Hiring: Data Scientist | Remote – UK
We are hiring a skilled and motivated Data Scientist on behalf of one of our clients for a fully remote opportunity.
The ideal candidate will have strong analytical and problem-solving skills, hands-on experience with data science tools, and the ability to transform complex datasets into actionable business insights.
Job Title: Data Scientist
Location: United Kingdom
Work Mode: 100% Remote
Key Responsibilities
- Collect, clean, preprocess, and analyse large datasets from multiple sources.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and business opportunities.
- Develop, train, test, and optimise machine learning models for predictive analytics and forecasting.
- Apply statistical techniques and hypothesis testing to support data-driven decision-making.
- Build predictive models and implement algorithms to solve business problems.
- Create dashboards, reports, and visualisations using Power BI, Tableau, Matplotlib, or Seaborn.
- Write and optimise SQL queries to extract and manage data from databases.
- Use Python libraries such as Pandas, NumPy, Scikit-learn, and SciPy for data analysis and modelling.
- Identify and resolve data quality issues to ensure accuracy and reliability.
- Collaborate with data engineers, business analysts, developers, and other stakeholders.
- Translate business requirements into analytical solutions and communicate findings effectively.
- Monitor model performance and continuously improve machine learning solutions.
- Automate data processing and reporting workflows to improve efficiency.
- Perform feature engineering and feature selection to enhance model performance.
- Document analytical processes, methodologies, and project outcomes.
- Ensure data privacy, security, and compliance with applicable data protection requirements.
Required Skills & Qualifications
- Strong programming skills in Python and SQL.
- Good understanding of statistics, probability, and machine learning algorithms.
- Hands-on experience with Pandas, NumPy, Scikit-learn, and data visualisation libraries.
- Familiarity with Power BI or Tableau.
- Excellent analytical, problem-solving, and communication skills.
- A degree in Data Science, Computer Science, Statistics, Mathematics, or a related field is preferred.
Preferred Qualifications
- Experience working with real-world datasets, predictive modelling, and advanced statistical analysis.
- Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
- Knowledge of deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Experience with natural language processing (NLP), computer vision, or generative AI applications.
- Understanding of big data technologies such as Apache Spark, Hadoop, or Databricks.
- Experience with ETL pipelines, data integration, and data preprocessing workflows.
- Familiarity with database systems such as PostgreSQL, MySQL, MongoDB, or Snowflake.
- Knowledge of model deployment using Flask, FastAPI, Docker, or cloud-based services.
- Understanding of MLOps practices, including model versioning, monitoring, and lifecycle management.
- Experience using Git or other version control systems for collaborative development.
- Familiarity with A/B testing, experimental design, and business performance metrics.
- Ability to work with time-series data, forecasting techniques, and anomaly detection.
- Experience developing scalable and production-ready machine learning solutions.
- Understanding of responsible AI practices, model explainability, and bias detection.
- Experience working in Agile environments and collaborating with cross-functional teams.
- A portfolio of data science projects, research work, or contributions to open-source projects is an advantage.