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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing data science and machine learning projects, utilizing Python and SQL for data exploration and model development, while effectively communicating complex concepts to clients and stakeholders. Proven ability to produce insights through visualizations and metrics, and experience in applying machine learning models in production environments.
Highest-signal resume keywords
Python ProgrammingMachine LearningSQL ProficiencyClient Services SkillsStatistical Knowledge
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningData ExplorationModel EstimationData VisualizationStatistical AnalysisCode ReviewAlgorithm DevelopmentData AnalysisCloud Environment DeploymentMarketing Optimization Techniques
Soft Skills
Communication SkillsTime ManagementOrganizational AbilitiesClient ManagementAutonomy
Tools & Technologies
AI ToolsClaude CodeML LibrariesWeb Analytics ToolsDigital Marketing Tools
Certifications & Qualifications
Master's DegreePhDQuantitative Advanced Degree
Industry Keywords
Data ScienceMachine LearningMarketing Effectiveness MeasurementMarketing AnalyticsDigital Marketing
Tech Stack
Tools & technologiesCloudPythonSQL
About the role
Key responsibilities & impact- Manage data science and machine learning projects so technical goals are met within agreed timeframes
- Communicate clearly with clients and help team members understand the work and rationale
- Produce explanatory insights for non-technical users using visualizations, metrics, and tabulations
- Interface with clients to obtain required data inputs and explain how to apply services
- Explore and model large datasets using Python, SQL, and related tools
- Leverage AI tools including Claude Code to develop and enhance Croud solutions
- Lead data exploration, model estimation, and validation tasks
- Write clean, efficient, robust, and well-commented code
- Discuss data science topics with technical and commercial teams
- Work with data engineers to scale algorithmic work
- Communicate Croud Analytics methodologies to clients and internal stakeholders
- Spend approximately 20% of time on innovation supporting product development and agentic AI goals in analytics, measurement, forecasting, and activation
- Work with clients, data scientists, engineers, partner agencies, and internal cross-departmental service teams
Requirements
What you’ll need- Master's degree or PhD, or relevant experience in a field emphasizing quantitative disciplines, with coursework in machine learning; alternatively, a quantitative advanced degree complemented by extensive training in data science/ML
- Proven experience in applied machine learning through a prior full-time role
- Knowledge and experience of Python, associated ML libraries, and SQL
- Experience using LLMs to help systematically write and review safe and stable code
- Strong statistical knowledge
- Ability to communicate data analysis and modeling results
- High proficiency in English writing and speaking
- Strong client services skills and ability to explain complex concepts to clients and manage expectations
- Strong time management and organizational abilities; able to prioritize effectively and work autonomously
- Experience putting machine learning models into production in a cloud environment is desirable
- Knowledge of marketing effectiveness measurement and marketing optimisation techniques is desirable
- Experience in web analytics, marketing analytics, and digital marketing is desirable
- Experience working with senior stakeholders in an analytics context is desirable
Benefits
Comp & perks- Hybrid working model with a minimum of 3 days a week in the London office and remaining days from home
- Clear path to progression
- Development opportunities and regular performance reviews
- Paid sabbatical at 7 years, with an option to take it unpaid at 5 years
- 25 days holiday a year
- Discretionary annual performance based incentive
- Sale commission
- Recruitment referrals bonus
- Health & Wellbeing contribution
- 2 Recharge Days each holiday year
- Ride to Work scheme
- Railcard Season Ticket loan
- Home office screen
- Free fruit, breakfast cereals, snacks, and tea & coffee
- Complimentary lunch every week
- Enhanced Primary and Secondary family leave, extended Parental Leave and Shared Family Leave
- Life insurance and income protection
- Medical Cash Plan
- Pension
- Curated 3rd party learning platform and access to Croud Campus
- Peer to peer recognition scheme 'bonusly'
- Team off-sites and regular socials
- Year-round holiday parties
- Flexible working options
- Day to make a difference
- Flexibility in standard 9:00am–5:30pm hours when agreed in advance