FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading data science initiatives, including the design and deployment of machine learning solutions, while fostering a culture of continuous improvement and collaboration. Proficient in translating complex analytics into actionable insights for stakeholders, with a strong commitment to ethical data governance.
Highest-signal resume keywords
Data Science Roadmap OwnershipMachine Learning Solution DesignAdvanced Proficiency In PythonExperience With Econometric ModellingStrong Data Science Modelling Expertise
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 LearningPredictive AnalyticsPrescriptive AnalyticsTime-Series ForecastingSimulationOptimisationEconometric ModellingRegression AnalysisBayesian ApproachesData Science Modelling
Soft Skills
Excellent CommunicationAbility To Influence StakeholdersCuriosityOwnershipContinuous Improvement
Tools & Technologies
AzureDatabricksSparkMLOps PracticesAgent-Based AI Systems
Industry Keywords
Customer DevelopmentCPGRetailData GovernanceEthical Data Use
Tech Stack
Tools & technologiesAzurePythonSpark
About the role
Key responsibilities & impact- Own and evolve the data science roadmap for products across the Customer Development portfolio
- Lead the design, development, and deployment of diagnostic, predictive, and prescriptive analytics solutions
- Set modelling and analytical standards across classical statistics, machine learning, Generative AI, and Agentic AI
- Ensure solutions are production-ready and industrialised using Azure, Databricks, and strong MLOps practices
- Build a culture of ownership, curiosity, continuous improvement, and disciplined delivery
- Provide technical guidance, feedback, and mentorship to data scientists
- Partner with Product, Engineering, and Business stakeholders to define problems and prioritise opportunities
- Translate complex analytics into actionable insights for senior stakeholders
- Champion agile experimentation and iterative delivery
- Create reusable frameworks, scale successful solutions, and bring innovation into the global Customer Development product pipeline
Requirements
What you’ll need- A degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, Econometrics, or a related technical discipline
- Proven experience leading data science teams and delivering complex analytics initiatives in a commercial or product-focused environment
- Strong data science modelling expertise
- Experience with econometric modelling, including regression and Bayesian approaches, particularly for pricing and promotions in CPG/Retail
- Experience with time-series forecasting
- Experience with simulation and optimisation
- Experience designing and industrialising machine learning solutions at scale
- Exposure to agent-based AI systems is a strong advantage
- Advanced proficiency in Python, Spark, and modern analytics stacks
- Hands-on experience using Databricks and Azure
- Ability to lead the design and delivery of data science and AI solutions
- Excellent communication and ability to influence senior stakeholders through data science driven narratives
- Ability to prioritise effectively and focus teams on high-value work
- Comfort operating in a fast-paced, global, and ambiguous environment
- Commitment to ethical data use, governance, and responsible decision-making
Benefits
Comp & perks- Bonus eligible
- Long-Term Incentive (LTI) eligible
- Health insurance including prescription drug, dental, and vision coverage
- Retirement savings benefits
- Life insurance
- Disability benefits
- Parental leave
- Sick leave
- Paid vacation and holidays
- Numerous voluntary benefits
- Growth and development opportunities