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- Tasks: Lead the development of NLP models and build a data science team from scratch.
- Company: Join a leading financial services company in London with a hybrid work model.
- Benefits: Enjoy a competitive salary up to £150,000 and flexible working arrangements.
- Why this job: Be at the forefront of data innovation, driving impactful business insights and strategies.
- Qualifications: NLP specialist with 5+ years in quantitative analytics and fluency in Python or similar languages.
- Other info: Ideal for those who thrive in startup environments and love tackling complex data challenges.
The predicted salary is between 90000 - 210000 £ per year.
Natural Language Processing / Deep Learning / NLP / Python / Leadership Role: Lead Data Scientist (NLP) Company: Financial Services Location: London – Hybrid Salary: up to £150,000 The ideal candidate’s favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Developing NLP models and leading the strategy behind the models. Building a team from scratch Introducing data science to the business Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications NLP specialist Bachelor’s degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) Experience in startup environments At least 5 years’ of experience in quantitative analytics or data modeling Deep understanding of Deep Learning, predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau) Natural Language Processing / Deep Learning / NLP / Python / Leadership
Lead Data Scientist employer: Tiro Partners Limited
Contact Detail:
Tiro Partners Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist
✨Tip Number 1
Make sure to showcase your experience in leading teams and projects. Highlight any instances where you've successfully built a team or led a project from inception to completion, especially in the context of NLP or data science.
✨Tip Number 2
Demonstrate your technical expertise by discussing specific NLP models or algorithms you've developed. Be prepared to explain your thought process and the impact these models had on previous projects.
✨Tip Number 3
Familiarize yourself with the latest trends and advancements in NLP and deep learning. Being able to discuss recent developments or innovations in the field can set you apart during discussions.
✨Tip Number 4
Network with professionals in the financial services sector who are working on data science projects. Engaging with this community can provide insights into the industry and potentially lead to referrals.
We think you need these skills to ace Lead Data Scientist
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience in Natural Language Processing and Deep Learning. Provide specific examples of projects you've worked on, particularly those that demonstrate your ability to lead and develop NLP models.
Showcase Leadership Skills: Since this is a leadership role, it's crucial to illustrate your leadership capabilities. Discuss any previous experiences where you built or led a team, and how you fostered collaboration and innovation within that team.
Tailor Your CV: Customize your CV to reflect the skills and qualifications mentioned in the job description. Use keywords like 'data', 'agility', and 'scalable prediction algorithms' to align your application with the company's needs.
Craft a Compelling Cover Letter: Write a cover letter that not only summarizes your qualifications but also conveys your passion for data science and NLP. Explain why you're excited about the opportunity to work in the financial services sector and how you can contribute to the company's success.
How to prepare for a job interview at Tiro Partners Limited
✨Showcase Your NLP Expertise
Be prepared to discuss your experience with Natural Language Processing in detail. Highlight specific projects where you've developed NLP models, and be ready to explain the strategies you implemented and the outcomes achieved.
✨Demonstrate Leadership Skills
Since this is a leadership role, emphasize your experience in building and leading teams. Share examples of how you've successfully managed projects and collaborated with cross-functional teams to drive results.
✨Discuss Data Quality and Analysis
Prepare to talk about your approach to assessing data quality and cleansing raw data. Discuss any frameworks or methodologies you use to ensure data integrity before analysis, as this is crucial for developing accurate models.
✨Familiarize Yourself with Big Data Tools
Make sure you are well-versed in the Big Data frameworks mentioned in the job description, such as Hadoop and Spark. Be ready to discuss how you've used these tools in past projects to enhance data processing and visualization.
