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Data Scientist

XCM
London
2 days ago
Applications closed

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Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Full remote (based in the UK)

£30-33,000 depending on experience

Benefits package.


Primary Purpose


  • Development of XCM’s machine learning solutions
  • Delivery of client machine learning models.
  • Delivery of associated documentation and content on each project.
  • Communicating findings to internal and external stakeholders
  • Enhancing the client’s ROI with XCM through data driven solutions tailored to their specific business requirements.
  • Supporting BAU and planned analytics on client roadmaps when needed.
  • Supporting XCM’s analysts in statistical techniques.


Key Responsibilities


  • Working closely with the lead Data Scientist and Director of Analytics to develop a suite of machine learning solutions.
  • Involvement in the design, creation, productionising, testing, and maintenance of machine learning solutions.
  • Developing data models to serve the needs of each client by analysing and predicting customer interactions; including but not limited to, customer sales and their purchasing behaviour, web traffic and user behaviour, email performance, and social media trends.
  • Creation of technical and user documentation, marketing and other content associated with each project.
  • Produce recommendations on how to develop the XCM data modelling roadmap.
  • Confidently present analytics and recommendations both to colleagues and clients.
  • Execute larger, complex statistical projects to produce strategic actionable recommendations.
  • Lead the necessary actions off the back of analytical recommendations with other members of the analytic, campaign and client management team as required.
  • Respond to ad-hoc data requests as required.
  • Provide commitment to leadership and continuous improvement.
  • Delivery of your agreed objectives.
  • Management of your personal development programme.
  • Delivery of agreed standards & discipline.
  • Management of your quarterly appraisal process & documentation.



Experience & Qualities


  • Degree level qualification or equivalent in a mathematical or computing discipline.
  • 2+ years’ experience writing production level python code
  • Highly proficient with numpy, pandas, sklearn
  • Strong understanding of machine learning algorithms and workflow
  • Experience scoping and developing machine learning projects such as recommender systems
  • Experience with containerised deployment (docker)
  • Strong understanding of CI/CD processes and version control
  • Proficient in SQL analysis.
  • Fully literate in Microsoft Office package.



Attributes


  • Able to think abstractly and develop novel solutions to problems.
  • Able to quickly learn new programming languages, mathematical concepts, and software.
  • A desire to find the best solution to a challenge through collaborative working.
  • Genuinely interested in data science / machine learning / AI.
  • Strong communication skills.
  • Ability to explain and present modelling concepts to non-technical personnel.
  • Curious, proactive, organised, and methodical, with an attention to detail.
  • Ambitious, enthusiastic, self-motivated, and the confidence to lead projects.

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