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- Tasks: Join a dynamic data team to analyse massive datasets and enhance user products.
- Company: Trust In Soda partners with a leading media publisher in London, known for innovation.
- Benefits: Enjoy a collaborative environment, flexible working options, and opportunities for professional growth.
- Why this job: Be part of a start-up-like culture within a large company, driving impactful data solutions.
- Qualifications: Experience with Python, NLP models, and strong communication skills are essential.
- Other info: Work with cutting-edge technologies and contribute to exciting projects in the media industry.
The predicted salary is between 48000 - 72000 £ per year.
Trust In Soda are looking for a Senior Data Scientist to join a client we work with in London who are a highly regarded, household media publisher! Within the role you will be working with huge sets of data; my client owns over 80 websites and have 120m unique browsers each month!
Although the whole company is large in terms of headcount, this role sits in a smaller and more nimble data team that operate more like a start up! They follow their own Agile process and create their own rules to get the job done.
You will be working collaboratively with other Data Scientists, Analysts, Engineers, Product & UX to drive forward data-based platforms, enhance user facing products and build highly advanced analytical tools.
Company:
Trust in Soda
Qualifications:
Essential Requirements:
Extensive experience in deploying products
Solid experience with Python, and associated libraries such as scipy, scikit-learn and pandas/numpy
Experience creating NLP / DL / RNN models
Experience with Image Processing and CNNs
Excellent communication skills
Degree in CS, maths, statistics, engineering, physics or similar
Desirable Requirements:
NoSQL databases – Elasticsearch, MongoDB…etc (bonus)
Modern Data tools such as Spark / Beam (bonus)
Streaming technologies such as Spark/Akka Streams (bonus)
Tagged as: Industry , NLP , United Kingdom
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Senior Data Scientist employer: NLP PEOPLE
Contact Detail:
NLP PEOPLE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Python libraries like scipy and scikit-learn. Being able to discuss your experience with these tools during interviews will show that you're well-prepared and knowledgeable.
✨Tip Number 2
Highlight any previous experience you have working in Agile environments. Since the team operates like a start-up, demonstrating your adaptability and collaborative skills will make you a more attractive candidate.
✨Tip Number 3
Prepare examples of projects where you've successfully deployed data products or built analytical tools. Be ready to discuss the impact of your work on user-facing products, as this aligns closely with the role's responsibilities.
✨Tip Number 4
Network with current or former employees of the company or similar organisations. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during your interview process.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive experience in deploying products and your proficiency in Python and its libraries. Include specific examples of projects where you've created NLP, DL, or RNN models.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for working with a household media publisher and how your skills align with their needs. Mention your experience with data teams and Agile processes to show you fit their culture.
Showcase Relevant Projects: Include a portfolio or a section in your CV that showcases relevant projects, especially those involving image processing and CNNs. This will demonstrate your hands-on experience and technical capabilities.
Prepare for Technical Questions: Anticipate technical questions related to your experience with NoSQL databases, modern data tools, and streaming technologies. Be ready to discuss how you've applied these in past roles or projects.
How to prepare for a job interview at NLP PEOPLE
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and its libraries like scipy, scikit-learn, and pandas/numpy. Bring examples of projects where you've deployed products or created NLP/DL/RNN models to demonstrate your expertise.
✨Understand the Company Culture
Since the role is in a smaller, agile data team, show that you can adapt to a start-up environment. Research Trust In Soda and their client to understand their values and how they operate, and be ready to discuss how you fit into that culture.
✨Prepare for Collaborative Scenarios
As you'll be working closely with other Data Scientists, Analysts, Engineers, and UX teams, think of examples where you've successfully collaborated on projects. Highlight your communication skills and how you can contribute to a team-oriented environment.
✨Stay Updated on Modern Data Tools
Familiarise yourself with modern data tools and technologies mentioned in the job description, such as NoSQL databases and streaming technologies. Even if you don't have direct experience, showing enthusiasm and a willingness to learn can set you apart.
