Data Scientist

Daintta Ltd; City of London; On-site; GBP 100,000 - 125,000; Full time

Job summary

A leading tech consultancy in the UK is seeking a Cyber Security Graduate to support senior consultants in delivering data-driven insights. This entry-level role offers a chance to develop skills and gain exposure to various industries in a hybrid working environment. Candidates should be degree educated, possess strong communication and collaboration skills, and be proactive in problem-solving. Benefits include health insurance, a professional development budget, and various perks.

Benefits

25 days annual leave

Comprehensive Private Health Insurance

Employee Assistance Programme

£2,000 Flex Cash Allowance

5% pension contribution

Discretionary company awards and bonuses

Free breakfast every Tuesday in the London office

Regular social events

Qualifications

• Degree educated or equivalent.
• Clear verbal and written communication skills.
• Ability to work effectively in multidisciplinary teams.
• Analytical thinking and structured problem-solving approach.
• Willingness to learn new tools and methodologies quickly.
• Proactive attitude and ownership of tasks.
• Manage multiple tasks in fast-paced environments.
• Thorough approach to analysis and documentation.

Responsibilities

• Support client projects under guidance of senior consultants.
• Work in agile environments encouraging learning.
• Assist in identifying opportunities for data science.
• Apply basic data science techniques in problem-solving.
• Explore and analyze data to uncover insights.

Skills

Communication

Collaboration

Problem-Solving

Adaptability

Initiative

Time Management

Attention to Detail

Client Focus

Education

Degree Educated or equivalent

Tools

Data visualization tools (Matplotlib, Seaborn, Power BI, Tableau)

Cloud platforms (AWS, Azure, GCP)

Version control tools (Git)

Job description

Daintta is a rapidly expanding, values-driven team of specialists who collaborate with both public and private sector clients across the domains of Cyber, Telecommunications, and Data. We are seeking a talented and motivated Cyber Security Graduate to join our team and contribute to our mission of safeguarding the UK through data-driven insights and solutions. Being a part of our Advanced Professions Programme means you\'ll be at the heart of our consulting projects - supporting senior consultants, engaging with clients, and helping to deliver solutions to their most complex challenges. This is an exciting opportunity to launch your career in consulting, gain exposure to different industries, and develop your skillset in a fast-paced, collaborative and supportive environment.

Key Responsibilities

• Support client projects under the guidance of senior data scientists.
• Work in agile, iterative environments that encourage experimentation and learning.
• Assist in understanding client business and technical needs to identify opportunities for data science.
• Apply basic data science techniques to solve problems in a structured and robust way.
• Help identify and prepare relevant data sources for analysis.
• Work with various types of data (structured, semi-structured, unstructured) and learn appropriate modeling approaches.
• Explore and analyse data to uncover patterns and insights.
• Use statistical methods to support evidence-based decision-making.
• Communicate technical findings clearly to both internal teams and clients.
• Contribute to presenting data-driven stories using appropriate tools and visualisations.
• Write maintainable code using established data science libraries and techniques.
• Learn to support the design and implementation of machine learning models in different environments (cloud, on-premise, hybrid).
• Assist in developing scalable models that can be deployed in production settings.
• Follow ethical guidelines when handling and analysing data.
• Deliver high-quality work within agreed timelines and show initiative in learning and contributing.
• Support client engagements, including preparing materials for presentations and meetings.
• Contribute to internal initiatives that support the growth of the data science practice.
• Uphold and promote our values of being transparent, fair, and daring, both internally and externally.

Required Skills & Knowledge

• Degree Educated or equivalent.
• Communication: Clear verbal and written communication, especially when translating technical concepts for non-technical audiences.
• Collaboration: Ability to work effectively in multidisciplinary teams and contribute to shared goals.
• Problem-Solving: Analytical thinking and a structured approach to breaking down complex challenges.
• Adaptability: Willingness to learn new tools, frameworks, and methodologies quickly.
• Initiative: Proactive attitude, with the confidence to ask questions and take ownership of tasks.
• Time Management: Ability to manage multiple tasks and meet deadlines in fast-pace environments.
• Attention to Detail: Careful and thorough approach to analysis, documentation, and delivery.
• Client Focus: Professionalism and empathy when engaging with stakeholders and understanding their needs.

Nice to Have Experience & Knowledge

• Exposure to machine learning concepts, such as classification, clustering, or model evaluation.
• Experience with data visualisation tools like Matplotlib, Seaborn, Power BI, or Tableau.
• Familiarity with cloud platforms (e.g. AWS, Azure, or GCP) or version control tools like Git.
• Knowledge of ethical considerations in data science, such as bias, fairness, and responsible AI.
• Experience working with unstructured data, such as text or images.
• Basic understanding of agile or project-based work environments.

Benefits

Time Off

• 25 days annual leave, plus bank holidays
• Up to 5 days annual training leave with a dedicated training budget
• Up to 3 days annual volunteering leave - give back to the community
• Competitive maternity, paternity, shared parental leave & compassionate leave

Health & Wellness

• Comprehensive Private Health Insurance
• Employee Assistance Programme - 24/7 support services
• £2,000 Flex Cash Allowance, paid pro-rata over the year

Financial Benefits

• 5% pension contribution
• Discretionary company awards and bonuses, based on performance and company targets
• Access to Electric Vehicle (EV) Salary Sacrifice scheme

Professional Development

• Up to £1,000 annual training budget (access to additional training and development budget via business case)
• Up to 5 days annual training leave
• 1 professional membership paid annually
• Up to £200 of additional IT budget for new joiners

Perks

• Free breakfast every Tuesday in the London office
• Fortnightly drinks in London
• Regular social events, quizzes, and guest workshops
• Huckletree perks including gym and restaurant discounts
• Employee referral programme
• Monthly breakfast club in our Cheltenham office

Location: Hybrid, with 2–3 days working from the Daintta office (London/Cheltenham) or on client site as required.

Security information: 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 https://www.gov.uk/government/organisations/united-kingdom-security-vetting

Seniority level: Entry level

Employment type: Contract

Job function: Science

Industries: IT System Data Services