data & ai RECRUITMENT in miami

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DATA SCIENTIST (PRICING)

£70,000 + BENEFITS

PRIMARILY REMOTE

If you’re are a highly educated individual (MSc, PhD) looking to work on meaningful data science problems in a remote, research-led environment, this could be a great fit.

THE COMPANY:

I’m working on a fantastic opportunity with a fast-growing SaaS company that’s transforming how the hospitality sector approaches pricing and forecasting. The team is applying advanced ML techniques to solve real commercial problems-everything from demand forecasting to booking behaviour clustering and light NLP use cases.

THE ROLE:

You’d join a high-calibre team in a full-stack data science role. This role will be deeply analytical and mathematical, with an emphasis on exploratory modelling and research-driven development. You will set and optimise prices, using statistical techniques and bespoke modelling solutions. A Data Scientist (Pricing) will need to:

• Build prototypes and conduct in-depth experimentation using Python and Pandas
• Research and develop new pricing models
• Apply statistical and machine learning techniques
• Explore and test data-driven approaches to price sensitivity and elasticity
• Collaborate with a highly technical team

YOUR SKILLS AND EXPERIENCE:

A successful Data Scientist will have the following skills and experience:

• MSc or PhD level of education
• Strong Python skills and experience with Pandas
• A solid foundation in Statistics and ML.
• Experience with pricing

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £70,000 On top of the salary there are some fantastic extra benefits.

HOW TO APPLY

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

DATA SCIENTIST (FORECASTING)

£70,000 + BENEFITS

PRIMARILY REMOTE

If you’re are a highly educated individual (MSc, PhD) looking to work on meaningful data science problems in a remote, research-led environment, this could be a great fit.

THE COMPANY:

I’m working on a fantastic opportunity with a fast-growing SaaS company that’s transforming how the hospitality sector approaches pricing and forecasting. The team is applying advanced ML techniques to solve real commercial problems-everything from demand forecasting to booking behaviour clustering and light NLP use cases.

THE ROLE:

You’d join a high-calibre team in a full-stack data science role where you’ll build and deploy models end-to-end, owning projects from experimentation to production. A Data Scientist (forecasting) will need to:

• Building and deploying ML models (Python, Pandas, GCP)
• Forecasting revenue
• Exploring clustering techniques
• Applying NLP to classify ancillary bookings
• Collaborating with a small, high-calibre team of PhD-level Data Scientists, Engineers, and wider product team

YOUR SKILLS AND EXPERIENCE:

A successful Data Scientist will have the following skills and experience:

• MSc or PhD level of education
• Strong Python skills and experience with Pandas
• Cloud experience e.g. GCP
• A solid foundation in Statistics and ML.
• Experience with forecasting

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £70,000 On top of the salary there are some fantastic extra benefits.

HOW TO APPLY

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

AI ENGINEER

£70,000 + BENEFITS

PRIMARILY REMOTE

Make a real-world impact in an industry that needs smarter, more sustainable solutions. Join a fast-growing SaaS company on the cutting edge of Generative AI and document intelligence.

THE COMPANY:

I’m working with tech company that’s making a real impact in ESG, supply chain risk, and sustainability. This client is looking for a hands-on AI Engineer with AI/ML tooling experience to help build and prototype LLM-powered workflows.

THE ROLE:

This client are hiring an AI Engineer to:

• Prototype and build GenAI tools for LLM-driven document reasoning
• Develop microservices and APIs (FastAPI, Kubernetes) with solid CI/CD practices
• Work on multimodal datasets: documents, images, structured content
• Collaborate cross-functionally with product and data teams
• Influence the direction of emerging AI tools

YOUR SKILLS AND EXPERIENCE:

A successful AI Engineer will have the following skills and experience:

• Strong Python with AI/ML exposure
• Experience with LLMs, RAG pipelines, document extraction
• Prior work with multimodal data (NLP, CV, tabular)

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £70,000 On top of the salary there are some fantastic extra benefits.

HOW TO APPLY

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

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RISK DATA SCIENTIST (ESG & Supply Chain)

£70,000 + BENEFITS

PRIMARILY REMOTE

Make a real-world impact in an industry that needs smarter, more sustainable solutions. This role would suit someone who enjoys end-to-end ownership, communicating with non-technical stakeholders, and building models from scratch using Python and SQL.

THE COMPANY:

I’m working with construction tech company that’s making a real impact in ESG, supply chain risk, and sustainability. This is a hands-on, high-impact role where you’d work closely with a small, collaborative product team-shaping how financial, ESG, and supply chain data is turned into actionable insights.

THE ROLE:

This client are hiring a Risk Data Scientist to take full ownership of modelling efforts across their core risk platform.

A Data Scientist (Risk) will need to:

• Take end-to-end ownership of risk modelling across financial, ESG, and supply chain data
• Design and implement models from scratch using Python and SQL
• Collaborate closely with the cross-functional product team
• Contribute to GenAI-powered reporting tools

YOUR SKILLS AND EXPERIENCE:

A successful Data Scientist will have the following skills and experience:

• Solid experience in risk modelling
• Strong Python and SQL skills
• A solid foundation in Statistics and ML.
• Experience with end to end product ownership

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £70,000 On top of the salary there are some fantastic extra benefits.

HOW TO APPLY

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

DATA SCIENTIST (FORECASTING)

£70,000 + BENEFITS

PRIMARILY REMOTE

If you’re are a highly educated individual (MSc, PhD) looking to work on meaningful data science problems in a remote, research-led environment, this could be a great fit.

THE COMPANY:

I’m working on a fantastic opportunity with a fast-growing SaaS company that’s transforming how the hospitality sector approaches pricing and forecasting. The team is applying advanced ML techniques to solve real commercial problems-everything from demand forecasting to booking behaviour clustering and light NLP use cases.

THE ROLE:

You’d join a high-calibre team in a full-stack data science role where you’ll build and deploy models end-to-end, owning projects from experimentation to production. A Data Scientist (forecasting) will need to:

• Building and deploying ML models (Python, Pandas, GCP)
• Forecasting revenue
• Exploring clustering techniques
• Applying NLP to classify ancillary bookings
• Collaborating with a small, high-calibre team of PhD-level Data Scientists, Engineers, and wider product team

YOUR SKILLS AND EXPERIENCE:

A successful Data Scientist will have the following skills and experience:

• MSc or PhD level of education
• Strong Python skills and experience with Pandas
• Cloud experience e.g. GCP
• A solid foundation in Statistics and ML.
• Experience with forecasting

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £70,000 On top of the salary there are some fantastic extra benefits.

HOW TO APPLY

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead Data Scientist – LLMs – Remote

In this role, you’ll lead cross-functional data science projects from concept to delivery, working on a range of challenges-from machine learning and GenAI to speech-to-text applications. You’ll play a key role in transforming complex data into clear insights that inform decisions and create measurable business outcomes.

This is a hands-on leadership position that blends technical depth, team collaboration, and strategic thinking. We’re looking for someone who can bring clarity to complexity and innovation to everyday challenges.

What You’ll Do:

• Lead and manage end-to-end data science projects, ensuring timely, high-quality delivery.
• Develop and deploy machine learning solutions using Python, including applications in natural language processing (NLP) and speech-to-text technologies.
• Translate analytical results into business-relevant insights for both technical and non-technical stakeholders.
• Mentor junior analysts and data scientists, providing technical guidance and supporting professional development.
• Collaborate closely with data engineering, product, and business teams to integrate data science solutions into core workflows.
• Contribute to business development by supporting proposals, client engagements, and solution design.
• Help shape the strategic direction of the data science function, including planning and prioritization.

What You Bring:

• Strong experience delivering full-lifecycle data science projects in production environments.
• Proficiency in Python and data science libraries, with a focus on writing clean, maintainable code.
• Hands-on expertise with speech-to-text systems, including model selection, audio data processing, transcription accuracy, and integration into business applications.
• Experience working with NLP and GenAI/LLMs, including prompt engineering, fine-tuning, and evaluation.
• Strong communication skills, with the ability to explain technical concepts to business stakeholders.
• Proven track record of managing multiple projects and leading teams in fast-paced environments.
• Experience collaborating with cross-functional teams to ensure smooth deployment of solutions.

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Job Title: Staff Data Scientist

Location: Remote (US Only)

Salary: $200-250k base + equity

About the Company:

Join a mission-focused organization dedicated to revolutionizing global education by providing innovative learning experiences beyond the traditional classroom. The company’s app is widely used across U.S. schools and impacts millions of children worldwide.

Their team is made up of talented and creative professionals with backgrounds in education and top consumer internet companies such as Instagram, Netflix, Dropbox, Stripe, and Uber. They cultivate an environment where top talent can thrive. If you’re eager to work with some of the best minds in the industry, we encourage you to apply!

Position Summary:

As a Staff Data Scientist, you will be a key player in developing the world’s leading consumer education platform. You will be part of a high-achieving, cross-functional team working closely with product, engineering, and design to shape the company’s strategic direction and tackle challenging product and business issues.

Key Responsibilities:

• Utilize data-driven insights to inform decisions and drive our brand toward new milestones
• Work collaboratively with various teams to discover user insights and pinpoint essential product improvements
• Design and analyze AB/multivariate tests to derive actionable conclusions that boost user engagement
• Lead data science projects, influencing strategic choices and addressing complex problems

Your Skills and Experience:

• 8+ years of experience in data science and product analytics
• Experience in the consumer technology sector
• Proficient in writing efficient SQL queries for large datasets
• Skilled in designing and analyzing A/B tests
• Strong understanding of growth strategies for consumer products
• Experience working in fast-paced startup environments
• Excellent verbal and written communication skills
• Strategic thinker with a keen focus on product development
• Innovative approach to using data to drive product strategy

To Apply for this Job Click Here

To Apply for this Job Click Here

Job Title: Staff Data Scientist

Location: Remote (US Only)

Salary: $200-250k base + equity

About the Company:

Join a mission-focused organization dedicated to revolutionizing global education by providing innovative learning experiences beyond the traditional classroom. The company’s app is widely used across U.S. schools and impacts millions of children worldwide.

Their team is made up of talented and creative professionals with backgrounds in education and top consumer internet companies such as Instagram, Netflix, Dropbox, Stripe, and Uber. They cultivate an environment where top talent can thrive. If you’re eager to work with some of the best minds in the industry, we encourage you to apply!

Position Summary:

As a Staff Data Scientist, you will be a key player in developing the world’s leading consumer education platform. You will be part of a high-achieving, cross-functional team working closely with product, engineering, and design to shape the company’s strategic direction and tackle challenging product and business issues.

Key Responsibilities:

• Utilize data-driven insights to inform decisions and drive our brand toward new milestones
• Work collaboratively with various teams to discover user insights and pinpoint essential product improvements
• Design and analyze AB/multivariate tests to derive actionable conclusions that boost user engagement
• Lead data science projects, influencing strategic choices and addressing complex problems

Your Skills and Experience:

• 8+ years of experience in data science and product analytics
• Experience in the consumer technology sector
• Proficient in writing efficient SQL queries for large datasets
• Skilled in designing and analyzing A/B tests
• Strong understanding of growth strategies for consumer products
• Experience working in fast-paced startup environments
• Excellent verbal and written communication skills
• Strategic thinker with a keen focus on product development
• Innovative approach to using data to drive product strategy

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Pricing Data Scientist

London

Hybrid (1 day per week in office)

Up to £85,000

Company:

I’m hiring for a fast-growing InsurTech that’s reshaping how insurance pricing is done. They’ve attracted major investment and are building out a best-in-class pricing and data science team to support their rapid growth. As a Senior Pricing Data Scientist, you’ll play a key role in designing and deploying advanced pricing models that directly impact revenue and profitability

The Role:

• Build and deploy pricing models using statistical and machine learning techniques
• Analyse large datasets to understand risk and performance across products
• Develop pricing strategies that support customer growth and profitability
• Work closely with engineering and product teams to integrate models into live systems
• Modelling market insurance premiums on/for aggregators
• Present pricing insights and strategy recommendations to senior stakeholders

Experience Required:

• Experience in insurance pricing (motor, home, travel, or similar)
• Strong Python and SQL skills
• Experience building pricing models (GLMs essential, ML models a plus)
• Experience modelling insurance premiums
• Strong communication skills, comfortable working with senior stakeholders
• Degree in a STEM subject

Benefits:

Up to £85,000 base salary

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To Apply for this Job Click Here

Senior Staff Machine Learning Engineer – Recommendation Systems

Location: New York (Hybrid – 4 days onsite)

Compensation: Total package between $600,000 – $800,000

(Base salary: $315,000-$370,000 + Equity + Exceptional Benefits)

THE COMPANY

This hyper-growth, global e-commerce leader is transforming how businesses deliver personalized and relevant experiences at the point of purchase. With a strong focus on cutting-edge AI/ML technologies, this organization is scaling rapidly and looking to expand their world-class engineering team.

THE ROLE

As a Principal Machine Learning Engineer, you’ll play a critical role in shaping the next generation of intelligent decision-making systems. You’ll partner with product and engineering teams to build and productionize ML solutions that drive relevance and performance in real-time, at scale. Key focus areas include smart bidding, lookalike modeling, budget pacing, and personalized recommendations.

Key Responsibilities:

• Collaborate with cross-functional teams to define, architect, and deploy ML solutions to complex business problems.
• Design and build production-ready ML models, data processing pipelines, and robust deployment systems.
• Contribute to scalable codebases, with a strong emphasis on testing (unit, integration, performance).
• Explore and prototype state-of-the-art models, conducting both offline and online experiments.
• Share knowledge through tech talks, internal workshops, and mentorship.

YOUR SKILLS & EXPERIENCE

• PhD or Master’s in Machine Learning or a related field
• 10+ years of industry experience building end-to-end production ML systems
• Strong background in AWS, TensorFlow, Feature Store technologies, and orchestration tools (e.g., Kubeflow)
• Expertise in at least two of the following: Bayesian methods, recommender systems, multi-task learning, meta-learning, CTR or CVR modeling
• Bonus: Familiarity with architectures such as DCNv2, MMOE, Deep & Wide, or ESMM

BENEFITS

• Equity in a high-growth business
• Premium, fully covered health insurance for you and your family
• 401(k) with 4% dollar-for-dollar match
• Catered lunch and snacks daily
• Global travel opportunities
• Collaborative, inclusive culture with a strong focus on diversity and innovation

HOW TO APPLY

If you’re a senior-level ML engineer looking to make a real-world impact in a high-scale, high-growth environment, apply now to speak with one of our specialist recruiters.

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Data Scientist

1 day a month in London (expensed)

We are working with a networking organisation that specialises in financial services. They are looking to add their first Data Scientist to the team to lead on projects from start to finish. You will build a scoring model to match customers to the client and be able to work closely with stakeholders.

You will need:

• 3-5 years Data Science experience
• Python & SQL
• Predictive Modelling, Statistical Analysis experience
• Strong communication and stakeholder skills
• Have worked in a small organisation

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