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Data Scientist

Maidenhead
1 month ago
Applications closed

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I am looking for a Data Engineer / Data Scientist for a company in the Maidenhead area.

Work is Hybrid – 3 days onsite, 2 days remote. You will be leveraging your analytical skills and programming experience to extract insights from complex datasets, develop predictive models and support decision making.

KEY RESPONSIBILITIES

Data Analysis & Modelling:

-Analyse large, complex datasets to identify trends, patterns, and actionable insights.

-Develop, implement, and optimize machine learning models to solve business problems.

-Conduct A/B testing and experimental analysis to validate hypotheses.

Data Management & Engineering:

-Collaborate with data engineering teams to ensure data quality, accessibility, and efficiency.

-Design and develop ETL pipelines and workflows for data preprocessing.

-Develop automated tests to validate the processes and models you create.

Collaboration & Communication:

-Collaborate with stakeholders to define project goals, requirements, and deliverables.

-Actively participate in design meetings to help shape the solutions that the team delivers

-Present findings and recommendations to technical and non-technical audiences.

-Acquire domain knowledge to inform modelling opportunities and model feature creation

Technical Leadership:

-Mentor junior data scientists and provide peer reviews for modelling projects.

-Stay current with industry trends, tools, and best practices to continuously improve the team's capabilities.

QUALIFICATIONS

Education:

-Bachelor’s degree in data science, Statistics, Mathematics, or a related field.

Experience:

-2 or more years of experience in a data science or analytics role.

-Proven experience in building machine learning models, statistical analysis, and predictive analytics.

-Experience designing experiments or modelling approaches to solve a specified business problem.

PREFERRED QUALIFICATIONS

-Proficiency in programming languages such as Python or R; knowledge of is R an advantage.

-Experience with SQL and working knowledge of relational databases.

-Proficiency with data visualisation tools and techniques.

-Experience with AWS is a plus.

-Strong problem-solving and critical-thinking abilities.

-Excellent communication and presentation skills.

-Ability to manage multiple projects and prioritize tasks effectively

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