Junior Data Scientist

xcm United Kingdom
Remote
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Develop machine learning solutions, deliver client models, and enhance ROI. Work at XCM developing data models and presenting analytics. Require experience with Python, numpy, pandas, and sklearn.

Key Highlights
Develop machine learning solutions
Deliver client models and documentation
Enhance ROI and support analytics
Key Responsibilities
Develop machine learning solutions for XCM
Deliver client models and documentation
Enhance ROI and support analytics
Support XCM's analysts in statistical techniques
Present analytics and recommendations to colleagues and clients
Technical Skills Required
Python NumPy Pandas scikit-learn Git/SVN Microsoft Office
Benefits & Perks
Salary £28,000 - £30,000 per annum
Remote work
Benefits package
Nice to Have
Experience with containerised deployment (docker/kubernetes)
Strong understanding of CI/CD processes and version control
Proficient in SQL analysis

Job Description


Junior Data Scientist

Full remote (based in the UK)

£28-30,000 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.

·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 high quality python code

·Proficient with numpy, pandas, sklearn

·Strong understanding of machine learning algorithms and workflow

·Experience scoping and developing machine learning projects such as recommender systems

·Fully literate in Microsoft Office package.


Preferred Skills

·Experience with containerised deployment (docker/kubernetes)

·Strong understanding of CI/CD processes and version control

·Proficient in SQL analysis.

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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