Data Scientist
Concept LTD
Charing Cross, United Kingdom
2 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Intermediate Compensation
£ 95KJob location
Remote
Charing Cross, United Kingdom
Tech stack
A/B testing
Amazon Web Services (AWS)
Azure
Big Data
Computer Programming
Distributed Systems
Python
Machine Learning
NumPy
TensorFlow
SQL Databases
Google Cloud Platform
PyTorch
Spark
Pandas
Scikit Learn
Data Management
Machine Learning Operations
Job description
As a Data Scientist, you'll work with our analytics team to develop and implement advanced statistical models and machine learning algorithms that drive marketing recommendations for our clients. You'll transform complex business problems into data science solutions that deliver measurable ROI., * Develop and implement predictive models, segmentation algorithms, and other data science solutions
- Analyze large datasets to extract insights and identify patterns relevant to marketing performance
- Build and maintain data pipelines for model training and deployment
- Collaborate with product and engineering teams to integrate models into our platform
- Communicate complex findings to technical and non-technical stakeholders
- Stay current with the latest advancements in data science and machine learning
Requirements
Do you have experience in Spark?, Do you have a Master's degree?, * 3+ years of professional experience in data science or related field
- Strong programming skills in Python and SQL
- Experience with data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch)
- Solid understanding of statistical modeling and machine learning techniques
- Experience working with large datasets and distributed computing frameworks
- Strong analytical and problem-solving skills
- Excellent communication skills and ability to explain complex concepts
Nice to Have
- Experience in marketing analytics or digital advertising
- Knowledge of cloud-based data platforms (AWS, GCP, Azure)
- Experience with A/B testing and causal inference
- Familiarity with MLOps tools and practices
- Master's or PhD in a quantitative field
Benefits & conditions
- Competitive salary and performance bonuses
- Remote-first culture with flexible working hours
- Comprehensive health and dental insurance
- 5% employer pension contribution
- Home office setup allowance
- Professional development budget
- 25 days annual leave plus bank holidays
About the company
We're an AI-driven marketing analytics platform helping enterprise clients optimize their digital marketing spend. Our platform analyzes billions of data points to provide actionable insights, and we're looking for talented data scientists to help us enhance our predictive capabilities.