Junior Data Scientist

Information Tech Consultants; City of Westminster; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading tech consultancy in the United Kingdom is seeking a Data Scientist with expertise in Machine Learning and proficiency in Python. The ideal candidate will design and implement complex ML models while effectively communicating insights to stakeholders. You will leverage your statistical and analytical skills to transform data into actionable strategies, contribute to production deployments, and collaborate with cross-functional teams to drive business value. This role requires a solid foundation in both software and statistics, making you an integral part of data-driven decision-making.

Qualifications

• Expert proficiency in Python and core data science libraries.
• Deep experience with popular ML frameworks and libraries.
• Strong foundation in statistical modeling, regression analysis, and multivariate calculus.

Responsibilities

• Design and implement Machine Learning models.
• Perform data wrangling and exploratory data analysis.
• Write efficient, scalable code in Python.
• Conduct rigorous model validation and optimization.
• Collaborate with cross-functional teams and present data-driven insights.
• Deploy and maintain ML models in production.

Skills

Python proficiency

Machine Learning frameworks

Data visualization

SQL

Statistical analysis

Big Data tools

Education

Bachelor's or Master's in Computer Science, Data Science, or related

Tools

Pandas

NumPy

SciPy

scikit-learn

TensorFlow

PyTorch

Spark

AWS

Job description

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.

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.

Qualifications

• 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.