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For Companies At a Glance
- Tasks: Analyze financial data, develop AI models, and collaborate on innovative projects.
- Company: Join a Series B-funded AI fintech startup revolutionizing investment and risk management.
- Benefits: Enjoy hybrid work, bonuses, flexible hours, wellness perks, and professional development grants.
- Why this job: Make a real impact in fintech while learning from top industry experts in a dynamic team.
- Qualifications: Bachelor's in Data Science or related field; strong programming skills in Python, R, or SQL.
- Other info: Exciting opportunity for growth in a fast-paced startup environment.
The predicted salary is between 24000 - 28000 £ per year.
📌 Job Title: Junior Data Scientist
📍 Location: Birmingham, UK
🏢 Sector: AI & FinTech for Investment Optimization and Risk Management
💰 Salary: £30,000 – £35,000 per year (DOE)
🌐 Work Arrangement: Hybrid (2–3 days remote per week)
🎁 Core Benefits: Bonuses, flexible hours, professional development grants, wellness perks, and more!
About the Role
We’re working with a Series B-funded AI fintech startup based in Birmingham, revolutionizing the way businesses and investors approach financial decision-making. By harnessing machine learning, predictive analytics, and big data, the company is developing tools that optimize investment portfolios, predict market movements, and minimize financial risks.
The company operates at the intersection of AI and fintech, creating platforms and algorithms that empower financial institutions and businesses with data-driven insights. From automating risk assessments to refining trading strategies, they’re transforming how the financial industry functions.
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
- Data Analysis & Insights: Dive into complex financial datasets to identify trends, patterns, and actionable insights that inform business and investment strategies.
- AI & ML Model Development: Create and improve machine learning models to forecast market trends, optimize portfolios, and assess risks.
- Algorithm Refinement: Collaborate on enhancing trading and investment algorithms with advanced AI techniques.
- Cross-Functional Collaboration: Work closely with product managers, engineers, and financial analysts to deliver integrated AI-driven solutions.
- Big Data Processing: Leverage technologies like Spark and cloud platforms to process and analyze large-scale datasets.
- Continuous Innovation: Stay ahead of the curve by implementing the latest advancements in AI, machine learning, and fintech.
What We’re Looking For
Education & Skills:
- Bachelor’s degree in Data Science, Computer Science, Mathematics, or Engineering (Master’s preferred).
- Strong programming skills in Python, R, or SQL.
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Proficiency in data visualization tools like Tableau, Power BI, or Matplotlib.
Bonus Skills:
- Familiarity with cloud platforms like AWS, Azure, or Google Cloud.
- Knowledge of financial systems, trading algorithms, or investment strategies.
- Experience with big data technologies like Hadoop or Spark.
- Understanding of statistical modeling, natural language processing, and predictive analytics.
Mindset:
- Passionate about AI and its applications in fintech.
- A problem-solver who enjoys diving into complex challenges.
- Eager to learn and contribute to cutting-edge projects in a fast-paced startup environment.
Why You’ll Love This Role
- Purpose-Driven Work: Develop AI solutions that transform the financial industry.
- Learning Opportunities: Access mentorship, professional certifications, and the latest industry knowledge.
- Dynamic Team: Work with some of the brightest minds in AI and fintech.
- Flexibility: Hybrid work arrangements and generous leave policies to support work-life balance.
- Growth Potential: Be part of a rapidly scaling startup with room for personal and professional advancement.
- Perks That Matter: Bonuses, wellness stipends, and resources for professional growth.
Benefits
- Competitive performance-based bonuses.
- Professional development grants and learning opportunities.
- Flexible working hours and generous PTO policies.
- Monthly wellness stipends for mental health support and fitness.
- Collaborative and innovative team culture.
- Clear career progression pathways in a rapidly growing company.
- Hybrid working with state-of-the-art office facilities in Birmingham.
Ready to Apply?
If AI-driven innovation in fintech excites you, we’d love to hear from you.
📩 Click apply now or send your CV to dan.wotherspoon@intellectgroup.com.
Junior Data Science - AI Fintech employer: Intellect Group
Contact Detail:
Intellect Group 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 help you engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your programming skills by working on personal projects or contributing to open-source initiatives. Highlight these experiences in your discussions to demonstrate your practical knowledge of Python, R, or SQL.
✨Tip Number 3
Network with professionals in the AI and fintech sectors. Attend meetups, webinars, or conferences to connect with like-minded individuals and potential mentors who can provide insights and guidance on landing a role in this field.
✨Tip Number 4
Prepare for technical interviews by practicing coding challenges and data analysis problems. Use platforms like LeetCode or HackerRank to sharpen your skills, especially in machine learning frameworks and big data technologies.
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 and skills that align with the job description. Emphasize your programming skills in Python, R, or SQL, and any experience with machine learning frameworks.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and fintech. Discuss specific projects or experiences that demonstrate your problem-solving abilities and eagerness to learn in a fast-paced environment.
Showcase Relevant Projects: If you have worked on any projects related to data analysis, machine learning, or financial systems, be sure to include them in your application. Highlight your role and the impact of your contributions.
Highlight Continuous Learning: Mention any relevant certifications, courses, or workshops you have completed in AI, machine learning, or data science. This shows your commitment to staying updated with industry advancements.
How to prepare for a job interview at Intellect Group
✨Showcase Your Technical Skills
Be prepared to discuss your programming skills in Python, R, or SQL. Bring examples of 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 Ability
The company values a problem-solver mindset. Prepare to share specific instances where you've tackled complex challenges, especially in data analysis or algorithm refinement, and how your solutions made an impact.
✨Highlight Your Passion for AI and Fintech
Express your enthusiasm for AI applications in the financial sector. Discuss any relevant coursework, projects, or personal interests that align with the company's mission to revolutionize financial decision-making.
✨Prepare for Cross-Functional Collaboration Questions
Since the role involves working closely with product managers and engineers, think of examples where you've successfully collaborated in a team setting. Be ready to discuss how you communicate technical concepts to non-technical stakeholders.
