CrawlJobs Logo

Forward Deployed Data Scientist

Nory

Location Icon

Location:
United Kingdom , London

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided

Job Description:

We’re now hiring a Forward Deployed Data Scientist to support our growing Enterprise customer base. This is a high-impact, client-facing role at the intersection of Data, Product and Customer Success. You’ll work directly with large hospitality operators to deploy Nory’s AI platform across multi-site estates – ensuring successful rollout, adoption and measurable operational improvement. You won’t just build models. You’ll ensure they land, scale and drive real-world outcomes. You will act as the algorithmic face of Nory in Enterprise environments – building trust in our AI, validating that it works, and helping operators understand how to get the most value from it.

Job Responsibility:

  • Own technical delivery within Enterprise rollouts, ensuring high-quality deployment across multi-site estates
  • Drive launch excellence and time-to-value, accelerating site activation and embedding Nory into daily operational workflows
  • Design and run validation analyses, proving whether Nory’s models are working, where they’re not, and how performance can be improved
  • Turn ambiguity into structured execution, breaking down complex operational problems into analytical frameworks, experiments and measurable outcomes
  • Interrogate customer data deeply, using SQL, dbt, BI tools and modern data stacks to surface actionable insight
  • Build trust in AI-driven decisions, clearly explaining forecasting logic, model trade-offs and experimentation principles to senior stakeholders
  • Solve customer problems pragmatically, bridging technical gaps with lightweight Python solutions, automations or workflow improvements without defaulting to new product builds
  • Support Enterprise pilots and solution design, contributing technical credibility during pre- and post-sales cycles
  • Operate across multiple concurrent engagements, balancing pace, quality and prioritisation
  • Act as a strategic feedback loop into Product and ML, translating frontline deployment learnings into roadmap influence and scalable improvements

Requirements:

  • STEM degree or equivalent technical certification
  • 6+ years in a technical, client-facing role within technology or consulting
  • Experience supporting or leading large-scale implementations, pilots or multi-site rollouts
  • Advanced SQL skills and experience with modern data stacks (e.g. dbt, Snowflake, BigQuery or similar)
  • Strong understanding of experimentation, confidence intervals, model evaluation and practical ML limitations
  • Comfortable using Python to prototype, automate and solve integration challenges
  • Proven ability to build trust with senior stakeholders and operate confidently in high-stakes environments

Nice to have:

  • Background in top-tier analytics or strategy consulting with exposure to tech-enabled transformation
  • Experience operating in environments without established playbooks, where you helped define best practices
  • Exposure to multi-unit retail, hospitality or operational businesses where margin and execution discipline are critical
  • Experience in influencing product roadmaps based on customer deployment insight
  • International Enterprise exposure, particularly US markets
What we offer:
  • Meaningful equity – at Nory everyone is an owner
  • 35 days of paid leave per year (including bank holidays)
  • Comprehensive private health insurance via Irish Life (Ireland) and Axa (UK)
  • Enhanced parental leave and baby loss support
  • Learning & development culture – €1000 personal annual budget + quarterly book budget
  • €250 home office workspace budget
  • Regular team offsites & socials

Additional Information:

Job Posted:
February 21, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Forward Deployed Data Scientist

Forward Deployed Data Scientist

The Research, Analytics & Data Science (RAD) team at Intercom uses data and insi...
Location
Location
United States , San Francisco
Salary
Salary:
197600.00 - 225500.00 USD / Year
intercom.com Logo
Intercom
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven ability to apply data science in real-world business contexts to drive measurable outcomes
  • Strong collaboration mindset
  • skilled at working across Sales, Success, Product, and Engineering
  • High adaptability and ownership: able to shift between deep technical analysis and high-level strategic framing
  • Excellent communication skills, both technical and non-technical
  • Rapidly prototype bespoke solutions for customers - knowing when lightweight analysis is sufficient versus when to scale
  • Excellent SQL skills and fluency in Python/R, with experience applying analytical and statistical methods to business problems
  • Experience with AI/ML evaluation, LLM-driven applications, or conversational AI
  • Willing to travel and work on-site with customers to build deep relationships and uncover insights firsthand
Job Responsibility
Job Responsibility
  • Drive the adoption of Fin by helping customers automate and scale their support operations
  • Embed with strategic customers to understand their support workflows, data, and business challenges — to identify and implement opportunities where AI can deliver measurable impact
  • Steer customers toward best practices in measurement and AI adoption to realize the full value of Fin
  • Partner closely with Sales, Success, and Product to deliver seamless customer experiences and successful deployments, and to create feedback loops that shape product development
  • Use AI to prototype, test, and scale data-driven solutions, building tools that make us faster and more effective in driving Fin adoption and customer impact
What we offer
What we offer
  • Competitive salary and meaningful equity
  • Comprehensive medical, dental, and vision coverage
  • Regular compensation reviews - great work is rewarded!
  • Flexible paid time off policy
  • Paid Parental Leave Program
  • 401k plan & match
  • In-office bicycle storage
  • Fun events for Intercomrades, friends, and family!
  • Fulltime
Read More
Arrow Right

Forward-Deployed Data Scientist, AI Deployment

As our customer base continues to grow with the excitement around BrazeAI, we’re...
Location
Location
United States , New York City
Salary
Salary:
145800.00 - 2178000.00 USD / Year
braze.com Logo
Braze
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required
  • Master’s or PhD in a relevant technical discipline preferred
  • 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments
  • Experience in customer-facing or consulting roles is strongly preferred
  • Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost)
  • Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
  • You write well-structured, modular, documented code
  • follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews)
  • and can build scalable, maintainable solutions
Job Responsibility
Job Responsibility
  • Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
  • Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
  • Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms
  • Contribute to shaping OfferFit’s product strategy and roadmap through customer-facing insights and technical expertise
  • Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success
What we offer
What we offer
  • Competitive compensation that may include equity
  • Retirement and Employee Stock Purchase Plans
  • Flexible paid time off
  • Comprehensive benefit plans covering medical, dental, vision, life, and disability
  • Family services that include fertility benefits and equal paid parental leave
  • Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
  • A curated in-office employee experience, designed to foster community, team connections, and innovation
  • Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
  • Employee Resource Groups that provide supportive communities within Braze
  • Fulltime
Read More
Arrow Right

Senior Forward-Deployed Data Scientist, AI Deployment

Join our Field Data Scientist group of creative technical experts who partner wi...
Location
Location
United States , New York City
Salary
Salary:
145800.00 - 2178000.00 USD / Year
braze.com Logo
Braze
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required
  • Master’s or PhD in a relevant technical discipline preferred
  • 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments
  • Experience in customer-facing or consulting roles is strongly preferred
  • Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost)
  • Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
  • You write well-structured, modular, documented code
  • follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews)
  • and can build scalable, maintainable solutions
Job Responsibility
Job Responsibility
  • Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
  • Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
  • Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms
  • Contribute to shaping OfferFit’s product strategy and roadmap through customer-facing insights and technical expertise
  • Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success
What we offer
What we offer
  • Competitive compensation that may include equity
  • Retirement and Employee Stock Purchase Plans
  • Flexible paid time off
  • Comprehensive benefit plans covering medical, dental, vision, life, and disability
  • Family services that include fertility benefits and equal paid parental leave
  • Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
  • A curated in-office employee experience, designed to foster community, team connections, and innovation
  • Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
  • Employee Resource Groups that provide supportive communities within Braze
  • Fulltime
Read More
Arrow Right

Partner Solutions Architect

As a Partner Solutions Architect on the Applied AI team at Fireworks AI, you'll ...
Location
Location
United States , New York; San Mateo
Salary
Salary:
Not provided
fireworks.ai Logo
Fireworks AI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years in technical customer/partner-facing roles (Solutions Architect, Sales Engineer, Forward Deployed Engineer, customer facing Data Scientist)
  • Proven ability to both build (write code, create demos, architect solutions) and evangelize (present, teach, build relationships)
  • Python skills and experience with cloud infrastructure (AWS, GCP, Azure)
  • Familiarity with LLM frameworks, ML tooling, or data science background
  • Track record partnering with cloud providers, SIs, or ISVs on complex technical projects
  • Exceptional communication skills across C-suite, engineering teams, and business stakeholders
  • Excitement for fast-paced environments where you balance competing priorities across engineering, partnerships, and sales
Job Responsibility
Job Responsibility
  • Serve as the technical authority and owner between Fireworks partnerships, product, engineering, and sales teams
  • Identify high value partners to develop relationships and build technical integrations with reference architectures
  • Embed with partner technical teams to enable their AI practices and evangelize Fireworks through their developer communities
  • Serve as escalation point for complex technical issues and unblock strategic customer deals
  • Build production-ready demos, reference architectures, and integrations with partner platforms
  • Develop joint solutions for high-value industry-specific GenAI applications
  • Codify best practices to accelerate partner and customer time-to-deployment and first-time-to-value
  • Present and demonstrate Fireworks capabilities at partner events, conferences, and technical workshops
  • Lead partner hands on workshops and developer enablement sessions
  • Drive technical engagement in partner slack channels and developer communities
What we offer
What we offer
  • Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure
  • Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally
  • Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results
  • Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation
  • Fulltime
Read More
Arrow Right
New

Senior Forward Deployed Data Scientist, AI Deployment

Join our Field Data Scientist group of creative technical experts who partner wi...
Location
Location
Romania , Bucharest
Salary
Salary:
Not provided
braze.com Logo
Braze
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required
  • Master’s or PhD in a relevant technical discipline preferred
  • 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments
  • Experience in customer-facing or consulting roles is strongly preferred
  • Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost)
  • Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
  • You write well-structured, modular, documented code
  • follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews)
  • and can build scalable, maintainable solutions
Job Responsibility
Job Responsibility
  • Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
  • Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
  • Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms
  • Contribute to shaping Braze's product strategy and roadmap through customer-facing insights and technical expertise
  • Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success
What we offer
What we offer
  • Competitive compensation that may include equity
  • Retirement and Employee Stock Purchase Plans
  • Flexible paid time off
  • Comprehensive benefit plans covering medical, dental, vision, life, and disability
  • Family services that include fertility benefits and equal paid parental leave
  • Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
  • A curated in-office employee experience, designed to foster community, team connections, and innovation
  • Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
  • Employee Resource Groups that provide supportive communities within Braze
  • Fulltime
Read More
Arrow Right
New

Senior Forward Deployed Data Scientist, AI Deployment

As our customer base continues to grow with the excitement around BrazeAI, we’re...
Location
Location
France , Paris
Salary
Salary:
Not provided
braze.com Logo
Braze
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required
  • Master’s or PhD in a relevant technical discipline preferred
  • 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments
  • Experience in customer-facing or consulting roles is strongly preferred
  • Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost)
  • Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
  • You write well-structured, modular, documented code
  • follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews)
  • and can build scalable, maintainable solutions
Job Responsibility
Job Responsibility
  • Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
  • Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
  • Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms
  • Contribute to shaping Braze's product strategy and roadmap through customer-facing insights and technical expertise
  • Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success
What we offer
What we offer
  • Competitive compensation that may include equity
  • Retirement and Employee Stock Purchase Plans
  • Flexible paid time off
  • Comprehensive benefit plans covering medical, dental, vision, life, and disability
  • Family services that include fertility benefits and equal paid parental leave
  • Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
  • A curated in-office employee experience, designed to foster community, team connections, and innovation
  • Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
  • Employee Resource Groups that provide supportive communities within Braze
  • Fulltime
Read More
Arrow Right
New

Forward Deployed Data Scientist, AI Deployment

Join our Field Data Scientist group of creative technical experts who partner wi...
Location
Location
France , Paris
Salary
Salary:
Not provided
braze.com Logo
Braze
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required
  • Master’s or PhD in a relevant technical discipline preferred
  • 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments
  • Experience in customer-facing or consulting roles is strongly preferred
  • Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost)
  • Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
  • You write well-structured, modular, documented code
  • follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews)
  • and can build scalable, maintainable solutions
Job Responsibility
Job Responsibility
  • Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
  • Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
  • Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms
  • Contribute to shaping Braze's product strategy and roadmap through customer-facing insights and technical expertise
  • Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success
What we offer
What we offer
  • Competitive compensation that may include equity
  • Retirement and Employee Stock Purchase Plans
  • Flexible paid time off
  • Comprehensive benefit plans covering medical, dental, vision, life, and disability
  • Family services that include fertility benefits and equal paid parental leave
  • Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
  • A curated in-office employee experience, designed to foster community, team connections, and innovation
  • Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
  • Employee Resource Groups that provide supportive communities within Braze
  • Fulltime
Read More
Arrow Right
New

Forward Deployed Data Scientist, AI Deployment

As our customer base continues to grow with the excitement around BrazeAI, we’re...
Location
Location
Romania , Bucharest
Salary
Salary:
Not provided
braze.com Logo
Braze
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required
  • Master’s or PhD in a relevant technical discipline preferred
  • 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments
  • Experience in customer-facing or consulting roles is strongly preferred
  • Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost)
  • Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
  • You write well-structured, modular, documented code
  • follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews)
  • and can build scalable, maintainable solutions
Job Responsibility
Job Responsibility
  • Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
  • Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
  • Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms
  • Contribute to shaping Braze's product strategy and roadmap through customer-facing insights and technical expertise
  • Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success
What we offer
What we offer
  • Competitive compensation that may include equity
  • Retirement and Employee Stock Purchase Plans
  • Flexible paid time off
  • Comprehensive benefit plans covering medical, dental, vision, life, and disability
  • Family services that include fertility benefits and equal paid parental leave
  • Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
  • A curated in-office employee experience, designed to foster community, team connections, and innovation
  • Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
  • Employee Resource Groups that provide supportive communities within Braze
  • Fulltime
Read More
Arrow Right