SEARCH ALL
OUR DATA JOBS

To Apply for this Job Click Here

Director/Senior Director, Data Science and Machine Learning

Location: San Francisco

Hybrid (2-3 days in office per week)

Salary: $250-300k base + bonus + equity

A growing digital healthcare technology company seeking a Data Science Leader to join our team. This player-coach role combines technical execution with strategic leadership, guiding high-impact AI and machine learning projects while mentoring a team of data scientists and data engineers.

You’ll work closely with Product Development, Customer Experience, and Solution Consulting to deliver actionable business and clinical insights for biotech and pharmaceutical companies.

Key Responsibilities

• Lead and mentor the Data Science team, ensuring high-quality delivery of advanced analytics and ML solutions.

• Drive the design of scalable Analytics Data Models and secure, production-level code.

• Guide research and productionalization of machine learning solutions to enhance the user experience of the platform

• Oversee Data Engineering functions to integrate structured and unstructured data into the data warehouse, delivering business intelligence reporting
• Ensure the data and engineering team produces production code at high quality within the architecture, emphasizing insights, compliance, and scalability

• Collaborate cross-functionally to enhance products and ensure operational excellence.

• Stay current on emerging technologies to drive innovation.

Who You Are

• 3+ years managing Data Science or Advanced Analytics teams.

• 7+ years in advanced biopharma analytics for Commercial or Market Access.

• Strong in Python, SQL, ML methodologies (e.g., regression, NLP, time series).

• Experienced with data modeling, ETL processes, and Snowflake environments.

• Effective communicator with strong prioritization and organizational skills.

• M.S. in Computer Science, Engineering, Data Science, or related field.

If you’re passionate about healthcare innovation and want to drive meaningful impact in a fast-paced environment, we’d love to hear from you.

To Apply for this Job Click Here

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.

To Apply for this Job Click Here

To Apply for this Job Click Here

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

Title: Forward Deployed Engineer

Location/Schedule:

San Francisco HQ (Strong in-office culture) – 5 days a week onsite

✈️ Frequent travel to client sites (nationwide)

Company/Role Overview:

Our client is helping companies unlock the power of Large Language Models by turning ideas into production-ready AI systems-fast. As an AI Solutions Engineer, you’ll sit at the beating heart of our client relationships, guiding teams from the initial idea to a fully deployed solution. You’ll be a trusted technical partner to account executives and a hands-on builder for our clients, transforming ambiguity into clean, scalable AI deployments.

This is not a behind-the-scenes role. You’ll be in the room where it happens-on discovery calls, in whiteboard sessions, and onsite with clients-helping architect, implement, and explain AI-powered workflows that change the way businesses operate.

If you’re excited by messy problems, love talking to customers, and can wire up APIs with one hand while sketching systems diagrams with the other, this might be your dream job.

Responsibilities:

• Partner with Sales and Customer Success teams to support the entire customer journey-from presales discovery through full post-sales implementation.
• Lead technical discovery calls with customers to uncover their pain points and explore AI use cases.
• Design high-level architecture and integration pathways, then own the implementation from start to finish.
• Write lightweight code (Python, JS) to connect APIs, automate workflows, and deploy LLM solutions.
• Translate complex LLM behavior and edge cases into clear, actionable insights for both technical and non-technical audiences.
• Travel frequently to work onsite with clients and ensure hands-on, successful delivery.
• Act as a key voice in evolving how we deploy AI-your feedback will shape our platform, playbooks, and product direction.

Qualifications (Must-Have):

• 3-7 years of experience in solutions engineering, product-minded software engineering, startup founding, or any role where you’ve taken something from zero to production with a customer in the loop.
• Strong understanding of REST APIs, JSON, and the ability to quickly prototype with Python.
• Comfort with ambiguity-you know how to make progress without perfect specs or ideal environments.
• Clear and confident communicator-you can tailor your technical explanations to any audience.
• Comfortable operating in a fast-paced, early-stage startup-you’re ambitious, gritty, and obsessed with doing great work.

Bonus Points For:

• Experience deploying or integrating LLMs or other AI/ML systems.
• Familiarity with enterprise environments and integration constraints (SAML, SOC2, etc).
• Startup or consultancy background with strong client exposure.
• Prior technical sales or sales engineering experience.

Benefits:

• Competitive salary + equity at a high-growth startup
• Full medical, dental, and vision coverage
• Frequent travel and client-facing opportunities

All applicants must be fully authorized to work in the U.S. to qualify. Our client is unable to offer sponsorship for this role at this time.

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

DATA SCIENTIST / DATA ENGINEER

UP TO 60K€ PACKAGE

2-3 JOURS DE TÉLÉTRAVAIL

Python – SQL – Pyspark – AWS – Tableau

Une startup parisienne dans le domaine de la santé recherche un Data Scientist / Data engineer expérimenté. Si l’environnement startup vous intéresse, alors cette offre est faite pour vous !

LE POSTE

Rattaché au Head of Data, vous rejoindrez l’équipe data composée de deux personnes. Vous serez en charge de l’extraction, la collecte et l’interprétation des données à fort enjeux business. Vos missions au quotidien :

• Collecter, centraliser et organiser les données s’assurant de leur qualité et leur disponibilité
• Détecter et corriger les données erronées, doublons ou incohérences, tout en garantissant un entrepôt de données bien structuré
• Améliorer occasionnellement des pipelines de données, concevoir des algorithmes d’analyse et des modèles prédictifs fiables, créer des POC sur des sujets IA
• Créer des dashboards, rapports et visualisations claires pour aider les équipes métier à exploiter les données
• Suivre les innovations data, proposer de nouvelles approches/outils pour améliorer les pratiques du pôle data

VOTRE PROFIL

• Bac+5 au sein d’une top école d’ingénieur en mathématiques, statistiques ou data science
• Minimum 2 ans expérience sur un poste similaire au sein d’une startup/scaleup avec une forte orientation produit
• Expérience solide sur les langages de programmation SAS, SPSS, Python, SQL, Pyspark
• Bonne maîtrise des modèles d’apprentissage automatique
• Maîtrise d’un cloud public (AWS, GCP ou Azure)
• Vous êtes autonome, bon communicant et aimez le travail d’équipe

POUR POSTULER

Merci de joindre votre cv à jour et nous reviendrons vers vous rapidement.

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

To Apply for this Job Click Here

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

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

To Apply for this Job Click Here

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