727 Data Scientist Specialist jobs in the United Kingdom
Data Scientist Specialist
Posted 1 day ago
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You enjoy working on complex data problems whilst being able to suggest simple (yet effective) solutions. You are comfortable working with uncertainty and like to make things clearer. You're passionate about technology and keep up as it evolves. You focus on the future and thrive most when solving problems. Client's love working with you. You are honest and do things when you say you will, you also know how to explain things clearly and concisely. You can educate and inspire. You've got a background in data science, machine learning algorithms and data engineering along with their technologies. You're equally comfortable presenting to clients, providing advice or building prototypes. You're a collaborator and enjoy stepping out of your role from time to time, whether it's to support your clients, colleagues or to learn something new.
What might you be doing?
- Leading client projects and providing subject matter expertise.
- Working in scrum-like environments for iterative and 'fail-fast' work and innovation.
- Assessing your clients' business and technical needs with the ability to identify opportunities for data science to be used and managing clients' stakeholders' relationship appropriately.
- Solving problems using data science techniques and in a scientifically robust fashion.
- Identifying data sources that are relevant to client needs, and related data science concepts that leverage those sources to aid the client.
- Working with various forms of data (e.g., unstructured, semi-structured or structured; text, time-series or image) and suitably modelling them (e.g., table, key-value pair, graph) for efficient data science use.
- Investigating and analysing data to see 'the wood from the trees' and drilling down to the 'whys' of the data.
- Applying statistical and evidence-based techniques to inform insights and actions from the data.
- Communicating technical content at the right level both internally and to customers.
- Presenting to the client, using data science tooling and investigation, a 'story' of the data.
- Building maintainable code that use existing data science libraries, implement existing data science techniques, or implement novel techniques.
- Designing, evaluating, and implementing on-premise, cloud-based and hybrid data science and machine learning techniques and algorithms (including providing relevant review and guidance on testing aspects, identification of risks and proposing and implementing their mitigations).
- Developing scalable models and algorithms that can be deployed into production environments.
- Applying ethical principles in handling data.
- Accurately delivering high quality work to agreed timelines and taking the initiative and knowing how to jump straight in.
- Supporting client engagements, including pitches and presentations.
- Helping to support & grow Daintta by actively inputting into the company strategy and helping to shape our future.
- Representing us and our core values: transparent, fair and daring.
- You have 5+ years of degree level industry experience in data science.
- You have extensive degree level experience in a STEM subject.
- You have experience of working in a consultancy, engineering, or data industry.
- You have led client delivery across a range of projects, including data science, data engineering, data security and proven experience in relevant technologies (e.g., Python applied to data science).
- You have experience working on cloud-based infrastructure (e.g., AWS, Azure, GCP).
- You have demonstrable continuous personal development.
- You have strong interpersonal skills.
- You have experience with using CI/CD tooling to analyse, build, test and deploy your code and proven experience in their technologies.
- You have experience in database technologies (e.g., SQL, NoSQL such as Elasticsearch and Graph databases).
- You have a good understanding of coding best practices and design patterns and experience with code and data versioning, dependency management, code quality and optimisation, error handling, logging, monitoring, validation and alerting.
Hybrid, with 2-3 days working from Daintta office or on client site as required.
What's in it for you?
You will be joining the company at Daintta "Manager" grade. In addition to being rewarded fairly for your contribution to the business, you get to work in a dynamic organisation that is agile and responsive. A business that is growing fast and where you get to drive and shape the future. A place where you are respected by everyone and your voice is important. Somewhere where you can be innovative and creative. A place where you have the opportunity to learn about all aspects of business from marketing to sales, to delivery and business operations.
Time to tell you about us!
We are Daintta. We provide deep expertise with technical and business specialists to help clients and organisations secure and protect the UK. In complex environments, we use innovative methods to solve the hardest data challenges to help organisations make more informed and accurate decisions, at scale and faster. We are agile, responsive, independent, and collaborative while our values of Fair, Transparent and Daring guide all our decision making.
Security
Due to the nature of this position, you must be willing and eligible to achieve a minimum of SC clearance. To qualify, you must be a British Citizen and have resided in the UK for the last 5 years. For more information about clearance eligibility, please see #J-18808-Ljbffr
Graduate Trainee - Data Analysis
Posted today
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Key Responsibilities:
- 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.
Graduate Trainee - Data Analysis
Posted 2 days ago
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Job Description
Graduate Trainee - Data Analysis
Posted 2 days ago
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Job Description
Key Responsibilities:
- 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).
Qualifications:
- 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.
Remote Advanced Apprentice - Data Analysis
Posted today
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Graduate Software Engineer (Data Analysis)
Posted 4 days ago
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Job Description
In this role, you will immerse yourself in the exciting world of data, contributing to the development and refinement of cutting-edge analytical tools. Your primary responsibilities will include writing clean, efficient, and maintainable code in languages such as Python, Java, or C++ to support data processing and analysis pipelines. You will collaborate closely with senior engineers and data scientists to understand complex datasets, identify trends, and build robust software solutions that drive business insights. Furthermore, you'll participate in code reviews, contributing to a culture of continuous learning and improvement. You will also be involved in testing and debugging code to ensure the highest quality and performance of our client's software products.
The ideal candidate will possess a strong academic background, holding a degree in Computer Science, Software Engineering, Mathematics, or a related quantitative field. Prior internship or project experience in software development or data analysis is highly advantageous. We are looking for individuals with excellent analytical and logical thinking skills, a strong understanding of algorithms and data structures, and a keen eye for detail. Proficiency in at least one programming language is essential, and familiarity with database technologies (SQL, NoSQL) and version control systems (Git) would be beneficial. You should be a proactive learner, eager to adapt to new technologies and methodologies. As this is a remote-first position, exceptional communication and collaboration skills are paramount, with the ability to work effectively both independently and as part of a distributed team. Embrace the opportunity to launch your career in software engineering with a company that values innovation and employee growth. We are committed to providing comprehensive training and mentorship to help you succeed.
Location: Remote (UK-based candidates welcome)
Data Analysis Engineer - SOX Algorithm
Posted 1 day ago
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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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DATA ENTRY AND ANALYSIS
Posted 14 days ago
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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.
Company Details
Machine Learning Engineer
Posted 15 days ago
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Job Description
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.
Machine Learning Engineer
Posted 1 day ago
Job Viewed
Job Description
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.