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For Companies At a Glance
- Tasks: Uncover patterns in data, develop products, and propose solutions to drive business growth.
- Company: Join a forward-thinking company focused on innovation and data-driven decision-making.
- Benefits: Enjoy a competitive salary, collaborative culture, and opportunities for professional growth.
- Why this job: Be at the forefront of AI and machine learning, making a real impact on business strategies.
- Qualifications: Bachelor's degree in Computer Science or related field; experience in data science is essential.
- Other info: Remote work options may be available; ideal for tech-savvy problem solvers.
The predicted salary is between 30000 - 40000 £ per year.
We’re seeking a skilled AI Specialist to uncover patterns in complex datasets and deliver actionable insights to drive business growth. In this role, you’ll develop data-driven products, identify trends, and propose solutions to strategic challenges. With a strong analytical mindset, proficiency in data tools, and a passion for machine learning and research, you’ll play a pivotal role in decision-making and innovation.
Key Responsibilities
- Identify and integrate valuable data sources; automate data collection processes
- Preprocess structured and unstructured datasets for analysis
- Analyse extensive datasets to identify patterns and trends
- Develop predictive models and implement machine learning algorithms
- Enhance outcomes through ensemble modelling techniques
- Communicate findings effectively using data visualisation tools
- Collaborate with cross-functional teams, including engineering and product development, to propose strategies and solve business challenges
Requirements
- Proven experience as a Data Scientist or Data Analyst
- Expertise in data mining, machine learning, and operations research
- Proficiency in programming languages such as R, SQL, and Python (Scala, Java, or C++ knowledge is advantageous)
- Experience with business intelligence tools (e.g., Tableau) and data frameworks (e.g., Hadoop)
- Strong mathematical foundation (statistics, algebra)
- Excellent communication skills for presenting complex data in actionable formats
- A bachelor’s degree in Computer Science, Engineering, or a related field is required; a master’s degree in Data Science or another quantitative discipline is preferred
Contact Detail:
Kingsgate Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Professional
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning. Follow industry leaders on social media, read relevant blogs, and participate in online forums to stay updated. This knowledge will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Build a portfolio showcasing your data analysis projects. Include examples where you've used programming languages like Python or R to solve real-world problems. Having tangible evidence of your skills can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the AI and data science community. Attend meetups, webinars, or conferences to connect with others in the field. These connections can lead to job referrals and insider information about openings at companies like us.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and data analysis problems. Websites like LeetCode or HackerRank can be great resources. Being well-prepared will boost your confidence and help you perform better during the interview process.
We think you need these skills to ace AI Professional
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, machine learning, and programming languages like R, SQL, and Python. Use keywords from the job description to demonstrate that you meet the requirements.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and data analysis. Mention specific projects or experiences where you've successfully identified trends or developed predictive models, showcasing your analytical mindset.
Showcase Your Skills: If you have experience with business intelligence tools like Tableau or data frameworks such as Hadoop, be sure to include this in your application. Highlight any relevant certifications or courses that enhance your qualifications.
Prepare for Technical Questions: Anticipate technical questions related to data mining, machine learning algorithms, and data visualisation. Be ready to discuss your approach to solving complex problems and how you communicate findings effectively.
How to prepare for a job interview at Kingsgate Recruitment Ltd
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've identified patterns in complex datasets. Be ready to explain your thought process and the tools you used, as this will demonstrate your analytical mindset.
✨Familiarise Yourself with Relevant Tools
Make sure you are well-versed in programming languages like R, SQL, and Python. If you have experience with business intelligence tools like Tableau or data frameworks such as Hadoop, be prepared to discuss these in detail.
✨Communicate Clearly
Practice explaining complex data findings in simple terms. The ability to communicate insights effectively is crucial, so consider preparing a few examples where you've successfully presented data to non-technical stakeholders.
✨Collaborate and Problem-Solve
Be ready to discuss how you've worked with cross-functional teams in the past. Highlight any strategies you've proposed to solve business challenges, as collaboration is key in this role.
