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- Tasks: Tackle complex data challenges and deliver actionable insights in the FMCG sector.
- Company: Join a consultancy that values innovation and expertise in data science.
- Benefits: Enjoy a competitive daily rate and the flexibility of remote work.
- Why this job: Work on cutting-edge projects and collaborate with diverse teams to make an impact.
- Qualifications: Strong skills in Python, SQL, AWS, and experience in Time Series analysis required.
- Other info: Contract length is 6 months with occasional client site visits.
The predicted salary is between 90000 - 126000 £ per year.
Job Description
Data Scientist (Contract)
Industry: Consultancy
Salary: £450 per Day (Outside IR35)
Location: Remote (UK) – Occasional visit with end client
Contract Length: 6 Months
Start Date: ASAP
Job Description
Our client is seeking a skilled Data Scientist to work on an exciting project within the Fast-Moving Consumer Goods (FMCG) sector. You will utilise your expertise to tackle complex data challenges and deliver actionable insights.
Key Responsibilities:
- Develop and optimise data science solutions using Python and SQL.
- Leverage AWS for scalable data management and model deployment.
- Analyse Time Series data to uncover trends and patterns.
- Apply computer vision and acoustic analysis techniques where required.
- Collaborate with multi-disciplinary teams to ensure project objectives are met.
Requirements:
- Strong experience working with Python, SQL, and AWS environments.
- Proven track record in Time Series modelling and analysis.
- Experience in computer vision and acoustic analysis is highly desirable.
- Background in physical engineering is extremely advantageous.
- Ability to work independently in a remote setting with occasional travel to client sites.
- Excellent problem-solving skills and the ability to communicate complex concepts effectively.
Benefits:
- Competitive daily rate outside IR35.
- Flexibility to work remotely within the UK.
- Opportunity to work on cutting-edge projects within the FMCG industry.
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Data Scientist employer: Gravitas Recruitment Group (Global) Ltd
Contact Detail:
Gravitas Recruitment Group (Global) Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarize yourself with the latest trends in the FMCG sector. Understanding the specific challenges and opportunities in this industry will help you tailor your approach during interviews and discussions.
✨Tip Number 2
Brush up on your Python and SQL skills, especially focusing on libraries and frameworks commonly used in data science. Being able to demonstrate your technical proficiency in these areas will set you apart from other candidates.
✨Tip Number 3
Gain hands-on experience with AWS services relevant to data science, such as S3 for storage and SageMaker for model deployment. Highlighting your practical knowledge of these tools can significantly enhance your candidacy.
✨Tip Number 4
Prepare to discuss your experience with Time Series analysis and any projects where you've applied computer vision or acoustic analysis. Real-world examples will showcase your problem-solving skills and ability to deliver actionable insights.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and AWS. Include specific projects or achievements that demonstrate your skills in Time Series analysis and any relevant work in computer vision or acoustic analysis.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the FMCG sector. Discuss how your background in physical engineering can contribute to the project and provide examples of how you've tackled complex data challenges in the past.
Showcase Problem-Solving Skills: Use your application to illustrate your problem-solving abilities. Provide examples of how you've approached data challenges and the impact of your solutions. This will demonstrate your capability to deliver actionable insights.
Highlight Remote Work Experience: Since this position is remote, emphasize any previous experience you have working independently in a remote setting. Mention how you effectively communicate and collaborate with teams in such environments.
How to prepare for a job interview at Gravitas Recruitment Group (Global) Ltd
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and AWS in detail. Highlight specific projects where you've developed data science solutions and be ready to explain your approach to problem-solving.
✨Demonstrate Your Analytical Thinking
Since the role involves Time Series analysis, come equipped with examples of how you've uncovered trends and patterns in data. Discuss any relevant methodologies you used and the impact of your findings.
✨Highlight Collaboration Experience
The job requires working with multi-disciplinary teams, so share examples of how you've successfully collaborated with others. Emphasize your communication skills and how you convey complex concepts to non-technical stakeholders.
✨Prepare for Practical Scenarios
Expect to face practical questions or case studies during the interview. Brush up on computer vision and acoustic analysis techniques, and be ready to discuss how you would apply them to real-world problems in the FMCG sector.
