Natural Language Processing Expert
Leiden, South Holland / €60000 - €90000
€60000 - €90000
Leiden, South Holland
Natural Language Processing Expert
€50000 - €90000
As a Data Scientist (Natural Language Processing), you will be working end to end on innovative products related the healthcare industry. You will be responsible not only for the research and development of different Machine Learning focused products but also for the Data Science strategy to implement.
My clients are a household name in the tech/healthcare industry. They have a clear vision to revolutionise the future of the industry.
If you are looking for a company that has for objective to implement complex Machine Learning solution to help individuals on a daily basis this is the place for you. The ideal candidate is a passionate, dedicated, and experienced Data Scientist, NLP, Machine Learning, Deep Learning.
Could this be You?
When joining this company, you will be part of a talented team of Data Scientists. You will be building and maintaining complex analytical machine learning algorithms using Python and Numpy, Scikit-Learn. This is a chance for you to join a growing and dynamic business.
- You will be creating and delivering Data Science/NLP projects regularly.
- You will be effectively collaborating with colleagues to solve business problems.
- You will be working on projects that have a positive impact on people.
- You will be building high-impact insights, models, and recommendations for the business, using Python.
- You will be deploying and maintaining Complex Analytical Machine Learning Algorithms
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.
- Strong commercial experience with Python and Visualisation and proficient knowledge of R, AWS, and Scala.
- Previous commercial exposure to tools such as AZURE and AWS.
- Fluent in English is a must with a good understanding of Dutch.
- Excellent communication skills and team and colleague engagement.
- €50,000 - €70,000 Competitive Salary.
- An excellent pension scheme.
- Bonus Scheme.
- 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.
7 Resolutions to Improve Your Data Skillset | Harnham Data & Analytics
It’s just a couple of weeks into the new year and many have made or are thinking about resolutions. We all plan for the new year and are full of purpose late on December 31st but find our goals head south by February. Not this year. This is the year we’ll stick to our plans, our resolutions, our objectives. Whatever you choose to call it, there is always room for improvement in making sure what we envision for the year comes to pass. What else happens when we make our resolutions? We ask ourselves questions. So, we’ve got only two for you to think about. Where are you now and where do you want to be? Whether you want to gain in-demand skills in hopes of a promotion or are ready to take the next step into a new role, we’ve got you covered. Here are 7 In-Demand Skills for 2022 Data demands tech skills and higher education. It’s difficult to get started in such a demanding field or take the next step toward a promotion or new role without understanding the fundamental concepts.Educate Yourself. Though most Data Scientist positions require a Master’s degree or PhD, others may also consider a Bachelor’s degree as long as it fits one of the following majors – Computer Science, Engineering, Math, or Economics just to name a few. Think STEM majors and you’ll be on the right track. Wondering where to start? Here are 10 certification courses to consider to get your foot in the door or take the next step on your career path.What Language Will You Speak? Consider these in-demand computer languages for Data Scientists or really anyone who interacts with Data should have a working knowledge of these languages. Some may surprise you.• Python – this is one of the most used languages in the world by Data Scientists and is also a language that links itself to AI. As established as it is, its cornered the market on both defined businesses and those that have their pulse firmly on the future.• SQL/NoSQL – Much like Python, SQL is a well-established language and commonly used when calculating relational Data. But there’s a flipside to it and non-relational SQL is a new standard that Data Scientists will want to be able to understand and know when and which to use these databases.• MS Excel – The basis of the macro repeatable tasks that are necessities to everyday business. Things like payroll and project management run on Excel’s programming language, VBA. Also within Excel, you can conduct statistical modelling, Data analysis, and craft PivotTables which allow Data Scientists to draw conclusions from raw data.• Additional Skills and Languages – Java, Scala, Amazon Web Services (AWS), and big Data processing using Spark or Hadoop.Natural Language Processing/Machine Learning – Now you’ve got the computer languages down how do you bridge the gap between human and machine understanding? NLP is within the realm of artificial intelligence and is what makes the field function. Noticing a theme when it comes to artificial intelligence (AI)? Anything that helps you help your business improve when it comes to this type of functionality is a skill to be gained and honed. The next step for you could be the next step for the world.Data Visualization – If a picture is worth a thousand words, how much more is it worth when the numbers can paint a picture for your business? We are naturally attuned to understand visuals over dashboards, so using tools like Tableau, Infogram, and Google Data Studio can help marketers, decision-makers, and businesses analysts grasp heavy amounts of data quickly. This is one of the best ways to share actionable insights and give your non-technical team members something to follow as you explain your findings.Social Media Mining – This is where the rubber meets the road in the metaverse and in the real world. This is where businesses learn what audiences want and need, and the insights derived from those Data professionals who can mind social media sites for this information.Communication – Outside technical skills, the most important skill to hone is communication. If management isn’t taking your advice and suggestions, you feel like you’re not getting the support you need, or it seems no one is grasping what you’re trying to tell them, it may be time to consider how and what you’re saying. The ability to translate complex topics to non-technical professionals so they can make decisions based on your insights is as in-demand as any technical skill, if not more in demand. Teamwork – The life of a Data Science professional has long left behind the siloed professional who speaks the tech jargon non-technical professionals may not understand. But with data visualization, communication skills, a bit of business savvy, and a hearty appetite for collaboration, you may find that teamwork really does make the dream work. Too much? Laugh it off and discover the creative possibilities when a team works together toward a greater goal. Ready to help your business move forward? Add these in-demand IT skills for 2022 and see where it can take you. Having a good grasp of the skills you need now and will want to build on for your future is the next step forward in your career path. If you’re interested in Big Data, Analytics, Data Science, Artificial Intelligence, and Machine Learning just to name a few, Harnham may have a role for you. Check out our latest data jobs or contact one of our expert consultants to learn more. For our West Coast Team, contact us at (415) 614 – 4999 or send an email to email@example.com. For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to firstname.lastname@example.org.
Making Sense of Unstructured Data with NLP | Harnham US Recruitment post
Natural Language Processing. It seems a simple enough explanation. The idea is to make computers sound like native speaking humans regardless of their language. Except there’s one problem. When we speak, we don’t follow our own rules of grammar. We use idioms, metaphors, abbreviations, and oftentimes use more body language to communicate than we realize. So, what’s a poor machine to do when confronted with such an unstructured melee of data? Well, since semantics is not what you say it’s how you say it, we must teach computers to read between the lines. Of code. Enter NLP. The semantics of human language written for a machine to help make sense of our human behaviors gets organized.The Perfect Imperfections of LanguageComputers require structure. Natural language does not. Teaching machines how we communicate is no easy task, and yet we use machines that can do this every day.By combining technology and Machine Learning we begin to teach computers how to understand us. We teach them how to interpret and determine what it was we want done. When you’re asking Siri or Alexa a question, you’re helping them to learn how you ask, so they can better respond, and they make you more efficient. It’s a win-win for everyone.In business, using NLP techniques to drive business decisions is even more important. Now, the computer must decide what information is the most valuable to pull from a pile of Data. Understanding our choices, our tone, even the words we choose to use, helps our machines learn what we want to do or need done.Where is NLP Used?Since we use different rules when we speak than when we write, our computers learn how we talk and how to use language more naturally. Wondering where NLP might be used? In a word or two? Nearly everywhere.You are scheduling a meeting and when it’s time, a calendar reminder pops into your phone which says estimated drive time to the meeting based on traffic conditions in your area. Or you ask Alexa to play your favorite music list from Pandora. Every touchpoint in this scenario is using NLP. We naturally might get into our car, ask our Virtual Assistant navigation system for directions, or to play our favorite music. Our choices don’t fit in a box and may not be logical, but the more we teach the machines, the closer they may get to understanding the nuances of our language.Here are 5 more ways we use NLP every day:Predictive text on your phone or in your Word document. Chatbots and Virtual Assistants to ensure customers are acknowledged in a timely manner, answer basic questions or redirect to appropriate personnel, and making suggestions to improve the customer experience.Curating social media feeds to determine customer needs and interest.Grammar correction software so our emails and business documents are error-free.Analyzing customer interactions using comments and reviews for customer feedback about a product or service.There’s a ton of information to be filtered, sorted, sifted, and analyzed, and NLP is just one of the tools Data Scientists use.Interested in the subfield of NLP? Check out this article for 6 techniques you need to know to get started. Already well-versed in the industry and looking for a new challenge?If you’re interested in Big Data and Analytics, Advanced Analytics, Life Sciences, Data Science, or any of our Data professional fields, we may have a role for you. Review our current vacancies or contact one of our expert consultants to learn more. For our West Coast Team, contact us at (415) 614 – 4999 or send an email to email@example.com. For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to firstname.lastname@example.org.
How NLP Can Help Those with Dyslexia
Orlando Bloom. Keira Knightley. Richard Branson. Albert Einstein. Pablo Picasso. Jennifer Aniston. What do all these names have in common? Each of these actors, businessmen, artists, and scientists were diagnosed with dyslexia. What was once considered a disability has now become something much more valuable. Enhanced creativity and better ways to navigate dyslexia through Natural Language Processing (NLP).
WHAT IS NATURAL LANGUAGE PROCESSING (NLP)?
It’s the study of natural language to see if machines can emulate humans in their speech patterns. Think chatbots, translators, and voice assistants to name a few. NLP is always changing and growing as it learns the context, nuances, and ambiguities of human language.
So, how does it help your business? It can glean insights from the huge amounts of data that cross the internet every day, and automate tasks like Q&As, and ticket routing, directing you to the right person if your questions go deeper, offers turn-by-turn directions in your GPS, and can read your text messages and emails to you, translate language, and so much more. This makes it perfect for those with dyslexia allowing them to absorb information by listening rather than by reading.
According to Neurosciencenews, “variability in natural speech is challenging for the dyslexic brain”. The acoustic variations and phonemes we hear when we say a word sound different. We all learn differently. NLP offers speech-to-text to help us write, read, and understand the information on the page.
NLP has been around since the 1950s and is only expected to continue to grow in 2022 and beyond.
IN THE CLASSROOM
NLP technologies can help students learn to write better and comprehend what’s been read while offering teachers cognitive feedback for student learning. In writing, NLP solutions such as automatic writing evaluations can provide feedback to students with tips about vocabulary or dig deeper with advice about whether or not their argument makes sense. This type of specific information goes beyond the grammar and mechanics of writing.
Recent research has focused on NLP predictors of students’ differences, including vocabulary knowledge, working memory, and identity.
For teachers, NLP tasks have expanded to include source-based essays in which students must use external sources to back up their argument. In so doing, teachers can gain insight into what is happening at a cognitive level with their students.
October is Dyslexia Awareness Month and from October 3rd, Microsoft will be running a “Be You” Campaign. Why? To raise awareness of how technology benefits individuals with Dyslexia and other neurodiverse learning differences. Its goal? To empower people with dyslexia, dispel misconceptions, and showcase the range of creativity and critical thinking brought to the table in business by individuals who have dyslexia.
Did you know you can list ‘Dyslexic Thinking’ as a skill on LinkedIn? This is just one of the ways in which Microsoft is showcasing the tools available to help. But it’s not just for dyslexic individuals. New technological tools such as NLP can help with conditions such as hearing and vision disabilities, too. Businesses will continue to benefit from NLP, from improving their operations and customer satisfaction to reducing costs and making better decisions. Neurodiverse individuals bring strength and skills to the table that many may not realize. Their thinking patterns are different which means fresh ideas and new perspectives, and brilliant problem-solvers. Why? Because they’ve most likely devised strategies to overcome their own difficulties.
If you’re interested in Big Data, Web Analytics, Business Intelligence, AI, Robotics, Computer Vision, and more, Harnham may have a role for you.
Check out our latest Data & Analytics jobs or contact one of our expert consultants to learn more.
For our West Coast Team, contact us at (415) 614 – 4999 or send an email to email@example.com.
For our Arizona Team, contact us at (602) 562 7011 or send an email to firstname.lastname@example.org.
For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to email@example.com.
CAN’T FIND THE RIGHT OPPORTUNITY?
If you can’t see what you’re looking for right now, send us your CV anyway – we’re always getting fresh new roles through the door.