Python Developer

🧠 Data Scientist: Machine Learning \& 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.