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- Tasks: Design and build machine learning models to tackle real-world challenges.
- Company: Join a fast-growing team at the forefront of data science and AI.
- Benefits: Enjoy a competitive salary, hybrid working, and additional perks like private healthcare.
- Why this job: Make a meaningful impact while collaborating with experts in a supportive culture.
- Qualifications: Must have a Master’s degree in a relevant field and strong Python skills.
- Other info: This role is ideal for recent graduates eager to apply their knowledge.
The predicted salary is between 28000 - 36000 £ per year.
Role : Junior Data Scientist
Location : London, UK (Hybrid)
Salary : £35k-£45k (DOE)
Are you passionate about data and finance? Join a revolutionary financial services company in the heart of London, where you'll help over 200,000 businesses across the UK and Europe navigate challenges and boost profitability.
My client is looking for a Junior Data Scientist eager to apply their analytical and modeling skills to provide insight and drive impactful business decisions.
Your Responsibilities:
- Analyse complex datasets: Work with large volumes of financial data to identify trends, patterns, and insights that drive strategic decisions.
- Support predictive modeling: Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes.
- Develop data-driven solutions: Create algorithms and tools that automate and enhance decision-making across the company.
- Collaborate with cross-functional teams: Work closely with finance, product, and technology teams to align data science initiatives with business goals.
- Visualise data insights: Build and maintain interactive dashboards and visualisations that provide clear, actionable insights for stakeholders.
Requirements :
- Bachelor’s degree in a STEM field: Preferred disciplines include Statistics, Mathematics, Computer Science, Engineering, or related fields.
- Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling.
- Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting.
- Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to present data effectively.
- Strong analytical skills: Ability to interpret complex data and communicate findings clearly to both technical and non-technical audiences.
It's A Bonus If You Have:
- Experience in finance: Prior exposure to financial data or working in a financial services environment is a plus.
- Curiosity and drive: A passion for learning and staying updated with the latest trends in data science and finance.
- Problem-solving mindset: Ability to think critically and approach challenges with innovative solutions.
The Benefits:
- Growth opportunities: Be part of a fast-growing company with ample opportunities for career advancement.
- Innovative work environment: Work with a team that values creativity, collaboration, and continuous learning.
- Cutting-edge tools and technologies: Access to the latest data science tools to help you excel in your role.
- Competitive compensation: A salary that reflects your skills and experience, along with performance-based bonuses.
If you’re a motivated Junior Data Scientist with a passion for finance and data-driven decision-making, we want to hear from you. Apply now to join our team and be part of shaping the future of the finance industry.
Contact Detail:
Intellect Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Scientist
✨Tip Number 1
Network with professionals in the data science field, especially those who work at StudySmarter or similar companies. Attend industry meetups, webinars, or conferences to make connections and learn more about the role.
✨Tip Number 2
Showcase your projects on platforms like GitHub or personal websites. Highlight any machine learning models or data analysis projects you've completed during your Master's, as this will demonstrate your practical skills and passion for the field.
✨Tip Number 3
Prepare to discuss your understanding of machine learning concepts and your experience with Python and SQL during interviews. Be ready to explain how you've applied these skills in real-world scenarios or academic projects.
✨Tip Number 4
Stay updated on the latest trends in data science and AI. Being knowledgeable about recent advancements can help you engage in meaningful discussions during interviews and show your enthusiasm for continuous learning.
We think you need these skills to ace Junior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that align with the Junior Data Scientist role. Emphasise your programming skills in Python, any projects involving machine learning, and your academic achievements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your eagerness to solve real-world problems. Mention specific projects or experiences that demonstrate your understanding of machine learning concepts and your ability to collaborate effectively.
Highlight Relevant Coursework: In your application, include any relevant coursework from your Master’s degree that pertains to data science, machine learning, or statistics. This will help demonstrate your academic foundation and readiness for the role.
Showcase Communication Skills: Since the role involves presenting findings to both technical and non-technical stakeholders, provide examples in your application of how you've effectively communicated complex ideas in the past, whether through presentations, reports, or collaborative projects.
How to prepare for a job interview at Intellect Group
✨Showcase Your Technical Skills
Be prepared to discuss your programming skills in Python and any experience you have with libraries like NumPy, pandas, and scikit-learn. Bring examples of projects or coursework where you've applied these skills, as this will demonstrate your practical knowledge.
✨Understand the Role's Requirements
Familiarise yourself with the core responsibilities of a Junior Data Scientist. Be ready to explain how your academic background and any relevant experience align with tasks such as data cleaning, model building, and presenting findings to stakeholders.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities. Practice explaining your thought process when tackling complex datasets or designing machine learning models, as this will highlight your analytical skills and creativity.
✨Demonstrate Your Passion for Learning
Convey your enthusiasm for staying current with advancements in data science and AI. Share any recent articles, courses, or projects that showcase your commitment to continuous learning and how you plan to contribute new ideas to the team.
