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- Tasks: Join a global analytics team to analyse big data and develop behavioural models.
- Company: A leading recruitment agency focused on connecting talent with opportunities.
- Benefits: Enjoy skills training, personal development, and significant growth potential in Big Data.
- Why this job: Be part of innovative projects that enhance customer experiences and product strategies.
- Qualifications: Master’s or PhD in relevant fields with commercial data science experience required.
- Other info: Ideal for talented scientists passionate about uncovering insights from complex datasets.
The predicted salary is between 28800 - 48000 £ per year.
This is an exceptional opportunity to work as a Data Scientist within a global analytics team, utilizing various big data technologies to develop complex behavioral models, analyze customer uptake of products, and foster new product innovation.
Responsibilities include:
- Generating and reviewing large datasets through advanced quantitative and statistical techniques.
- Designing, building, and utilizing consumer behavioral forecasting models across different business sectors to maximize opportunities.
- Leading initiatives to enhance data accuracy, availability, granularity, and coverage.
- Developing analytics strategies to improve customer and product strategies.
- Designing better data analysis processes for future use.
- Proactively deriving actionable insights from large datasets using advanced statistical techniques.
- Analyzing customer behavior patterns to optimize product performance and customer experience.
- Building complex behavior forecasting models to identify links between behavior and new opportunities.
- Manipulating high-level data and presenting findings clearly to senior stakeholders.
- Supporting the development of analytics strategies to enhance product plans and customer engagement.
Ideal candidates are talented scientists with exceptional data analysis and problem-solving skills, capable of discerning hidden patterns and signals within financial markets.
This is a fantastic career opportunity in the Big Data domain. The company invests heavily in skills training and personal development, offering significant growth potential in technical Big Data skills and personal development.
Please send your CV for immediate consideration for this exciting Data Scientist role.
Jnr Data Scientist employer: NLP PEOPLE
Contact Detail:
NLP PEOPLE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Jnr Data Scientist
✨Tip Number 1
Familiarise yourself with the specific big data technologies mentioned in the job description, such as Hadoop and Hive. Having hands-on experience or projects showcasing your skills in these areas can set you apart from other candidates.
✨Tip Number 2
Engage with online communities or forums related to data science and big data analytics. Networking with professionals in the field can provide insights into the company culture and may even lead to referrals.
✨Tip Number 3
Prepare to discuss your previous projects that involved customer segmentation models or behavioural forecasting. Be ready to explain your thought process and the impact of your work on business outcomes.
✨Tip Number 4
Stay updated on the latest trends and advancements in data science and analytics. Being knowledgeable about current industry practices will demonstrate your passion for the field and your commitment to continuous learning.
We think you need these skills to ace Jnr Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly in statistics, data mining, and big data technologies. Use specific examples to demonstrate your skills in generating and reviewing large datasets.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for data science and your understanding of the role. Mention your experience with consumer behavioural forecasting models and how you can contribute to the company's analytics strategies.
Highlight Technical Skills: Clearly list your technical skills, especially your proficiency in SAS and any experience with Hadoop, Hive, or MapReduce. This will help the recruitment agency see that you meet the qualifications they are looking for.
Showcase Problem-Solving Abilities: In your application, provide examples of how you've used advanced statistical techniques to derive actionable insights from large datasets. This will demonstrate your problem-solving skills and ability to discern patterns in data.
How to prepare for a job interview at NLP PEOPLE
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in statistics, data mining, and big data technologies during the interview. Be prepared to discuss specific projects where you've applied these skills, especially if you've worked with tools like Hadoop or SAS.
✨Demonstrate Problem-Solving Abilities
Prepare examples that showcase your analytical thinking and problem-solving skills. Discuss how you've derived actionable insights from complex datasets and how those insights have impacted business decisions.
✨Understand the Business Context
Familiarise yourself with the company's products and market position. Being able to connect your data analysis skills to their business objectives will demonstrate your understanding of how data science can drive product innovation and customer engagement.
✨Communicate Clearly
Practice presenting your findings in a clear and concise manner. Since you'll be manipulating high-level data and presenting to senior stakeholders, being able to explain complex concepts in simple terms is crucial.
