Exciting Technical Data Analyst/Data Science Contract!

Location: London (2-3 Days per Week in Office)

Day Rate: £600-£700 (Inside IR35)

Contract Duration: 3 Months

Are you an experienced Data Scientist with a strong focus on propensity modelling and A/B testing? Do you thrive in a fast-paced, data-driven environment and want to help drive commercial impact through data insights? This is your chance to make a real difference!

About the Role:

You will play a key role in ensuring that the Next Best Action (NBA) customer contact strategy is measurable and translates into business impact. Your expertise in propensity modelling, A/B testing, and analytics will help influence decision-makers, optimise marketing strategies, and improve machine learning systems. You'll work closely with stakeholders to unlock the true value of data and communicate complex findings in an engaging, non-technical way.

Key Responsibilities:

• Propensity Modelling & A/B Testing: Lead efforts to build and optimise propensity models to predict customer behaviour and run A/B tests to validate outcomes.

• Performance Measurement: Ensure the NBA customer strategy is measurable and tracks key performance indicators (KPIs) to drive business results.

• Data Analysis & Insights: Continuously identify opportunities for improvement by analysing data and performance metrics to optimise business strategies.

• Collaboration & Education: Work closely with stakeholders to drive adoption of data-driven decisions and educate teams on the value of machine learning.

• Storytelling & Reporting: Present data insights through engaging visualisations and simple narratives that influence business change.

Key Skills & Experience:

• Propensity Modelling: Deep experience building and optimising propensity models to predict customer actions.

• A/B Testing: Extensive experience in A/B testing, statistical significance, and hypothesis testing to validate model performance and business impact.

• Technical Proficiency: Strong knowledge of Python, R, SQL, and data manipulation techniques.

• Digital Ecosystem: Familiarity with the interconnectivity of digital channels such as Search, Content, Websites, CRM, and other platforms.

• Commercial Acumen: Understanding how data and machine learning outcomes impact commercial objectives.

• Analytical Mindset: Strong problem-solving skills, critical thinking, and a customer-centric approach.

• Communication: Excellent ability to present technical findings in a clear and engaging way for non-technical stakeholders.

• Agile Experience: Comfortable working in an Agile environment and collaborating with cross-functional teams.

Why Apply:

• Impactful Work: Influence key marketing strategies and drive data-driven decisions that impact business growth.

• Innovation: Work on cutting-edge analytics and machine learning models in a fast-paced, dynamic environment.

• Collaborative Culture: Be part of a supportive, agile team where you can contribute and grow.

• Flexibility: Hybrid working with 2-3 days in the office, and a competitive day rate.

Important: This is a hands-on, technical role focused on ML, propensity modelling and A/B testing. Please apply only if you have relevant experience in these areas.

To Apply: Contact James Lipscombe at or click apply.