Harnham
SEARCH
Shortlist

Data Scientist (Freelance)

Rotterdam, South Holland
€720 - €800 per day
Apply Save job

Data Scientist

Rotterdam, Netherlands

6 Month Contract

95 EUR Per Hour

As a Data Scientist you will be using an innovative modelling platform to provide clients with predictions on which businesses will buy from them.

THE COMPANY:

The client is a consultancy who provide insight and predictions to their clients based on Data Modelling. As a Data Scientist you will work alongside the Data Science team to help improve the existing models and identify new areas of the client's business where ML can be implemented.

THE ROLE:

As a data scientist you will be using ML to provide business predictions to clients. You will have the opportunity to lead on improving the existing ML models and implement new models of your own. You will be expected to be able to build and use ML models autonomously to solve business problems.

YOUR SKILLS AND EXPERIENCE:

The ideal Data Scientist will have:

  • Commercial experience using the Python Data Science toolkit including pandas, Jupyter & Scikit-Learn
  • Commercial experience building and implementing ML models for business use
  • Ability to work as part of a team to identify and solve business issues
  • Fluent in English and Dutch to a professional level

HOW TO APPLY:

Please submit your CV to Lily Desmond at Harnham via the Apply Now button.

Apply Save job
Send similar jobs by email
39483 - LD
Rotterdam, South Holland
€720 - €800 per day
  1. Contract
  2. Data science

Similar Jobs

Machine Learning Engineer
Salary

£60000 - £65000 per annum + Benefits

Location

Cambridge, Cambridgeshire

Description

ML Engineer, Cambridge, United Kingdom.

ADD TO SHORTLIST
Lead Data Scientist
Salary

£80000 - £100000 per annum

Location

London

Description

This is an exciting new opportunity for a Senior / Principal Data Scientist to take their next step up working for a successful, data-driven finance company!

ADD TO SHORTLIST
Data Scientist
Salary

£60000 - £65000 per annum + Bonus

Location

Cardiff

Description

Data Scientist - Digital Network Provider - Cardiff

ADD TO SHORTLIST
Head of Machine Learning
Salary

£95000 - £100000 per annum

Location

London

Description

Head of Machine Learning in the asset management space - bringing cutting-edge data science to help investors make smarter decisions around the globe.

ADD TO SHORTLIST

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.

Data Science For Business Decision Making

All strong and successful businesses are built and run upon well-informed decision-making, which derive from a mix of leader experience, industry knowledge and, more recently, the regular implementation and use of advanced Data Science teams.  While the use of data has been around for many years, it’s hard to believe that it is only in the last five years or so that we have seen the adoption of such technology and skills really take off. Five years ago, the importance and demand for Data Scientists sat at a very meagre 17 per cent, whereas in 2019, we saw exponential growth of over 40 per cent – a number that is expected to continue growing as we move forward.  Within Data & Analytics, Data Science is a crucial arm within many businesses of all shapes and sizes. Through the collection and analysis of certain datasets, Data Science teams can delve into an organisation’s pain points, any potential obstacles and future predictions; crucial elements which, if looked at and planned for in advance, can be the making of a business.  So, how else can Data Science influence the decision-making process and make a positive impact on a business and its bottom line? The removal of bias and the increase of accuracy As humans we are innately susceptible to bias, conscious and unconscious, and this can be a hindrance on our ability to make informed yet impartial decisions. By relying solely on facts and figures instead of our own opinions, we are not only removing bias, but we are in turn making the decision-making process more accurate.  Accuracy within decision-making will remove the potential risk of mistakes and the need to re-do tasks, therefore saving precious time, resource and money, unequivocally a benefit for any business’s bottom line.  Efficiency There are elements of all businesses that require trial and error for example, hiring practices. People who look great on paper and perform exceptionally well in first interview may turn out to be utterly the wrong fit six months down the line. However,  collecting and recording data of those employees who do fit well into the business, compared to those who don’t, can help to reduce the chance of choosing the wrong candidate. This in turn improves staff retention rates, helps create a positive work culture and, of course, positively impacts profitability.  Considering the cost for hiring one person for a company is around £3,000, Data Science is of huge benefit to any company, large or small, in reducing the risk of high staff turnover.  Mitigating risk All businesses at some point in their lifetime will come up against potential obstacles and risks that, if not managed properly, can be potentially lethal. The implementation of Data Science will allow senior leaders to learn from past mistakes and create evidence-based plans to better tackle, or completely avoid, similar problems in the future.  This could be for either organisational risk or strategic risk, both of which can be extremely damaging if not prepared for. Organisational risk entails problems occurring within daily business tasks such as fraud, data loss, equipment and IT issues and staff resignations. Strategic risk relates to events that cannot be planned for in advance; those sudden and unforeseeable changes - a great example being the current COVID-19 pandemic.  However, with both risk groups, Data Scientists can help to mitigate these risks through learnings and observations made from reams of previous data, as well as real-time intelligence. This allows senior leaders to act fast where needed, and plan where possible.  Data & Analytics, and especially Data Science, has been, and will continue to be, a key driver in the evolution of many industries worldwide. As we move forward, we will undoubtedly see an even larger uptake of the available technologies as business leaders everywhere begin to see the influential value of data-driven decision-making. If you’re a Data Scientist looking to take a step up or are looking for the next member of your team, we may be able to help. Take a look at our latest opportunities or get in touch with one of our expert consultants to find out more.

Rosie O'Callaghan

Rosie O'Callaghan

18. February 2021

News

Getting Ahead As A Specialist In Data Science

For professionals working in Data Science, the discipline is all about discovery, insights and innovation. Rapid advancements in the adoption of data and technologies, coupled with organisations feeling the strain of the mass of data they have, means that Data Scientists are in high demand. To stay ahead of the competition, companies must continuously look for unique ways to extract insights from the large volumes of data they acquire. This is where professionals from Data Science come in. Their skills lie in correlating data points, mapping out trends and identifying insights that support organisations to action change and/or enhance their growth. Now more than ever, due to the global pandemic, opportunities to move into a career in this space are vast. From Data Scientists, to Data Engineers and Heads of Analytics and Machine Learning, the possibilities for professionals in this discipline are limitless. Here are just a handful of the things you should know for a career in Data Science. Data Science is supporting the future According to the 2020 Emerging Jobs Report published by LinkedIn, the role of the Data Scientist continues to be an incredibly important one within data, analytics and technology. It also shows that, in our core markets, this position continues to be one of the top emerging roles: USA, it is thirdUK, it is seventhGermany, it is eighthFrance, it is tenth Data Science is a discipline that is growing. In the past year, we have seen these professionals demonstrate their ability to adapt into industries such as retail, banking and medicine, where we have seen such sharp change in consumer habits and a step up in global demand. They are all poised and ready to make use of Data Science functions and analytics. Take healthcare and medicine, for example. New collaborations, funding routes and systems for sharing data will shape research from now on. Data supports the way in which we interpret information and provides a means for us to make predictions, spot new trends and developments as well as better managing supply chains and organisational planning. Taking on a role as a Data Scientist or engineer will ultimately be a purpose-driven career, driving future innovations and making a range of business processes simpler and more effective. Professionals require an array of skills The way in which we have become connected today is ubiquitous. It is this level of connectivity that is having a direct impact on the way in which organisations operate (and how their consumers make use of services), due to the growing levels of data that are being collected and are then required to be interpreted and managed. Professionals working within the realms of Data Science need to keep this link in mind as their career and new project opportunities arise. Whilst it is crucial for these specialists to have unique skills such as Apache Spark, Data Science, Machine Learning and Python, they also need to have a clear understanding of statistics, hold business development skills and be clear communicators. Particularly of Data Scientists and engineers, it is imperative to really understand what the customer is looking for from the software, be able to handle multiple projects side-by-side and have excellent end-to-end experience across relevant frameworks. Professionals should take the time to bolster these skills, particularly for technical needs, by completing ongoing online courses, speaking to industry experts and staying updated with the latest iterations of programming and data languages. There are a range of career opportunities for skilled, savvy Data Science professionals with an interest in data and analytics on the table. The discipline is determined by technology and trends, making for a dynamic, rapidly developing industry that is growing at an unprecedented rate. Critically, as the industry continues to advance and demand for skilled professionals grows, there will be plenty of opportunity for you to make your mark. If you’re a Data Scientist looking to take a step up or are looking for the next member of your 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.

Luke Frost

Luke Frost

23. December 2020

News

Recently Viewed jobs