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Data Scientist ( NLP )

Job description.

My clients expertise lies in enabling organizations to derive detailed insights from their data across various domains, including Finance, Risk, Marketing, HR, IT, Audit, Logistics, AML, Clinical Trials, Life Sciences, and Platform Support. This team is spread across Europe and operates remotely. With an ambitious hiring plan for the next three years, This business is looking to expand their team at all levels to enable organic growth.

 

The Role:

 

As an Analytics Subject Matter Expert, you will be responsible for developing cutting-edge data and NLP models and applications to enhance our service portfolio. This is a pivotal new role, offering the opportunity to create innovative models and tools while being a key member of an expert solution delivery team. The role demands a combination of technical expertise in statistical analysis, data modelling, machine learning, and classification, along with the commercial acumen to effectively present the underlying service business case to clients. The ideal candidate will have strong proficiency in NLP skillsets and a solid understanding of various techniques, such as classifiers, statistical modelling, multiclass and multilabel classification, transfer learning, and outcome-based modelling. Additionally, the candidate should be confident in discussing the academic merits of various NLP and language modelling techniques.

 

 Job Responsibilities:

 

- Stay up to date with industry-standard modelling tools and techniques, focusing on NLP tools and technologies, including both open-source and vendor-specific offerings.

- Interpret and align client requirements with functional delivery.

- Showcase outstanding skills in statistical analysis, machine learning methods, and text representation techniques.

- Design NLP models, tools, and applications.

- Transform natural language data into useful features using NLP techniques to feed classification algorithms.

- Select appropriate annotated datasets for supervised learning techniques.

- Implement efficient text representations to transform natural language into actionable features.

- Choose and apply the appropriate algorithms and tools for NLP tasks.

- Collect, organize, and analyse a wide variety of data to support modelling work and address client business model questions.

- Develop prototypes using NLP and Explainable AI (XAI) technologies.

- Extend ML libraries and frameworks to apply to NLP tasks.

- Demonstrate a deep understanding of NLP techniques for text representation, semantic extraction, data structures, and modelling.

- Present findings and outcomes to client business teams.

- Develop quick-turnaround analytics proof of concepts to showcase innovative possibilities.

- Build predictive and forecasting models, and evaluate their performance.

Qualifications/Experience

Essential Criteria:

- Degree in mathematics, computing, or a related field.

- Experience with Python, R, and relevant coding languages.

- Specialist data analytics skills.

- Legal entitlement to work and travel throughout the UK and EU, including holding a valid work permit/visa if necessary, for both Northern Ireland and the Republic of Ireland.

Desirable Criteria:

- Excellent interpersonal, presentation, and communication skills.

- Experience in natural language processing, machine learning, and broader data analytics.

- Industry experience and knowledge of business processes.

- Strong problem-solving abilities, with the capacity to work independently and as part of a team.

To find out more information on this role, feel free to reach out to Ryan Quinn directly or send in your CV via the link below.

Submit CV for this Job.

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Posted
Job Details:
Belfast, UK45000-65000
Job reference:
RQ AGQ 46
RYAN QUINN

RYAN QUINN

Director and Principal Technology Recruiter at Ocho

Ryan’s been in your position. As a Java Developer, he’s worked for product start-ups all the way from Dublin to Melbourne. Now, he’s celebrating his 19th year in IT recruitment across the Northern Ireland market and beyond.

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