Data Scientist
Unity Group
Chorley, UK
23 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
£58,000.0 - £62,000.0
Working hours
Regular working hours
Job source
Tech stack
Training Data
A/B Testing
Application Programming Interfaces (APIs)
Amazon Web Services
Data Analysis
Microsoft Azure
Big Data
Databases
Database Queries
Statistical Hypothesis Testing
Python (Programming Language)
Machine Learning
+13 more
Tensorflow
Software Engineering
Computational Statistics
Data Processing
Cloud Platform System
Sql Optimization
Pytorch
Scikit Learn
Information Technology
Xgboost
Enterprise Integration
Machine Learning Operations
Software Library
Job description
- Predictive Modeling & ML Development: Design, build, and deploy supervised and unsupervised machine learning algorithms (regression, classification, clustering, time-series forecasting).
- Data Processing & Pipeline Integration: Clean, feature-engineer, and structure large-scale datasets from disparate databases to prepare training data for algorithmic models.
- Statistical Analysis & Hypothesis Testing: Conduct robust statistical modeling, econometric evaluations, and experimental A/B testing to evaluate product features and operational changes.
- Model Deployment & Monitoring: Partner with MLOps and software engineering teams to transition models from prototype stage into production APIs, monitoring performance drift over time.
- Commercial Insights & Storytelling: Present complex analytical findings, probabilistic forecasts, and technical insights to executive stakeholders.
Requirements
- 3+ years of experience as a Data Scientist, Machine Learning Engineer, or Quantitative Researcher.
- Strong technical background in Python or R for data manipulation and statistical computing.
- Practical experience with machine learning libraries (scikit-learn, XGBoost, TensorFlow, PyTorch) and Advanced SQL for database querying.
- Solid foundation in linear algebra, multivariable calculus, probability theory, and statistical hypothesis testing.
- Must have the right to work in the UK without requiring employer sponsorship.
- Desirable: Master’s or PhD degree in Data Science, Computer Science, Economics, Mathematics, or Physics; experience with cloud environments (AWS/Azure).
Benefits & conditions
-
Performance-based annual bonus Hybrid working schedule (3 days office / 2 days remote) -
25 days annual leave + UK bank holidays Enhanced pension matching (up to 8%) -
Private medical & dental coverage £1,500 annual personal learning stipend - Electric Vehicle (EV) scheme & Cycle to Work program
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