Adria Solutions
Manchester, Lancashire
Paid Media Manager - Manchester My client is looking for an experienced Paid Media Manager to join their growing digital team. Working closely with the Head of Digital Marketing, you'll take ownership of planning, managing, developing, and optimising a wide range of paid media campaigns across multiple digital channels. This is a hands-on role and a key contributor to our clients customer acquisition and growth strategy, driving performance through data-led decision-making and continuous optimisation. Who We're Looking For The ideal candidate will: Have a strong understanding of paid search, display, and paid social, including platforms such as: Google Ads (Search & Display), Google Display Network, Meta Ads Manager, Microsoft Advertising, YouTube Ads, TikTok Ads, and programmatic DSPs Be confident building and managing consumer-focused campaigns from scratch, with a clear focus on KPIs, ROI, and commercial outcomes Use tools such as Google Ads Editor, SA360, Meta Events Manager, Google Tag Manager, and Looker Studio to optimise and report on performance Work collaboratively with the Head of Digital Marketing and wider internal teams to maximise campaign efficiency Adopt a test-and-learn mindset, continuously identifying new opportunities across Display, Video, Paid Social, Retargeting, and Remarketing Partner with the design team to produce effective, compliant creative assets for display, video, and social formats Test creative, targeting, and landing pages to deliver best-in-class results Provide regular performance updates and insights to key stakeholders Own and maintain all weekly, monthly, and quarterly reporting Key Skills & Experience Minimum 3 years' experience managing paid media campaigns across Google Ads, GDN, Meta Ads, Microsoft Ads, YouTube, TikTok Ads, and programmatic DSPs Strong numeracy and literacy skills Proven ability to plan, execute, and optimise paid media activity using tools such as Google Analytics, Google Tag Manager, Looker Studio, and attribution platforms Ability to produce accurate, commercially focused MI aligned to business KPIs Hands-on experience with campaign automation, including rules-based optimisation, scripts, and audience automation Exceptional attention to detail and accuracy Up-to-date knowledge of digital marketing trends, platform changes, and emerging paid media technologies High levels of enthusiasm, curiosity, and a genuine desire to learn and grow Benefits Package Hapi benefits programme (discounts at supermarkets, cinemas, and major retailers) Free parking Employee Assistance Programme Interested? Please Click Apply Now! Paid Media Manager - Manchester
Paid Media Manager - Manchester My client is looking for an experienced Paid Media Manager to join their growing digital team. Working closely with the Head of Digital Marketing, you'll take ownership of planning, managing, developing, and optimising a wide range of paid media campaigns across multiple digital channels. This is a hands-on role and a key contributor to our clients customer acquisition and growth strategy, driving performance through data-led decision-making and continuous optimisation. Who We're Looking For The ideal candidate will: Have a strong understanding of paid search, display, and paid social, including platforms such as: Google Ads (Search & Display), Google Display Network, Meta Ads Manager, Microsoft Advertising, YouTube Ads, TikTok Ads, and programmatic DSPs Be confident building and managing consumer-focused campaigns from scratch, with a clear focus on KPIs, ROI, and commercial outcomes Use tools such as Google Ads Editor, SA360, Meta Events Manager, Google Tag Manager, and Looker Studio to optimise and report on performance Work collaboratively with the Head of Digital Marketing and wider internal teams to maximise campaign efficiency Adopt a test-and-learn mindset, continuously identifying new opportunities across Display, Video, Paid Social, Retargeting, and Remarketing Partner with the design team to produce effective, compliant creative assets for display, video, and social formats Test creative, targeting, and landing pages to deliver best-in-class results Provide regular performance updates and insights to key stakeholders Own and maintain all weekly, monthly, and quarterly reporting Key Skills & Experience Minimum 3 years' experience managing paid media campaigns across Google Ads, GDN, Meta Ads, Microsoft Ads, YouTube, TikTok Ads, and programmatic DSPs Strong numeracy and literacy skills Proven ability to plan, execute, and optimise paid media activity using tools such as Google Analytics, Google Tag Manager, Looker Studio, and attribution platforms Ability to produce accurate, commercially focused MI aligned to business KPIs Hands-on experience with campaign automation, including rules-based optimisation, scripts, and audience automation Exceptional attention to detail and accuracy Up-to-date knowledge of digital marketing trends, platform changes, and emerging paid media technologies High levels of enthusiasm, curiosity, and a genuine desire to learn and grow Benefits Package Hapi benefits programme (discounts at supermarkets, cinemas, and major retailers) Free parking Employee Assistance Programme Interested? Please Click Apply Now! Paid Media Manager - Manchester
Adria Solutions
Manchester, Lancashire
Lead Data Scientist My client is a fast-growing UK FinTech business serving thousands of customers. They are investing heavily in their data capability and are now looking to appoint a Lead Data Scientist to drive end-to-end machine learning delivery within a regulated financial environment. This is a hands-on leadership role combining technical ownership, team development, and production-grade model deployment. The Role As Lead Data Scientist, you will: Lead and develop a growing Data Science team, setting standards and delivery cadence Own end-to-end ML solutions - from problem framing and feature engineering to deployment, monitoring, and governance Translate business objectives into modelling strategies aligned to risk appetite and operational constraints Build and deploy models using Python, SQL, and AWS (SageMaker or equivalent) Partner closely with Engineering, Data, and Risk/Financial Crime teams to ensure robust, production-ready solutions Establish monitoring frameworks for performance, drift, and retraining Drive clear documentation, traceability, and governance appropriate for a regulated environment This role requires someone who thinks beyond experimentation - focusing on operational impact, adoption, and long-term model performance. Essential Experience Proven commercial ML/Data Science delivery with measurable impact Experience taking models into production and managing performance over time Prior experience leading or mentoring Data Scientists Strong Python (pandas, numpy, scikit-learn or similar) Strong SQL (complex joins, aggregations, analytical functions) Solid grounding in applied statistics, evaluation design, calibration, bias/fairness Experience working closely with Engineering/Data teams in production-first environments Comfortable operating within regulated industries Desirable AWS experience (S3, Athena/Glue, IAM, Lambda) SageMaker or equivalent ML platform experience Financial services domain knowledge (risk, fraud, affordability, payments) Experience with model explainability and governance documentation Package & Benefits Hybrid working model Competitive pension Additional paid leave (birthday, charity, wellbeing, life events) Employee assistance programme & Virtual GP Modern collaborative office environment Interested? Please Click Apply Now! Lead Data Scientist
Lead Data Scientist My client is a fast-growing UK FinTech business serving thousands of customers. They are investing heavily in their data capability and are now looking to appoint a Lead Data Scientist to drive end-to-end machine learning delivery within a regulated financial environment. This is a hands-on leadership role combining technical ownership, team development, and production-grade model deployment. The Role As Lead Data Scientist, you will: Lead and develop a growing Data Science team, setting standards and delivery cadence Own end-to-end ML solutions - from problem framing and feature engineering to deployment, monitoring, and governance Translate business objectives into modelling strategies aligned to risk appetite and operational constraints Build and deploy models using Python, SQL, and AWS (SageMaker or equivalent) Partner closely with Engineering, Data, and Risk/Financial Crime teams to ensure robust, production-ready solutions Establish monitoring frameworks for performance, drift, and retraining Drive clear documentation, traceability, and governance appropriate for a regulated environment This role requires someone who thinks beyond experimentation - focusing on operational impact, adoption, and long-term model performance. Essential Experience Proven commercial ML/Data Science delivery with measurable impact Experience taking models into production and managing performance over time Prior experience leading or mentoring Data Scientists Strong Python (pandas, numpy, scikit-learn or similar) Strong SQL (complex joins, aggregations, analytical functions) Solid grounding in applied statistics, evaluation design, calibration, bias/fairness Experience working closely with Engineering/Data teams in production-first environments Comfortable operating within regulated industries Desirable AWS experience (S3, Athena/Glue, IAM, Lambda) SageMaker or equivalent ML platform experience Financial services domain knowledge (risk, fraud, affordability, payments) Experience with model explainability and governance documentation Package & Benefits Hybrid working model Competitive pension Additional paid leave (birthday, charity, wellbeing, life events) Employee assistance programme & Virtual GP Modern collaborative office environment Interested? Please Click Apply Now! Lead Data Scientist
