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- Tasks: Analyze complex datasets, develop predictive models, and support decision-making.
- Company: Join a dynamic company in Maidenhead with a focus on data-driven solutions.
- Benefits: Enjoy a hybrid work model with 3 days onsite and 2 days remote.
- Why this job: Make an impact by leveraging your analytical skills in a collaborative environment.
- Qualifications: Experience in data analysis, machine learning, and programming is essential.
- Other info: Opportunity to mentor junior data scientists and stay updated with industry trends.
The predicted salary is between 36000 - 60000 £ per year.
Data Engineer 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,…
Data Engineers employer: WHD
Contact Detail:
WHD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineers
✨Tip Number 1
Familiarize yourself with the specific tools and technologies mentioned in the job description. If they mention certain programming languages or data analysis frameworks, make sure you can speak to your experience with them during the interview.
✨Tip Number 2
Prepare examples of past projects where you've successfully analyzed complex datasets or developed machine learning models. Being able to discuss these experiences will demonstrate your practical skills and problem-solving abilities.
✨Tip Number 3
Show your collaborative spirit by thinking about how you can work with different teams. Be ready to discuss how you've previously collaborated with stakeholders or mentored others, as this role emphasizes teamwork and communication.
✨Tip Number 4
Stay updated on the latest trends in data engineering and machine learning. Mentioning recent developments or techniques during your conversation can showcase your passion for the field and your commitment to continuous learning.
We think you need these skills to ace Data Engineers
Some tips for your application 🫡
Highlight Relevant Skills: Make sure to emphasize your analytical skills and programming experience in your application. Mention specific programming languages and tools you are proficient in, especially those relevant to data analysis and machine learning.
Showcase Your Experience: Include examples of past projects where you analyzed complex datasets or developed predictive models. Be specific about the methodologies you used and the impact your work had on decision-making.
Tailor Your Application: Customize your CV and cover letter to align with the job description. Use keywords from the job listing, such as 'ETL pipelines', 'A/B testing', and 'collaboration', to demonstrate that you understand the role and its requirements.
Prepare for Communication: Since the role involves presenting findings to both technical and non-technical audiences, consider including a brief section in your application that outlines your communication skills and any relevant experiences in stakeholder engagement.
How to prepare for a job interview at WHD
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've analyzed large datasets in the past. Highlight any trends or insights you discovered and how they impacted decision-making.
✨Demonstrate Your Technical Expertise
Familiarize yourself with the programming languages and tools mentioned in the job description. Be ready to explain your experience with machine learning models, ETL processes, and data validation techniques.
✨Prepare for Collaboration Questions
Since collaboration is key, think of instances where you've worked with stakeholders or cross-functional teams. Be ready to discuss how you defined project goals and communicated findings to both technical and non-technical audiences.
✨Emphasize Your Mentorship Experience
If you have experience mentoring junior team members, be sure to mention it. Discuss how you've contributed to their development and how you approach peer reviews in modeling projects.
