Data Scientist Analyst — Hybrid & Client‑Facing

DAINTTA; Greater London; Hybrid; GBP 40,000 - 60,000; Full time

Benefits offered by this job

25 days annual leave

Training budget

Volunteer leave

Parental leave

Private health insurance

Employee assistance program

Flex cash allowance

Pension contribution

Discretionary bonuses

IT budget

Breakfast in London office

Social events

Job summary

Daintta is seeking a Data Scientist Analyst to join our rapidly expanding team. You’ll contribute to real-world data projects, explore diverse datasets, apply statistical techniques, and support scalable model development.

You’ll learn to communicate insights effectively within a dynamic, client-focused setting. Hybrid working arrangement in London or Cheltenham, with opportunities to engage with both public and private sector clients across cyber, telecoms, and data domains.

Qualifications

• Degree educated or equivalent.
• Clear verbal and written communication, especially translating technical concepts for non-technical audiences.
• Ability to work in multidisciplinary teams and contribute to shared goals.
• Analytical thinking with a structured approach to complex challenges.
• Willingness to learn new tools, frameworks and methodologies quickly.
• Proactive attitude with ownership of tasks.
• Ability to manage multiple tasks and meet deadlines in fast-paced environments.
• Careful and thorough approach to analysis, documentation and delivery.
• Professionalism and empathy when engaging with stakeholders.

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 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 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.
• 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.

Skills

Clear communication

Collaboration

Problem solving

Adaptability

Initiative

Time management

Attention to detail

Client focus

Degree educated

Education

Degree educated or equivalent

Job description

Daintta is seeking a Data Scientist Analyst to join our rapidly expanding team. You’ll contribute to real-world data projects, explore diverse datasets, apply statistical techniques, and support scalable model development.

You’ll learn to communicate insights effectively within a dynamic, client-focused setting. Hybrid working arrangement in London or Cheltenham, with opportunities to engage with both public and private sector clients across cyber, telecoms, and data domains.