Customer-Facing Data Scientist

London or Edinburgh (with UK travel)

An industry that’s stuck in its ways. We only work with people as ambitious and driven as we are. At Mudano there’s no time to kick back, stick your feet up and look out of the window. We’re on a mission to transform an entire industry. It’s a big challenge. But what doesn’t challenge you, doesn’t change you. People with this drive and fire are our life blood. They aspire to do and be more. That’s why our acceptance rate is even tougher than Harvard. We only want the best, and people who believe in values that will realise a vision.

Our people. Our practitioners. Focused on project efficiency and business value delivery. Passionate about removing bias and guesswork and replacing it with informed, objective decision-making

We are looking for hands-on authentic and committed Data Scientists to support a range of different clients on all aspects of data science – from cradle through to grave. We work mainly, but not exclusively, in the Financial Services sector and our clients call on us to deliver the most challenging assignments going.

Job description and duties:

  • Using Data Science to solve a range of business problems such as financial crime detection, customer retention, improve product take-up rates and portfolio optimisation
  • Coding primarily in Python, but also in associated languages such as R, SQL and Hadoop/Hive, working with both structured and unstructured data sets
  • Often, our hands-on Data Scientists work as part of a multi-disciplinary, agile, team that also includes Business Analysts, Data Engineers and Data Visualisation SMEs
  • From time to time, you may also be transitioned away from full-time customer-facing work into an internally-facing role

Key skills and experience:

  • Minimum 3 years’ commercial hands-on Data Science experience
  • Broad understanding and experience of ML/AI principles (key assumptions and benefits of ML/AI; algorithm types; experiment design; limitations etc)
  • Confident Python ML software coding skills
  • Demonstrable hands-on experience with ML libraries (such as scikit-learn and/or TensorFlow)
  • Fluent communicator in both written and spoken English, with an engaging personality and a professional and approachable style
  • Strong client-handling skills, able to deal maturely with client requests and challenges
  • A Master’s degree in maths, physics, computer science or other highly numerate discipline from a leading university or a PhD in a highly numerate discipline from a leading university
  • Experience in ML applications such as: Deep Learning, NLP, Information retrieval, Text mining, Bayesian models, Graph theory, Recommendation engines

Benefits and compensation:

  • Salary between 50K – 80K depending on skills and experience
  • 25 days annual leave (plus 8 bank holidays)
  • Comprehensive benefit package including private medical, wellbeing cover, discounted gym membership, and life insurance
  • Pension scheme with 3% employer contribution
  • Individual training budget and career mentoring
  • 1% club – small benefits that make a big difference (i.e. monthly audible/book allowance, UBER for business)
  • Thursday socials
  • Unlimited tea/coffee and fruit
  • Discounted gym membership
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