Data Scientist
Cavendish (recruitment) Professionals Ltd
5 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Tech stack
Graph Database
Python
NumPy
Data Processing
Backend
Pandas
Matplotlib
Scikit Learn
Go
Requirements
- Proficiency in Python and common data science libraries (e.g., pandas, scikit-learn, numpy, matplotlib). \r\n
- Understanding of key machine learning concepts and workflows. \r\n
- Strong problem-solving and analytical thinking skills. \r\n
- Excellent communication and teamwork abilities. \r\n
- (Optional) Experience with Golang for backend or high-performance data processing. \r\n
- (Optional) Familiarity with network science tools (e.g., NetworkX, graph databases). \r\n
- \r\n
Benefits & conditions
Our client is expanding their technology team and leveraging data-driven solutions to accelerate innovation.\n\nThey are seeking a talented Senior Data Scientist to extract actionable insights, build predictive models, and drive strategic decision-making.\n\nJoin a company that values creativity, collaboration, and cutting-edge technology.
\r\nResponsibilities:
\r\n \r\n- Collect, clean, and analyze structured and unstructured data. Develop and evaluate machine learning models for anomaly detection, classification, regression, and clustering tasks. Collaborate with data engineers to add new functionality and analytical capabilities to our graph analytics platform. \r\n
About the company
Cavendish (Recruitment) Professionals Ltd are proud to be an equal opportunity employer and we believe that inclusivity begins with the candidate experience.
All qualified applicants will receive consideration for employment regardless of, gender, race, age, sexual orientation, religion, or belief." , "industry": "IT", "employmentType": "CONTRACT", "hiringOrganization": { "@type": "Organization", "name": "Cavendish Professionals" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressLocality": "Croatia", "addressRegion": "Croatia", "postalCode": "", "addressCountry": "UK" } }