Job Title: Data Scientist

Location: Shoreditch (Hybrid – 3 days per week onsite)

Duration: 12 months contract

Max. Budget: £60k - £80k per annum + paid holidays + pension or £350 - £420 per day Inside IR35

The Opportunity:

• We are looking for a seasoned and passionate Data Scientist (Individual Contributor) to drive the rapid growing UK Express business.
• This is a hybrid role of data science, data engineering. In this role, you will use your data science and data engineering skill to generate actionable data-driven recommendations to empower the UK Express business across full funnel of customer journey (acquisition, monetization, engagement and retention)
• You will partner with Go-To-Market leaders to understand their goals & challenges, identifying how best to use data and insight to support them. Part of the role to find solutions by building and leveraging strong working relationships with colleagues in the wider Client’s analytics & data science community, ensuring best practice and widespread adoption.
• The ideal candidate will be a ‘self-starter’ with outstanding quantitative analytical skill, superb business intuition, fantastic communication skill, and most importantly, the ability to use analytics to drive/influence business decision making!

What you'll Do:

• Apply expertise in quantitative analysis and data modelling to gain deep insights into customers behaviours/journey across surfaces, short and long-term trend, and present impactful recommendations to grow the business
• Acting as a thought partner to the GTM business leads, Sales, PM, PMM, and other partners and influence decisions through the storytelling of data-driven recommendations, analysis, and experiment results
• Identify the business opportunities, build the use cases, and recommend data science initiatives to unlock the business that will inform our data science plan and data driven product roadmap
• Using data science models to tackle critical business challenges and drive recurring, scalable, and programmatic business unlocks
• Leverage data engineering skills to create data structures suitable for empowering rapid analysis of user behaviour
• Recommend testing ideas based on the analysis ​

What you need to succeed:

• Bachelor’s degree or equivalent experience in quantitative fields, e.g., Computer Science, Math/Statistics, Economics, Physics, or equivalent practical experience. MBA or a master’s degree or equivalent experience is preferred.
• 5 years hands-on experience doing quantitative analysis in tech or management consulting
• Demonstrable experience using quantitative analysis/statistical modelling on data sets to tackle intricate business problems
• Phenomenal at telling stories with data and communicating it to partners at all levels to influence critical decision making
• Strong proficiency in querying and manipulating volumes of data sets for analytical purposes using SQL-like languages. Databricks environment familiarity would be desirable.
• Capable of designing and scripting analytical data structures in SQL / Python
• Statistical Modelling and data viz in Microsoft Excel or Power Pivot
• Experience building and training statistical/data science models
• Experience with statistics in SaaS or Subscription Business model environment, mobile analytics related experience preferred.
• Experience in Data Visualization tools, preferably, Tableau and Power BI