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- Tasks: Analyse data, build models, and present insights to drive business decisions.
- Company: Join Solas IT Recruitment, a leader in tech talent solutions.
- Benefits: Enjoy hybrid work, competitive pay, and opportunities for growth.
- Why this job: Make a real impact with data while collaborating in an innovative environment.
- Qualifications: 2+ years in data science, strong skills in Python or R, and a relevant degree.
- Other info: Mid-senior level role with a focus on mentorship and continuous learning.
The predicted salary is between 36000 - 60000 £ per year.
This range is provided by Solas IT Recruitment. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Direct message the job poster from Solas IT Recruitment
Data Scientist – Maidenhead
Hybrid – 3 days a week in the office
Are you a data-driven thinker who enjoys solving real-world problems with machine learning and analytics? We\’re looking for a Data Scientist to join our growing team and help shape data-informed decisions across diverse projects and industries, you\’ll work closely with cross-functional teams, build predictive models, design experiments, and turn raw data into actionable insights. If you\’re passionate about making an impact through data and enjoy a mix of autonomy, collaboration, and innovation, send your CV via the link
What You’ll Do
- Analyse large, complex datasets to uncover patterns and trends
- Build and fine-tune machine learning models to solve business problems
- Conduct A/B testing and experimentation to support product and strategy decisions
- Collaborate with data engineers to ensure high data quality and accessibility
- Design ETL workflows and automate data preparation processes
- Write tests to ensure reliability of models and pipelines
- Work with stakeholders to define project goals and deliverables
- Present insights to both technical and non-technical audiences
- Participate in solution design and continuously build domain knowledge
Technical Mentorship
- Peer-review models and mentor junior data scientists
- Stay up to date with the latest tools, trends, and best practices in data science
What You’ll Bring
- 2+ years in a data science or analytics role
- Strong background in machine learning, predictive analytics, and experimentation
- Proficient in Python or R (bonus if you know both)
- Solid SQL skills and familiarity with relational databases
- Experience with data visualization tools and AWS is a plus
- Strong communication, problem-solving, and time management skills
- Bachelor’s degree in Data Science, Statistics, Mathematics, or a related field
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Information Technology
-
Industries
Software Development
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Data Scientist - Maidenhead employer: Solas IT Recruitment
Contact Detail:
Solas IT Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Maidenhead
✨Tip Number 1
Familiarise yourself with the latest machine learning techniques and tools. Being able to discuss recent advancements or projects you've worked on can really impress during interviews.
✨Tip Number 2
Network with current data scientists or professionals in the field. Engaging in conversations about their experiences can provide valuable insights and may even lead to referrals.
✨Tip Number 3
Prepare to showcase your problem-solving skills through real-world examples. Be ready to discuss specific challenges you've faced and how you used data to overcome them.
✨Tip Number 4
Brush up on your communication skills, especially when it comes to explaining complex data concepts to non-technical audiences. This is crucial for collaborating with cross-functional teams.
We think you need these skills to ace Data Scientist - Maidenhead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, machine learning, and analytics. Use keywords from the job description to demonstrate that you meet the requirements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data-driven decision-making. Mention specific projects or experiences that align with the responsibilities listed in the job description.
Showcase Technical Skills: Clearly outline your proficiency in Python, R, SQL, and any data visualisation tools you are familiar with. Provide examples of how you've used these skills in past roles to solve real-world problems.
Prepare for Interviews: Be ready to discuss your previous projects in detail, especially those involving machine learning models and A/B testing. Think about how you can explain complex concepts to non-technical audiences, as this is a key part of the role.
How to prepare for a job interview at Solas IT Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning, predictive analytics, and data visualisation tools. Bring examples of projects where you've successfully applied these skills, as this will demonstrate your capability to handle the responsibilities of the role.
✨Prepare for Problem-Solving Questions
Expect questions that assess your analytical thinking and problem-solving abilities. Practice explaining your thought process when tackling complex datasets or designing experiments, as this will highlight your approach to real-world challenges.
✨Communicate Clearly
Since you'll be presenting insights to both technical and non-technical audiences, practice simplifying complex concepts. Being able to convey your findings in an understandable way is crucial, so focus on clarity and confidence in your communication.
✨Demonstrate Collaboration Skills
As the role involves working closely with cross-functional teams, be ready to discuss your experiences collaborating with others. Share examples of how you've worked with data engineers or stakeholders to achieve project goals, showcasing your teamwork and interpersonal skills.
