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.
Risto is an insurance innovator and investor, he has been in the insurance business for over two decades. He started with working in an insurance company and went on to build 5 insurtech startups from there. Among them IIZI, the biggest and most innovative insurance broker in Baltic Countries. Cloud-based software platform for insurance agents, brokers and insurers called Insly. And the most recent one – a true innovation, world first insurance marketplace on blockchain Black Insurance.
Risto is a true veteran in the insurance industry, but this is not what I want to focus on today. Risto has built many successful teams and there is something that shines through in every company that he has been running – the atmosphere is genuinely great.
We go into a bit more depth about Risto’s story building these companies and how on earth people love working there so much that they stay. For decades. In the end it will all make sense.
Tell me your story – how did you get into insurance and how did you manage to build not one but many successful companies in the industry?
I started in insurance somewhere back in 2000, when I opened an internet sales platform in Estonia where consumers had the option of comparing insurance prices and also buying policies. We were one of the first to offer online sales in Estonia for insurance products. The company was then called e-kindlustus, which has now become quite a famous brand in Estonia, called IIZI.
Within a few years I managed to create the biggest insurance broker in the Baltic States. We invested heavily into technology and digitalised all insurance sales and administration processes. At one point I understood that it is rather difficult to scale an insurance business globally. I had a profitable company that had become a dominant player in the Baltic states, but growing out of that geographical area was almost like Mission Impossible for me, because as we all know, insurance is still quite a local business.
I came to the obvious conclusion, that the general level and usage of technology in the insurance industry was very weak, especially on a global scale, compared to what we have achieved here in the Baltic states. So an idea was born. We need to pivot using our experiences through the IIZI platform, to create a solution that would solve the same issues for broker companies in other regions. That is how Insly was born, from a clear need to deliver global insuretech solutions to a vastly under-developed segment.
Since 2014, our customer base has steadily increased and we are now serving over 700 customers globally through our SaaS technology, to enable businesses of all sizes to sell and administer insurance policies. Insly serves not only insurance brokers but also MGA’s and insurance companies, meaning that our goal is to deliver a product that in universal, both in needed features and functionality.
So that’s what currently takes up the bulk of my time, working closely with the management team and Board to solve this universal need. In addition to Insly, I have also made some investments and I am continuously advising on several other insurtech projects.
Tell me more about how you’ve built great teams. Nowadays the average time people spend in one company is 2 years. You have team members that are in Insly that started working with you already in IIZI. What makes people stay and want to give their all?
I think it’s a combination of several things. One important part of course is becoming an expert in a certain vertical and in order for us to keep our best people you don’t necessarily need to be the best in the world but you need to be the best in that vertical.
So if you have a developer or manager that has spent the last 7 years building insurance technology then his comparative strength in that field is much stronger than if he’d go to let’s say Pipedrive or Transferwise or Bolt. And that person would feel so much stronger doing something in that specific field because that’s where his competence is. That is probably one element to explain why people might choose to remain in a specific segment. In the IT start-up world, it’s becoming more and more important for technical personnel to have some inherent business know-how of the segment they work in, which adds significant value to any project. This is why we provide regular training sessions about the insurance industry to our staff, so that the technical side of our team can relate to the business value we are actually creating for our customers.
The other element of course is – I try to really keep an open management style. Everyone is quite free to do whatever they want in our organisation, at least in that the key people who contribute to the success of the company have clearly enough flexibility in deciding what they do and how they do it. That is a very important part of making people happy nowadays. If people feel happy with their work and happy with their colleagues, that’s probably everything you need to keep people motivated.
One thing I sometimes struggle with is that I have some people on my teams, whose first job anywhere was at IIZI or Insly. They can sometimes have the feeling – “I am really happy here, it’s really cool but I’ve never worked anywhere else before, so maybe I need to try out something else as well. Do I really want to work all my life in one organisation?” And these conversations are difficult to have because it is a logical feeling. Luckily we haven’t yet lost any of these people, But I feel that I am running out of arguments in these kinds of discussions.
Of course there are some frustrations as well; it’s not like Insly is the place of ultimate happiness without any problems. We face the same challenges as any other organisation that wants to make a significant impact. When team motivation is maybe 6 out of 7 instead of a perfect 10, then this type of issue tends to resurface.
When motivation is high, then we usually don’t have these kinds of discussions. Usually people need to feel they are developing themselves, and have respect in the workplace. If you manage those two things, then even in the ever-changing landscape of IT, I find that it’s possible to keep staff highly motivated, who have worked for 10-years in the same company.
It is quite the result when 6 or 7 out of 10 is the motivation level in the unhappy times.
It could be that these numbers are high, but I believe that with the team members who have been working here for a very long time, it’s logical that the general happiness and job satisfaction is very high because otherwise, with current employment market conditions, they would’ve already left a long time ago. I believe that our top people are really happy with where they are right now, but of course my view is a bit limited.
Insly has been voted the best workplace in Estonia 2x already. What makes the work atmosphere so great at Insly. You mentioned freedom before but what else that comes to mind?
I think the most important thing is that the environment needs to be good. When you come to work you need to feel that you are welcome here, everyone is friendly with you, including the management. You know what the company is doing – you have clear information about the company’s results, and why we are doing the things that we are doing is shared with every employee.
The basic question of “Why?” needs to be addressed very seriously. On a company level and on the individual level. And if for some reason the “Why?” becomes unclear then you very quickly see that motivation in key personnel goes down because they don’t understand anymore what the heck we are doing here: Why we are focusing on this product and why that specific customer and so on and so forth.
If you solve the why, then I’d say 80% is done. Why + reasonable and common sense management. These are the two very important pillars for employee happiness.
Then you have some auxiliary things that may not seem so important individually, but they also help to ensure a positive working environment. Having some fresh fruit in the office, or subsidising health activities like gym memberships, general dental care, or even having a dedicated place for relaxation like we have a massage chair in the playroom. These things tend to add-up and contribute to creating an overall positive and productive environment.
These types of benefits have become standard practice and a lot of IT companies have these perks, but at the end of the day I believe they contribute to 20% of the overall happiness within the team. For Insly, it is a challenge to compete in terms of benefits, with companies that are swimming in money, but we try to keep it to a reasonable level, and focus 80% on common sense communication from the management about why we are doing things.
What have been your biggest challenges in building companies and teams?
Probably the most difficult time for me has been when the company has plateaued. It is not really going down and it’s not really growing fast enough as well. I have had these moments in almost all the companies that I’ve been running.
You might spend a year or one and a half years when you feel like you’re a little bit stuck. In the startup level you grow maybe only 20-30% per year. Your product is a little bit outdated – the tech is no longer state of the art, things are breaking down. Everyone is looking at the numbers – it’s not a rocket ship anymore, product is full of bugs and it’s kind of crap.
The trick is how to find motivation out of this kind of situation? People want to work at a successful company with the best technologies, and when you lose all these things it becomes very difficult to keep the team motivated. You can throw money at it, you can do backflips or whatever, but it doesn’t really help.
For example during the previous economic crash of 2008, we needed to cut salaries 30% and that was an easier process for me. You know that there is a crisis, you need to act and you can make some direct decisions. But when you are on a plateau and not going in either direction, it’s not so bad that you’ve got to jump in and pivot or create some sort of a revolution, but finding the direction is the biggest challenge. In cases where you can identify the bottleneck, then it’s a natural process which usually leads to growth. The worst case is when things are not very good and not very bad, so you’re not sure in which direction to turn, which is the most difficult period for me.
You need to push yourself to make some decisions to come out of it, because the pain is not otherwise strong enough to force action.
What’s the most interesting thing you’ve learnt from your team? How do you solve challenges in Insly?
Hmm, I don’t know. I learn something every day. I think probably most of the solutions are probably coming out of the team. It’s not like I am the one who has all the smart ideas. You have challenges in the company. Sometimes they come from me and sometimes from the team. I don’t even know what the ratio is, but I would say probably 80-20. So 80% of challenges that we need to do are coming from the team and they are also responsible for finding the solutions. So then I have the luxury of only being the facilitator.
In some cases of course the challenge can come from me and the solution from the team or the solution can also come from me. But of course it is always better when the solution comes from the team, because if it comes from me it is much harder to get the team behind it. I suppose that is also in-line with our general management style of facilitating personal and team ownership of delivering results.
I think the best way how to implement ideas is if the solution comes from the team and the management comes behind it as a supportive element. Then you have the best solution and things can really move fast. As simple as that.
At the end of the day these are all really basic and simple things but the trick is how to implement it. How to make sure that these simple and very intuitive things are actually happening in the organisation. That is where things can actually get stuck, but fortunately we have been lucky.
When a company grows bigger than 5 people it becomes really hard to maintain a shared understanding of common sense and productivity starts lacking. My biggest frustration is actually how slowly things are moving sometimes. You need to be extremely patient, but on the other hand you want to move fast.
This is something that we are dealing with on a constant basis, is how to move fast in an organisation with over 70 people in several countries, so there are plenty of challenges still left to overcome.
What is your future vision with Insly?
First of all, it all started with software. We are offering software to insurance market players. But our vision is to become the hub or marketplace that connects all insurance market participants.
On one side there are insurance companies and on the other side there are brokers. If all of these players are using Insly software to manage their business, then we can also connect them and create a marketplace that enables the transactions between our customers. Then we become a much more important player and we can help our customers much more than just solving their efficiency pains.
We can also solve a critical business line by providing insurance companies access to a vast distribution network for their products, and giving brokers access to needed insurance products.
Building the Insly marketplace on top of our software is the bigger vision and we are making small steps towards that already.
Risto’s management skills are something we can all learn from. Quite often great business ideas get stuck because people cannot find ways how to work together efficiently. Insly and IIZI are true examples of a workplace where people feel happy entering and we should thrive to promote this culture.
P.S. Insly is hiring! Check if you’re a match on MeetFrank.
More and more companies are investing time and money into the wellbeing of their team. You can find wonderful and unique perks companies offer in to improve the health & wellness of their employees. I’m happy to say that this has become the standard. And rightly so. Every sick day is time lost in productivity.
So how do you prevent people from getting sick? You cannot totally prevent this, especially in the Nordic countries but you can take steps to promote a healthier lifestyle, keep stress levels low and show some appreciation to your most valuable asset, which is your team.
Here we have compiled a list of 19 companies in Finland that go the extra mile. Let’s look at what they do to keep their team at their best possible health.
Regular health checks are very important. Regrettably, people don’t visit the doctors regularly and underlying health issues that could be fixed easily, get discovered in the late stages. By adding health checks as part of company perks in combination with reminders to actually go and see the doctor can go a long way.
In addition to this, there’s evidence that being on point about your team’s wellbeing can boost work morale quite significantly. Keeping in mind of course that this is a delicate and private matter.
In addition to discovering some health issues that need interference, regular health checks can point out some lifestyle choices that could be changed and give you the push you need to transform to a healthier lifestyle, such as quitting smoking for example.
Here are some of the companies in Finland that offer health checks on MeetFrank:
It goes without saying that nutrition is one of the key factors to a healthy lifestyle. Furthermore, even people at a healthy weight, poor diet is associated with major health risks that can cause illness and even death. These include heart disease, hypertension, type 2 diabetes, osteoporosis, and certain types of cancer. By making smart food choices, you can help protect yourself from these health problems.
Always sticking to a healthy diet is harder than you’d expect. Here a little nudge from your workplace and colleagues can go a long way. Healthy snacks rather than chocolate available for the whole team helps healthy eating become a habit.
These companies offer fresh fruit & veg in the office
Remote work is starting to become the norm in all different types of businesses. From startups to public sector to corporate to SME’s. There’s more than enough research to suggest that remote work can help keep stress levels down and boost productivity.
More and more companies in Finland are adding remote work to their perks. Depending on the company, some offer 100% remote positions, some choose to have a few days per week working from home.
Here are companies offering remote work in Finland on MeetFrank:
Healthy eating is the key to keeping on top of your health but that is far from all. To keep a healthy body and mind you also need to keep active. This can be difficult to keep track of when you’re at an office job and only stand up a few times per day. On the other hand, gym memberships can be costly.
This is where a fitness culture at work can go a long way to keep you at your fittest. Rather than beers at the pub, having team sports events on the agenda can also help teamwork and boost overall work morale.
Here are some companies getting their team to be more active by offering gym membership:
Knowit offers an online training program including: time management, mindfulness, weight control, teamwork, efficiency and much more.
Advance B2B does weekly stretching classes in the office.
F-Secure takes it a step further with their own in-house gym.
Qentinel a paid child care service in case your kids get ill. Most of the time the parents choose to stay at home with kids however if there’s an important presentation or some reason why parent cannot be present at home, Qentinel covers the cost.
Check out all the companies and what they have to offer in the MeetFrank app.
Want your company featured in this article and tell everyone about your perks? Set up a profile on MeetFrank and let us know!