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- Tasks: Transform financial data into actionable insights using Python and Data Science techniques.
- Company: Join a leading organisation in the financial sector, located in Canary Wharf, London.
- Benefits: Enjoy hybrid working with 3 days onsite and a supportive, inclusive environment.
- Why this job: Be part of a dynamic team shaping the future of data science in finance.
- Qualifications: PhD or Master's in a relevant field with 5 years of experience in Data Science.
- Other info: Adecco is committed to an inclusive recruitment process for all candidates.
The predicted salary is between 43200 - 72000 £ per year.
Contract Type: Contract To Perm (inside IR35 via umbrella)
Location: Canary Wharf, London (4 minutes walk from Canary Wharf train station)
Work Arrangement: Hybrid Working - 3 days onsite
Are you a passionate Python Developer with a strong background in Data Science? Do you thrive in an agile environment and want to play a pivotal role in transforming financial data into actionable insights? Our client, a leading organisation in the financial sector, is seeking an experienced Python - Data Science Developer to join their dynamic Technology team.
Key Responsibilities:
- Develop and coordinate plans for analytical initiatives, ensuring alignment with business objectives.
- Manage deliverables in an agile setting, maintaining clear communication with all stakeholders.
- Present analytical findings, status updates, and potential issues to various audience groups, including business, technology management, and model governance.
- Conduct data modelling and cleaning from both internal and external sources to ensure data integrity.
- Build predictive and prescriptive models, utilising advanced techniques to manipulate and clean data results.
- Develop, manage, and deploy analytical solutions using Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs), ensuring production systems adhere to technology SDLC processes.
- Implement features through the full ML lifecycle, including Development, Testing, Training, and Monitoring/Evaluation to guarantee scalability and reliability.
Qualifications:
- PhD or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
- A minimum of 5 years of industry experience as a Data Scientist, specialising in ML Modelling, Ranking, Recommendations, or Personalization systems.
- Proven experience in designing and developing scalable machine learning systems for training, inference, monitoring, and iteration.
- Strong understanding of ML/DL/LLM algorithms, model architectures, and training methodologies.
- Proficient in Python, SQL, Spark, PySpark, TensorFlow, or other analytical/model-building programming languages.
- Familiarity with tools and Large Language Models (LLMs).
- Ability to work both independently and collaboratively within a team.
Preferred Skills:
- Experience in Generative AI (GenAI) and LLM projects.
- Familiarity with distributed data/computing tools (e.g., Hadoop, Hive, Spark, MySQL).
- Background in the financial industry, particularly in banking and risk management.
- Knowledge of capital markets, financial instruments, and modelling techniques.
Education:
- Bachelor's degree or equivalent experience in a STEM field.
Join us in shaping the future of data science in finance! Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Python/Data Science Developer employer: Adecco
Contact Detail:
Adecco Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python/Data Science Developer
✨Tip Number 1
Network with professionals in the financial sector, especially those who work with data science and Python. Attend industry meetups or webinars to connect with potential colleagues and learn about the latest trends in the field.
✨Tip Number 2
Showcase your expertise in machine learning and data science by contributing to open-source projects or creating your own portfolio of projects. This will demonstrate your practical skills and passion for the field to potential employers.
✨Tip Number 3
Prepare for technical interviews by practising coding challenges and data science problems relevant to the financial industry. Familiarise yourself with common algorithms and their applications in finance to impress during discussions.
✨Tip Number 4
Stay updated on the latest advancements in generative AI and large language models, as these are preferred skills for this role. Follow relevant blogs, podcasts, or online courses to enhance your knowledge and make yourself a more attractive candidate.
We think you need these skills to ace Python/Data Science Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, Data Science, and any relevant machine learning projects. Use specific examples that demonstrate your skills in data modelling, cleaning, and analytical solutions.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your understanding of the financial sector. Mention how your background aligns with the key responsibilities outlined in the job description.
Highlight Relevant Qualifications: Clearly state your educational qualifications, especially if you have a PhD or Master's degree in a related field. Emphasise your industry experience, particularly in ML modelling and scalable systems.
Showcase Soft Skills: In addition to technical skills, highlight your ability to work in an agile environment and communicate effectively with stakeholders. Provide examples of how you've managed deliverables and presented findings in previous roles.
How to prepare for a job interview at Adecco
✨Showcase Your Python Skills
Be prepared to discuss your experience with Python in detail. Highlight specific projects where you've used Python for data science, and be ready to demonstrate your coding skills, as practical tests may be part of the interview process.
✨Understand the Financial Sector
Familiarise yourself with key concepts in finance, especially those related to data science applications. Being able to discuss how your work can impact financial decision-making will show your potential employer that you understand their industry.
✨Prepare for Agile Methodologies
Since the role involves working in an agile environment, be ready to discuss your experience with agile practices. Share examples of how you've managed deliverables and communicated with stakeholders in previous roles.
✨Demonstrate Your Analytical Thinking
Be prepared to present analytical findings from past projects. Use clear examples to illustrate how you approached data modelling, cleaning, and building predictive models, showcasing your problem-solving skills and attention to detail.
