Conquer AI
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist on a 6-month contract, fully remote, with a focus on deploying machine learning models into production. Requires 3+ years of experience, strong Python and SQL skills, and familiarity with ML frameworks and cloud platforms.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
July 14, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#AI (Artificial Intelligence) #Spark (Apache Spark) #Cloud #Databases #TensorFlow #Matplotlib #A/B Testing #BI (Business Intelligence) #Data Pipeline #Python #SQL (Structured Query Language) #Data Visualisation #Datasets #AWS (Amazon Web Services) #Data Science #Microsoft Power BI #ML (Machine Learning) #Azure #Tableau #PySpark #Deployment #GCP (Google Cloud Platform) #PyTorch #Statistics
Role description
Data Scientist
Contract duration 6 Months
Fully Remote
Day Rate
Conquer AI deploys production-ready AI systems for FTSE 100, FTSE 250 and Fortune 500 clients. We're scaling fast. A client in India needs a Data Scientist who can take a model from exploratory analysis all the way to production, with GenAI increasingly part of the brief.
The reality of this role A model that only lives in a notebook doesn't move the business. This client needs someone who can analyse the data, build the model, and ship it into production, not just describe what the model could do. You'll run experiments that shape real decisions. If a result can't survive contact with production, it isn't finished. You'll do this alongside the client's data and analytics team, with GenAI and LLM-integrated work increasingly part of the job.
What you'll own
• Analysis of large, complex datasets, and the trends and opportunities they surface
• Machine learning models, from build through validation to deployment
• Data pipelines for training and inference
• Experiments and A/B tests that inform real business decisions
• RAG-based and LLM-integrated solutions, taken into production
Who you are
• 3+ years in data science, applied ML or statistics
• Strong Python and SQL
• Comfortable with ML frameworks (scikit-learn, PyTorch or TensorFlow)
• You're at home in data visualisation tools (Power BI, Tableau or Matplotlib)
• You've deployed models on a cloud platform (AWS, Azure or GCP)
• Experience with RAG, vector databases and LLM APIs (OpenAI, Gemini) is a plus
• MLOps and PySpark experience are a plus
Where you're coming from Data Scientist, Applied ML Engineer or analytics professional who owns a model end to end. You've shipped something into production before, not just handed off a notebook. Now you want to do that with GenAI in the mix.
What we're offering
• On-site placement in America, contract through Conquer
• End-to-end ownership, from analysis through to production
• Competitive contract package
If you'd rather ship a model than just present one, we should talk.
PLEASE NOTE I personally review every CV, message and email I receive regarding our vacancies. While I read each one carefully, I'm unable to reply to everyone individually due to the volume of applications. Thank you for taking the time to apply and for your interest in working with us. Your effort is genuinely appreciated.
Data Scientist
Contract duration 6 Months
Fully Remote
Day Rate
Conquer AI deploys production-ready AI systems for FTSE 100, FTSE 250 and Fortune 500 clients. We're scaling fast. A client in India needs a Data Scientist who can take a model from exploratory analysis all the way to production, with GenAI increasingly part of the brief.
The reality of this role A model that only lives in a notebook doesn't move the business. This client needs someone who can analyse the data, build the model, and ship it into production, not just describe what the model could do. You'll run experiments that shape real decisions. If a result can't survive contact with production, it isn't finished. You'll do this alongside the client's data and analytics team, with GenAI and LLM-integrated work increasingly part of the job.
What you'll own
• Analysis of large, complex datasets, and the trends and opportunities they surface
• Machine learning models, from build through validation to deployment
• Data pipelines for training and inference
• Experiments and A/B tests that inform real business decisions
• RAG-based and LLM-integrated solutions, taken into production
Who you are
• 3+ years in data science, applied ML or statistics
• Strong Python and SQL
• Comfortable with ML frameworks (scikit-learn, PyTorch or TensorFlow)
• You're at home in data visualisation tools (Power BI, Tableau or Matplotlib)
• You've deployed models on a cloud platform (AWS, Azure or GCP)
• Experience with RAG, vector databases and LLM APIs (OpenAI, Gemini) is a plus
• MLOps and PySpark experience are a plus
Where you're coming from Data Scientist, Applied ML Engineer or analytics professional who owns a model end to end. You've shipped something into production before, not just handed off a notebook. Now you want to do that with GenAI in the mix.
What we're offering
• On-site placement in America, contract through Conquer
• End-to-end ownership, from analysis through to production
• Competitive contract package
If you'd rather ship a model than just present one, we should talk.
PLEASE NOTE I personally review every CV, message and email I receive regarding our vacancies. While I read each one carefully, I'm unable to reply to everyone individually due to the volume of applications. Thank you for taking the time to apply and for your interest in working with us. Your effort is genuinely appreciated.
