Python Developer in London

Python DeveloperLocation : London

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 QualificationsTechnical 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.

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