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- Tasks: Analyze complex datasets, develop machine learning models, and collaborate with teams to drive insights.
- Company: Join a dynamic company in Maidenhead that values innovation and data-driven decision making.
- Benefits: Enjoy a hybrid work model with 3 days onsite and 2 days remote, plus opportunities for growth.
- Why this job: Be part of a collaborative culture where your analytical skills can make a real impact.
- Qualifications: Bachelor’s degree in a related field and 2+ years of experience in data science or analytics required.
- Other info: Mentorship opportunities available for junior data scientists; interviews can be arranged quickly.
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, 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
Data Engineer employer: WHD
Contact Detail:
WHD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Make sure to showcase your experience with machine learning models and data analysis during the interview. Be prepared to discuss specific projects where you've successfully implemented these skills, as this will demonstrate your hands-on experience.
✨Tip Number 2
Familiarize yourself with the latest trends in data engineering and analytics. Being able to discuss current tools and methodologies will show that you are proactive and committed to staying updated in the field.
✨Tip Number 3
Practice explaining complex data concepts in simple terms. Since you'll be presenting findings to both technical and non-technical audiences, being able to communicate effectively is crucial.
✨Tip Number 4
If you have experience with AWS or data visualization tools, be sure to highlight this during your discussions. These skills are preferred qualifications and can set you apart from other candidates.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure to customize your CV to highlight relevant experience in data analysis, machine learning, and programming. Emphasize your proficiency in Python or R, SQL, and any experience with AWS.
Craft a Strong Cover Letter: Write a cover letter that showcases your analytical skills and experience in building predictive models. Mention specific projects where you have successfully analyzed complex datasets and collaborated with stakeholders.
Highlight Technical Skills: In your application, clearly list your technical skills, including data visualization tools and techniques. Provide examples of how you've used these skills in previous roles to solve business problems.
Showcase Communication Abilities: Since the role requires presenting findings to both technical and non-technical audiences, include examples in your application that demonstrate your communication and presentation skills.
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 Proficiency
Make sure to talk about your experience with programming languages like Python or R, as well as your familiarity with SQL and data visualization tools. Be ready to explain how you've used these skills in previous projects.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities. Think of scenarios where you've had to design experiments or develop machine learning models to address business challenges, and be ready to walk through your thought process.
✨Communicate Clearly and Effectively
Since you'll need to present findings to both technical and non-technical audiences, practice explaining complex concepts in simple terms. Good communication can set you apart from other candidates.
