The world is experiencing a data explosion like none that has ever come before. With every passing day, we’re creating more data than we ever did, more data than we really know what to do with.
Check this out for size. According to Forbes, in the past two years alone, we have generated more data than was ever in existence in the whole of human history.
Every second, there are 40,000 search queries on Google. Tally that up for a year and you have more than $1.2 trillion searches annually! And every one of those searches yields up data that gets snared, catalogued and flipped unto the rapidly rising piles of dusty data lying around.
Every minute, 300 new hours of video gets uploaded onto YouTube. On Facebook alone, people share more than 100 terabytes of data every single day. Lost amongst that sea of data, users send 31 million messages and view 2.7 million videos every minute.
There’s no easy way to break this to you. We’re drowning in a sea of data that we don’t really know how we’re supposed to use. 99.5% of that data collected never gets analysed or used.
Who can do anything even remotely useful with all that data? You guessed that right: data scientists. And you wondered what all the brouhaha was about data science jobs in Lithuania.
The truth is, even if they only gave us an opportunity to finally do something useful with all the data we’ve been creating, data scientists would be worth their weight in gold.
But with the almost ridiculous level of insight they can afford us with that data, you can just begin to understand why there’s such a ruckus about these professionals.
There’s plenty to be excited about with data science jobs in Lithuania. Drawing from our employment app MeetFrank, we’ll share all the juicy stats and data we have on the market for these jobs in the first half of 2019.
Data science jobs in Lithuania: An overview
Data science is expected to change the world as we know it. Even the most conservative estimates believe that it will bring about a fundamental difference in how humans do things going forward.
But it is not expected to do this alone. The vast majority of what data science can do, mowing through impressive data sets and wringing valuable insights free, is only possible through AI. And that’s where most of the global attention is.
From all reports, including the “Artificial Intelligence is the Future of Growth” report by Accenture, AI will help boost productivity, double economic annual growth rates and increase country-wide effectiveness.
According to a simulation done by McKinsey & Co., this AI-powered advantage will deliver a combined value north of $13 trillion by 2030 alone. An international buffet of such epic proportions that every country and region is scrambling to be in position for their share.
In the banking industry, data science and AI will deliver an annual 18% increase in revenue. In retail, popular names such as Starbucks and Amazon have radically improved their earning capacity through the introduction of data-fuelled AI.
Even corporate entities are striving to be in position, on the back of reports that companies able to harness the power of data-fuelled AI can increase their operating margins by a whopping 60%.
In 2019, following the lead of its peers, Lithuania also published its Artificial Intelligence Strategy. The aim of the strategy? “To modernize and expand the current AI ecosystem in Lithuania and ensure that the nation is ready for a future with AI”.
In other words, if you had designs on data science jobs in Lithuania, that’s basically the equivalent of a lifetime job offer.
Who are employers looking to hire?
The current trend of offers for data science jobs in Lithuania have been in favour of mid-level data science professionals. They were the most in-demand candidates over the first half of 2019.
Offers for senior and junior talent were quite some way back in second, while the least offers were made to entry talent.
The data seems to indicate either that the market currently prioritises experience or that there have been fewer entry level candidates on the market. The second possibility might provide the better explanation since data scientists are in very high demand, whether experienced or not.
Several companies have been actively hiring for data science jobs in Lithuania. Amongst the most active, we curated the top five, which include Intrum Global Business Services, Filippo Loreti, Convious, Cognizant Technology Solutions Lithuania and Protingieji kurmiai UAB.
Top 5 in-demand skills for data science jobs in Lithuania
One of the most important reasons why there is such a plenitude of demand over supply of data science talent is the sheer difficulty of acquiring the necessary skills. There are only a few people who have the required skill set to become complete data science professionals.
And even for those who have the necessary skills, finding their pick of jobs can still be as difficult, since many roles rely on a large amount of domain knowledge. For instance, you cannot really be expected to pick out interesting data about heart health if you have no idea about the significance of the different arteries and what they do.
While this challenge is more pronounced in some industries over others, it can often be a pain. Regardless, there are certain skills that employers generally require for data science jobs in Lithuania.
First of the top five is competence in the SQL database, required in 12% of job offers during the first half of 2019. Data Engineering and Data Analysis were second and third, with 11% and 10 of all offers respectively.
Analytics and Python made up the rest of the top five, as they were only required in 9% and 7% of offers respectively.
To seize the earning opportunity provided by data science jobs and truly earn high, candidates must be uniquely skilled. MeetFrank data indicates that to earn more than €2,500 a month, talent must be competent in Systems Administration, Systems Operations and SQL.
How much can you look to earn?
Average minimum salaries for data science jobs in Lithuania were €1,475 over the first half of 2019. The average of maximum salaries was much higher, at €2,887. The highest salary during the period was €4,940.
Entry level candidates started their earning journey with an average salary of €1,733 per month. Juniors earned a bit more, taking home €1,891 a month while mid-level data science professionals earned €2,349.
Seniors pocketed €2,662 a month and lead professionals earned an average of €2,778 every month.
The highest monthly average, €3,700, was recorded in January while the lowest average was €1,350, recorded in March.
To really make sense of data science jobs in Lithuania, you need to look closer at the market. On MeetFrank, you can find all the insights you need to figure out what companies will be interested in hiring you and what terms they can offer. Download the app for Apple or Android today to get started.
In 2012, when the Harvard Business Review described the job of a data scientist as ‘the sexiest job of the 21st century, they were only heralding what the world already knew. But it’s doubtful that even they could have anticipated the mad rush that has ensued for candidates in these roles since then.
As the constant, and almost feverish, demand for data scientists in recent times has shown, you can do a whole lot worse than decide to be a data scientist. Globally, there is an overwhelming demand for candidates in these roles, with McKinsey & Co predicting a global shortage of up to 1.5 million jobs in 2018.
And as you would guess, with great demand comes a potentially hefty pay packet and all the data to play with that you could possibly want. Considering the nice perks, data science jobs in Finland just may be the sexiest jobs around.
If you’re looking for the best tips on how to make headway in the sexiest job in the 21st century in one of the most stylish countries in the world, we have the stats and facts you’ll want to know.
Although, there’ll probably be more of data science and less of fashion in these stats, here’s what you should know about data science jobs in Finland.
What makes data science jobs in Finland ‘sexy’?
Although it is one of the most stylish places in the world to live and work in, you’d be hard pressed to find anything sexy about data science jobs in Finland. That’s probably not how you thought we’ll begin this one, but there’s a consensus that being a data scientist is pretty tedious.
The typical data science professional spends their days crunching through seemingly endless reams of data. They’re either designing some new algorithm to make sense of the hordes of data or trying to convince the big boss why it’s significant that 70% of customers prefer a “howdy” to a “hello”. Not the most exciting stuff.
But what really gets the world (and employers) excited about data scientists is what they can make data do. Research giants like McKinsey report that Fortune 100 companies can bump up net income by $65 million just by increasing data accessibility by 10%.
The exploitation of big data was responsible for a bumper $122 billion in profits in 2015. That figure rose to $189 billion in 2019 and is expected to hit $274 billion by 2022.
It is estimated that the work of data scientists in data analytics can save the healthcare industry up to 17% of costs. That would have saved the industry a ridiculous $493 billion in 2013.
With numerous potential applications from medicine to construction, finance, technology, transportation, to name a few, data scientists can basically make magic happen. That’s why employers find them sexy.
Finland has long harboured hopes of establishing itself as a world power in AI and data science. It signaled these intentions once again by launching its Artificial Intelligence Program in 2017.
Both the University of Helsinki and Aalto University offer research and master’s programmes in data science. Finnish companies are also keenly interested in data science professionals, with startups such as Iris AI and The Curious AI Company operating on the cutting edge.
Do you have the right mix of skills for data science jobs in Finland?
More than many other jobs, data science jobs are very skill intensive. Top candidates are usually expected to possess several skills in addition to their primary area of study.
For instance, a background in statistics will need to be married with a firm command of at least one programming language, preferably python, and competency with some data science databases.
Some employers even go further in their search for top talent, preferring so-called T-shaped individuals – those with great analytics/technology skills and well-hones soft skills. However, considering the relatively small pool of talent to mine from, it goes without saying that employers hardly ever get everything they wish for in talent.
According to MeetFrank data, out of 25 skills generally required by employers for data science jobs in Finland, Python was the most in-demand skill. It was required in 11% of jobs offers made on the platform in the first half of 2019.
Machine learning was the second most in-demand skill, required in 10% of offers, while Data Analysis, Programming and Data Engineering made up the rest of the top five. They were required in 9%, 7% and 7% of offers respectively.
For candidates that want to make the most of their earning opportunity, the right combination of skills can make that dream a reality. Competence in Python, Machine Learning and Analytics can set you up for a monthly salary in excess of €5,000.
Who are companies looking to hire?
From MeetFrank data, the most offers in the first half of 2019 were made to lead and senior data science professionals. They were made an equal number of offers and were equally in demand during the period.
Offers for mid-level candidates were not far behind in second place, while the least offers were made for junior talent. However, as the data on average salaries will show, they must have been quite some talent.
Several companies have been making their play for talent looking for data science jobs in Finland. Amongst the top 10 are Lumoa.me, Sanoma Media Finland Oy, Bitfactor, Teamit Group Oy, Helborg Oy, Factory Harmonizer, Fira Group, BackedByCFO Oy, Circles Consulting Oy and CollectiveCrunch Oy.
Average salaries for data science jobs in Finland
If you were still harbouring doubts about just how sexy data science jobs in Finland can be, we’re sure this data set will go some way towards easing your mind.
From MeetFrank data curated from job offers made on the platform between January to July 2019, we extrapolated our figures on average salaries for data science jobs in Finland.
Overall averages for the period showed that average minimum salaries were €2,580 while the average of maximum salary was €5,850. The highest salary offer received during the period was an eye-watering €10,000.
Entry positions earned a reasonable amount even with little experience, taking home monthly averages of €4,004. Juniors earned €4229, while mid-level data science professionals earned a monthly average of €4708.
Seniors and lead professionals earned €5,003 and €5,173 while executives earned €5,295 on average.
From month to month, the lowest average salary was €3,251, recorded in February, while the highest was €5,000, recorded in May.
The data shows very good trends for data scientist salaries in Finland, and reinforce why these jobs are in such high demand.
Data scientists are highly-sought after because they may hold the keys to the future we all want. That’s what makes them so valuable.
If you are one of this august pool of talent and you’d like to know what your chances are for data science jobs in Finland, or anywhere else, hop on the MeetFrank app. Try it on Apple or Android to see what companies are interested in hiring you.
The platform was also created to help recruiters make their jobs much easier. Use MeetFrank to find the exact right talent that your company wants. Contact us for a demo to see how MeetFrank works.
For a country that shaves 844 years of working time off its government processes for every year of operation, Estonia is operating light years ahead of its peers. If this wasn’t evident to you before, then that should drive home the point.
Everywhere you turn in the country, there’s one more evidence of why Estonia is considered the world’s most digitally enabled society. With its comprehensive focus on digital services and startups operating on the cutting edge of ICT, a specialty in information technology will set you amongst the top percentile in the Estonia’s labour industry.
And just like most other countries, the more we learn about how data can change the world, the more important data science jobs in Estonia get.
If you have the skills, experience or interest to function in data science jobs in Estonia, you’ll likely want to know what they’re all about. The opportunities, trends and projections for growth.
Luckily, that’s our business here at MeetFrank. With insights drawn from job offers on our employment platform, we’ll explain all you need to know about why data science jobs in Estonia are currently smouldering hot.
Why are data science jobs in Estonia all the rage?
Ever since the concepts of big data and analytics gained ground on the international scene, data science has been a discipline in vogue. With the increasing capacity to mine and exploit data granted by ever-improving computing power, data science has gained in significance.
But the increasing significance is even more personal for Estonia. When you consider the central role that AI and digital capabilities play in the country’s public and private spheres, that’s hardly surprising.
Estonia is a country that has AI deeply embedded in its social fabric. The country has practically taken on AI as its own area of comparative advantage and data is central to how that advantage shapes up in the near future.
The country has identified the potential of data-fuelled AI to help solve the challenges posed by its small population and economy. Its efforts into further AI development are accelerating, and with the government set to launch more than 50 AI applications by 2020 things are definitely heating up.
Estonia’s well-known unicorns and its early-stage startups are looking to data science and machine learning to maximise their product delivery.
The government itself is working hard to invest more in data science. As from 2020, the University of Tartu, alongside the Estonian Ministry of Economic Affairs and Communication, will be opening a new Master’s programme in data science.
With the country’s ability to harness a wide range of data due to its digital capabilities, data scientists are becoming even more critical to help exploit that data.
The new breed of Estonian trained data scientists, coupled with the country’s data gathering capabilities, will place Estonia firmly at the forefront of the 4th industrial revolution. But until then, talent interested in data science jobs in Estonia will have their pick of available jobs.
Meet the top companies hiring for data science jobs in Estonia
Really, the list of companies hiring data scientists in Estonia is populated by the who’s who of the Estonia and Baltic corporate scene. These companies paid the most attention to mid-level data science professionals, followed by senior talent.
Regular Estonian giants such as Telia Estonia and Eesti Energia lead the list, along with some very interesting data-powered startups.
Starship Technologies is one of the more exciting of these. The AI startup built the world’s first package delivery robot with the aim of cracking the logistics and deliveries industry. Perfect for last-mile delivery, Starship robots are capable of carrying items within a 3km radius.
The startup is intensely data reliant though. In a bid to make its robots as safe and autonomous as possible, it feeds the devices large amounts of data that lets them understand and predict the human environment. They built a software that processes input from cameras, radar and other sensors to drive decisions in real time in order to achieve this.
Another popular purveyor of data science jobs in Estonia is Monese, one of the most popular and trusted banking services in Europe. The company uses AI mostly to ensure the safety of its customers.
In order to protect them against financial fraud and minimize the risk of illegal transactions, the company has invested in intelligent computer systems. These systems analyze customer profile data, transaction sequences and social connections to predict financial risk and fraud. Nifty eh?
As a professional working in these data science jobs, you would have your pick of the most technologically advanced startups and established companies in Estonia. That’s saying a lot for a country recognised as the world’s most digitally advanced society.
The companies that make up the top ten currently hiring for data science jobs in Estonia include Haut.AI, Telia Estonia, and Eesti Energia. Others are Inbank, Avalanche Laboratory OÜ, Softwerk OÜ, Bigbank, Alliance for Recruitment, TEHIK and your friendly neighbourhood MeetFrank.
Our MeetFrank users in Estonia also have their preferences for data science jobs in Estonia. According to our data, most users want to work for startups, in Fintech and from remote locations jobs.
Companies that fit this bill and are also looking for data scientists include Telia, MeetFrank, Softwerk, Bigbank, Nortal, COMODULE, Monese, SEB, Testlio, Paxful, Starship and Skeleton Technologies.
How much are companies in Estonia paying for data science jobs?
Our data on average salaries for data science jobs in the first half 2019 indicates that average minimum salaries were €1,496. The average maximum was €3,049 while the highest salary offer received was €5,000.
Professionals in executive roles earned the most during the period, as can be expected, with an average monthly pay of €4,100. Entry candidates started out at a tidy €2,390 while mid-level professionals earned much higher with an average pay of €3,123 per month.
Lead data scientists were the second highest earning professionals, earning €3,319 on average every month.
Our data on averages from month to month showed that the highest average salaries per month were €3,350, recorded in February. The lowest was €1,893, recorded in July 2019.
Smash your earning ceiling with a skills upgrade
We tracked the most in-demand skills for data science jobs in Estonia. Out of the 27 tracked skills, Data Analysis led the top five, being required in 13% of job offers. The second most in-demand skill was competence in SQL, one of the most common databases that data scientists have to work with.
Analytics, Python and Statistics made up the rest of the top five, being required in 10%, 8% and 8% of offers respectively.
For data scientists that have their sights set on earning very well, as they should, we tracked the combined skills needed to earn that high. According to MeetFrank data, Analytics, Data Analysis and SQL were the best combination of skills to earn pretty well.
Enjoy the MeetFrank advantage
Regardless of whether you are a candidate looking for the best data science jobs in Estonia, or a recruiter looking for top talent, MeetFrank can make things easier for you.
We provide data and insights that lets talent find the companies that want to hire them, and we help recruiters find the talent that makes sense for them.