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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 a pension, health insurance, quarterly stipends, and 25 days holiday.
- 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 team members and work on diverse projects.
The predicted salary is between 28800 - 48000 £ 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
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 coding skills, particularly in Python or R, as well as SQL. You might be asked to solve a coding challenge or discuss your coding approach, so being confident in these areas is crucial.
✨Tip Number 4
Research the company and its projects to understand how they use data science. Tailoring your responses to align with their goals and demonstrating your enthusiasm for their work can set you apart from other candidates.
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 science, particularly your skills in machine learning and data analysis. Use specific examples of projects you've worked on that align with the job description.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background in data science and your coding skills in Python or R make you a great fit for the position.
Showcase Your Projects: If you have any personal or professional projects that demonstrate your ability to build machine learning models or analyse data, include them in your application. This can set you apart from other candidates.
Prepare for Technical Questions: Be ready to discuss your technical skills and past experiences in detail. Think about how you would explain your approach to building models or conducting experiments to both technical and non-technical audiences.
How to prepare for a job interview at Solas IT Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, R, and SQL in detail. Bring examples of projects where you've built machine learning models or conducted data analysis, as this will demonstrate your technical proficiency.
✨Understand the Business Context
Research the company and its industry to understand the types of problems they face. Be ready to discuss how your skills can help solve these issues, particularly through data-driven solutions.
✨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 designing experiments or A/B testing.
✨Communicate Clearly
Since you'll be presenting insights to both technical and non-technical audiences, practice explaining complex concepts in simple terms. This will show your ability to bridge the gap between data science and business needs.
