Data Scientist

Data Scientist

Full remote (based in the UK)

£30,000 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.