755 Data Scientist Specialist jobs in the United Kingdom

• Assist in data collection, cleaning, and preprocessing.
• Perform data analysis to identify trends and patterns.
• Develop data visualizations and reports.
• Support senior analysts in deriving insights from data.
• Collaborate with team members on data-driven projects.
• Learn and apply new data analysis techniques and tools.

• Assist in the collection, cleaning, and organization of data from various sources.
• Perform data analysis using statistical methods and software.
• Develop reports and visualizations to communicate findings effectively.
• Support senior analysts in identifying trends and patterns within datasets.
• Learn and apply data modeling techniques.
• Participate in team meetings and contribute to project discussions.
• Maintain data integrity and accuracy.
• Develop skills in programming languages commonly used in data analysis (e.g., Python, R, SQL).

• A recent graduate with a degree in Mathematics, Statistics, Computer Science, Economics, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel; experience with other data analysis tools is a plus.
• Eagerness to learn and develop skills in data analysis and programming.
• Good communication and teamwork abilities.
• Attention to detail and commitment to accuracy.
• Must be eligible to work in the UK.

At Tata Technologies we make product development dreams a reality by designing, engineering and validating the products of tomorrow for the worlds leading manufacturers. Due to our continued growth we are now recruiting for a Data Analysis Engineer SOX Algorithm to be based at our customers site in Gaydon .

Our Embedded Systems Solutions department (ESS) encompasses all activities outlined under th.

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The Administrative Support Officer provides essential support to ensure efficient office operations and assists various departments by managing administrative tasks, coordinating communication, and maintaining organizational systems. This role is vital in fostering a productive and organized work environment.

Key Responsibilities

• Manage day-to-day office activities including scheduling, correspondence, and filing.
• Handle incoming calls, emails, and visitor inquiries professionally and promptly.
• Prepare and process documents, reports, and presentations as required.
• Maintain office supplies inventory and coordinate procurement when necessary.
• Assist in organizing meetings, events, and travel arrangements.
• Support HR and finance departments with data entry and record-keeping tasks.
• Ensure office equipment is functioning and arrange for repairs when needed.
• Maintain accurate and confidential records and databases.

Qualifications & Skills

• High school diploma or equivalent; relevant certifications or diploma in office administration is an advantage.
• Proven experience in administrative or office support roles.
• Excellent organizational and multitasking skills.
• Strong communication and interpersonal abilities.
• Proficiency in Microsoft Office Suite (Word, Excel, Outlook).
• Ability to handle sensitive information with discretion.
• Detail-oriented with good problem-solving skills.

Role: Machine Learning Operations Engineer
Location: Oxfordshire
Salary: 65,000 - 75,000

This is an exciting opportunity to join a world leading company specialising in motion capture and tracking systems, with products used globally in the entertainment, engineering, and life sciences sectors. My Client are looking for a talented Machine Learning Operations Engineer to support and enhance their cutting edge machine learning capabilities.

The Role

You will join a collaborative Research and Development team based in Oxford, contributing to the development and maintenance of a modern ML operations stack. This includes data acquisition pipelines, data management, and machine learning model training infrastructure. The environment includes both self-managed on premise systems and cloud-based infrastructure, primarily using AWS.

You will have the opportunity to influence the technical direction of the ML Ops team, propose new areas for development, and potentially lead your own projects.

This is a hybrid role combining remote and on site working. There is no expectation to be available outside core business hours.

Key Responsibilities

• Maintain and improve ML Ops infrastructure
• Manage on premise Kubernetes clusters and ML pipelines
• Integrate ML toolkits into operational workflows
• Collaborate with ML developers to streamline workflows
• Suggest and implement technical improvements and new tools

Required Skills and Experience

• Academic background (research Masters level) or industry experience in a relevant field
• Strong experience managing on premise Kubernetes clusters
• Deep knowledge of Kubeflow or similar systems such as MLflow
• Proficient in Python and experienced with Linux systems
• Familiar with AWS services such as Cognito, S3, EC2 and Lambda
• Experience working with ML frameworks such as PyTorch or Lightning
• Capable of designing and delivering ML Ops solutions across various platforms

Desirable Skills

• Background in DevOps with experience in CI systems such as Jenkins
• Familiarity with infrastructure as code tools such as Ansible
• Interest in human motion capture, sports tech, or animation
• Exposure to C++ is a bonus

Benefits

• 65,000 - 75,000 (DOE)
• 10 percent company pension
• 25 days annual leave plus bank holidays
• Life assurance
• Private medical insurance including dental and optical
• Permanent health insurance
• Cycle to work scheme
• Free on site parking

WR Engineering are the #1 recruitment partner for engineering, manufacturing & technical sales jobs. We recruit for permanent and contract jobs UK wide.

WR is acting as an Employment Agency in relation to this vacancy.

Role: Machine Learning Operations Engineer
Location: Oxfordshire
Salary: 65,000 - 75,000

This is an exciting opportunity to join a world leading company specialising in motion capture and tracking systems, with products used globally in the entertainment, engineering, and life sciences sectors. My Client are looking for a talented Machine Learning Operations Engineer to support and enhance their cutting edge machine learning capabilities.

The Role

You will join a collaborative Research and Development team based in Oxford, contributing to the development and maintenance of a modern ML operations stack. This includes data acquisition pipelines, data management, and machine learning model training infrastructure. The environment includes both self-managed on premise systems and cloud-based infrastructure, primarily using AWS.

You will have the opportunity to influence the technical direction of the ML Ops team, propose new areas for development, and potentially lead your own projects.

This is a hybrid role combining remote and on site working. There is no expectation to be available outside core business hours.

Key Responsibilities

• Maintain and improve ML Ops infrastructure
• Manage on premise Kubernetes clusters and ML pipelines
• Integrate ML toolkits into operational workflows
• Collaborate with ML developers to streamline workflows
• Suggest and implement technical improvements and new tools

Required Skills and Experience

• Academic background (research Masters level) or industry experience in a relevant field
• Strong experience managing on premise Kubernetes clusters
• Deep knowledge of Kubeflow or similar systems such as MLflow
• Proficient in Python and experienced with Linux systems
• Familiar with AWS services such as Cognito, S3, EC2 and Lambda
• Experience working with ML frameworks such as PyTorch or Lightning
• Capable of designing and delivering ML Ops solutions across various platforms

Desirable Skills

• Background in DevOps with experience in CI systems such as Jenkins
• Familiarity with infrastructure as code tools such as Ansible
• Interest in human motion capture, sports tech, or animation
• Exposure to C++ is a bonus

Benefits

• 65,000 - 75,000 (DOE)
• 10 percent company pension
• 25 days annual leave plus bank holidays
• Life assurance
• Private medical insurance including dental and optical
• Permanent health insurance
• Cycle to work scheme
• Free on site parking

WR Engineering are the #1 recruitment partner for engineering, manufacturing & technical sales jobs. We recruit for permanent and contract jobs UK wide.

WR is acting as an Employment Agency in relation to this vacancy.