Data Scientist

Careegrow Ltd
Charing Cross, United Kingdom
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
£ 80K

Job location

Remote
Charing Cross, United Kingdom

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Data analysis
Azure
Big Data
Cloud Computing
Computer Programming
ETL
Data Visualization
R
Hadoop
Python
Machine Learning
Power BI
TensorFlow
SQL Databases
Tableau
Unstructured Data
Google Cloud Platform
PyTorch
Spark
Deep Learning
Matplotlib
Scikit Learn
Information Technology
Data Pipelines
Software Library

Job description

We are looking for a talented Data Scientist to analyze complex datasets and develop data-driven solutions that help organizations make better business decisions. The ideal candidate will use statistical analysis, machine learning, and data visualization techniques to uncover insights and build predictive models., Collect, clean, and analyze large datasets from multiple sources.

Develop and implement machine learning models and predictive algorithms.

Perform exploratory data analysis (EDA) to identify patterns and trends.

Build data visualizations, dashboards, and reports to communicate insights.

Collaborate with engineering, product, and business teams to solve data problems.

Evaluate and optimize model performance and accuracy.

Work with structured and unstructured data to generate actionable insights.

Stay updated with the latest data science tools, techniques, and industry trends.

Requirements

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

2+ years of experience in data analysis or data science.

Strong programming skills in Python, R, or SQL.

Experience with machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch.

Knowledge of data visualization tools such as Tableau, Power BI, or Matplotlib.

Strong analytical and problem-solving skills.

Preferred Qualifications

Experience with big data technologies such as Hadoop or Spark.

Familiarity with cloud platforms like AWS, Azure, or Google Cloud.

Knowledge of deep learning, NLP, or AI applications.

Experience with data pipelines and ETL processes.

Key Skills

Data Analysis

Machine Learning

Statistical Modeling

Data Visualization

Programming (Python, R, SQL)

Problem Solving

Communication and Collaboration

Benefits & conditions

Competitive compensation package

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