Python Developer

🧠 Jr Big Data Developer: SQL \& Python Specialist 🐍 Python Developer Location : London Work mode : Onsite Experience: 2–5 years **UK based candidates only - CITIZEN \& DEPENDENTS We are seeking an innovative and results-driven Data Scientist with a strong focus on Machine Learning and deep proficiency in Python . You will be instrumental in transforming complex data into actionable insights, building predictive models, and driving business strategy using cutting-edge analytical techniques. This role is for a hands-on individual who is excited to move models from the lab into production. Key Responsibilities** * Model Development \& Implementation: Design, develop, train, validate, and deploy advanced Machine Learning models (e.g., classification, regression, clustering, deep learning) to solve complex business problems. * Data Wrangling \& Analysis: Perform comprehensive Exploratory Data Analysis ( EDA ), data cleaning, feature engineering, and transformation on large, complex, and sometimes unstructured datasets. * Coding \& Automation: Write production-quality, highly efficient, and scalable code primarily in Python for data processing, analysis, and model creation. * Experimentation \& Optimization: Conduct A/B testing, hypothesis testing, and rigorous model validation, continually iterating and tuning algorithms to maximize performance, accuracy, and efficiency. * Collaboration \& Communication: Work closely with cross-functional teams (e.g., product managers, engineers, business stakeholders) to define project scope, interpret model results, and clearly present data-driven recommendations to both technical and non-technical audiences. * Deployment \& MLOps: Collaborate with ML/Data Engineers to deploy, monitor, and maintain ML models in a production environment, ensuring stability and performance over time. Required Skills and Qualifications Technical Expertise (The Core) * Programming: Expert proficiency in Python and its core data science libraries: Pandas, NumPy, and SciPy . * Machine Learning: Deep, practical experience with popular ML frameworks and libraries: scikit-learn, TensorFlow, or PyTorch . * Statistics \& Math: Strong foundation in statistical modeling , probability, hypothesis testing, regression analysis, and multivariate calculus/linear algebra for understanding model mechanics. * Databases \& Querying: Proficiency in SQL for extracting, manipulating, and preparing data from relational databases. Experience with NoSQL databases is a plus. * Big Data/Cloud: Experience with big data tools ( Spark, Hadoop ) and cloud computing platforms ( AWS, Azure, or GCP ) for scalable ML workflows. * Visualization: Ability to create clear, compelling data visualizations using tools like Matplotlib, Seaborn, Tableau, or Power BI to communicate insights. Education \& Experience * Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field. * [Number] years of professional experience as a Data Scientist or in a highly quantitative role. Soft Skills (Your X-Factor) * Curiosity: A strong passion for data and an inherent curiosity to explore, question, and challenge assumptions. * Problem-Solving: Excellent analytical and structured thinking skills to tackle complex, ambiguous business problems. * Storytelling: The ability to translate complex statistical and ML outputs into simple, business-relevant narratives and recommendations.