Greater London, England, UKfulltimeInformation Services, Software Development, and IT Services and IT Consultingposted 30 Jul
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Data Scientist – Python \& SQL | Start Date: 18th August 2026 Location: London, UK Job Type: Full-time Experience: 2–5 years Salary: £35,000 – £45,000 per year Education: Master’s Degree – Mandatory About Information Tech Consultants Ltd (ITC) Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London, specializing in software development, cloud technologies, data science, and IT solutions for UK and international clients. About the Role We are looking for a Data Scientist with strong hands-on experience in Python, SQL, data analysis, and machine learning . The ideal candidate will have a Master’s degree and practical experience working with datasets, developing machine learning models, and generating data-driven insights. Key Responsibilities * Analyse, clean, and transform datasets using Python and SQL . * Perform exploratory data analysis and identify trends and patterns. * Develop, test, and optimize machine learning models. * Perform feature engineering and model evaluation. * Create data visualizations and communicate insights to stakeholders. * Work with technical and business teams to solve data-driven problems. Required Skills * 2–5 years of relevant industry experience * Strong Python programming skills * Strong SQL skills * Experience with Pandas, NumPy, and Scikit-learn * Good knowledge of machine learning and statistics * Experience with Matplotlib, Seaborn, Power BI, or Tableau * Strong analytical and problem-solving skills * Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field – Mandatory Candidate Requirements * UK-based candidates only * Candidates must be open to relocating within the UK based on client project requirements * Master’s degree is mandatory Salary £35,000 – £45,000 per year , depending on interview performance and experience. Apply today with your latest CV. Immediate joiners are highly preferred.