Senior Data Scientist

Utrecht
€60000 - €80000 per annum

Senior Data Scientist

€60000- €80000

Utrecht

NEW Senior Data Scientist Consultant Opportunity Available NOW!

The Company:

Are you an expert in Machine Learning? A Major player in the technology sector is looking for a Senior Machine Learning Engineer to joining an ambitious team. The objective of this company is to grow even bigger in their industry and through Data scientist and Machine Learning Ops best practices introduce transparency onto their market.

The Role:

As a Senior Machine Learning Engineer, you will have for objective to strive to re

  • Apply Machine Learning Engineering project
  • You will be building the Machine Learning Infrastructures interacting with CI/CD pipelines, Spark, Airflow, Kafka, and Kubernetes.
  • You will be developing and Deploying Advanced Analytical algorithms / scalable solutions using AWS, AZURE, Spark, and Python/Scala.
  • You will be working within a team of highly skilled Data Engineers and Data Scientists.
  • You will be able to have ownership and lead exciting projects.
  • Regularly liaise and engage with stakeholders.

YOUR SKILLS AND EXPERIENCE:

  • You need to have a MSc or PhD level in Stem subject.
  • You must have proven knowledge in the implementation of Machine Learning and clustering techniques with commercial experience as a Data Scientist.
  • DevOps experience in CI/CD.
  • Experience using Tensorflow, Kubernetes, Spark, Kafka, and Airflow.
  • Experience using Python is a must (tools like AWS and Spark are beneficial)
  • Conversational in Dutch.
  • Excellent communication skills and team and colleague engagement.
  • A keen interest in problem-solving and using scalable machine learning to solve the biggest data-related problems

BENEFITS:

  • €60,000 - €80,000 Competitive Salary.
  • An excellent pension scheme.
  • Bonus Scheme.
  • 13th month
  • 25 days holidays.
  • Travel/ Training opportunities.

How to Apply:

Please register your interest by sending your CV to Luc Simpson-Kent via the Apply link on this page.


Send similar jobs by email
2923LYSK
Utrecht
€60000 - €80000 per annum
  1. Permanent
  2. Deep Learning and AI

Similar Jobs

Salary

£60000 - £80000 per annum + Additional Benefits

Location

London

Description

Help one of the most respected brands in the UK diversify their data science function and create a whole new landscape for machine learning.

Salary

£45000 - £60000 per annum

Location

London

Description

This is an exciting new opportunity for a Data Scientist to join a well-known successful gambling company!

Salary

800000kr - 950000kr per annum

Location

Stockholm

Description

Hands-on AND management role within ML

Salary

£65000 - £80000 per annum + Additional Benefits

Location

London

Description

Join a global telecoms company driving customer excellence through high impact data science techniques, across 20+ countries and over 400 million customers.

Harnham blog & news

With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.

Visit our Blogs & News portal or check out our recent posts below.

Three Ways Data Impacts The Customer Experience

In 2019, over 50 per cent of companies had adopted Big Data, with a further 38 per cent citing that they would be investing in it in the future. As it stands, we can assume that now, at least three-quarters of businesses will have invested in Big Data capabilities. By 2022, the annual revenue from the global big data and business analytics market is expected to reach $274.3 billion.  The lucrative nature of this industry stems from a recognition by many companies that it’s no longer good enough to guess what customers might want or need from your product or service, but to have hard evidence to back up your choices. Not only does this make for much happier, more satisfied customers, but it undoubtedly improves the bottom line.  Here are three examples which showcase how Data can positively impact the customer experience: 1. Create a more intuitive website journey From heatmapping the areas of interest (or disinterest) on your website through eye movement or mouse tracking to traffic analysis through tools such as Google Analytics, Data can give you both real-time and overall information about the success of your website.  You can analyse areas of the website where consumers ‘linger’ or click through, such as content pieces, links or assets, which proves to give added value or entice them to learn more about your business. You can also see areas where little to no activity happens, allowing you to create a new, perhaps more engaging, strategy.  The use of data for website ensures your get the design and content right in less time. The cost of redesigning a website can be a hefty cost for any business. The fewer times a website needs chopping and changing, the more cost-effective it will be, not forgetting to mention a much smoother and more efficient process for customers. 2. Building loyalty through personalisation In a report featured in Forbes by The Harris Poll, 76 per cent of Americans are more likely to complete a purchase if the customer journey has been personalised to them, their needs and wants. The story is similar in the UK, 80 per cent of companies report seeing an uplift after employing personalisation tactics.  However, personalisation must go one step further than just addressing a person by name in an email nowadays. It means targeting consumers with specific and relevant ads that actually take their interest instead of bombarding them with a scattergun approach, as well as looking at areas such as location-specific targeting and device optimised outreach. This can be made possible by combining marketing data, such as brand interactions, combined with sales data, previous purchases, and customer service data, the feedback given. These aspects allow you to create an in-depth and meaningful customer journey map, help you understand what turns specific consumers on, or off, and ensures your marketing messages and outreach are pertinent.  3. Be prepared for problems before they occur Data can give incredible insight into what’s working currently for a business but, arguably, its strengths lie in giving accurate understanding into the potential risks or problems that are likely to occur in the future.  According to Clarion Tech, there are seven areas in which Data can play a crucial role in minimising risk, errors or issues for a vast range of businesses. From making sense of unused business data to making companies proactive instead of reactive, minimising misleading forecasts to diminishing customer service challenges, data can be the solution to a wealth of problems.  Not only do these kinds of errors leave a bitter taste in the mouths of customers who may struggle to revisit your business after a bad experience, but they can negatively affect your bottom line too. Nipping them in the bud before they happen is an incredible card to have to hand, and one that could be the saviour of your business.  To learn more about how working with a Data & Analytics specialist could help bolster the success of your business, contact our team or, if you're looking for your next opportunity, check out our latest roles. 

Using Data Visualisation To Bring Data & Analytics To Life

The majority of the human population are visual learners. Our brains are wired in such a way where we can register 36,000 visual messages per hour, and visuals are processed 60,000 times faster than text. In short, one of the best ways to truly assimilate and understand new-found knowledge is through clear and digestible imagery.  Because of this valuable insight, we are now witnessing the fast-growing trend of Data Visualisation. Over the next six years, the value of Data Visualisation tools is expected to reach $19.2 billion, over double what it was in 2019.  Data & Analytics is one key area where data visualisation is used continuously. The raw data collected on a daily basis by Data Analysts can be incredibly time-consuming to sift through, not forgetting near-impossible to form palatable findings from. However, through the use of data visualisation tools such as graphs, heat maps, charts and infographics, confusing, text-based data can be transformed and brought to life. So, how can Data Visualisation help your business? Greater understanding of your data As Lydia, our Senior Recruitment Consultant, stated in her most recent article – data insights have the capability of not only improving decision-making, but also allow you to spot key trends, errors and predict future challenges. Nevertheless, all of these brilliant capabilities of data insights can only occur when teams can garner an in-depth understanding of the data being presented to them.  Without a background in statistics, which very few members of any team would possess, the raw data simply wouldn’t mean anything, and key insights could be missed. Utilising data visualisations not only makes data more tangible, but it also allows every team member to understand the data, make decisions and implement changes more efficiently. Standing out from the competition The effectiveness of Data Visualisation is no secret, and time and time again it’s been proved that this way of presenting data is far more likely to produce results than simply reviewing text.  Research within Analytics Insight reported that businesses using data discovery tools are 28 per cent more likely to find timely information compared to their dashboard-using counterparts, and 48 per cent of business intelligence users at companies with visualisation tools are able to find the information they need without the help of a specialist team.  Nevertheless, despite the incredible benefits, only 26 per cent of businesses globally are using data visualisation tools.  While the reasons for this slow uptake are varied, it’s clear that those companies who are willing to invest in Data Visualisation are far more likely to stand a head above their competitors. It can improve customer experience 98 per cent of companies will use data to help drive a better customer experience, but it doesn’t always mean that this data is collected, managed or presented well.  Data is, and should be, used as a way to back up what brands are saying, especially if they’re shouting from the rooftops about how fantastic they are.  When a business or brand uses accurate Data Visualisation to tell this story – for example, the percentage of consumers who report high levels of customer satisfaction, or the amount of money donated to CSR projects – audiences will respond much better than if the claim appears to be empty words without any evidence.  Data Visualisation is undoubtedly one of the most effective ways to communicate data, both internally and externally. The comprehensible formats available enables information to be processed with ease, and for learnings and understandings to be absorbed and implemented with much more efficiency than text-based raw data. It’s clear that this trend is only going to grow in popularity as businesses begin to put more investment behind it in order to reap the benefits and watch the positive impact on their bottom lines prosper.  For examples of how Harnham uses Data Visualisation, head over to our recent research reports.  If you're looking to take the next step in your career or build out your Data & Analytics team, we can help. Take a look at our latest opportunities or get in touch with one of our expert consultants to find out more. 

Recently Viewed jobs