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For Companies At a Glance
- Tasks: Join as a Data Scientist, using cutting-edge tech like AWS, AI, and ML.
- Company: Work with an industry leader focused on innovation and employee growth.
- Benefits: Enjoy a salary up to £65,000, 25 days leave, and a fantastic pension scheme.
- Why this job: Experience rapid career progression in a supportive environment that values work-life balance.
- Qualifications: Must have experience in Data Science, Python, and AWS technologies.
- Other info: Limited interview slots available; apply now for this exciting opportunity!
The predicted salary is between 42000 - 78000 £ per year.
About
I’m currently working with a leader within their field who is genuinely looking to make a difference within their industry. They have recently expanded and have an environment where hard work is rewarded, i.e., progression based on meritocracy. They have many cases where junior individuals have been promoted to a senior manager position and beyond within years of starting their journey with this client.
Originally founded in the early 2000s, they’ve proven to be ahead of their competition but also boast about being able to offer stability as an organization. They work with professionals to provide them with opportunities to really develop and upskill themselves.
This role is for a Data Scientist where you’ll be using the latest tech within AWS, which means that you’ll be working alongside the Data Engineering team and using tools such as AI, LLM, ML, Databricks, and more.
As Part Of This Role, You Can Expect
Salary which is paying up to £65,000, 25 days annual leave, unparalleled pension scheme, as well as a range of other benefits.
My client really understands the importance of work-life balance as well as being able to provide employees with the opportunity for development. You can expect regular reviews as well as a signposted career path to help you achieve your career aspirations.
Essential Skills
Proven history of working in a Data Science capacity, exposure to data technologies such as Python, LLM, ML techniques (Clustering, Regression), understanding of normalization, CI/CD, R, and ML Ops. Exposure to the AWS Cloud and its serverless technologies (Lambda, S3, Redshift).
This role is an urgent requirement; there are limited interview slots left. If interested, send an up-to-date CV to Shoaib Khan or call for a catch-up in complete confidence.
Nice-to-have skills
- AWS
- Python
- R
- AWS Lambda
Work experience
- Data Scientist
- Data Engineer
Languages
- English
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Data Scientist employer: TieTalent
Contact Detail:
TieTalent 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 data technologies like Python and ML techniques during the interview. Be prepared to discuss specific projects where you've applied these skills, as this will demonstrate your hands-on experience.
✨Tip Number 2
Familiarize yourself with AWS Cloud services, especially serverless technologies like Lambda and S3. Having a solid understanding of how these tools work will give you an edge in discussions with the Data Engineering team.
✨Tip Number 3
Highlight your ability to work in a collaborative environment. Since you'll be working closely with the Data Engineering team, demonstrating your teamwork skills and how you've successfully collaborated on past projects can set you apart.
✨Tip Number 4
Research the company culture and values, particularly their focus on meritocracy and employee development. Being able to articulate how your career aspirations align with their growth opportunities will show that you're a great fit for their team.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your proven history in a Data Science capacity. Include specific projects or roles where you utilized Python, LLM, and ML techniques like Clustering and Regression.
Showcase Technical Skills: Clearly list your exposure to data technologies and AWS Cloud services. Mention any experience with serverless technologies such as Lambda, S3, and Redshift to align with the job requirements.
Tailor Your CV: Customize your CV to reflect the skills and experiences that are most relevant to this role. Use keywords from the job description to ensure your application stands out to recruiters.
Express Your Career Aspirations: In your cover letter or application, convey your enthusiasm for professional development and how you see this role aligning with your career goals. Mention the importance of work-life balance and progression based on meritocracy.
How to prepare for a job interview at TieTalent
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data technologies like Python, LLM, and ML techniques. Highlight specific projects where you've applied these skills, especially in relation to AWS services.
✨Demonstrate Your Problem-Solving Ability
Expect to face technical challenges during the interview. Practice explaining your thought process when tackling data-related problems, particularly those involving clustering and regression techniques.
✨Understand the Company Culture
Research the company's commitment to meritocracy and employee development. Be ready to discuss how you align with their values and how you can contribute to a positive work environment.
✨Prepare Questions About Career Progression
Since the company emphasizes career growth, prepare insightful questions about their career path opportunities and how they support employees in achieving their aspirations.
