data engineer

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senior data engineer

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data scientist

Digital Waffle

<div>
 
 
 Senior Data Scientist | Data, Python, Science
 
 
 
 
 
 
 Senior Data Scientist with previous experience using Python is sought after by one of the UK&rsquo;s most exciting gaming/esports companies. They need a Data Scientist to help their team solve the real-world problems that their technology-driven, data focussed platform faces. You will have the opportunity to join a small, agile team of esports experts and help them build a potentially industry leading data distribution platform.
 
 
 
 
 
 For this position, they are looking for applicants with the following skillset:
 
 <ul>
 <li>
 A passion for clean data/statistics
 </li>
 <li>
 At least 3 years&rsquo; previous experience as a data scientist
 </li>
 <li>
 Python skills/experience
 </li>
 <li>
 Comfortable in an Agile environment
 </li>
 <li>
 Knowledge of GitHub
 </li>
 <li>
 Interest in gaming/esports
 </li>
 <li>
 Previous experience with machine learning models and established statistics
 </li>
 </ul>
 
 
 
 
 In return, they can offer:
 
 <ul>
 <li>
 A salary of up to &pound;85k (depending on experience)
 </li>
 <li>
 A generous training/personal development budget
 </li>
 <li>
 Transport contributions
 </li>
 <li>
 Flexible working hours
 </li>
 <li>
 A great list of perks in a brand-new office (when you are in the office)
 </li>
 </ul>
 
 
 
 
 If you are an experienced Data Scientist and want the chance to work in the gaming/esports industry, apply or contact Luke Rose for more details!
 
 
 
</div>

Data Scientist

LAW CHOICE RECRUITMENT

<div>
 
 
 Data Scientist &ndash; Leading Law Firm
 
 
 
 A leading law firm is seeking a talented Data Scientist to join its growing data and analytics capability. This is a unique opportunity to work at the intersection of law, data and technology&mdash;helping drive smarter decision-making, improve client outcomes, and unlock the value of data across the business.
 
 
 
 
 
 
 The Role
 
 
 <ul>
 <li>
 Develop and deploy data-driven solutions to support legal and business teams
 </li>
 <li>
 Analyse complex datasets to identify trends, risks and opportunities
 </li>
 <li>
 Build predictive models and machine learning solutions to enhance decision-making
 </li>
 <li>
 Collaborate with stakeholders across the firm to translate business challenges into data solutions
 </li>
 <li>
 Contribute to the firm&rsquo;s data strategy, innovation initiatives and digital transformation
 </li>
 <li>
 Support the development of dashboards and visualisations to communicate insights clearly
 </li>
 <li>
 Ensure data quality, governance and best practices are upheld
 </li>
 </ul>
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Partner with legal, finance and business services teams to deliver actionable insights
 </li>
 <li>
 Design and implement statistical and machine learning models
 </li>
 <li>
 Work with structured and unstructured data from multiple internal and external sources
 </li>
 <li>
 Optimise data pipelines and workflows for efficiency and scalability
 </li>
 <li>
 Present findings to senior stakeholders in a clear and compelling way
 </li>
 <li>
 Stay up to date with emerging data science tools, techniques and technologies
 </li>
 </ul>
 
 
 
 
 
 About You
 
 
 <ul>
 <li>
 Proven experience as a Data Scientist or in an advanced analytics role
 </li>
 <li>
 Strong programming skills (e.g. Python, R, SQL)
 </li>
 <li>
 Experience with machine learning, statistical modelling and data visualisation tools
 </li>
 <li>
 Ability to translate complex data into meaningful business insights
 </li>
 <li>
 Strong communication and stakeholder engagement skills
 </li>
 <li>
 Experience within professional services or a regulated environment is advantageous
 </li>
 </ul>
 
 
 
 
 
 Why Apply?
 
 
 <ul>
 <li>
 Opportunity to shape data-driven decision-making within a leading law firm
 </li>
 <li>
 Work on high-impact, real-world projects with senior stakeholders
 </li>
 <li>
 Collaborative and forward-thinking environment
 </li>
 <li>
 Exposure to cutting-edge tools, innovation and digital transformation initiatives
 </li>
 </ul>
 
 
 
 
 
 Apply now
 
 to be part of a team transforming how data drives performance in the legal sector.
 
</div>

Zapp

<div>Data Scientist
Nine Elms, London - Full-time
As part of our vision, we are seeking a talented Data Scientist to join our dynamic, expanding team. Over the last few years we&rsquo;ve built a solid data foundation using best in class technologies (dbt, BigQuery, Airflow) and are just at the start of our journey to leverage this data in a more sophisticated way.
About Zapp:
Zapp is London&rsquo;s leading premium convenience retail platform. Founded in 2020, our vision is to disrupt the multi-trillion dollar convenience retail market, currently dominated by major players, by developing best-in-class customer-centric technology and fulfilment solutions. Zapp partners with some of the world&rsquo;s leading brands to deliver an exclusive range of hand-picked products 24/7, delivered in minutes.
Key Responsibilities:<ul><li>
Stakeholder Management: Help business leaders at Zapp understand and prioritise opportunities related to AI/ML</li><li>
End-to-End Development and Ownership: Own the lifecycle of new models from concept to deployment and monitoring, and continuously iterate.</li><li>
Reporting/Dashboarding</li><li>
Collaboration: Work closely with cross-functional teams to define, design, and implement new features, driving both business and technical excellence.</li><li>
Code Quality: Write scalable, maintainable, and high-quality code while adhering to best practices for testing, deployment, and version control.</li></ul>
Essential skills:<ul><li>
Minimum of 1-2 years of professional experience as a Data Scientist in a commercial setting.</li><li>
Bachelor&rsquo;s degree in Computer Science, Software Engineering, Mathematics, Physics, or a related field.</li><li>
Expertise in Python and developing high-quality, scalable code Hands-on experience with cloud platforms like GCP, AWS, or Azure</li><li>
Solid understanding of SQL</li><li>
Familiarity with version control (Git) and automated deployment pipelines (CI/CD).</li></ul>
Desirable skills:<ul><li>
Past work in retail demand forecasting</li><li>
Experience working in a startup environment</li><li>
Experience with GCP/Vertex AIent</li></ul>
Benefits:<ul><li>
Competitive salary &amp; equity package.</li><li>
Enjoy 25 days of holiday per year (plus all bank holidays).</li><li>
Private Health Insurance.</li><li>
Extended sick pay and maternity/paternity leave pay.</li><li>
Cycle to work scheme.</li><li>
Flexible/hybrid working arrangement</li></ul></div>

LABOUR PARTY

<div></div><div><div><div><div><div><h2 class="jobSectionHeader">Job description</h2><div>
Role: Data Scientist
Salary: &pound;54,673.46 (gross) per annum inclusive of London Weighting, with a fixed sum allowance of &pound;1,195.
Current employees in banding 36 will maintain their existing salary.
Location: Head Office - London
Duration: Permanent 
The Labour Party is looking to recruit a Data Scientist. The post-holder will be responsible for supporting the work of the party in the analysis of voter behaviour, elections and campaigning, to contribute to Labour&rsquo;s political and organisational strategies through the use of data analysis, and lead on the measurement and reporting of campaign progress and campaign effects. 
The successful candidate will have: 
<ul><li>
Strong understanding of statistical modelling, with a minimum of degree-level statistical understanding, or equivalent professional experience</li><li>
Strong understanding of polling methodology and how to use to polling to answer political questions.</li><li>
Experience of conducting analysis and reporting on political data and polling and producing outputs like reports, visualisations and dashboards for stakeholders.</li><li>
Ability to understand how data on voters, campaigns and elections can be used to drive strategic decision making</li></ul> 
The Labour Party&rsquo;s standard working arrangement is that all employees based in headquarters in London/Newcastle attend their contracted office four days per week, Monday to Thursday. Home working is only authorised on Fridays. 
The deadline for applications is 12 July 2026. 
The Labour Party values equality and diversity, and welcomes applications from candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marriage and civil partnership, or pregnancy and maternity.</div></div></div></div></div></div>

Claims Recruitment Services Limited

<div><div><h3 class="jobSectionHeader">Job Information</h3>
<ul><div>Date Opened
<div>23/06/2026
</div></div><div>Job Type
<div>Permanent
</div></div><div>Industry
<div>Insurance
</div></div><div>City
<div>London
</div></div><div>Province
<div>London
</div></div><div>Country
<div>United Kingdom
</div></div><div>Postal Code
<div>N/A
</div></div></ul></div><div><h3 class="jobSectionHeader">Job Description</h3>
<div>We are recruiting for a Data Scientist on behalf of one of the UK's fastest-growing technology consultancies, ranked in the Financial Times FT1000 Europe's Fastest-Growing Companies list in both 2025 and 2026. 
This is a genuinely compelling opportunity for a Data Scientist who wants their work to mean something. Our client is a fast-growing, values-driven consultancy working at the heart of the UK's most critical public sector programmes, spanning cyber security, national security, law enforcement, and telecommunications. As a Data Scientist, you will tackle complex, high-stakes data challenges for government clients, applying advanced data science and machine learning techniques to help organisations make faster, more accurate, and better-informed decisions where it really counts. 
Key Responsibilities 
<ul><li>
Leading client projects and providing subject matter expertise, including pitches and presentations. 
</li><li>
Working in scrum-like environments for iterative, fail-fast work and innovation. 
</li><li>
Assessing clients' business and technical needs, identifying opportunities for data science and managing stakeholder relationships appropriately. 
</li><li>
Identifying relevant data sources and working with various forms of data, including unstructured, semi-structured, and structured formats, modelling them appropriately for efficient data science use. 
</li><li>
Investigating and analysing data to identify meaningful insights, applying statistical and evidence-based techniques to inform actions. 
</li><li>
Communicating technical content clearly to both internal teams and clients, presenting a compelling narrative of the data using data science tooling. 
</li><li>
Building maintainable code using existing data science libraries, implementing established techniques or developing novel approaches as required. 
</li><li>
Designing, evaluating, and implementing on-premises, cloud-based, and hybrid data science and machine learning techniques and algorithms, including testing, risk identification, and mitigation. 
</li><li>
Developing scalable models and algorithms suitable for production deployment. 
</li><li>
Applying ethical principles in handling data.</li></ul> 
Key Requirements 
<ul><li>
5+ years of degree-level industry experience in data science, with a background in a STEM subject. 
</li><li>
Experience working in a consultancy, engineering, or data industry. 
</li><li>
Experience leading client delivery across data science, data engineering, and data security projects, with proven Python skills applied to data science. 
</li><li>
Experience working on cloud-based infrastructure such as AWS, Azure, or GCP. 
</li><li>
Knowledge of CI / CD tooling to analyse, build, test, and deploy code. 
</li><li>
Experience in database technologies including SQL, NoSQL such as Elasticsearch, and graph databases. 
</li><li>
Solid understanding of coding best practices, design patterns, versioning, dependency management, code quality, optimisation, error handling, logging, monitoring, and alerting. 
</li><li>
Demonstrable continuous personal development and strong interpersonal skills.</li></ul> 
If you enjoy untangling complex data problems, thrive in uncertain environments, and want to be part of a team that is agile, collaborative, and genuinely daring, this is an opportunity worth exploring. You will have the chance to lead from the front, shape the future of a fast-growing business, and do work that has real, lasting impact on the security and resilience of the UK. 
To learn more, please get in touch. 
Due to the nature of the clients and projects supported by this role, all candidates must be British nationals and eligible to obtain UK Security Clearance (SC). Candidates holding dual nationality or multiple passports are unfortunately unable to be considered for this position.<div></div><div> 
We do not retain any personal information without your permission. Please refer to our data protection policy on our official website for more information.</div></div></div></div>

Prospect 33

<div>
 
 Data Scientist
 
 
 
 Location:
 
 United Kingdom (Hybrid)
 
 
 
 Employment Type:
 
 Full-Time
 
 
 
 About Prospect 33
 
 
 
 Prospect 33 is an established specialist firm, founded in 2005, that partners with global financial institutions and develops AI, data, and technology solutions for some of the world's leading banks and financial services organisations.
 
 
 
 The Opportunity
 
 
 
 We are seeking a Data Scientist to join our team in the United Kingdom. In this role, you will apply statistical analysis, machine learning, and data modelling techniques to solve complex business problems and generate actionable insights.
 
 
 Working closely with stakeholders, engineers, and business teams, you will help design and develop analytical solutions that support decision-making, improve operational efficiency, and drive business value.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Analyse large and complex datasets to identify trends, patterns, and opportunities
 </li>
 <li>
 Develop, test, and maintain statistical and machine learning models
 </li>
 <li>
 Perform data preparation, feature engineering, and exploratory data analysis
 </li>
 <li>
 Design and evaluate experiments to measure model performance and business impact
 </li>
 <li>
 Build data visualisations and communicate findings to technical and non-technical stakeholders
 </li>
 <li>
 Collaborate with cross-functional teams to understand business challenges and translate them into analytical solutions
 </li>
 <li>
 Support the deployment, monitoring, and enhancement of predictive models
 </li>
 <li>
 Document methodologies, assumptions, and results to ensure transparency and reproducibility
 </li>
 <li>
 Stay current with developments in data science, machine learning, and analytics
 </li>
 </ul>
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, or another quantitative discipline
 </li>
 <li>
 2&ndash;5 years of experience in data science, analytics, machine learning, or a related field
 </li>
 <li>
 Strong proficiency in Python and SQL
 </li>
 <li>
 Experience applying statistical analysis and machine learning techniques to real-world problems
 </li>
 <li>
 Experience working with large and complex datasets
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Excellent communication and stakeholder management abilities
 </li>
 </ul>
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Operations Research, or a related quantitative field
 </li>
 <li>
 Experience within financial services, banking, asset management, fintech, consulting, or other data-driven industries
 </li>
 <li>
 Experience with cloud platforms such as AWS, Azure, or GCP
 </li>
 <li>
 Familiarity with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch
 </li>
 <li>
 Experience with data visualisation tools such as Power BI or Tableau
 </li>
 <li>
 Knowledge of model deployment and MLOps concepts
 </li>
 </ul>
 
 
 Technical Skills
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 SQL
 </li>
 <li>
 Pandas
 </li>
 <li>
 NumPy
 </li>
 <li>
 Scikit-learn
 </li>
 <li>
 Jupyter Notebooks
 </li>
 <li>
 Git
 </li>
 <li>
 Power BI or Tableau
 </li>
 </ul>
 
 
 Preferred Skills
 
 
 <ul>
 <li>
 Strong statistical and analytical thinking
 </li>
 <li>
 Ability to communicate complex concepts clearly and effectively
 </li>
 <li>
 Intellectual curiosity and a passion for solving challenging problems
 </li>
 <li>
 Strong attention to detail and commitment to quality
 </li>
 <li>
 Ability to manage multiple priorities in a fast-paced environment
 </li>
 <li>
 Collaborative mindset and excellent interpersonal skills
 </li>
 <li>
 Experience working with business stakeholders and cross-functional teams
 </li>
 </ul>
 
 
 
</div>

Sagacity

<div>
 
 As a Data Scientist within the Analytics Team, you will contribute to data-driven strategies for our clients. Working closely with the Data &amp; Analytics Manager and senior colleagues, you will deliver data science projects and collaborate with stakeholders across data strategy, sales, account management, delivery and marketing.
 
 
 
 
 
 You will bring solid technical skills and commercial awareness to deliver data solutions that drive measurable operational performance. This is a hands-on role - ideal for someone who thrives on translating data into actionable insight and producing high-quality outcomes.
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 
 As a Data Scientist within the Analytics Team, you will contribute to data-driven strategies for our clients.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Deliver data science projects, from problem definition through to actionable insights and presentation of results
 </li>
 <li>
 Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes
 </li>
 <li>
 Build and maintain data pipelines, ensuring data quality, consistency, and integrity across multiple sources and formats
 </li>
 <li>
 Translate complex analyses into clear, commercially relevant recommendations for clients and internal stakeholders
 </li>
 <li>
 Work with client teams to identify analytical opportunities, support marketing strategy, and quantify the impact of data-driven decision-making
 </li>
 <li>
 Support pre-sales and client engagement, helping to demonstrate the value of data insight
 </li>
 <li>
 Follow best practices in data science, reproducible research, and ethical AI
 </li>
 <li>
 Collaborate cross-functionally to enhance the company&rsquo;s products and marketing data solutions
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 2+ years&rsquo; experience in data science, analytics, or statistical modelling, ideally with commercial experience within the Telecoms, Banking or Utilities industries; or within a data-related consultancy
 </li>
 <li>
 Educated to degree level (postgraduate preferred) in a quantitative discipline such as Computer Science, Statistics, Mathematics, Economics, or similar
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 
 
 
 <ul>
 <li>
 Working knowledge of statistical and machine learning methods (e.g. logistic regression, gradient boosting, random forests, clustering, NLP)
 </li>
 <li>
 Proficient in Python and/or R, with strong experience in data quality, model development and feature engineering
 </li>
 <li>
 Strong command of SQL and familiarity with data engineering environments such as Databricks or similar
 </li>
 <li>
 Skilled in data visualisation and storytelling using tools such as Power BI, Tableau, Plotly, or Sigma
 </li>
 <li>
 Demonstrated ability to translate technical findings into strategic recommendations for non-technical audiences
 </li>
 <li>
 Commercially aware, with proven success in applying analytics to solve business problems
 </li>
 <li>
 Strong communicator; able to engage stakeholders and present findings with clarity and confidence
 </li>
 <li>
 Self-motivated, organised, and proactive, with the ability to manage multiple priorities and stakeholders in a fast-paced environment
 </li>
 <li>
 Willing to travel across the UK for client engagements
 </li>
 <li>
 Must have the right to work in the UK and a commitment to ongoing professional development
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills
 
 
 
 
 
 <ul>
 <li>
 Regular iteration on our machine learning methodologies, tools, and frameworks
 </li>
 <li>
 Consistent demonstration of technical excellence and commercial insight in all project deliverables
 </li>
 <li>
 Measurable contribution to the enhancement of Sagacity&rsquo;s data science and analytics product suite
 </li>
 </ul>
</div>

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908 data scientist jobs In London

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