Freshminds

About the Company

Freshminds is the go-to firm in Europe for management and strategy consulting talent.

Our three divisions; Consultants on demand, Search, and Research Consultancy, bridge the gaps between business needs and required skills, knowledge and talent.

Consultants on demand is our curated network of senior operators, consultants, analysts and researchers, available on demand to transform your business.

Freshminds Search specialises in finding the very best strategic and operational talent for permanent roles, across consulting, business and finance.

Our in-house Research Consultancy creates bespoke methodologies to research and resolve your strategic business problems. By using our unrivalled expert network, our team can research and deliver exclusive insights not available in the public domain.

Freshminds is trusted by globally recognised companies, from fast-scaling start-ups to FTSE 100 firms and top-tier strategy consultancies. Powered by people, from analyst to expert, we're plugged in to a world of knowledge and experience.

Listed Jobs

Company Name

Freshminds

Job Title

AI Strategy Consultant

Job Description

**Job Title:** AI Strategy Consultant **Role Summary:** Provide strategic advice to a global communications agency on integrating AI and emerging technology to enhance internal operations and broaden service offerings. Deliver actionable roadmaps and influence senior leadership on transformational initiatives. **Expectations:** - Apply AI/tech expertise to identify high-impact opportunities across the organization. - Deliver clear, measurable improvement plans targeting efficiency and margin enhancement. - Demonstrate commercial acumen by linking technology initiatives to revenue growth. **Key Responsibilities:** 1. Conduct organizational assessment and map current processes for AI integration. 2. Develop a strategic road‑map outlining phased AI adoption, resources, and expected business outcomes. 3. Identify process redesign opportunities that leverage AI to improve operational efficiency and cost structure. 4. Prepare executive‑level presentations and briefings to secure stakeholder buy‑in. 5. Track implementation progress, validate results, and adjust strategy as needed. **Required Skills:** - 4+ years of consulting or technology strategy experience, preferably in a top‑tier firm. - Deep knowledge of AI technologies, data strategy, and digital transformation. - Strong analytical, problem‑solving, and commercial thinking. - Proven experience designing and implementing AI‑driven process improvements. - Executive presence, persuasive communication, and stakeholder management. **Required Education & Certifications:** - Bachelor’s degree in Business, Computer Science, Engineering, or related field. - Advanced certification in AI, data science, or consulting (e.g., Certified Management Consultant, AI Strategy Practitioner) desirable.

London, United kingdom

Hybrid

Junior

11-11-2025

Company Name

Freshminds

Job Title

Data Engineer - Retail and Luxury

Job Description

**Job Title**: Data Engineer - Retail and Luxury **Role Summary**: Lead developer responsible for building and maintaining scalable data pipelines and architectures to support marketing analytics and consumer insights. Ensure data quality, security, and governance. Collaborate with cross-functional teams including data scientists, analysts, and product teams. **Expectations**: - Experience with media ELT tools and marketing APIs - Familiarity with marketing datamarts and performance metrics - Cloud platform experience (AWS, GCP, Snowflake) **Key Responsibilities**: - Design, maintain scalable data pipelines and architectures - Ensure data quality, security, and governance across systems - Collaborate with data scientists, analysts, and product teams - Oversee data collection, transformation, and validation processes - Process and model data using Python, SQL, and Excel **Required Skills**: - Proficient in Python, SQL, Git, and DBT - Knowledge of marketing mix modeling (MMM)/marketing technology analytics (MTA) - Experience with deployment tools (Airflow, Docker) **Required Education & Certifications**: Not specified.

London, United kingdom

Hybrid

12-11-2025

Company Name

Freshminds

Job Title

Data Science Manager

Job Description

Job Title: Data Science Manager Role Summary: Lead the design, development, and deployment of machine learning solutions for CRM personalization, focusing on recommendation systems and predictive analytics to drive customer engagement across a global lifestyle brand. Expectations: - Deliver end‑to‑end machine learning pipelines that enhance CRM personalization. - Ensure models perform optimally, are scalable, and align with global marketing and CRM objectives. - Collaborate across functions—marketing, CRM, engineering, and data—to translate business needs into actionable insights and solutions. Key Responsibilities: - Define and implement machine learning strategies for recommendation engines using neural networks and deep learning. - Build and optimize two‑tower neural architectures, embedding techniques, and ranking models. - Partner with CRM and regional marketing teams to integrate models with campaign goals and segmentation strategies. - Coordinate with engineering and data teams to deploy, monitor, and retrain models in production; manage MLOps pipelines. - Analyze model performance, extract insights, and iterate to improve outcomes. - Communicate findings and progress to stakeholders across the organization. Required Skills: - Proven experience in machine learning with a focus on recommendation systems and deep learning. - Expertise in two‑tower neural networks, embedding techniques, and ranking algorithms. - Proficiency in Python and libraries such as pandas, numpy, scipy, scikit‑learn, TensorFlow, and PyTorch. - Experience with cloud platforms (GCP, AWS, Azure) and no‑code/low‑code MLOps tools like Dataiku. - Strong knowledge of MLOps practices: deployment, monitoring, and retraining workflows. - Effective cross‑functional collaboration and stakeholder management. - Excellent communication skills in English. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Data Science, Applied Mathematics, Statistics, or a related technical field. - Relevant certifications in machine learning, data science, or cloud technologies (e.g., GCP ML Engineer, AWS Certified Machine Learning) are preferred.

London, United kingdom

Hybrid

24-11-2025

Company Name

Freshminds

Job Title

Data Scientist

Job Description

Job Title: Data Scientist Role Summary: Lead development and maintenance of Marketing Mix Modelling (MMM) and Multi‑Touch Attribution (MTA) models to quantify channel impact, guide media investment, and improve marketing performance across markets. Expectations: • Deliver actionable insights and strategic recommendations to senior stakeholders. • Expand MMM roll‑outs in new countries while ensuring rigorous data quality and model validity. • Continuously innovate modelling techniques and stay current with emerging analytics methods. Key Responsibilities: - Build, refine, and validate MMM and MTA models for multi‑channel performance measurement. - Analyse large, heterogeneous marketing data sets to pinpoint ROI drivers and performance bottlenecks. - Deploy models to new geographies and monitor model stability over time. - Collaborate with marketing, analytics, data engineering, and business teams to secure accurate data pipelines. - Translate sophisticated statistical outputs into clear, actionable business insights. - Develop dashboards and visualisations that enable real‑time monitoring of marketing metrics. - Support media planning optimisation using MMM outputs. - Present findings through data stories to senior stakeholders. Required Skills: - Strong background in econometric and advanced analytics. - Proficient in Python and SQL; experience with MMM libraries (PyMC, Robyn, Meridian). - Solid understanding of digital and traditional marketing channels, metrics, and the retail/luxury sector. - Experience deploying analytics on cloud platforms (AWS, GCP, Snowflake). - Clear, concise communication of complex technical concepts to non‑technical audiences. - Ability to work cross‑functionally and drive projects to completion. - Knowledge of incrementality testing frameworks (e.g., GeoLift) is a plus. Required Education & Certifications: - Bachelor’s degree in statistics, mathematics, computer science, data science, or a related quantitative discipline (or equivalent professional experience). - No mandatory certifications; familiarity with analytics and data‑engineering tools is desirable.

London, United kingdom

On site

25-11-2025