Tact
Behavioural Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Behavioural Data Scientist, 100% remote, with an 8-week contract at £600/day. Key skills include strong Python, experience with messy real-world data, and exposure to sensor/time-series data. Research mindset is essential.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
600
-
🗓️ - Date
April 25, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
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📄 - Contract
Outside IR35
-
🔒 - Security
Unknown
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📍 - Location detailed
Manchester Area, United Kingdom
-
🧠 - Skills detailed
#SciPy #Pandas #NumPy #Python #Data Science #AWS (Amazon Web Services) #AI (Artificial Intelligence) #Datasets
Role description
Behavioural Data Scientist - 100% Remote - Outside IR35 Contract - £600 day rate - Python/AWS - 8 week contract (likely extension)
Quick brief: research-heavy role working with behavioural sensor data to understand signal quality, noise, and how it impacts model performance.
What matters:
• Strong Python (pandas, NumPy, SciPy)
• Proper research mindset – comfortable reporting bad results, not just chasing accuracy
• Experience working with real-world data (messy, noisy, incomplete)
• Sensor / time-series data exposure (IMU, ECG, EMG ideal)
• Able to run experiments + analyse behavioural patterns
Nice to have:
• Behavioural science / biometrics / human activity recognition
• Experience with wearable or mobile data
• Background in research (industry or academic)
Day to day:
• Deep dive into behavioural datasets (movement, touch, device signals)
• Identify noise, bias, data gaps
• Run experiments + produce clear findings
• Work closely with AI team to improve models
Please apply down below. Also, no CV is needed at this stage, you can apply with your LinkedIn profile :)
We can cross the CV bridge later.
Behavioural Data Scientist - 100% Remote - Outside IR35 Contract - £600 day rate - Python/AWS - 8 week contract (likely extension)
Quick brief: research-heavy role working with behavioural sensor data to understand signal quality, noise, and how it impacts model performance.
What matters:
• Strong Python (pandas, NumPy, SciPy)
• Proper research mindset – comfortable reporting bad results, not just chasing accuracy
• Experience working with real-world data (messy, noisy, incomplete)
• Sensor / time-series data exposure (IMU, ECG, EMG ideal)
• Able to run experiments + analyse behavioural patterns
Nice to have:
• Behavioural science / biometrics / human activity recognition
• Experience with wearable or mobile data
• Background in research (industry or academic)
Day to day:
• Deep dive into behavioural datasets (movement, touch, device signals)
• Identify noise, bias, data gaps
• Run experiments + produce clear findings
• Work closely with AI team to improve models
Please apply down below. Also, no CV is needed at this stage, you can apply with your LinkedIn profile :)
We can cross the CV bridge later.
