2,747 Data Scientist jobs in the United Kingdom
Senior Data Scientist - Predictive Analytics
Posted today
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Job Description
Responsibilities:
- Develop, implement, and deploy advanced statistical models and machine learning algorithms to solve complex business problems and drive data-driven decision-making.
- Lead the end-to-end data science project lifecycle, from problem definition and data acquisition to model deployment and performance monitoring.
- Collaborate closely with stakeholders across business units to understand their challenges, define project scope, and translate requirements into analytical solutions.
- Perform in-depth data exploration, cleaning, and feature engineering on large, diverse datasets from various sources.
- Design and execute A/B tests and other experimental designs to measure the impact of implemented solutions.
- Build predictive models for forecasting, customer segmentation, anomaly detection, and other critical business functions.
- Communicate complex analytical findings and recommendations clearly and concisely to both technical and non-technical audiences through reports, presentations, and visualizations.
- Mentor junior data scientists and contribute to the growth of the data science practice within the company.
- Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence, and evaluate their applicability to client challenges.
- Ensure data quality, integrity, and ethical considerations throughout all analytical processes.
- Master's or PhD in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
- 5+ years of experience in data science, with a strong emphasis on building and deploying predictive models.
- Proficiency in programming languages such as Python or R, and extensive experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
- Expertise in SQL and experience with big data technologies (e.g., Spark, Hadoop) is essential.
- Solid understanding of statistical modeling, machine learning algorithms (regression, classification, clustering, deep learning), and experimental design.
- Demonstrated ability to translate business problems into analytical frameworks and deliver actionable insights.
- Excellent data visualization skills (e.g., Matplotlib, Seaborn, Tableau).
- Strong communication and presentation skills, with the ability to explain technical concepts to non-technical stakeholders.
- Experience working in a client-facing role or consultancy environment is highly desirable.
- Strong problem-solving skills and the ability to work independently and as part of a team.
Location: Leeds, West Yorkshire, UK
Graduate Data Scientist - Predictive Analytics
Posted 1 day ago
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Job Description
Key Responsibilities:
- Assist in the collection, cleaning, and preprocessing of large datasets from various sources.
- Develop and implement statistical models and machine learning algorithms for predictive analysis.
- Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
- Visualize data and model results using various charting and reporting tools.
- Collaborate with senior data scientists and business stakeholders to understand project requirements and deliver actionable insights.
- Contribute to the development and deployment of data-driven solutions.
- Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
- Document methodologies, findings, and recommendations clearly and concisely.
- Participate in code reviews and contribute to the improvement of data science workflows.
- Present findings and insights to both technical and non-technical audiences.
Qualifications:
- A recent Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Computer Science, Mathematics, Physics, Economics, or a related discipline.
- Strong understanding of statistical principles and machine learning concepts.
- Proficiency in programming languages commonly used in data science, such as Python or R.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) is a plus.
- Excellent analytical and problem-solving skills.
- Strong communication and collaboration abilities, with experience working in virtual teams.
- Self-disciplined and motivated to learn and succeed in a remote work environment.
- A keen interest in leveraging data to drive business decisions.
Graduate Data Scientist - Predictive Analytics
Posted 2 days ago
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Junior Data Scientist - Predictive Analytics
Posted 2 days ago
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Job Description
Key Responsibilities:
- Assist in the development, validation, and deployment of predictive models using various machine learning techniques.
- Collect, clean, and preprocess large datasets from diverse sources to prepare them for analysis.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
- Contribute to the design and implementation of A/B tests and other experimental designs.
- Visualize data and model results using tools such as Matplotlib, Seaborn, or Tableau.
- Collaborate with cross-functional teams to understand business requirements and translate them into data science problems.
- Write and maintain clean, efficient, and well-documented code in Python or R.
- Stay up-to-date with the latest research and advancements in data science and machine learning.
- Support the senior data science team in model monitoring and performance evaluation.
- Communicate findings and insights effectively to both technical and non-technical stakeholders.
- Participate in code reviews and contribute to best practices within the data science team.
Qualifications and Experience:
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
- Solid understanding of statistical concepts and machine learning algorithms (e.g., regression, classification, clustering, time series analysis).
- Proficiency in Python or R, including relevant libraries (e.g., pandas, scikit-learn, TensorFlow/PyTorch).
- Experience with SQL for data extraction and manipulation.
- Familiarity with data visualization tools.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
- Eagerness to learn and adapt to new technologies and methodologies.
- Prior internship or project experience in data science is a plus.
- The ability to work effectively in a hybrid model, splitting time between remote work and our office in **Southampton, Hampshire, UK**, is essential.
This graduate role offers a fantastic entry point into the field of data science within a supportive and innovative environment.
Junior Data Scientist - Predictive Analytics
Posted 3 days ago
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Job Description
Responsibilities:
- Assist in the collection, cleaning, and preparation of large datasets from various sources for analysis.
- Develop and implement statistical models and machine learning algorithms to identify trends, patterns, and insights.
- Perform exploratory data analysis to understand data characteristics and generate hypotheses.
- Build and validate predictive models to forecast future outcomes and support business decisions.
- Create data visualizations and dashboards to communicate findings effectively to technical and non-technical stakeholders.
- Collaborate with senior data scientists and client teams to understand project requirements and deliver actionable recommendations.
- Stay current with emerging trends and technologies in data science, machine learning, and artificial intelligence.
- Participate in code reviews and contribute to the development of best practices within the data science team.
- Document methodologies, findings, and code clearly and comprehensively.
- Support the deployment and monitoring of data science models in production environments.
- Contribute to the development of client-facing reports and presentations.
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Foundational knowledge of statistical modeling and machine learning techniques.
- Proficiency in programming languages such as Python or R, including relevant libraries (e.g., pandas, scikit-learn, TensorFlow).
- Experience with SQL for data querying and manipulation.
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Strong analytical and problem-solving skills with a keen eye for detail.
- Excellent communication skills, with the ability to explain technical concepts to a diverse audience.
- Eagerness to learn and adapt to new technologies and methodologies.
- Ability to work effectively both independently and as part of a remote team.
- Previous internship or project experience in data science is a plus.
- Must be based in the Portsmouth, Hampshire, UK area, as occasional in-person team meetings may be scheduled.
Graduate Data Scientist - Predictive Analytics
Posted 5 days ago
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Job Description
- Assist in the collection, cleaning, and organisation of large datasets.
- Develop and implement predictive models using statistical and machine learning techniques.
- Perform exploratory data analysis to identify patterns and trends.
- Create compelling data visualisations to communicate insights.
- Collaborate with senior data scientists on project tasks and research efforts.
- Document methodologies and results clearly and concisely.
- Contribute to team meetings and discussions on project progress.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field.
- Strong understanding of statistical concepts and machine learning algorithms.
- Proficiency in Python or R and associated data science libraries (e.g., Pandas, NumPy, Scikit-learn).
- Experience with data visualisation tools.
- Excellent analytical and problem-solving skills.
- Strong written and verbal communication skills.
- Ability to work independently and as part of a team.
Junior Data Scientist - Predictive Analytics
Posted 8 days ago
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Job Description
Key Responsibilities:
- Assist senior data scientists in the collection, cleaning, and preprocessing of large datasets from various sources.
- Contribute to the development and implementation of machine learning models for predictive analytics, classification, and clustering.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies within datasets.
- Utilise statistical techniques and programming languages (e.g., Python, R) to analyse data and generate insights.
- Create visualisations and dashboards to communicate findings effectively to both technical and non-technical audiences.
- Support the testing and validation of predictive models, ensuring accuracy and reliability.
- Participate in team meetings, brainstorming sessions, and knowledge-sharing activities.
- Learn and apply new data science methodologies, algorithms, and tools.
- Collaborate with other departments to understand data needs and provide analytical support.
- Document methodologies, code, and results clearly and concisely.
Qualifications and Experience:
- Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
- Solid understanding of statistical concepts and machine learning algorithms.
- Proficiency in at least one programming language commonly used in data science, such as Python or R.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and data visualization tools (e.g., Matplotlib, Seaborn).
- Exposure to SQL for database querying.
- Strong analytical thinking and problem-solving skills.
- Excellent communication and teamwork abilities.
- A keen interest in predictive modelling and data-driven decision-making.
- Ability to work independently and manage tasks effectively in a remote setting.
- Previous internship or project experience in data analysis or data science is a plus.
This is an exceptional opportunity for an aspiring data scientist to kick-start their career with a leading organisation. You will gain invaluable experience and mentorship, contributing to real-world projects from your remote workspace. The internship is tied to our operations in **Newcastle upon Tyne, Tyne and Wear, UK**, but is performed remotely.
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Junior Data Scientist - Predictive Analytics
Posted 8 days ago
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Job Description
Key responsibilities include data cleaning, preprocessing, and feature engineering; assisting in the development and validation of machine learning models; conducting exploratory data analysis to identify trends and patterns; and contributing to the creation of data visualizations and reports for stakeholders. You will gain hands-on experience with various data science tools and programming languages, primarily Python and R, and work with databases using SQL. The ideal candidate will possess a Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline. A foundational understanding of statistical concepts, machine learning algorithms, and data mining techniques is required. Familiarity with data visualization libraries (e.g., Matplotlib, Seaborn, Tableau) and experience with Git version control are beneficial. Strong analytical thinking, problem-solving abilities, and excellent communication skills are essential. This is a fantastic entry-level role to launch your career in data science in Stoke-on-Trent .
Graduate Data Scientist - Predictive Analytics
Posted 8 days ago
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Job Description
As a Graduate Data Scientist intern, you will work under the guidance of experienced mentors, assisting in the collection, cleaning, and preprocessing of large datasets from various sources. You will be involved in exploratory data analysis, identifying patterns, and generating visualizations to communicate findings effectively. A key part of your role will be to support the development and implementation of predictive models using statistical techniques and machine learning algorithms. You will gain practical experience with tools and programming languages commonly used in data science, such as Python or R, and relevant libraries (e.g., Pandas, Scikit-learn, TensorFlow).
This internship is designed to provide a comprehensive learning experience, covering the entire data science lifecycle. You will have the opportunity to participate in model evaluation, interpretation, and deployment phases. The role requires a strong analytical mindset, a keen attention to detail, and a genuine curiosity for uncovering insights from data. Excellent problem-solving skills and the ability to work collaboratively within a team are essential. While this is an internship, our client seeks candidates with a strong foundational understanding of statistical concepts and programming, demonstrating a high potential for growth and development within the field of data science. This is an ideal stepping stone for recent graduates eager to apply their academic knowledge in a real-world business context.
Qualifications:
- Recent graduate with a degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field.
- Strong understanding of statistical principles and machine learning concepts.
- Proficiency in Python or R programming languages.
- Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy).
- Familiarity with data visualization tools and techniques.
- Excellent analytical and problem-solving skills.
- Good communication and teamwork abilities.
- Eagerness to learn and contribute in a professional environment.
- Familiarity with SQL is a plus.
Graduate Data Scientist - Predictive Analytics
Posted 10 days ago
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Job Description
Your responsibilities will include:
- Assisting in the collection, cleaning, and preprocessing of large datasets from various sources.
- Performing exploratory data analysis to identify trends, patterns, and insights.
- Developing and testing statistical and machine learning models under the guidance of senior team members.
- Visualizing data and model results effectively for reporting and presentation purposes.
- Collaborating with cross-functional teams to understand business requirements and translate them into data science problems.
- Contributing to the documentation of data science processes, methodologies, and results.
- Staying abreast of the latest advancements in data science and machine learning.