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most people think that going from a data analyst to a data scientist is very hard
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and can take years however one of my recent clients billy
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did this transformation in just two months billy joined my program on may 1st
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and his goal was to land a senior data scientist position at global
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or big company at that point in time billy has sent in over 30 applications
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and didn't hear anything back he didn't know how to effectively communicate
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and portray his skills on his LinkedIn
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and resume he also didn't know how to communicate through recruiters during the interview process
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and finally he didn't really fully understand how to position himself for these data science
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and machine learning roles that he was targeting
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but over the next couple of months Billy
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and I worked very closely together to address
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and solve these problems one by one Billy worked very hard every single day listen to the feedback
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and then two months later he got offered a senior data science position at a global established company
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and his total compensation went up by 30k usd how quickly
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did it take you to get an offer out of curiosity i mean i know
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but just like how quick was that process in terms of
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when you start refining things to when you start getting offers it's uh one and
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and a half months yeah it's much much I'm honest it's
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much much than I expected yeah yeah I gave myself six
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months yes to land my first author yeah yeah Billy is an absolute legend
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and was a complete pleasure to work with in fact he's still in the program improving his skills even further
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so in this video I want to break down the exact three -step system
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that Billy followed
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and is also a system I I've followed with all my other clients to help them land their dream data
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or machine learning role.
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Let's get into it.
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So like I said Billy joined my program on May 1st
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and he had so many questions about essentially how should he actually go from a data analyst to a data scientist.
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At this point in time Billy had been working for just
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over five years at an established big company here in the uk
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and before that he was a journalist
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so he spent most of his time at one company
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and what he told me is that he enjoyed his work
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but he felt a bit stagnant uh there wasn't much growth
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and he was just a little bit he wanted something more exciting
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because he wanted his career to really kick on
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and reach those higher tier companies that he was after
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when billy joined he asked questions like what type of data
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science role should i target what kind of companies should i focus on
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and can he move industries from media to other industries these are all great questions
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and we started off by fixing his positioning
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which was exactly in the first week so a thing I like to say
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and it goes back to marketing is that
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if you appeal to everyone you appeal to no one
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and the same is true in this data field right I've
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had people come to me who say there are a data analyst a data scientist
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and a machine learning engineer not not even joking I literally had someone last week who had this exact profile
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and I tell them you're not you can't be all three it's like saying you're a dentist a doctor
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and you're also a psychiatrist you're just not right
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and unfortunately you have to be specific and niche down in a particular area
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so that you kind of swallow the market in
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that let me show you an example so when someone asks me eagle you know what is your positioning?
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What is your niche?
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This is what I say.
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I'm a machine learning engineer with over five years experience in the energy insurance and logistic industries, specializing in time series forecasting,
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operations research, and apply machine learning.
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It's very crystal clear and very specific, but that's deliberate because whenever someone LinkedIn searches machine learning engineer,
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time series, optimization, London, I'm the first hit.
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I swallowed the market in my positioning
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and that's what enabled me to basically get offers fairly easily
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because i'm the top here i don't go to people people come to me right
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and this is the exact positioning i nailed every single client
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as soon as they come into my program i literally sit down with them for half an hour
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and i draft them out this two -centage summary so they're
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so they are crystal clear on their positioning
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and we did did this exact same thing for billy
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and then billy's summary was journalists turned data scientists with five plus years of experience building machine learning forecasting
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and statistical models across media products identifying 50 million pounds in revenue opportunities
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that is just phenomenal summary right like when you hear
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that you'd be like yeah this guy's good right he's condensed
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that his revenue his specialisms and his industries
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and also noticed he started already calling himself a data scientist you know before
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that billy was a data analyst with some you know data data science work but we literally
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or I literally forced him to call him a data scientist
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because once you assume that profile and you kind of have
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that goal and everything else you kind of tailor to
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that it's like a mindset shift and you just assume
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that identity and you just approach interviews applications in
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that frame it's a real powerful psychological trick and like I said
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that summary we just drafted Billy is very specific right like we mentioned his specialisms we mentioned
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that he's in the media industry mainly and
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that he's you know generated 50 million pounds in revenue i
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mean like why wouldn't you want to hire this person particularly
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if you're after someone in those industries it's just the positioning is
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so nailed down that no wonder billy got a job
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so quickly so after we got
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that fleshed out billy then went on to update his resume
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and his linkedin accordingly with that positioning
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and as you can see from my comments here below on his resume review
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that i gave him
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that i was actually blown away by his resume now drafting a good resume is actually not that hard
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and what it comes down to is people literally putting in
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effort right it's just effort you know i've told many people i've got loads of videos on this channel
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that your resume should have this this and this people still don't do it
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but billy he literally listened to what i told him he literally went through every checklist i gave him
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and he executed literally to the T, right?
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That's why I was blown away because his resume was phenomenal.
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But Billy's not an exception.
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All of you can do this.
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It's more that are you willing to put in 10 hours of work to create a really good resume?
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What Billy did exceptionally well was that every bullet point in his experience section was phenomenal, right?
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So he hit on everything.
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He explained exactly what he'd done clearly in English.
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He added technical terms to show his knowledge, but he added them in organically he keyword padded as well
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so not only did he have technical terms but he also added keywords
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but he added them in a way
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that didn't seem like he was stuffing them in
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but they were added in very naturally he mentioned the metrics
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and the numbers he improved and finally he stated the exact financial
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and business impact of his work
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which the main thing let me give you an example i'm
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sure billy won't mind me sharing this from his resume of an experience bullet point like this is just fantastic.
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So listen to this very closely.
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Implemented a Bayesian probabilistic license fee uplift model using Monte Carlo simulation, beta distributions and PERT analysis,
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projecting a 900 % increase in detectable unlicensed accounts,
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27k additional cases monthly and a 15 million annual revenue opportunity.
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Deployed this model end -to -end pipeline with apache airflow and
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and aws redshift just wow i mean it sounds impressive right
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he built the model i understand what it did it had a metric improvement had a financial improvement
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and he deployed it end -to -end like these are the bullet points we should all aim for
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and no wonder
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if you write something like this on your resume someone be
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like yeah again this guy knows what he's talking about
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and that's the standard we want to adhere to
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and the fact is billy did it so perfectly that
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because the competition not gonna lie to you is quite low no wonder he was able to land the role
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so quickly because he just executed on the 80 of things
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that most people just don't do
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and a second thing is to polish my linking profile
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and cv yeah because before i joined this program i applied for uh dozens of jobs
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and uh the conversion rate if i can put it that way the conversion rate was quite low, if I'm honest.
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But that was because I was not communicating my experience very effectively on my profile and my CV.
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And Billy took this exact same framing and impact to his LinkedIn.
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And literally within the first, I think, four weeks, he immediately started landing inbound interviews.
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In fact, one of his first interviews, which was 27 days later from joining my program was at Spotify right Spotify this is a company
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that people dream of getting into
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and Billy got it simply within four weeks just by being
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very precise in his positioning nailing his resume in LinkedIn
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and just really applying himself right and there's no secret he got
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that because he was working very hard and taking on feedback
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and just listening to everything we were working through
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and again Spotify interview in four weeks that's some people's dream
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so after there'll be fixed positioning resume in LinkedIn we then had to get those interviews
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but at this point in time Billy was smashing through interview requests
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or at least inbound and both outbound from recruiters he was getting
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so many interviews it was actually crazy in fact Billy was landing interviews at companies like PayPal Amazon
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and TikTok within a month
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and a half of joining my program I asked Billy like
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why did why did he think he was landing all these interviews
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and this was exact words he repositioned himself from analyst to
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scientist makes sense he added all those revenue numbers on his cv resume
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and he started dming recruiters and general colleagues at these companies using our referral templates
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and as you can see from the screenshot this is you know i'm not saying we're the best
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but like i like to think we know what we're talking
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about billy said verbatim just like what you said guys just do it these things work
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and during this program uh one thing very important is to always put revenue numbers on the cv right yeah and
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that really helped me uh to land a lot of interviews
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really a lot well i like to think well i do know what i'm talking about
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but when you actually fully commit
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which what billy did to the program he listened to everything
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we told him he went through the steps we worked together
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closely he asked for consistent feedback i'm not taking anything away from billy he worked very hard
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but he applied everything we told him
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and he also learned what worked for him there's no wonder
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he got results what kind of stops people in a job search is commitment
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and simply being like i am going to do this no
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matter what i'm going to listen i'm going to take the
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feedback on board i'm going to go through the emotions most people have drama problems
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and what i mean is most things in life are drama problems
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or maths problems and majority of things
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that happen to you are honestly drama problems like you know i can't refer i can't reach out for referrals
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because it's transactional
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or I'm shy you know oh I don't know any numbers
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on my resume like none of my work was linked to business impact these are simply excuses
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and Billy didn't have any right he just said okay
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if this is what I need to do I'm going to
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do it he didn't think about it he was like okay
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Igor told me to do this it's working for me
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so let me carry on doing it
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and that's of what you need to do the job search
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is hard getting a data science job is difficult it requires
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a lot of work we get paid 100k a year here
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in the uk 200k a year in the us it's not a walk in the park
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but if you leave your emotions out of it you approach it very objectively you will make progress
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because you won't have that drama thoughts in your head with all these interviews
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that billy was landing he even's dming me keeping me up
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to date with all the ones he was getting through the
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pipeline he was literally getting a brand new inbound from top companies reach out to him almost every single day
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and he was just completely crushing it
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but at this point he was landing these interviews
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but again that's only really half the battle once you land
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these interviews you also need to understand how to convert them to act well first you need to pass them
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and then learn how to convert them to offers with all of these interviews
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that billy was landing we did mocks for recruiter screen hiring manager coding interviews case studies
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and behavioral we literally did 10 mock interviews in just three weeks so
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that billy felt prepared for all of these interviews he was
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facing at multiple companies to be fair to billy i i
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imagine it was exhausting like preparing for his interviews he also
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has you know i hope he doesn't mind me saying a
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full -time job a family like he had everything going on
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yet he still managed to make time for applications recruiter reach out networking
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and also do 10 mock interviews with mean three weeks
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and you know i say again billy is a superhero in a way
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but he just really wanted the outcome
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and there's no wonder he got it right and
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so we did mock interview practice for all of these interviews consistently
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and he took upon the feedback
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and he started passing through the interview rounds paypal's coding round
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tiktok's coding round um a lot of the recruiter screens of
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these companies he was just smashing through um the interview rounds simply from doing practice applying the frameworks
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and guides we gave him and just again leaving the drama out of it
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and just thinking about this process completely objectively not only did we practice the interviews
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but we also worked on how to actually communicate with recruiters throughout the interview process you see most people think
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that after you do an interview that's it right in reality it's like a date you know
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if i'm a man and uh
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and uh let's say i go on a date with a girl i would always ask
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if she got home safe right likewise
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if you're a girl probably the same thing right not only
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did we do mock interviews we also practiced on how to
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actually communicate with recruiters interviewers in between interview rounds is where you want to keep contact
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and what that means is sending them a follow -up email saying how much you enjoyed talking to them
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and the ideas you have so one thing is basically just how to respond to recruiters
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because before I joined this program I didn't really have much experience working with
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and also answering questions from recruiters yeah so I think it really helps
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because I can just get feedback from the community
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and also I can also directly message you
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and then you gave me some very useful feedback and
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so I knew how to like just respond to questions
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that recruiters were asking just keeping our communication warm for the next interview
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and this is exactly what billy and i worked with to ensure
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that he was progressing through these rounds with more we basically
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had a higher chance of progressing through the interview rounds
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so again billy took on all his feedback executed on the frameworks
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and then two months later he landed a senior data scientist role at a global company
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that like he said is somewhere he definitely really wants to be
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and he also got a 30k increase in total compensation
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and i guess your role now is a role you wanted
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or like i mean you have to give the exact specifics
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on title well company title like any sort of responsibilities
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or like the type of role you've got is something you're you're with
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or is that what were your feelings about
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that yeah definitely i'm completely happy with this yeah
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because in our first call in our initial call i said
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i wanted to find a uh senior a data scientist role in a big company global company yeah yeah
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and i also want to do more machine learning in my day today
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and this role that i've got checked all of the boxes
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that i just mentioned is a it's a massive global company
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and also i will be doing a lot of machine learning deploying models
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so again billy you are a great person to work with you're a fantastic individual
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and he's even now carried on learning
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and pushing himself to you know improve even more so
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that way next time
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when he's looking for another role he knows exactly what he needs to do
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and he's kind of like learned this process very well this process
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that we followed with Billy is not necessarily unique to him it's a system
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that we've used to help land over 55 data professionals
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and machine learning professionals in their dream role and
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if you're interested in exactly
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and in detail how this system works then i recommend you
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check out this video where i literally break down the whole process in 90 minutes i'll see you there
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Vocabolario e note di pronuncia per questa lezione
Questa lezione di conversazione di livello C1 si basa sul video “How to Land a Data Science Job in 2 Months”. Le parole che ritornano più spesso: billy, interview, resume, role. Questo video contiene 261 frasi e 3123 parole da ripetere con lo shadowing. Il parlato dura 17:13. Chi parla va veloce, circa 181 parole al minuto: aspettati suoni legati e ridotti. Il 83% delle parole rientra nelle 3.000 più comuni dell’inglese; conviene studiare le altre prima di iniziare.
Vocaboli chiave di questo video
Le 15 parole più avanzate del video, con pronuncia e significato:
| Parola | Pronuncia | Significato |
|---|---|---|
| mock verbo | /mɑk/ | parodiare, imitare |
| deploy verbo | /dɪˈplɔɪ/ | dispiegare, collocare |
| phenomenal aggettivo | /fɪˈnɒmɪnəl/ | fenomenale |
| recruit verbo | /ɹɪˈkɹut/ | arruolare, reclutare |
| execute verbo | /ˈɛksɪˌkjuːt/ | giustiziare |
| keyword sostantivo | /ˈkiː.wɜːd/ | parola chiave |
| objectively avverbio | /əbˈd͡ʒɛktɪvli/ | oggettivamente |
| niche sostantivo | /nɪt͡ʃ/ | nicchia, edicola |
| swallow verbo | /ˈswɑ.loʊ/ | inghiottire, ingerire |
| metric aggettivo | /ˈmɛt.ɹɪk/ | metrico |
| smash verbo | /smæʃ/ | frantumare, sfracellare |
| forecast sostantivo | /ˈfɔːkɑːst/ | previsione |
| airflow sostantivo | corrente, corrente d'aria | |
| condense verbo | /kənˈdɛns/ | condensare |
| detectable aggettivo | /dɪˈtɛktəbəɫ/ | rilevabile |
I phrasal verb che sentirai
| Parola | Pronuncia | Significato |
|---|---|---|
| go through verbo | attraversare | |
| blow away verbo | spazzare via | |
| check out verbo | investigare | |
| get through verbo | /ɡɛt ˈθɹu/ | superare, farcela |
| go up verbo | salire | |
| pass through verbo | trapassare | |
| reach out verbo | protendersi |
La grammatica di questo video
Le strutture che chi parla usa di più, con le parole esatte del video:
| Struttura | Nel video |
|---|---|
| Forma passiva be + participio passato — conta ciò che accade, non chi lo fa | was actually blown · was blown · were added |
| Present perfect have/has + participio passato — un’azione passata che conta ancora adesso | has sent · I've followed · i've told |
Pronuncia a cui fare attenzione
Chi parla usa 61 contrazioni e forme ridotte, come I'm, you're, didn't. Pronunciale nella forma breve, così come le senti.
- I suoni “sh” e “zh”: smash /smæʃ/, redshift /ˈɹɛdˌʃɪft/, specialize /ˈspɛʃəˌlaɪz/, transactional /trænˈzækʃ(ə)nəl/, optimization /ˌɑptəmaɪˈzeɪʃən/
- Parole lunghe — attenzione all’accento: phenomenal /fɪˈnɒmɪnəl/, objectively /əbˈd͡ʒɛktɪvli/, detectable /dɪˈtɛktəbəɫ/, organically /ɔːˈɡænɪkli/, probabilistic /ˌpɹɑ.bə.bɪˈlɪs.tɪk/
I suoni difficili per chi parla italiano:
- /h/ — va soffiata, non è muta: adhere /ædˈhɪə/, superhero /ˈs(j)upɚhɪɹoʊ/, behavioral /bɪˈheɪvjəɹəl/
- Consonante finale — senza aggiungere una vocale dopo: mock /mɑk/, analyst /ˈænəlɪst/, inbound /ˈɪnbaʊnd/, recruit /ɹɪˈkɹut/, execute /ˈɛksɪˌkjuːt/
- /æ/ — più aperta della “e”: analyst /ˈænəlɪst/, smash /smæʃ/, organically /ɔːˈɡænɪkli/, stagnant /ˈstæɡnənt/, transactional /trænˈzækʃ(ə)nəl/
Come esercitarsi con questo video
- Ascolta tutto il video una volta senza parlare e annota le parole che non conosci.
- Inizia a velocità 0,75×, fai shadowing frase per frase e torna alla velocità normale quando diventa facile.
- Registrati e confronta con l’originale, facendo attenzione a parole come mock, deploy, phenomenal.
Cos'è la tecnica dello Shadowing?
Shadowing è una tecnica di apprendimento delle lingue supportata da studi scientifici, originariamente sviluppata per la formazione dei traduttori professionisti e resa popolare dal poliglotta Dr. Alexander Arguelles. Il metodo è semplice ma potente: ascolti un audio in inglese di madrelingua e lo ripeti immediatamente ad alta voce — come un'ombra che segue il parlante con un ritardo di solo 1–2 secondi. A differenza dell'ascolto passivo o degli esercizi di grammatica, lo shadowing costringe il tuo cervello e i muscoli della bocca a elaborare e riprodurre simultaneamente i modelli di discorso reale. La ricerca dimostra che migliora significativamente la precisione della pronuncia, l'intonazione, il ritmo, il discorso connesso, la comprensione dell'ascolto e la fluidità del parlato — rendendolo uno dei metodi più efficaci per la preparazione alla prova di speaking dell'IELTS e per la comunicazione reale in inglese.