Vitality

Data Scientist

HM Revenue & Customs

• Developed an R package to obtain samples of data necessary for an internal compliance program, and presented the work to over 200 people
• Built an ML model to identify tax non-compliance
• Provided guidance to a student (via frequent catch-ups) who also worked on the ML model

Cabinet Office

•	Created a presentation analysing the impacts of Covid-19 on major government projects, distributed to project management heads and managers of 125 major projects, including HS2 and Universal Credit.
•	Implemented clustering (via R) to identify similar Government projects which new projects could learn from
•	Built an ML model to predict the likelihood of a project failing

Department for Business, Energy and Industrial Strategy (BEIS)

•	Developed a method to estimate the savings of energy efficiency measures e.g. smart meters
•	Created a pipeline (via R) to automate the production of UK Energy Consumption statistics
•	Produced statistical publications on the Energy Company Obligation (ECO) in Excel and SAS

Statistician

La Barbe

Waiter

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 3 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!

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Data Scientist | Helping UK Data Scientists Find Their Next Challenge Via Social Skills | Clients Average a £19,200 Pay-Rise

Applying for another Data Science Job?

Don't bother tailoring your CV.

You should have a clear idea on the role you're excited about

(e.g., Data Scientist, Data Analyst, ML Engineer)

So each role you apply for is the same.

This means you can use the same CV for each application!

This helped my client Harry get his dream job at Vodafone.

Need helping figuring out your next role?

I share (free) insights like this in my newsletter:

https://lnkd.in/eTAmRsDu

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

And I only applied for 10 jobs.

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

Don't apply for 100s of Data Science Jobs.

Focus on 10:

If you apply to everything available, you'll never stand out -

There's 100s of jobs listed, all in different industries.

You need to think about the sort of problems you want to work on.

(So you're excited about the jobs).

Then ruthlessly target companies where you can do that.

My client Theo used to 'pray and spray' applications.

He applied for 17 roles without any interviews.

Once we helped him take a more targeted approach, he got results.

He applied for 5 roles, got 2 interviews and 1 job offer. 

Stop applying for every job under the sun.

You need a targeted approach.

London Data Scientists:

Tired of getting rejection emails?

71% of my clients have found new roles within 3 months.

With an average pay-rise of £19,200.

Want similar results?

DM me 'Challenge'

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