Infinity Quest
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with 10+ years of experience in data science, strong coding skills in Scala and Python, and expertise in MLOps. Contract length and pay rate are unspecified; work location is also unspecified.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
May 16, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Deployment #ML (Machine Learning) #Databricks #Distributed Computing #Scala #Data Science #Forecasting #Deep Learning #Code Reviews #Statistics #Python #Spark (Apache Spark)
Role description
MUST HAVE SKILLS
10+ years of experience in data science, statistics, or quantitative research spanning industry and/or academia.
Shape the direction of data science areas - segmentation, recommendation systems, forecasting, product analytics, churn prediction and insights.
Extensive experience in applying Data Science / ML for the end-to-end development and deployment of data-driven products for solving business problems.
Broad expertise across data science disciplines: experimentation, causal inference, feature engineering, forecasting, optimization, and deep learning.
Deep understanding of MLOps in production environments
Strong coding skills in general purpose languages like Spark, distributed computing, Scala or Python, and familiarity with software engineering principles around testing, code reviews and deployment.
Extensive experience in developing applications on databricks platforms
Exceptional written and verbal communication — the ability to make complex statistical concepts intuitive and compelling for non-technical executives
MUST HAVE SKILLS
10+ years of experience in data science, statistics, or quantitative research spanning industry and/or academia.
Shape the direction of data science areas - segmentation, recommendation systems, forecasting, product analytics, churn prediction and insights.
Extensive experience in applying Data Science / ML for the end-to-end development and deployment of data-driven products for solving business problems.
Broad expertise across data science disciplines: experimentation, causal inference, feature engineering, forecasting, optimization, and deep learning.
Deep understanding of MLOps in production environments
Strong coding skills in general purpose languages like Spark, distributed computing, Scala or Python, and familiarity with software engineering principles around testing, code reviews and deployment.
Extensive experience in developing applications on databricks platforms
Exceptional written and verbal communication — the ability to make complex statistical concepts intuitive and compelling for non-technical executives
