As one of the world’s leading digital transformation service providers, we are looking to expand our Data Practice across Europe to meet increasing client demand for our Data Science and AI services. We are seeking a highly skilled and experiencedData Science Consultantto join our dynamic team.The ideal candidate will have a strong background in data science, analytics, IT consulting and experience in marketing-focused projects, preferably within a marketing agency or similar environment. As a Data Science Consultant, you will work closely with clients to understand their business challenges, design and implement data-driven solutions and provide actionable insights that drive business value. Your ability to bring expertise in marketing analytics and marketing-related data science use cases will be a critical asset.
Want more jobs like this?GetjobsinLondon, United Kingdomdelivered to your inbox every week.
Want more jobs like this?
GetjobsinLondon, United Kingdomdelivered to your inbox every week.
Get Jobs
#LI-DNIResponsibilitiesSupport clients with the definition and implementation of their AI strategy, with a particular focus on marketing and customer insightsImplement and oversee AI governance frameworks, focusing on regulatory compliance, ethical AI principles and ensuring business value from AI investmentsIdeate, design and implement AI-enabled marketing solutions such as customer segmentation models, recommendation systems and campaign optimization algorithmsLead the process of taking AI/ML models from development to production, ensuring robust MLOps practicesMonitor and manage model performance, including addressing issues related to explainability, data drift and model driftDevelop and implement marketing measurement frameworks, including marketing mix modeling (MMM) and multi-touch attribution (MTA)Collaborate with marketing teams to leverage data for customer journey mapping, lifetime value prediction and churn analysisEngage with senior executives, effectively communicating AI opportunities, risks and strategies in accessible terms, particularly in marketing and customer engagement contextsCollaborate with legal teams to navigate AI regulatory risks, particularly in the context of the EU AI regulatory frameworkMaintain up-to-date knowledge of industry trends, emerging technologies and regulatory changes impacting AI/ML, particularly in the marketing domainSupport pre-sales activities including client presentations, demos and RFP/RFI responsesRequirementsBachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Physics, Marketing Analytics or a related field. Ph.D. is a plus2+ years of experience in data science, analytics or related roles within the IT consulting, marketing agency or digital marketing spaceStrong communication skills, comfortable presenting to senior business leaders, particularly in marketing and customer engagement contextsDeep understanding of LLMs, their strengths and limitations and their application in marketing personalization, chatbots and content generationProven experience in marketing-focused data science projects, such as customer segmentation, campaign performance analytics and predictive modeling for marketing strategiesFamiliarity with AI/ML tools and platforms commonly used in marketing data science, such as Tableau, Power BI, Google Analytics, HubSpot or Salesforce Marketing CloudStrong understanding of ML Ops principles and experience in model deployment and management, particularly for marketing use casesAbility to articulate complex AI risks and strategies to non-technical stakeholders, including senior executives in marketing and salesExpertise in identifying and mitigating bias in AI/ML models, especially in consumer-facing applicationsProficiency in Python and familiarity with AI/ML tools and platforms such as Azure, AWS, GCP, Databricks, MLFlow, Airflow, Plotly Dash and StreamlitExperience with advertising platforms (e.g., Facebook Ads, Google Ads) and programmatic ad-buying strategies is a plusKnowledge of marketing metrics, customer lifetime value (CLV) and return on investment (ROI) modelingWe offerEPAM Employee Stock Purchase Plan (ESPP)Protection benefits including life assurance, income protection and critical illness coverPrivate medical insurance and dental careEmployee Assistance ProgramCompetitive group pension planCyclescheme, Techscheme and season ticket loansVarious perks such as free Wednesday lunch in-office, on-site massages and regular social eventsLearning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much moreIf otherwise eligible, participation in the discretionary annual bonus programIf otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program*All benefits and perks are subject to certain eligibility requirements
