Data Scientist

Data Scientist

London Full-Time 28800 - 48000 £ / year (est.)
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At a Glance

  • Tasks: Join our team to analyze data and develop AI solutions for real-world challenges.
  • Company: Be part of a fast-growing company that values innovation and collaboration.
  • Benefits: Enjoy flexible hours, remote work, generous vacation, and wellness perks.
  • Why this job: Make an impact with cutting-edge technology while working in a vibrant culture.
  • Qualifications: Bachelor's or Master's in Data Science or related field; experience in data analysis and machine learning required.
  • Other info: Stay updated with the latest in data science and collaborate with diverse teams.

The predicted salary is between 28800 - 48000 £ per year.

They’re seeking a talented and motivated Data Scientist to join a fast growing in-house team. In this role, you will leverage your expertise in data analysis, machine learning, and statistical modelling to develop cutting-edge AI solutions that address real-world challenges. You will collaborate with cross-functional teams to transform data into actionable insights and contribute to the development of innovative products., Analyze complex datasets to extract meaningful insights and identify trends.

  • Develop and implement machine learning models to solve business problems.

  • Collaborate with engineering and product teams to integrate data-driven solutions into a wide range of products.

  • Communicate findings and recommendations effectively to stakeholders.

  • Stay up-to-date with the latest advancements in data science and AI technologies.

Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.

  • Proven experience in data analysis, machine learning, and statistical modelling.

  • Proficiency in programming languages such as Python or R.

  • Familiarity with data visualization tools (e.g., Tableau, Pothey’rer BI).

  • Strong problem-solving skills and attention to detail.

  • Excellent communication skills and ability to work collaboratively in a team environment., * Analysis

  • Computer Science

  • Data

  • Programming

  • Python

Competitive salary with equity options.

  • Flexible working hours and remote work opportunities.

  • Generous vacation policy to promote work-life balance.

  • Access to continuous learning and professional development resources.

  • A vibrant office culture with regular team events and activities.

  • Health and wellness benefits, including gym memberships and mental health support.

Data Scientist employer: JH Partners (EMEA) Company Limited

Join a dynamic and innovative team as a Data Scientist, where your expertise will directly contribute to developing cutting-edge AI solutions that tackle real-world challenges. Enjoy a competitive salary with equity options, flexible working hours, and a generous vacation policy that promotes work-life balance. With access to continuous learning resources and a vibrant office culture filled with team events, this role offers not just a job, but a meaningful career path in a supportive environment.
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Contact Detail:

JH Partners (EMEA) Company Limited Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Scientist

✨Tip Number 1

Make sure to showcase your experience with machine learning and statistical modeling in your conversations. Be prepared to discuss specific projects where you've successfully implemented these techniques, as this will demonstrate your hands-on expertise.

✨Tip Number 2

Familiarize yourself with the latest trends in data science and AI technologies. Being able to discuss recent advancements or tools during your interview can set you apart and show your passion for the field.

✨Tip Number 3

Highlight your collaborative skills by preparing examples of how you've worked with cross-functional teams in the past. This will illustrate your ability to integrate data-driven solutions into various products effectively.

✨Tip Number 4

Practice communicating complex data insights in a clear and concise manner. You might be asked to explain your findings to non-technical stakeholders, so being able to simplify your analysis is crucial.

We think you need these skills to ace Data Scientist

Data Analysis
Machine Learning
Statistical Modelling
Programming in Python or R
Data Visualization (e.g., Tableau, Power BI)
Problem-Solving Skills
Attention to Detail
Collaboration Skills
Effective Communication
Understanding of AI Technologies
Trend Identification
Cross-Functional Teamwork
Continuous Learning Agility

Some tips for your application 🫡

Highlight Relevant Experience: Make sure to emphasize your experience in data analysis, machine learning, and statistical modeling. Use specific examples from your past work that demonstrate your ability to develop AI solutions and analyze complex datasets.

Showcase Technical Skills: Clearly list your proficiency in programming languages such as Python or R, and mention any experience with data visualization tools like Tableau or Power BI. This will help the company see your technical capabilities at a glance.

Communicate Effectively: Since excellent communication skills are crucial for this role, ensure that your application clearly conveys your findings and recommendations. Use concise language and structure your application to make it easy for stakeholders to understand your insights.

Stay Current: Mention any recent advancements in data science or AI technologies that you are familiar with. This shows your commitment to continuous learning and staying updated in a fast-evolving field, which is important for the role.

How to prepare for a job interview at JH Partners (EMEA) Company Limited

✨Showcase Your Technical Skills

Be prepared to discuss your experience with data analysis, machine learning, and statistical modeling. Bring examples of projects where you've successfully implemented these skills, and be ready to explain your thought process and the impact of your work.

✨Demonstrate Collaboration

Since the role involves working with cross-functional teams, highlight your ability to collaborate effectively. Share specific instances where you worked with engineering or product teams to integrate data-driven solutions, emphasizing communication and teamwork.

✨Stay Current with Industry Trends

Show your passion for data science by discussing recent advancements in AI technologies. Mention any relevant courses, workshops, or conferences you've attended, and how you plan to apply this knowledge in your role.

✨Prepare for Problem-Solving Questions

Expect to face questions that assess your problem-solving skills. Practice explaining your approach to analyzing complex datasets and developing machine learning models. Use the STAR method (Situation, Task, Action, Result) to structure your responses.

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