Careers in my weekly email newsletter:

https://lnkd.in/eTAmRsDu

Happy Data Sciencing!

Albert Edwards

Data Scientist | Helping UK & US Data Scientists Find Their Next Role | Clients Average a £19,200 Pay-Rise

I escaped my dead-end Data Science Job in Less than 3 months.

Without 100s of applications:

It's easy to think the more jobs you apply to.

The easier it is to find a job.

I took the reverse approach.

During my job search, I only applied for 10 roles.

Here's how I smashed the interview process and landed my current job:

1) Research the company

Learn their values, details on what their product does, find any relevant news stories

2) Research the interviewers

Discover if you share anything in common with them, so it's easier to relate to them.

It'll feel like you're chatting to an old friend. 

3) Prepare Interview Answers

Instead of memorising answers for every possible question

Brainstorm examples of good work I've done and plan what questions I could answer with those competencies

So don't focus on spamming lots of applications

Make fewer, higher quality applications, by:

1) Researching the company
2) Researching the interviewers
3) Preparing Robust Interview Answers

The biggest mistake job seekers make in Data Science?

They care too much.

If all you think about is finding a new job, you'll come across as desperate and needy.

You'll never be relaxed enough to pass an interview.

But there's more to life than Data Science:

- Church
- Friends
- Working out

Our annual church festival was one of my 2025 highlights.

And if you're ready to make 2026 your year?

I share more advice around finding jobs on my (free) newsletter

Get it here:

https://lnkd.in/eTAmRsDu

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