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Nlp Master Practitioner Jobs (NOW HIRING)

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Data Scientist II

Chicago, IL · On-site

This role is a great fit for a hands-on practitioner with applied experience in NLP and LLM-based ... Qualifications * Bachelor's or Master's degree in a quantitative field (computer science ...

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Data Scientist II

Austin, TX · On-site

This role is a great fit for a hands-on practitioner with applied experience in NLP and LLM-based ... Qualifications * Bachelor's or Master's degree in a quantitative field (computer science ...

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Data Scientist II

Austin, TX · On-site +1

This role is a great fit for a hands-on practitioner with applied experience in NLP and LLM-based ... Qualifications * Bachelor's or Master's degree in a quantitative field (computer science ...

Arrive Logistics

Data Scientist II

Chicago, IL · On-site +1

This role is a great fit for a hands-on practitioner with applied experience in NLP and LLM-based ... Qualifications * Bachelor's or Master's degree in a quantitative field (computer science ...

GDIT

Senior Data Scientist

Concord, NC

This is a hands-on ML practitioner role-not a platform or infrastructure position. The Senior Data ... Bachelor's or Master's degree in Computer Science, Machine Learning, Statistics, Applied ...

Kros-Wise

Senior Data Scientist

San Diego, CA · On-site

Design, develop, and deploy predictive models, natural language processing (NLP), and optimization ... Agile/Scrum experience or certifications (e.g., Certified Scrum Master, SAFe Practitioner)

Kros-Wise

Senior Data Scientist

San Diego, CA · On-site

$160K - $200K/yr

Design, develop, and deploy predictive models, natural language processing (NLP), and optimization ... Agile/Scrum experience or certifications (e.g., Certified Scrum Master, SAFe Practitioner)

Kros-Wise

Senior Data Scientist

San Diego, CA · On-site

$160K - $200K/yr

Design, develop, and deploy predictive models, natural language processing (NLP), and optimization ... Agile/Scrum experience or certifications (e.g., Certified Scrum Master, SAFe Practitioner)

Apply Early

AIG

Manager Data Science, GenAI

Atlanta, GA · On-site

D. or Master's in Data Science, Computer Science, or a related field. • Ability to thrive in a ... practitioner and a people manager. • Highly technical, with a strong bias for execution.

Solomon Page

Data Scientist

Manhattan, NY · On-site

Apply NLP and ML techniques to tasks such as information extraction, semantic search and retrieval ... Requirements * Bachelor's or Master's degree in Computer Science, Engineering, or a related ...

Vitol

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154K/yr

The successful candidate will join a team of experienced, collaborative practitioners, who are ... Apply a broad range of modelling techniques - including time-series forecasting, NLP ...

Vitol

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154K/yr

The successful candidate will join a team of experienced, collaborative practitioners, who are ... Apply a broad range of modelling techniques - including time-series forecasting, NLP ...

Vitol

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154K/yr

The successful candidate will join a team of experienced, collaborative practitioners, who are ... Apply a broad range of modelling techniques - including time-series forecasting, NLP ...

Octus

Senior Data Scientist

New York, NY · On-site

Apply NLP and ML techniques to tasks such as information extraction, semantic search and retrieval ... Requirements * Bachelor's or Master's degree in Computer Science, Engineering, or a related ...

Octus

Senior Data Scientist

New York, NY · On-site

Apply NLP and ML techniques to tasks such as information extraction, semantic search and retrieval ... Requirements * Bachelor's or Master's degree in Computer Science, Engineering, or a related ...

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All JobsNlp Master Practitioner Jobs

Nlp Master Practitioner information

What are the most in demand roles for NLP professionals?

NLP Master Practitioners are in high demand for roles such as NLP Engineer, Data Scientist, and Machine Learning Engineer, especially in industries like tech, healthcare, and finance. These roles typically require skills in Python, deep learning frameworks, and natural language processing tools like spaCy or NLTK, with certifications often enhancing job prospects.

What are the key skills and qualifications needed to thrive in the Nlp Master Practitioner position, and why are they important?

To thrive as an NLP Master Practitioner, you need advanced knowledge of Neuro-Linguistic Programming techniques, practical experience facilitating change sessions, and certification from an accredited NLP organization. Familiarity with NLP tools, coaching frameworks, and session management software is often required. Strong communication, empathy, and a results-oriented mindset distinguish outstanding practitioners in this field. These skills ensure effective client outcomes, professional credibility, and successful guidance through personal or professional development goals.

What does an NLP Master Practitioner do?

An NLP Master Practitioner is an advanced expert in Neuro-Linguistic Programming (NLP), specializing in deep behavioral change, communication techniques, and personal development strategies. They apply advanced NLP techniques to help individuals or organizations overcome obstacles, improve performance, and achieve specific goals. Master Practitioners often work as coaches, therapists, trainers, or consultants, using NLP models to enhance thinking patterns and behaviors. They may also teach NLP principles to others or integrate them into leadership, sales, or team-building practices.

How much does an NLP practitioner make?

An NLP Master Practitioner typically earns between $70,000 and $120,000 annually, depending on experience, location, and industry. Advanced certifications and expertise in tools like Python or R can influence salary levels for this role.

Can NLP help with PTSD?

NLP Master Practitioners use natural language processing techniques that can assist in analyzing and understanding trauma-related language patterns, which may support mental health interventions. However, NLP is a tool and should complement evidence-based therapies conducted by qualified mental health professionals for PTSD treatment.

What are some common challenges faced by NLP Master Practitioners in their work with clients?

NLP Master Practitioners often encounter challenges such as helping clients overcome deeply ingrained habits or resistance to change. Building strong rapport and trust is crucial, as clients need to feel comfortable sharing personal experiences for effective progress. Practitioners must also continuously adapt their approaches to suit individual client needs and learning styles. Many find ongoing professional development and peer supervision helpful in addressing complex cases and maintaining effective practice.

What can you do with an NLP practitioner certification?

An NLP Master Practitioner certification qualifies individuals to work as NLP practitioners, applying techniques such as language patterns and behavioral change strategies in coaching, therapy, or personal development roles. It also provides a foundation for roles involving communication skills, training, and consulting, often requiring knowledge of NLP tools and methods. Certification can enhance employability in fields focused on behavioral change and effective communication.
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Nlp Master Practitioner jobs near you
Infographic showing various Nlp Master Practitioner job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 54% Full Time, 40% Part Time, and 3% Contract. Highlights an 76% Physical, 4% Hybrid, and 20% Remote job distribution.
Programming & Data Technologies

Programming & Data Technologies

RIT Solutions

Rosemont, IL • On-site

Other

Posted 6 days ago

Job description

Senior Data Scientist

Hyatt is seeking a Senior Data Scientist to lead the development of advanced Machine Learning, Natural Language Processing (NLP), Artificial Intelligence, and Operations Research solutions supporting enterprise Risk Management, Claims Analytics, Incident Mitigation, and business optimization initiatives. This role will partner closely with Risk Management, Legal, Data Engineering, Data Governance, BI, and MLOps teams to design, deploy, and optimize predictive and optimization models that directly impact business outcomes. This is not a reporting-focused or dashboard-oriented Data Scientist role. Hyatt is specifically looking for a hands-on practitioner capable of building production-grade AI and Machine Learning solutions that can identify high-risk incidents, predict claim severity, optimize business decisions, and deliver explainable insights to business stakeholders.

Hyatt is not looking for a generic Data Scientist. They are hiring an AI & Risk Analytics Specialist who can build production-ready machine learning, NLP, and optimization models that help Hyatt predict, prioritize, and mitigate risk before incidents become costly claims. The primary mission of this role is to: Predict which incidents are most likely to become claims, Forecast claim severity and financial exposure, Analyze unstructured incident and claims narratives using NLP and LLM technologies, Develop explainable AI solutions that business stakeholders can trust, Apply Operations Research techniques to optimize business decisions and resource allocation, Deliver scalable production models that integrate into enterprise workflows.

Core responsibilities include:

Machine Learning & Predictive Modeling: Design, develop, deploy, and optimize machine learning models, Build incident prioritization and claim severity prediction models, Develop risk-scoring frameworks for proactive risk identification, Perform feature engineering across structured and unstructured datasets, Monitor model performance, drift, retraining requirements, and scoring quality.

Natural Language Processing (NLP) & AI: Develop NLP solutions for claims and incident narrative analysis, Build text classification and language-processing pipelines, Leverage Large Language Models (LLMs) to extract business insights, Generate explainable AI outputs and risk-driver analysis, Apply AI techniques to improve operational decision-making.

Data Science & Advanced Analytics: Develop predictive analytics and statistical modeling solutions, Build record-linkage and entity-resolution models where unique identifiers do not exist, Support large-scale data analysis across enterprise datasets, Work with structured, semi-structured, and unstructured data sources.

Cross-Functional Collaboration: Partner with Risk Management, Legal, Data Engineering, Data Governance, BI, and MLOps teams, Translate business requirements into technical solutions, Present findings and recommendations to technical and executive stakeholders, Mentor junior Data Scientists and contribute to team best practices.

Documentation & Governance: Create documentation covering methodology, assumptions, validation approaches, and limitations, Support model governance and explainability requirements, Ensure compliance with data governance, privacy, and security standards.

Machine Learning Frameworks: Scikit-Learn, XGBoost, TensorFlow, PyTorch, MXNet, LLM Frameworks.

Cloud Platforms: AWS, Azure, GCP.

DevOps & MLOps: CI/CD, MLOps Frameworks, Model Deployment & Monitoring.

Education: Required: Master's Degree in Computer Science, Statistics, Industrial Engineering, Operations Research, or Related Technical Field. Preferred: PhD in a relevant discipline.

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