Data Scientist

LocationBloomsbury Square, London, United Kingdom# Data Scientist at N Consulting LtdLocationBloomsbury Square, London, United KingdomSalary£400 - £459 /dayJob TypeContractDate PostedOctober 17th, 2025Apply Now Job Title: Data Scientist (Contract, Hybrid - London) Location: London (Hybrid: 2-3 days/week in office) Contract Type: 6-12 months (Contract, possible extension) About the Role: We are seeking a skilled Data Scientist to join our dynamic team on a contract basis. You will work closely with cross-functional teams to extract actionable insights from complex datasets, build predictive models, and support data-driven decision-making. This is a hybrid role, offering flexibility while being actively involved in the London office. Key Responsibilities: Analyze large, structured and unstructured datasets to identify patterns and trends.Develop, validate, and deploy predictive models using machine learning and statistical techniques.Translate business requirements into technical solutions and actionable insights.Collaborate with business stakeholders, data engineers, and analysts to support analytics initiatives.Create dashboards, reports, and visualizations to communicate insights to non-technical stakeholders.Ensure data quality, integrity, and security throughout the analytics lifecycle.Keep up-to-date with the latest developments in data science, AI, and machine learning. Required Skills & Experience: Proven experience as a Data Scientist or in a similar role.Strong programming skills in Python, R, or SQL .Hands-on experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch .Solid understanding of statistics, predictive modeling, and data mining techniques.Experience with data visualization tools such as Tableau, Power BI, or matplotlib/seaborn .Familiarity with cloud platforms (AWS, Azure, GCP) is a plus.Strong problem-solving, analytical, and communication skills. Preferred Qualifications: MSc or PhD in Computer Science, Statistics, Mathematics, or a related field.Experience in finance, marketing analytics, or e-commerce.