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Nlp Coach Jobs (NOW HIRING)

RELX Group plc

Manager Data Science

Philadelphia, PA · On-site

$115K - $192K/yr

Significant experience leading data science, machine learning, artificial intelligence, NLP, information retrieval, or related technical teams. * Proven success building, coaching, and developing ...

Elsevier

Manager Data Science

Philadelphia, PA · On-site

$115K - $192K/yr

Significant experience leading data science, machine learning, artificial intelligence, NLP, information retrieval, or related technical teams. * Proven success building, coaching, and developing ...

Elsevier

Manager Data Science

Philadelphia, PA

$115K - $192K/yr

Significant experience leading data science, machine learning, artificial intelligence, NLP, information retrieval, or related technical teams. * Proven success building, coaching, and developing ...

Abbott

Lead AI Platform Engineer

Madison, WI · On-site

$99K - $198K/yr

Lead the execution of ML, NLP, LLM deliverables in support of the AI strategies. * Collaborate ... Coach, support, and provide mentorship for team members. * Champion ethical AI practices and ensure ...

Abbott

Lead AI Platform Engineer

Madison, WI

$99K - $198K/yr

Lead the execution of ML, NLP, LLM deliverables in support of the AI strategies. * Collaborate ... Coach, support, and provide mentorship for team members. * Champion ethical AI practices and ensure ...

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Nlp Coach information

What does an NLP coach do?

A typical day for an NLP Coach involves conducting one-on-one or small group coaching sessions, either in person or virtually, where you work with clients to help them set and achieve personal or professional goals using NLP techniques. You'll spend time assessing client progress, preparing tailored exercises, and tracking outcomes through session notes or specialized coaching software. Collaboration with other coaches or mental health professionals may also be common, especially when designing workshops or comprehensive development programs. Balancing administrative tasks, professional development, and client engagement ensures ongoing effectiveness and satisfaction in your role.

How can I become an NLP coach?

To become an NLP coach, you should complete specialized training in Neuro-Linguistic Programming (NLP) from accredited institutes and obtain certification. Developing strong communication, coaching skills, and practical experience are essential for success in this field.

What is an NLP coach?

An NLP (Neuro-Linguistic Programming) Coach helps clients improve their mindset, communication, and behavior using NLP techniques. They assist individuals in overcoming limiting beliefs, setting goals, and enhancing personal or professional performance. By leveraging language patterns and mental strategies, NLP Coaches guide clients toward positive change and self-improvement. Their work is often applied in personal development, business coaching, or therapy-related fields.

What are the key skills and qualifications needed to thrive as an NLP coach?

To thrive as an NLP Coach, you need a deep understanding of Neuro-Linguistic Programming principles, strong coaching or counseling skills, and relevant certifications such as NLP Practitioner or Master Practitioner. Familiarity with digital coaching platforms and session management tools is often necessary in this role. Exceptional listening, empathy, and motivational skills help NLP Coaches build trust and support clients through personal development. These abilities are vital for effectively guiding clients to overcome obstacles and achieve their goals.

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Infographic showing various Nlp Coach job openings in the United States as of August 2026, with employment types broken down into 42% Full Time, 57% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

Manager Data Science

RELX Group plc

Philadelphia, PA • On-site

$115K - $192K/yr

Full-time

Re-posted 24 days ago

Job description

AI for Science, Research Intelligence & Knowledge Discovery
Lead the Teams Building AI That Advances Science
What if the teams you lead could help accelerate scientific breakthroughs, improve healthcare outcomes, and expand human knowledge?
At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps. It is about leading teams that build intelligent systems enabling researchers, clinicians, educators, and institutions to discover evidence, connect ideas, uncover insights, and solve some of the world's most important challenges.
Every day, millions of researchers depend on our products to navigate an ever-growing universe of scientific knowledge. As a Data Science Leader, your work will directly influence how knowledge is discovered, understood, trusted, and applied across the global research ecosystem.
This is leadership with purpose. This is AI in service of science.
About the team
As part of a growing team of Data Scientists, you will take on some of the hardest problems in science. This team is building intelligent systems that can reason across scientific publications, research data, knowledge graphs, ontologies, metadata, taxonomies, citations, and content spanning every scientific discipline.
About the Role
As a Data Science Leader, you will build, develop, and inspire high-performing teams responsible for delivering advanced AI, machine learning, search, retrieval, NLP, and generative AI solutions that power scientific discovery and research intelligence.
You will provide strategic direction, elevate technical excellence, and help shape the future of AI-enabled products used by researchers and healthcare professionals worldwide. Working at the intersection of cutting-edge technology and meaningful impact, you will guide teams solving some of the most complex and intellectually challenging problems in science.
Success in this role requires a balance of technical depth, people leadership, strategic thinking, and a passion for helping others do their best work while advancing a mission that matters.
What You'll Do
  • Lead and develop high-performing teams of data scientists, machine learning engineers, researchers, and technical contributors.
  • Define and execute data science strategies that advance scientific discovery, research intelligence, and knowledge-access products.
  • Drive the development of AI-powered capabilities across search, retrieval, recommendation, NLP, knowledge systems, and generative AI.
  • Translate complex customer, scientific, and business challenges into scalable data science solutions and measurable outcomes.
  • Establish high standards for experimentation, evaluation, model quality, reliability, and responsible AI practices.
  • Partner closely with Product, Engineering, Research, UX, Analytics, and domain experts to shape product strategy and delivery.
  • Mentor and coach team members while fostering a culture of scientific rigor, collaboration, innovation, and continuous learning.
  • Guide the adoption of emerging AI technologies, including LLMs, retrieval-augmented generation, semantic search, and knowledge-based systems.
  • Influence senior stakeholders and contribute to long-term AI, technology, and product strategy across the organization.
  • Ensure that AI systems are trustworthy, scalable, explainable, measurable, and aligned with meaningful customer and societal outcomes.

What We're Looking For
  • Significant experience leading data science, machine learning, artificial intelligence, NLP, information retrieval, or related technical teams.
  • Proven success building, coaching, and developing high-performing teams in complex technology or product environments.
  • Technical expertise across machine learning, generative AI, large language models, retrieval systems, experimentation, and model evaluation.
  • Experience delivering AI-powered products or platforms from concept through production deployment and measurable impact.
  • Deep understanding of modern AI approaches, including LLMs, RAG architectures, semantic search, embeddings, and knowledge systems.
  • Experience establishing evaluation frameworks, experimentation practices, and performance metrics for AI solutions.
  • Ability to translate ambiguous challenges into clear strategy, execution plans, and business outcomes.
  • Exceptional communication and stakeholder-management skills with the ability to influence technical, product, and executive audiences.
  • Experience working with large-scale structured, semi-structured, and unstructured data in production environments.
  • A passion for advancing science, expanding access to knowledge, developing people, and applying AI to create meaningful real-world impact.

Why Join Elsevier
Because your leadership will matter.
You will lead teams building AI systems that help researchers discover knowledge faster, assess evidence more effectively, generate new insights, and accelerate scientific progress.
U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates.If performed in Maryland, the base pay range is $121,200 - $201,900.If performed in New York, the base pay range is $126,900 - $211,500.If performed in New York City, the base pay range is $138,400 - $230,700.If performed in Rochester, NY, the base pay range is $115,400 - $192,300.If performed in New Jersey, the base pay range is $136,213 - $217,587.This job is eligible for an annual incentive bonus.
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