ORLANDO DATA & AIÂ RECRUITMENT
OVERVIEW
Harnham Data Recruitment is a specialist Data & AI recruitment agency that helps businesses in Orlando and across Central Florida find top-tier artificial intelligence and data professionals for a range of industries, including healthcare, real estate, analytics, and technology. We partner with start-ups, Fortune 500 companies, and growing enterprises like Orlando Health, ensuring they have access to the best AI-driven solutions and AI-powered solutions to drive business success.
From Universal Orlando Resort to emerging tech companies like Biz4Group LLC, Orlando is a rapidly growing hub for advanced technologies and AI-driven recruitment. As a versatile software development company and analytics company, we help organizations looking for AI-enabled candidate sourcing to build strong project management teams that specialize in generative AI, natural language processing, and advanced analytics solutions.
Whether you're a business owner in Seminole County looking to enhance customer service, or a company seeking strategic planning for complex projects, our expert recruitment teams provide fractional CMO services, DevOps managed services, and cross-functional teams to ensure strong communication between clients and top AI talent.
DATA & AI RECRUITMENT AND STAFFING
HOW WE DO IT
Just like the Data & AI professionals we place, Harnham use tried and tested models in our recruitment processes.
At Harnham, we apply AI-driven solutions to the hiring process, ensuring businesses secure exceptional talent with strong backgrounds in artificial intelligence and data science. Our recruitment process involves:
- Identifying key AI and analytics roles, including Software Engineers, Deep Learning Engineers, and professionals specializing in AI/ML-enhanced photonics applications.
- Leveraging industry insights to match businesses with professionals adept at using AI-powered automation, AI-enhanced resumes, and generative AI tools.
- Ensuring cultural and skill alignment, so candidates bring hands-on experience and exceptional project management abilities to your business.
Orlando’s growing technology sector, with companies like Novatio Solutions and UDS Technology, benefits from a collaborative team environment, where AI experts work alongside cross-functional data analytics teams to develop advanced ML solutions.
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WHAT SETS US APART FROM OTHER ORLANDO DATA RECRUITMENT AGENCIES?
What sets Harnham's Data and AI Recruitment apart from other Data and AI Recruitment agencies in Orlando, is our extensive experience in the Data industry as we've been in it for so many years. Our Orlando Data & AI Recruitment team are well informed. Offering insider knowledge, and a wealth of experience.
Unlike traditional AI recruitment services, Harnham offers competitive compensation to attract top-tier AI talent while ensuring exceptional candidate experience. Our deep network of job seekers, AI-related initiatives, and partnerships with Central Florida Public Media allow us to provide:
- AI-powered candidate recommendations, helping businesses increase their candidate pipeline efficiently.
- Access to top talent from Orlando Health, MetroPlan Orlando, and top universities like the University of Central Florida (UCF).
- Strong project management and leadership training, helping businesses build cross-functional teams with deep learning expertise.
Harnham is an opportunity employer focused on team member involvement activities, ensuring all candidates, including individuals with disabilities, are provided employment opportunities in Orlando's AI sector.
DATA AND AI RECRUITMENT FOR Orlando BUSINESSES: WHAT TO EXPECT
When you partner with Harnham, our dedicated HR team ensures you receive regular updates throughout the hiring process, from application tracking systems to AI-driven candidate engagement. We specialize in:
- Recruiting for AI-powered digital products, helping companies develop mobile applications and cloud-based analytics projects.
- Building AI teams for sectors like real estate, analytics leadership roles, and healthcare, ensuring businesses utilize the latest AI-enhanced automation initiatives.
- Supporting businesses with remote opportunities, hybrid capacity hiring, and consulting services for AI-related projects.
If your company needs AI professionals to enhance business intelligence, implement AI-powered decision-making, or develop advanced AI tools, Harnham has the strong background to match you with top-tier candidates.
WHY CHOOSE ORLANDO FOR YOUR AI RECRUITMENT NEEDS?
Orlando is a rising AI and tech hub, home to Universal Orlando, Vandenberg Space Force Base, and innovative companies like Kirby Partners. With growing investments in AI-related initiatives, space telescopes, and complex, multi-year, and multi-location projects, the city is ideal for companies looking to leverage advanced analytics and AI-driven automation.
As part of Central Florida’s growing tech community, we play an active role in connecting businesses with AI professionals through networking events and partnerships with science, engineering & technology firms.
Whether you're hiring for a senior leadership role, building cross-functional teams, or looking for action on candidate data, Harnham provides exemplary service to ensure your company culture aligns with top AI talent.
JOBS
LATEST Florida
DATA JOBS
Harnham are a specialist Data & AI Recruitment business with teams that only focus on niche areas.

Director of Machine Learning Engineer
$220000 - $260000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Director of Machine Learning Engineering
AdTech | Remote – US Based | $220,000 – $260,000 + Bonus + Equity
Are you a hands-on leader who thrives at the intersection of machine learning systems, real-time infrastructure, and business impact?
We’re working with one of the fastest-growing AI-led AdTech platforms in the industry. Recently recognized for award-winning innovation in programmatic advertising, this company is redefining how brands apply custom AI to optimize media buying across major DSPs, Meta, and YouTube.
They’re now seeking a Director of Machine Learning Engineering to lead their end-to-end ML systems – from architecture to deployment – while mentoring a team of senior MLEs and collaborating closely with engineering and product.
If you’re passionate about building robust, scalable ML pipelines and shaping the future of real-time decisioning, this role is for you.
THE ROLE
As Director of Machine Learning Engineering, you’ll:
-
Own the architecture, deployment, and performance of custom ML systems used for large-scale ad bidding and decisioning.
-
Lead the design and optimization of low-latency pipelines built with Databricks, PySpark, Kubernetes, and Rust.
-
Oversee LLM and neural network-based models, ensuring they are production-ready and aligned with business strategy.
-
Collaborate with the Engineering Architect to build resilient, scalable ML infrastructure.
-
Mentor and manage a growing team of 3+ MLEs, fostering high standards in ML software engineering.
-
Guide adoption of emerging technologies like LoRA, quantization, vector stores, and Rust microservices for model serving.
-
Partner cross-functionally to translate business objectives into impactful AI solutions.
SKILLS & EXPERIENCE
To be successful, you will need:
-
8+ years of experience in machine learning engineering, with 3+ years in leadership roles.
-
Deep expertise in building real-time ML systems with Kubernetes, Rust, PySpark, Databricks, and deep learning frameworks like PyTorch or TensorFlow.
-
A proven track record of deploying LLMs and neural networks at scale.
-
Mastery of MLOps tools including MLflow, Prometheus, Grafana, Airflow, etc.
-
Strong cloud and data engineering experience (especially AWS and Databricks).
-
A hands-on mindset with the ability to influence technical architecture and direction.
-
Exceptional collaboration and communication skills across engineering and executive stakeholders.
-
Experience in AdTech or performance marketing is a strong advantage.
BENEFITS
-
Highly competitive base + performance bonuses + equity
-
Unlimited PTO, 11 company holidays, and year-end closure
-
Full medical, dental, vision & 401k options
-
Fully remote role within the US
-
Opportunity to shape a best-in-class AI platform used by global brands
-
Work in a transparent, high-ownership culture that values innovation and technical excellence
Interested in leading at the cutting edge of ML infrastructure in AdTech?
Apply now to connect with a consultant at Harnham.
To Apply for this Job Click Here

Senior Data Scientist / Engineer
Paris
€45000 - €60000
+ Data Engineering
PermanentParis, ÃŽle-de-France
To Apply for this Job Click Here
SENIOR DATA SCIENTIST / 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 Senior Data Scientist / 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 10 école d’ingénieur en mathématiques, statistiques ou data science
- Minimum 3 ans expérience sur un poste similaire au sein d’une startup/scaleup
- Expérience solide avec Python, SQL, Pyspark
- 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

FULL STACK DATA SCIENTIST
Paris
€45000 - €60000
+ Data Science & AI
PermanentParis, ÃŽle-de-France
To Apply for this Job Click Here
FULL STACK DATA SCIENTIST
PARIS (75)
45-60K€
Dans le cadre du développement de l’équipe Data Engineering, nous recrutons un(e) Data Engineer & Scientist Senior.
Le poste s’oriente davantage vers l’engineering, tout en conservant une dimension analytique au service des métiers (RH, marketing, satisfaction client).
VOTRE ROLE
Structurer, organiser et consolider la collecte de données existante
- Maintenir, modifier occasionnellement et faire évoluer des pipelines de données déjà en place
- Être autonome sur les sujets R&D Data, avec une forte composante scientifique (création de POC IA, analyse, modélisation, prédiction)
- Travailler en étroite collaboration avec les équipes métiers (RH, marketing, satisfaction client) pour transformer la donnée brute en insights métier
- Participer à la roadmap technique et scientifique sur 3, 6 et 12 mois, principalement autour des sujets IA et Data Engineering
- Manipuler les données via Python, SQL, PySpark, dans un environnement cloud (préférence AWS mais GCP/Azure possible)
- Construire et alimenter des dashboards avec des outils de data visualisation adaptés
VOTRE PROFIL
- 3 à 6 ans d’expérience en Data Engineering / Data Science
- Vous avez déjà travaillé dans un environnement startup ou scale-up, avec une forte autonomie et un esprit de construction
- Expérience en structuration d’un pôle data ou mise en place de pipelines from scratch appréciée
- Langages & outils : Python, Power BI ou Tableau (must have)
- Outils statistiques : SAS (must have), SPSS (nice to have)
- Cloud : AWS
- Français courant
- Diplômé(e) d’une école d’ingénieur ou grande école
To Apply for this Job Click Here

Senior Data Scientist – Fintech
New York
$170000 - $190000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Senior Data Scientist – Fintech
$170,000-$190,000 + bonus + benefits
Remote
About the Organization
Join a global financial services company delivering intelligent information and technology solutions to professionals in legal, tax, compliance, and corporate sectors. The team is part of the organization’s innovation hub, focused on applying AI, LLM, and data science to create forward-looking tools.
The environment combines the best of both worlds: startup energy with enterprise support. Projects include building agentic systems to automate tax prep and document summarization for legal and financial workflows.
About the Role
This is a model building / development-focused role-ideal for someone with a strong foundation in applied NLP research and a passion for making machine learning work in the real world. You’ll own experiments, iterate on PoCs, and help define how ML models are built for in production environments.
What You’ll Bring
- 5+ years of data scientist (modeling) experience in applied research and production environments
- PhD in Computer Science, Computational Linguistics, Statistics or similar highly preferred
- Experience with LLMs and agents
- Background in: NLP: Named Entity Recognition / NER, information extraction, and information retrieval
- Cloud environments (provider-agnostic), AWS or GCP a plus
- Python, PyTorch, TensorFlow, Hugging Face, BERT, RAG experience preferred
- Publication and patent history a plus
- Strong collaboration and communication skills, including experience working with non-technical stakeholders
- Independent problem-solver with a proactive mindset
Preferred Experience
- Technical leadership on NLP products
- Experience delivering LLM-based solutions
- Familiarity with all stages of the AI product lifecycle
- Startup or fast-paced innovation environment experience
HOW TO APPLY
Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.
KEYWORDS
Machine Learning | GenAI | Gen AI | Generative AI | LLMs | Large Language Models | Artificial Intelligence | Applied Research | Production | AI | Artificial Intelligence | Publications | Patents | PyTorch | Python | Deployment | Hugging Face | RAG | Retreival Augmented Generation | Agents | NLP | Natural Language Processing | Chatbots | NER | Information Extraction | Information Retrieval
To Apply for this Job Click Here

Lead data scientist
€75000 - €80000
+ Data Science & AI
PermanentNouvelle-Aquitaine
To Apply for this Job Click Here
LEAD DATA SCIENTIST
HYBRIDE – UP TO 80K€ FIXES
Python – Docker – AWS
L’ENTREPRISE
C’est une entreprise reconnue dans le secteur automobile depuis plusieurs années. Elle intervient principalement dans la distribution et les services liés aux véhicules. Implantée sur plusieurs marchés, elle mise sur son expertise et son dynamisme pour accompagner ses clients.
LES MISSIONS
En collaboration avec le Directeur Data, vous rejoindrez une équipe de 10 personnes, vous serez en charge de la structuration des pratiques de Data Science. Vos missions seront les suivantes :
- Développer et déployer des modèles de Machine Learning pour répondre aux besoins métiers
- Assurer la maintenance évolutive des modèles
- Définir et mettre en oeuvre les méthodologies de Data Science
- Être orienté business et résultat
VOTRE PROFIL
- Bac+5 au sein d’une école d’ingénieur ou université en mathématiques, statistiques ou probabilités
- Minimum 4 ans d’expérience sur un rôle de data science dans des environnements en production
- Solide maîtrise de Python, Docker et un cloud public
- Niveau d’anglais B1
POUR POSTULER
Merci de me faire part de votre CV et je vous recontacterai au plus vite.
To Apply for this Job Click Here

Generative AI Engineer
€50000 - €60000
+ Data Science & AI
PermanentNetherlands
To Apply for this Job Click Here
Job Title: Generative AI Specialist (Finance Sector – Prompt Engineering)
Location: Amsterdam
Employment Type: Full-time
Department: AI & Innovation – Financial Services
About Us
They are a leading financial institution at the forefront of AI-driven innovation, reshaping how data and technology power decision-making in capital markets, banking, and financial services. The AI team is driving the integration of generative AI and large language models into core business functions-from risk analysis to client interaction. We’re now seeking a Generative AI Specialist with a strong background in prompt engineering to join our growing team.
Role Overview
As a Generative AI Specialist, you will design, develop, and optimize prompt engineering strategies for large language models (LLMs) and other generative tools to automate and enhance financial services workflows. Your work will directly influence trading strategies, reporting automation, regulatory compliance, and client engagement through cutting-edge AI solutions.
Key Responsibilities
- Design and refine prompts for LLMs (e.g., GPT-4, Claude, Mistral) to deliver high-accuracy outputs for financial tasks (e.g., risk summaries, investment analysis, regulatory reports).
- Collaborate with quant teams, data scientists, and engineers to deploy generative AI across front-office, middle-office, and back-office functions.
- Build prompt libraries and reusable AI components that ensure consistency, security, and performance.
- Perform prompt evaluations, A/B testing, and iterative tuning to improve reliability and reduce hallucination risks.
- Stay current with the latest generative AI research and its applications to financial modeling, compliance, and customer engagement.
- Contribute to the development of AI policy, governance, and ethical frameworks in line with regulatory standards (e.g., FINRA, FCA, SEC).
What They’re Looking For
- Proven experience with prompt engineering and working with foundation models (GPT-3.5/4, Claude, LLaMA, etc.).
- Solid understanding of financial markets, instruments, and regulatory frameworks.
- Strong Python skills, including experience with AI/ML libraries (LangChain, OpenAI API, Hugging Face, etc.).
- Ability to translate business needs into technical AI applications and prompt strategies.
- Excellent analytical, problem-solving, and communication skills.
- Familiarity with data privacy, model interpretability, and AI governance is a plus.
- Dutch speaking.
Preferred Qualifications
- Degree in Computer Science, Finance, Data Science, or a related field.
- 1+ years of experience working in finance, fintech, or enterprise AI environments.
- Experience integrating LLMs into enterprise platforms or workflows (e.g., through APIs, plugins, internal tools).
Why Join?
- Be part of a pioneering AI team inside one of the world’s most respected financial institutions.
- Work on high-impact, real-world applications of generative AI in a heavily data-driven domain.
- Competitive compensation and benefits, with opportunities for career growth and leadership.
- Access to state-of-the-art tools, infrastructure, and professional development in a supportive, innovative culture.
To Apply for this Job Click Here

SENIOR DATA SCIENTIST
Poitiers
€60000 - €61000
+ Data Science & AI
PermanentPoitiers, Nouvelle-Aquitaine
To Apply for this Job Click Here
SENIOR DATA SCIENTIST
NOUVELLE-AQUITAINE
60-80K€ + avantages
Cette société industrielle recherche son Senior Data Engineer car elle connaît une accélération forte de sa transformation digitale, notamment autour des sujets data, IA et automatisation des processus.
VOTRE ROLE
- Concevoir, développer et industrialiser des modèles IA (prévisions, scoring, segmentation, optimisation…).
- Structurer la vision Data Science du groupe (cadre méthodologique, bonnes pratiques, outillage).
- Encadrer et faire monter en compétence une future équipe de Data Scientists, tout en étant hands-on au démarrage.
- Travailler en synergie avec les équipes Data Engineering, IT et métiers pour garantir la valeur opérationnelle des cas d’usage IA.
VOTRE PROFIL
- Bac+5 ou doctorat en mathématiques appliquées, machine learning, statistiques ou équivalent.
- 6 à 10 ans en Data Science, dont une expérience significative en déploiement de modèles IA en production.
- Excellente maîtrise de Python, SQL, et des librairies ML (scikit-learn, XGBoost, TensorFlow…).
- Pratique des bonnes méthodes de MLOps : CI/CD, monitoring, automatisation, scalabilité.
- Connaissance des environnements Cloud et data warehouse.
- Leadership, autonomie, rigueur.
- Capacité à vulgariser les sujets IA auprès des équipes métiers.
- Esprit entrepreneurial, orienté impact et résultat.
To Apply for this Job Click Here

Full Stack AI Engineer/ Computer Vision Engineer
London
£450 - £500
+ Computer Vision
ContractLondon
To Apply for this Job Click Here
Full Stack AI Engineer/ Computer Vision Engineer
Initial 4-5 month contract
£500 a day – Outside IR35
Key Skills:
- 3D meshing
- creating segmentation maps
- LLMs – prompt engineering, some RAG and live engineering for meeting insight from text
- Rotating in the 3D world
Nice to have:
- Working with YOLO models
- Experience working with immersive virtual events
- Segmentation map
To Apply for this Job Click Here

Senior Data Scientist
London
£60000 - £70000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior Data Scientist
Reading – Hybrid
Up to £70,000
About the Role
I’m currently partnered with a global leader in data, insights, and consulting who are looking to bring on a Senior Data Scientist to join their highly respected data team.
This is a high-impact opportunity focused on yield optimisation – using data science to drive better consistency, forecast accuracy, and operational efficiency. You’ll work closely with both commercial and technical stakeholders to develop data-driven strategies that improve trading outcomes at scale.
The team is well-established and growing, with excellent visibility across the business and a genuine appetite for data innovation.
Key Responsibilities
- Optimise existing yield and matching models for better consistency and forecasting performance.
- Use statistical analysis to uncover trends in historical trading data and recommend actionable improvements.
- Build and deploy scalable data science solutions that drive measurable business impact.
- Collaborate with developers and commercial leads to implement models into production systems.
- Present insights in a clear, impactful way to senior non-technical stakeholders.
- Own the full data science project lifecycle – from hypothesis to production and iteration.
- Support scenario planning and forecasting for commercial strategy.
What They’re Looking For
- Solid experience in yield, pricing, or forecasting optimisation – ideally within online marketplaces, programmatic media, travel, or insurance.
- Strong technical skills in Python or R, and experience working with SQL and data visualisation tools such as Power BI.
- Familiarity with cloud platforms such as AWS, Redshift, or Azure.
- Strong grasp of forecasting, optimisation, and statistical modelling techniques.
- Confident communicator who can translate technical outputs into business recomme
- ndations.
- Comfortable working in agile, iterative environments with cross-functional teams.
**Please note: Unfortunately, this role does not offer visa sponsorship**
How to Apply:
Please register your interest by sending your CV to Emily Burgess via the Apply link on this page
To Apply for this Job Click Here

Data Scientist
London
£70000 - £80000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Data Scientist
Up to £80,000
London (Hybrid)
Company:
They are an AI-driven climate risk analytics platform that partners with businesses within Insurance, Private Equity, Asset Management and governments to understand and prepare for the physical and transitional impacts of climate change.
Responsibilities:
- Research and implement loss models that quantify climate-related risks, focusing on robustly estimating asset vulnerabilities.
- Calibrate and validate loss models against a wide variety of data sources, both qualitatively and quantitatively to ensure they meet rigorous scientific standards.
- Contribute to building our overall loss modelling framework, ensuring robustness and adaptability across diverse client requirements and geographies
- Model documentation and presentations to engage with stakeholder and customers, all while representing the team at international conferences and industry events
Requirements:
- MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
- 3+ years of experience in a Data Science, Data Analysis, or related role
- Strong hands-on experience with Python and SQL
- Excellent communication skills and stakeholder engagement ability
How to Apply:
Please register your interest by sending your CV to Emily Burgess via the Apply link on this page
To Apply for this Job Click Here

Senior Data Scientist
London
£450 - £480
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Job Opportunity: Marketing & Data Science – Measurement & Modelling
Location: Hybrid (2 days per week in office for first month, flexible after)
Duration: 3 months initially
Rate: £450-480/day (Outside IR35)
Commute: 2 hours by train from Central London
Role Overview:
This role focuses on marketing effectiveness and data science in the retail industry, with a strong emphasis on email campaign measurement, incremental value, and experimentation. The main responsibilities include finalising the Marketing Mix Modelling (MMM) framework, completing the A/B testing framework, and automating marketing analytics processes. The ideal candidate will have experience in causal inference, MMM, and experimentation.
Key Responsibilities:
-
Finalising the MMM framework and modelling (70% complete)
-
Building out the A/B testing framework
-
Automating marketing analytics processes, particularly around experimentation
-
Handling complex data and working with incomplete data
-
Measuring campaign impact and refining marketing strategies
Tech Stack:
-
Core: Databricks, SQL, Python, PySpark
-
Nice to Have: R, dashboarding tools
Ideal Candidate:
-
4-5 years of commercial experience in data science, preferably in an eCommerce or marketing analytics environment
-
Proven experience in causal inference, MMM, and experimentation
-
Strong communication skills and the ability to explain data-driven insights
Interview Process:
-
Stage 1: Technical assessment
-
Stage 2: Knowledge-based interview
To Apply for this Job Click Here

Price Optimisation Data Scientist
London
£500 - £550
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Job Title
Predictive Price Modelling DS
Logistics
-
Contract length: 6 months
-
Day rate: £500-£550 (Outside IR35)
-
Location: Hybrid-2 days/week in London office
Client Context
Work with top-tier retailers and e-commerce brands that demand scientifically rigorous pricing strategies. Your models will directly inform multi-million-pound margin and revenue decisions.
Role Overview
As a Price Modelling Specialist, you’ll lead the design, development and deployment of predictive pricing and elasticity models. You’ll translate data into dynamic pricing rules that maximise revenue, test their impact in-market, and package insights for commercial leaders.
Key Responsibilities
-
Develop and maintain price-elasticity, demand-forecasting and revenue-optimisation models in Python
-
Design, execute and analyse A/B tests and quasi-experimental frameworks to validate pricing strategies
-
Build automated pipelines to refresh price recommendations in near real-time
-
Integrate model outputs into BI dashboards and reporting workflows
-
Present clear, actionable pricing insights to commercial and executive stakeholders
Must-Haves
-
Master’s in Statistics, Econometrics, Data Science or related quantitative field
-
Expert in Python (pandas, scikit-learn) and advanced SQL for large-scale data manipulation
-
Proven track record running A/B tests or causal analyses on pricing levers
-
Excellent communication-able to explain complex models to non-technical audiences
-
Full UK work authorisation
Desirable
-
Familiarity with production ML workflows (version control, CI/CD)
-
Background in retail or e-commerce pricing platforms
Technical Toolbox
-
Modelling & data: Python, SQL
-
Experimentation: A/B testing frameworks
-
Containerisation: Docker
-
BI & warehousing: Snowflake (or equivalent), Tableau/Power BI
-
Cloud: AWS, GCP or Azure
To Apply for this Job Click Here

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