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- Tasks: Support data-driven initiatives and deliver actionable insights with cross-functional teams.
- Company: Join a leading tech company focused on innovation and collaboration.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real impact by transforming data into valuable business insights.
- Qualifications: 5+ years in data science, proficiency in Python, R, SQL, and strong analytical skills.
- Other info: Dynamic work environment with a focus on career advancement.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for a highly skilled Data Scientist. The successful candidate will support data-driven initiatives, working collaboratively with cross-functional teams to deliver actionable insights and drive business impact.
Top required skills:
- 5+ years of experience in Data science
- Past experience working with product team
- Proficiency in data analysis and programming languages: Python, R, SQL
- Proficiency in statistical analysis
Good to have skills:
- Collaboration and influencing with stakeholders, good communication, translating data insights into product insights
- Experience in support organization or integrity
- Proven experience as a Data Scientist or in a similar analytical role
- Proficiency in data analysis tools and programming languages (e.g., Python, R, SQL)
- Strong understanding of statistical modeling, machine learning, and data visualization techniques
- Ability to communicate complex technical concepts to non-technical audiences
- Bachelor’s degree or higher in Computer Science, Statistics, Mathematics, or a related field
Seniority level: Mid-Senior level
Employment type: Contract
Job function: Science and Information Technology
Industries: Technology, Information and Media and Information Services
Data Scientist in England employer: LanceSoft UK
Contact Detail:
LanceSoft UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using Python, R, or SQL. We recommend sharing this on platforms like GitHub or even your own website to give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and practising common data science interview questions. We suggest doing mock interviews with friends or using online resources to get comfortable explaining complex concepts in simple terms.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Data Scientists like you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Scientist in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your 5+ years of experience and any relevant projects you've worked on, especially those involving Python, R, or SQL. We want to see how your skills align with what we're looking for!
Showcase Your Skills: Don’t just list your skills; demonstrate them! Include specific examples of how you've used data analysis and statistical modelling in past roles. This helps us understand your practical experience and how you can contribute to our team.
Communicate Clearly: Remember, we value good communication! When writing your application, make sure to explain complex concepts in a way that’s easy to understand. This shows us you can translate data insights into actionable product insights, which is key for this role.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at LanceSoft UK
✨Know Your Data Inside Out
Make sure you’re well-versed in the data analysis tools and programming languages mentioned in the job description, like Python, R, and SQL. Brush up on your statistical modelling and machine learning techniques, as you might be asked to demonstrate your knowledge during the interview.
✨Showcase Your Collaboration Skills
Since the role involves working with cross-functional teams, be prepared to discuss past experiences where you successfully collaborated with product teams or stakeholders. Highlight specific examples that showcase your ability to influence and communicate effectively.
✨Prepare for Technical Questions
Expect technical questions that test your analytical skills and problem-solving abilities. Practice explaining complex concepts in simple terms, as you’ll need to translate data insights into actionable product insights for non-technical audiences.
✨Research the Company and Its Impact
Familiarise yourself with the company’s data-driven initiatives and how they impact the business. This will not only help you answer questions more effectively but also show your genuine interest in the role and the organisation.