At a Glance
- Tasks: Analyze financial data, develop AI models, and enhance algorithms for smarter investment strategies.
- Company: Join a cutting-edge fintech startup focused on AI-driven financial solutions.
- Benefits: Enjoy flexible work hours, wellness stipends, and competitive bonuses.
- Why this job: Be part of an innovative team tackling real-world challenges in finance with AI.
- Qualifications: Bachelor's in Data Science or related field; strong programming skills in Python, R, or SQL required.
- Other info: Access mentorship and professional growth opportunities in a dynamic startup environment.
The predicted salary is between 28800 - 48000 £ per year.
As a Junior Data Scientist, you’ll be part of a forward-thinking team that thrives on solving real-world problems with AI. You’ll contribute to building smarter, more efficient financial systems, working on exciting projects that combine cutting-edge technology with practical applications in investment and risk management.
What You’ll Be Doing
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Data Analysis & Insights: Dive into complex financial datasets to identify trends, patterns, and actionable insights that inform business and investment strategies.
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AI & ML Model Development: Create and improve machine learning models to forecast market trends, optimize portfolios, and assess risks.
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Algorithm Refinement: Collaborate on enhancing trading and investment algorithms with advanced AI techniques.
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Cross-Functional Collaboration: Work closely with product managers, engineers, and financial analysts to deliver integrated AI-driven solutions.
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Big Data Processing: Leverage technologies like Spark and cloud platforms to process and analyze large-scale datasets.
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Continuous Innovation: Stay ahead of the curve by implementing the latest advancements in AI, machine learning, and fintech.
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Bachelor’s degree in Data Science, Computer Science, Mathematics, or Engineering (Master’s preferred).
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Strong programming skills in Python, R, or SQL.
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Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
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Proficiency in data visualization tools like Tableau, Power BI, or Matplotlib.
Bonus Skills:
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Familiarity with cloud platforms like AWS, Azure, or Google Cloud.
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Knowledge of financial systems, trading algorithms, or investment strategies.
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Experience with big data technologies like Hadoop or Spark.
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Understanding of statistical modeling, natural language processing, and predictive analytics.
Mindset:
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Passionate about AI and its applications in fintech.
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A problem-solver who enjoys diving into complex challenges.
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Eager to learn and contribute to cutting-edge projects in a fast-paced startup environment.
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Learning Opportunities: Access mentorship, professional certifications, and the latest industry knowledge.
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Dynamic Team: Work with some of the brightest minds in AI and fintech.
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Flexibility: Hybrid work arrangements and generous leave policies to support work-life balance.
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Growth Potential: Be part of a rapidly scaling startup with room for personal and professional advancement.
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Perks That Matter: Bonuses, wellness stipends, and resources for professional growth.
Benefits
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Competitive performance-based bonuses.
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Professional development grants and learning opportunities.
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Flexible working hours and generous PTO policies.
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Monthly wellness stipends for mental health support and fitness.
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Collaborative and innovative team culture.
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Clear career progression pathways in a rapidly growing company.
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Hybrid working with state-of-the-art office facilities in Birmingham.
Junior Data Science - AI Fintech employer: Intellect
Contact Detail:
Intellect Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Science - AI Fintech
✨Tip Number 1
Familiarize yourself with the latest trends in AI and fintech. 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 show your genuine interest in the field.
✨Tip Number 2
Engage in projects that showcase your skills in data analysis and machine learning. Contribute to open-source projects or create your own portfolio of work. This practical experience can set you apart from other candidates and demonstrate your ability to apply theoretical knowledge.
✨Tip Number 3
Network with professionals in the fintech and AI sectors. Attend meetups, webinars, or conferences to connect with potential colleagues and mentors. Building relationships can lead to valuable insights and even job referrals.
✨Tip Number 4
Prepare for technical interviews by practicing coding challenges and algorithm questions. Use platforms like LeetCode or HackerRank to sharpen your programming skills in Python, R, or SQL. Being well-prepared will boost your confidence and performance during the interview process.
We think you need these skills to ace Junior Data Science - AI Fintech
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, AI, and fintech. Emphasize your programming skills in Python, R, or SQL, and any experience with machine learning frameworks like TensorFlow or PyTorch.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and its applications in fintech. Mention specific projects or experiences that demonstrate your problem-solving skills and eagerness to learn in a fast-paced environment.
Showcase Your Projects: If you have worked on relevant projects, whether academic or personal, include them in your application. Highlight your contributions to data analysis, model development, or algorithm refinement, and how they relate to the job description.
Highlight Continuous Learning: Mention any professional certifications, courses, or workshops you've completed related to data science, machine learning, or fintech. This shows your commitment to staying updated with industry advancements.
How to prepare for a job interview at Intellect
✨Showcase Your Technical Skills
Be prepared to discuss your programming skills in Python, R, or SQL. Highlight any projects where you've used machine learning frameworks like TensorFlow or PyTorch, and be ready to explain your thought process behind developing models.
✨Demonstrate Your Problem-Solving Mindset
Share examples of complex challenges you've tackled in the past, especially those related to data analysis or AI. Emphasize your passion for finding innovative solutions in fintech and how you approach problem-solving.
✨Familiarize Yourself with Financial Concepts
Brush up on your knowledge of financial systems, trading algorithms, and investment strategies. Being able to discuss these topics will show that you're not just a tech expert but also understand the business context.
✨Prepare for Collaborative Scenarios
Since the role involves cross-functional collaboration, think of instances where you've worked with product managers, engineers, or analysts. Be ready to discuss how you communicate and collaborate effectively in a team setting.