Senior Data Scientist 113 views0 applications



About this job

Job type: Permanent
Experience level: Senior
Industry: Agile Software Development, Cloud-Based Solutions, Computer Software
Company size: 501-1k people
Company type: Private

Job description


Design and development of models from analytics built on customers’ user behaviour data FinancialForce and 3rd party data to deliver the highest possible quality functionality that will enable our customers to be successful. Ranging a focus on delivery of general users’ analytics to high-end analytics and modelling responsibility across broader functions of our products.

Using a range of Analytical & Data Modelling, and Data Science techniques, including supervised and unsupervised machine learning, clustering, decision trees, predictive analytics, naive bayes, markov chain, survival analysis, neural net, deep learning and AI using tools such as SAS, SPSS, R, Python, Weka and KNIME, and be able to deploy models in a statistically robust way to measure impact.

Will be able to visualise Analytics and Modelling in a way which enables broad user understanding.


  • Provides Analytics & Modelling strategy to a variety of Product stakeholders internally, and externally Influencers and Investors.
  • Supports stakeholders with the provision of data products, and can confidently talk through their data products and the potential opportunities which their research & analytics has demonstrated.
  • Conduct deep, and complex data analysis, and use to drive delivery of data rich highly-usable  products which demonstrate findings to stakeholders.
  • Put across reasoned arguments for where there is an opportunity for value add, and ROI.
  • Spot potential opportunities in the market and advise their management team of the impact of these.
  • Provides suggested methodologies, research techniques and data science proposals, whilst supporting less experienced members of the team through their Analytics responsibilities.
  • Provides in depth quantitative and qualitative data which can be productised, providing evidence which is needed to form strategy and support strategic decisions.


  • Extensive and deep understanding of Analytics and Modelling with a Bachelor’s degree (or equivalent)  or lesser experience and a Master’s degree (or equivalent); or a directly relevant PhD (or equivalent)  without experience..
  • Expert competency with enterprise Analytics and modelling software tooling and methodologies eg SAS, SPSS, R, Python, Weka and KNIME
  • Strong knowledge and applied expertise of best-practices.
  • Experience of running multiple, large programmes of work from inception to completion
  • Proven track record of influencing and inspiring cross-functional peers and senior leaders by generating and implementing new ideas

In Scrum Master role

  • Is a Certified Scrum master
  • Has experience of working in an Agile Scrum environment


  • Experience of coordinating and leading other colleagues.
  • Courseware in management, project management, agile, communication and personal effectiveness.
  • Agile experience
  • Salesforce experience
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FinancialForce is the leading cloud ERP for the new services economy. The #1 ERP native to the Salesforce platform, FinancialForce unifies data across the enterprise in real-time, enabling companies to rapidly evolve their business models with customers at the center. Founded in 2009 and headquartered in San Francisco, FinancialForce is backed by Salesforce Ventures, Technology Crossover Ventures, Advent International, and UNIT4.


  • FinancialForce Appoints Tod Nielsen as CEO and President: Former EVP of Salesforce Platform
  • Recorded more than a 40% growth rate in 2016, and is rapidly approaching the $100M annual revenue rate milestone
  • FinancialForce outranks competition and emerges as Professional Services Automation (PSA) market leader in latest G2 Crowd Grid℠ for PSA
  • FinancialForce achieves $100M run rate
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