Data Scientist

ZipRecruiter; Maidenhead; Hybrid; GBP 40,000 - 80,000; Full time

Job description

Job Description

Data Scientist - Maidenhead (Hybrid) - Permanent

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

1. Data Analysis & Modelling: Analyse large, complex datasets to identify trends, patterns, and actionable insights.
2. Develop, implement, and optimize machine learning models to solve business problems.
3. Conduct A/B testing and experimental analysis to validate hypotheses.

Data Management & Engineering:

1. Collaborate with data engineering teams to ensure data quality, accessibility, and efficiency.
2. Design and develop ETL pipelines and workflows for data preprocessing.
3. Develop automated tests to validate the processes and models you create.

Collaboration & Communication:

1. Collaborate with stakeholders to define project goals, requirements, and deliverables.
2. Actively participate in design meetings to help shape the solutions that the team delivers.
3. Present findings and recommendations to technical and non-technical audiences.
4. Acquire domain knowledge to inform modelling opportunities and model feature creation.

Technical Leadership:

1. Mentor junior data scientists and provide peer reviews for modelling projects.
2. Stay current with industry trends, tools, and best practices to continuously improve the team's capabilities.

QUALIFICATIONS

Education:

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

Experience:

1. 2 or more years of experience in a data science or analytics role.
2. Proven experience in building machine learning models, statistical analysis, and predictive analytics.
3. Experience designing experiments or modelling approaches to solve a specified business problem.

Skills:

1. Proficiency in programming such as Python or R; knowledge of R is an advantage.
2. Experience with SQL and working knowledge of relational databases.
3. Proficiency with data visualisation tools and techniques.
4. Experience with AWS is a plus.
5. Strong problem-solving and critical-thinking abilities.
6. Excellent communication and presentation skills.
7. Ability to manage multiple projects and prioritize tasks effectively.

If this exciting opportunity could be of interest - please let me know ASAP. Interviews can be arranged at short notice.