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- Tasks: Uncover insights and build predictive models using data analysis and machine learning.
- Company: Join a dynamic team focused on delivering data-driven solutions in Maidenhead.
- Benefits: Enjoy 25 days holiday, health insurance, and a quarterly stipend for personal use.
- Why this job: Be part of a collaborative culture that values innovation and supports your growth.
- Qualifications: Bachelor’s degree in Data Science or related field with 2+ years of experience required.
- Other info: Opportunity to mentor junior members and work on diverse projects.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for a mid-level Data Scientist to join our client's growing team. You will use your skills in data analysis and machine learning to uncover insights, build predictive models, and support decision-making across various projects. You’ll also work closely with engineers, product teams, and other stakeholders to deliver data-driven solutions.
Benefits:
- Pension
- Health insurance
- Employees will be receiving a quarterly stipend to spend
- Employee Assistance programme – wellbeing
- 25 days holidays
- Group Life assurance scheme
- Long Term Disability Scheme
Key Responsibilities:
- Explore large datasets to identify patterns and insights
- Build and improve machine learning models to solve business problems
- Design and analyze experiments (A/B testing, etc.)
- Data Engineering Support
- Work with data engineers to ensure clean, usable data
- Build and maintain data pipelines for model input
- Write automated checks for your models and processes
- Work with stakeholders to define problems and share results
- Present insights to both technical and non-technical audiences
- Join design sessions to help shape the team’s work
- Build domain understanding to improve model accuracy
- Provide guidance to junior team members
Requirements:
- Bachelor’s degree in Data Science, Statistics, Math, or similar
- 2+ years in data science or analytics
- Experience building machine learning models and analyzing data
- Background in designing experiments or solving real-world problems with data
- Strong coding skills in Python or R (R is a plus)
- Experience writing SQL and working with databases
- Comfortable with data visualization tools
- Strong communication and problem-solving skills
- Ability to juggle multiple projects and manage your time well
Data Scientist (Mid Level) - 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 (Mid Level) - Maidenhead
✨Tip Number 1
Familiarise yourself with the specific machine learning models and data analysis techniques mentioned in the job description. Being able to discuss these in detail during your interview will show that you have the relevant skills and knowledge.
✨Tip Number 2
Prepare examples of past projects where you've successfully built predictive models or conducted A/B testing. This will help you demonstrate your practical experience and problem-solving abilities to the interviewers.
✨Tip Number 3
Brush up on your SQL skills, as well as your coding abilities in Python or R. Being able to showcase your technical proficiency during discussions will give you an edge over other candidates.
✨Tip Number 4
Practice explaining complex data insights in simple terms. Since you'll be presenting to both technical and non-technical audiences, being able to communicate effectively is crucial for this role.
We think you need these skills to ace Data Scientist (Mid Level) - Maidenhead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, machine learning, and any specific projects that demonstrate your skills. Use keywords from the job description to align your experience with what the company is looking for.
Craft a Compelling Cover Letter: In your cover letter, explain why you are interested in the Data Scientist position and how your background makes you a great fit. Mention specific examples of your work with machine learning models and data analysis that relate to the responsibilities outlined in the job description.
Showcase Your Technical Skills: Be sure to include any relevant technical skills, such as proficiency in Python or R, SQL experience, and familiarity with data visualization tools. If you have worked on specific projects or have a portfolio, mention these to demonstrate your capabilities.
Prepare for Potential Assessments: Since the role involves building and improving machine learning models, be prepared for potential technical assessments or case studies during the application process. Brush up on your coding skills and be ready to discuss your approach to problem-solving in data science.
How to prepare for a job interview at Solas IT Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data analysis, machine learning, and coding in Python or R. Bring examples of projects where you've built models or solved real-world problems using data.
✨Understand the Business Context
Research the company and its industry to understand the types of data-driven solutions they might need. Be ready to discuss how your skills can help them achieve their goals.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities. Practice explaining your thought process when tackling data-related challenges, including how you would approach A/B testing or designing experiments.
✨Communicate Clearly
Since you'll be presenting insights to both technical and non-technical audiences, practice explaining complex concepts in simple terms. Good communication is key to demonstrating your ability to work with various stakeholders.
