Data Scientist - Fraud & Payments

<div class="content-intro"><p></p>

<p><strong><span data-olk-copy-source="MessageBody">About THG Ingenuity</span></strong></p>

<p>THG Ingenuity is a fully integrated digital commerce ecosystem, designed to power brands without limits. Our global end-to-end tech platform is comprised of three products: THG Commerce, THG Studios, THG Fulfilment.&nbsp;</p>

<p>Each represents a single, unified solution, overcoming challenges and taking brands direct-to-consumer. Our client portfolio includes globally recognised brands such as Coca-Cola, Nestle, Elemis, Homebase, and Proctor &amp; Gamble.</p></div><p><strong>The Role</strong></p>

<p>We are seeking a talented and commercially astute Data Scientist to join our dynamic team tackling Fraud, Payments and Finance. In this multi-focus role, you will be responsible for protecting our global e-commerce operations from fraud, optimising our payments performance and driving profitability and automation initiatives within Finance.</p>

<p>Working with vast, complex datasets, the work will involve combatting online fraud using our award-winning THG Detect platform and driving payments optimisation by increasing authorisation rates, while also using the latest AI software and Google Cloud Platform (GCP) infrastructure to build complex data solutions and applications.</p>

<p>This role requires a blend of strong technical skills, commercial acumen, and effective communication to translate complex data insights into tangible business value.</p>

<p><strong>Responsibilities:</strong></p>

<ul>

<li><strong>Optimise Fraud Detection:</strong>&nbsp;Continuously improve automated decision-making in our in-house THG Detect platform using machine learning and decision rules.</li>

<li><strong>Enhance Payment Performance:</strong>&nbsp;Lead data-driven initiatives to boost payment authorisation rates, optimise transaction routing, and reduce costs.</li>

<li><strong>Drive Profitability within Finance:</strong>&nbsp;Lead automation and profitability initiatives across different areas of Finance.</li>

<li><strong>Communicate Performance:</strong>&nbsp;Report on all aspects of fraud, payments and finance performance to stakeholders at all levels, including C-level management.</li>

<li><strong>Drive System Improvements:</strong>&nbsp;Collaborate with Fraud, Payments, Finance and Engineering teams to scope and implement enhancements to detection systems and data pipelines.</li>

<li><strong>Innovate &amp; Automate:</strong>&nbsp;Proactively identify opportunities to improve detection capabilities, drive profitability, increase payment success, and enhance team efficiency through automation.</li>

</ul>

<p><strong>Requirements:</strong></p>

<ul>

<li>Proficient with SQL &amp; Python</li>

<li>Proficient in a data visualisation software (Tableau/Looker/PowerBI/e.t.c.)</li>

<li>Experience using a variety of machine learning algorithms</li>

<li>Able to communicate effectively; using data to tell a story and drive business change</li>

<li>Experience within Google Cloud preferential</li>

</ul><div class="content-conclusion"><p><strong>THG Ingenuity is proud to be a Disability Confident Committed employer. If you are invited to interview, please let us know if there are any reasonable adjustments we can make to the recruitment process that will enable you to perform to the best of your ability.</strong></p>

<p><strong>THG Ingenuity is committed to creating a diverse &amp; inclusive environment and hence welcomes applications from all sections of the community.</strong></p>

<p><strong>Because of the high volumes of applications our opportunities attract, it sometimes takes us time to review and consider them all. We endeavour to respond to every application we receive within 14 days. If you haven't heard from us within that time frame or should you have any specific questions about this or other applications for positions at THG Ingenuity please contact one of our <span class="mark75xs2u5gf" data-markjs="true" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="">Talent</span> team to discuss further.</strong></p>

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