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- Tasks: As a Data Scientist, you'll develop predictive models and analyze data to drive insights.
- Company: Join a cutting-edge FinTech company transforming the industry with innovative data solutions.
- Benefits: Enjoy hybrid working, competitive salary, and a collaborative environment that fosters creativity.
- Why this job: This role offers a chance to make a real impact while working with advanced analytics and machine learning.
- Qualifications: A degree in a quantitative field and proficiency in Python or R are essential.
- Other info: Apply now and connect with the dcoded team for more details!
The predicted salary is between 40000 - 52000 £ per year.
Data Scientist | Northwest, UK – Hybrid working £50,000 – £65,000 Due to continuous growth and expansion one of our FinTech clients will be looking for Data Scientists in 2025. Join a cutting-edge FinTech company revolutionising the industry with data-driven insights and solutions. As a Data Scientist, you’ll harness advanced analytics and machine learning to solve complex challenges, enhance product offerings, and improve customer experiences. This is a unique opportunity to work in a collaborative environment that values creativity and impact. Key Responsibilities: * Develop and deploy predictive models to enhance decision-making processes. * Perform exploratory data analysis to uncover trends and insights. * Collaborate with cross-functional teams to integrate machine learning solutions into products. * Implement robust data pipelines and contribute to scalable data infrastructure. * Communicate findings to stakeholders in clear, actionable ways. What We’re Looking For: * A degree in a quantitative field (e.g., Data Science, Statistics, Mathematics, or Computer Science). * Proficiency in Python, R, or a similar programming language. * Strong experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn). * Expertise in SQL and data visualisation tools (e.g., Tableau, Power BI). * A track record of solving real-world business problems with data. Apply now and a member of the dcoded team will be in contact to discuss further
Data Scientist employer: dcoded
Contact Detail:
dcoded Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarize yourself with the latest trends in FinTech and data science. Understanding the specific challenges and innovations in this sector will help you stand out during discussions with our team.
✨Tip Number 2
Showcase your experience with machine learning frameworks by preparing a portfolio of projects. Highlight how you've applied these skills to solve real-world business problems, as this is crucial for the role.
✨Tip Number 3
Practice explaining complex data insights in simple terms. Being able to communicate your findings clearly to stakeholders is key, so consider doing mock presentations to refine this skill.
✨Tip Number 4
Network with professionals in the FinTech space. Engaging with others in the industry can provide valuable insights and potentially lead to referrals, making your application more noticeable.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the Data Scientist position. Highlight your relevant experience in predictive modeling, data analysis, and machine learning in your application.
Tailor Your CV: Customize your CV to reflect your skills in Python, R, SQL, and any machine learning frameworks you've used. Include specific examples of how you've solved real-world business problems with data.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your understanding of the FinTech industry. Mention how your background aligns with the company's goals and how you can contribute to their success.
Highlight Collaboration Skills: Since the role involves working with cross-functional teams, emphasize your teamwork and communication skills. Provide examples of past collaborations where you successfully integrated data solutions into products.
How to prepare for a job interview at dcoded
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Python, R, and machine learning frameworks like TensorFlow or Scikit-learn. Bring examples of projects where you've successfully applied these skills to solve real-world problems.
✨Demonstrate Your Analytical Thinking
During the interview, highlight your experience with exploratory data analysis. Discuss how you've uncovered trends and insights in past projects, and be ready to explain your thought process.
✨Collaborate Effectively
Since the role involves working with cross-functional teams, emphasize your teamwork skills. Share examples of how you've collaborated with others to integrate machine learning solutions into products.
✨Communicate Clearly
Practice explaining complex data findings in simple terms. Be ready to discuss how you would present your insights to stakeholders, ensuring they understand the actionable steps that can be taken based on your analysis.
