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- Tasks: Join a global tech company as a Data Scientist, tackling real-world problems with data.
- Company: Work with a leading technology firm known for innovation and impact.
- Benefits: Enjoy flexible remote work options and competitive pay of £50-£55 per hour.
- Why this job: Make a difference by developing predictive models and improving products through data insights.
- Qualifications: Must have a degree in Computer Science and 5+ years of relevant experience.
- Other info: Candidates must have the right to work in the UK.
Data Scientist – London/Remote – 12 Months – £50-£55 ph PAYE
A global technology company is looking for an experienced Data Scientist to join their team on an initial 12-month assignment.
Responsibilities:
- Apply knowledge of statistics, machine learning, programming, data modelling, simulation, and advanced mathematics to recognise patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.
- Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data.
- Generate and test hypotheses and analyse and interpret the results of product experiments.
- Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.
- Provide Business Intelligence and data visualisation support, support for the online customer service dashboards, and other ad-hoc requests requiring data analysis and visual support.
Skills/Experience:
- Degree in Computer Science or related field.
- 5+ years experience.
- Expertise in SQL.
- Experience in either programming languages such as Python and/or R, big data tools such as Hadoop, or data visualisation tools such as Tableau.
- The ability to communicate effectively in writing, including conveying complex information and promoting in-depth engagement on course topics.
- Experience working with large datasets.
Please note: We can only consider applications from candidates who have the right to work in the UK.
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Data Scientist employer: Huntress
Contact Detail:
Huntress 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 SQL and programming languages like Python or R in your conversations. Highlight specific projects where you've successfully applied these skills, as this will demonstrate your hands-on expertise.
✨Tip Number 2
Familiarize yourself with the latest trends in data science, especially in predictive modeling and data visualization. Being able to discuss recent advancements or tools like Tableau can set you apart during interviews.
✨Tip Number 3
Prepare to discuss how you've collaborated with product engineers in the past. Sharing examples of how you've translated data insights into actionable product features will show your ability to work cross-functionally.
✨Tip Number 4
Since the role involves generating and testing hypotheses, be ready to talk about your approach to experimentation. Discuss any relevant case studies where your analytical skills led to significant business outcomes.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly your expertise in SQL, Python, R, and any big data tools you've used. Emphasize your ability to work with large datasets and your experience in developing predictive models.
Craft a Strong Cover Letter: In your cover letter, explain why you're interested in this specific role and how your background aligns with the responsibilities listed. Mention your experience with data visualization tools like Tableau and your ability to communicate complex information effectively.
Showcase Relevant Projects: If you have worked on projects that involved machine learning, data modeling, or business intelligence, be sure to include these in your application. Describe your role and the impact of your work on product development or improvement.
Proofread Your Application: Before submitting, carefully proofread your application for any grammatical errors or typos. A polished application reflects your attention to detail, which is crucial in data science roles.
How to prepare for a job interview at Huntress
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Python, R, and any big data tools you've used. Highlight specific projects where you applied these skills to solve real-world problems.
✨Demonstrate Problem-Solving Abilities
Expect to be asked about how you approach data analysis and model development. Share examples of how you've generated hypotheses, tested them, and interpreted results to drive product improvements.
✨Communicate Complex Ideas Clearly
Since effective communication is key, practice explaining your past projects in a way that is easy to understand. Use visuals if possible to illustrate your points, especially when discussing data visualisation.
✨Prepare for Behavioral Questions
Be ready to discuss your teamwork experiences, particularly how you've collaborated with product engineers or other stakeholders. Think of examples that showcase your ability to work in a team and adapt to changing requirements.
