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

Dentsu

<div>Job Description:
Wil jij als Data Scientist werken aan marketingvraagstukken met data en AI? Ben jij op zoek naar een plek waar je modellen bouwt die niet in een rapport verdwijnen, maar direct impact maken bij klanten? Dan pas je perfect bij het Data Science team van dentsu.
Over ons
dentsu is een internationaal media- en marketingbureau dat merken helpt groeien via strategie, media-inkoop, data en technologie. Bij dentsu streven we naar een veilige werkplek met als doel gelijke kansen en behandeling voor iedereen. Bij ons moet iedereen zich welkom en veilig voelen om te zijn wie je bent en waar iedereen zich kan uiten.
De rol
Als Data Scientist werk je binnen het Marketing Intelligence team: een groep analytisch sterke collega&rsquo;s die data vertalen naar concrete marketingbeslissingen.
Je werkt aan vraagstukken zoals:<ul><li>
Marketing Mix Modelling;</li><li>
Attribution en klantgedrag;</li><li>
Churn en Customer Segmentation;</li><li>
Predictive Analytics.</li></ul>
Je rol gaat verder dan alleen modellen bouwen. Je vertaalt en presenteert de analyses op een heldere manier aan klanten, zodat zij betere datagedreven beslissingen kunnen nemen. Verder werk je mee aan AI-gedreven toepassingen, zoals tools die inzichten toegankelijk maken, handmatige processen automatiseren en de stap van data naar beslissing versnellen.
Dit breng je mee<ul><li>
Afgeronde master in een kwantitatieve richting (bijvoorbeeld Econometrics, Mathematics, Statistics of Computer Science);</li><li>
Relevante werkervaring als Data Scientist;</li><li>
Ervaring met Python;</li><li>
Sterke analytische vaardigheden;</li><li>
Interesse in het bouwen en implementeren van AI‑oplossingen (zoals LLM&rsquo;s, RAG of agents);</li><li>
Goede communicatievaardigheden;</li><li>
Goede beheersing van Nederlands en Engels.</li></ul>
Nice to have<ul><li>
Ervaring met cloud platforms (GCP, Azure of AWS);</li><li>
Kennis van Bayesian modelling.</li></ul>
Wat je krijgt<ul><li>
Snelle ontwikkeling in data, AI en marketing;</li><li>
Goede arbeidsvoorwaarden en salaris;</li><li>
Werken voor grote en diverse klanten zoals Ahold, Heineken en Netflix;</li><li>
Veel ruimte voor eigen initiatief en idee&euml;n;</li><li>
Intensieve samenwerking met een slim en gedreven team;</li><li>
Internationale werkomgeving met een groot kennisnetwerk.</li></ul>
En niet onbelangrijk: een fijne werksfeer met ruimte voor gezelligheid.
Interesse?
Lijkt dit je interessant? Solliciteer vooral, ook als je nog niet aan alle punten voldoet. We kijken vooral naar potentie en motivatie.
#LI-CK1
#LI-Hybrid
Location:
Amsterdam
Brand:
Dentsu Media
Time Type:
Full time
Contract Type:
Fixed Term Contract (Fixed Term)</div>

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>

Travelodge Hotels Limited

<div>
 
 
 Find where you belong!
 
 
 
 Are you excited by the opportunity to turn complex data into commercial impact? Do you want your models, insights and AI innovations to directly shape the digital experience of millions of customers? If yes, our Data Scientist position might be the right next move for you.
 
 
 
 
 
 
 Your Purpose
 
 
 
 At Travelodge, you'll join our ambitious Digital Team as a Data Scientist, using big data, cloud technologies and cutting-edge AI to solve real business challenges. From optimising marketing investment and maximising customer lifetime value to building intelligent personalisation and predictive models, your work will influence key commercial decisions and drive measurable revenue growth.
 
 
 
 
 
 You'll enjoy the freedom to own projects from end to end, working with minimal oversight while collaborating with digital, marketing and senior business leaders. If you're passionate about applying machine learning, modern AI and data science to deliver tangible business outcomes, this is an opportunity to make a visible impact in a fast-moving, customer-focused environment.
 
 
 
 
 
 
 Your Strengths
 
 
 
 You will be a commercially-minded Data Scientist with a solid understanding of digital commerce and online marketing dynamics (experience optimising ad spend or digital acquisition is highly desirable).
 
 
 
 
 
 You'll have advanced Python and SQL skills, experience building and deploying data science solutions in AWS, Azure or GCP, and hands-on knowledge of modern AI tools and frameworks. You'll bring expertise in statistical modelling, optimisation, forecasting, customer segmentation and experimentation, with the ability to turn complex data into clear commercial insights. Strong communication, stakeholder management and the confidence to work independently are essential, alongside a degree in a quantitative discipline and relevant experience in a data science or advanced analytics role.
 
 
 
 
 
 
 Your Perks
 
 
 <ul>
 <li>
 Salary up to &pound;60,000 plus Annual Bonus
 </li>
 <li>
 Contributory pension scheme
 </li>
 <li>
 Hybrid working - a minimum of 60% of your time should be spent in the office
 </li>
 <li>
 50% personal discount for hotel bookings and great friends and family discounts too!
 </li>
 <li>
 25 days holiday + bank holidays, increasing with length of service
 </li>
 </ul>
 
 
 
 
 
 Why Travelodge?
 
 
 
 At Travelodge, we&rsquo;re more than just a Hotel brand; we&rsquo;re a community where you can truly be yourself and belong. Through our &ldquo;Better Me&rdquo; initiative, we prioritise your total wellbeing&mdash;emotional, physical, financial, and professional&mdash;while actively celebrating the diversity that makes our teams stronger. If you&rsquo;re a results-driven individual who pays attention to the little things and genuinely cares about people, you&rsquo;ll fit right in.
 
</div>

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