This role offers the opportunity to work in a multidisciplinary team, applying data analytics, model training, software development, and AI to address real-world issues and enhance or generate new products within the Classify platform.
Education requirements:
- University degree (or equivalent) in Computer Science, Statistics, Mathematics, or a related field
Experience:
- Demonstrated project experience with real-world datasets
- Portfolio showcasing data analysis and problem-solving capabilities
Essential Criteria:
- Programming Proficiency: Advanced competency in Python, including data structures, functions, and maintainable code practices
- Statistical Analysis: Strong foundation in statistics (hypothesis testing, distributions, probability) and mathematics (linear algebra, calculus)
- Data Manipulation: Expertise in data cleaning and transformation using pandas, SQL proficiency, handling missing data and outliers
Desired Criteria:
- Machine Learning: Understanding of fundamental ML algorithms (regression, classification, clustering) and model evaluation metrics; experience with scikit-learn preferred
- Data Visualization: Ability to create effective visualizations using matplotlib/seaborn/ggplot2 or similar; understanding of data storytelling principles
- Communication: Proven ability to translate technical findings into business insights; strong presentation skills for technical and non-technical audiences
Company Benefits:
- Comprehensive full Private Health Insurance
- Comprehensive dental insurance
- Employee Assistance Programme (EAP) – a confidential employee benefit designed to help you and close family members deal with personal and professional problems.
- Generous annual leave allowance
- Company pension scheme
- Casual dress
- Flexitime
- Health & wellbeing programme
- Paid volunteer time
- Sick pay
- Work from home
About Us:
We are headquartered in Boston with employees in New York, Arizona, California, England, and Northern Ireland.
Our flagship product, enables clients to reduce their financial and data risk by increasing their data understanding, classification, and security, allowing clients to meet all of the current, new, and changing laws, regulations, and business drivers. In other words, making intelligent business decisions.
Schedule:
Work authorisation:
- United Kingdom (required)
Work Location: Hybrid remote in Belfast BT2
Reference ID: Junior Data Scientist - Job Types: Full-time, Permanent - Pay: £26,000.00-£30,000.00 per year
Email a friend
Report this Job