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- Tasks: Develop AI models and optimise machine learning algorithms to solve real business challenges.
- Company: Join a leading consulting firm driving innovation through technology and data-driven transformation.
- Benefits: Enjoy a collaborative environment, opportunities for growth, and the chance to work on impactful projects.
- Why this job: Be part of a forward-thinking team making meaningful change with cutting-edge AI solutions.
- Qualifications: 1-7 years in data science; Master’s or PhD in relevant fields; strong coding skills required.
- Other info: Ideal for those with a proactive mindset and a passion for problem-solving in tech.
The predicted salary is between 36000 - 60000 £ per year.
We are partnering with a leading consulting firm that is looking for a Data Scientist to join their team. This role offers the chance to work on innovative AI and data-driven transformation projects, helping businesses harness the power of technology to drive meaningful change.
About the Role:
As a Data Scientist, you will be responsible for developing AI models, analyzing complex datasets, and optimizing machine learning algorithms. You will collaborate with cross-functional teams to deliver high-impact solutions, guiding stakeholders through the data science process from model development to implementation.
Key Responsibilities:
- Develop AI models and machine learning algorithms to solve business challenges.
- Collect, clean, and preprocess large datasets to ensure accuracy and reliability.
- Implement and fine-tune machine learning models, optimizing performance through feature engineering.
- Work with programming languages such as Python, Java, or Scala to build and deploy solutions.
- Analyze and interpret model results, providing insights and recommendations to stakeholders.
- Collaborate with technical and business teams to align AI solutions with strategic objectives.
- Support and train clients on AI applications, ensuring smooth adoption and usage.
- Stay up to date with the latest advancements in data science and contribute to best practices within the team.
What You’ll Need:
- 1 to 7 years of experience in data science, AI, or machine learning.
- A Master’s or PhD in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field.
- Strong proficiency in machine learning techniques, including model training, testing, and feature selection.
- Experience with big data tools such as Spark and Hadoop.
- Hands-on coding experience in Python, Bash, and either Java or Scala.
- Knowledge of statistical methods and data visualization techniques.
- Familiarity with advanced algorithms, including tree-based models (Random Forests, XGBoost, LGBM) and deep learning.
- An analytical mindset with the ability to extract insights from complex datasets.
- Excellent communication skills, with the ability to explain technical concepts to both technical and non-technical audiences.
- A proactive, customer-focused approach to problem-solving.
Preferred Experience:
- Background in financial services.
- Exposure to startup environments or agile project methodologies.
This is an exciting opportunity to join a forward-thinking team where you’ll work on impactful AI solutions in a collaborative, fast-paced environment. If this sounds like the right fit for you, we’d love to hear from you!
Senior Data Scientist employer: Willing Care Recruitment
Contact Detail:
Willing Care Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network with professionals in the data science field, especially those who work in consulting or have experience with AI projects. Attend industry meetups or webinars to connect with potential colleagues and learn about their experiences.
✨Tip Number 2
Showcase your hands-on experience with machine learning algorithms and big data tools in conversations. Be prepared to discuss specific projects where you've implemented models or optimised algorithms, as this will demonstrate your practical skills.
✨Tip Number 3
Stay updated on the latest trends in AI and data science by following relevant blogs, podcasts, and research papers. This knowledge can help you engage in meaningful discussions during interviews and show your passion for the field.
✨Tip Number 4
Prepare to explain complex technical concepts in simple terms. Practising how to communicate your ideas clearly will be crucial, especially when discussing your work with stakeholders who may not have a technical background.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, AI, and machine learning. Emphasise your proficiency in programming languages like Python, Java, or Scala, and include specific projects that demonstrate your skills.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your understanding of the role. Mention how your background aligns with the company's goals and how you can contribute to their innovative projects.
Highlight Relevant Skills: In your application, clearly outline your experience with big data tools such as Spark and Hadoop, as well as your knowledge of statistical methods and data visualisation techniques. This will help you stand out as a strong candidate.
Showcase Communication Skills: Since the role requires explaining technical concepts to various audiences, provide examples in your application of how you've successfully communicated complex ideas in previous roles or projects.
How to prepare for a job interview at Willing Care Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with programming languages like Python, Java, or Scala. Bring examples of projects where you've developed AI models or optimised machine learning algorithms, as this will demonstrate your hands-on expertise.
✨Understand the Business Context
Research the consulting firm and understand their business model. Be ready to explain how your data science skills can solve specific challenges they face, showing that you can align technical solutions with strategic objectives.
✨Communicate Clearly
Practice explaining complex data science concepts in simple terms. You may need to communicate with both technical and non-technical stakeholders, so being able to convey your ideas clearly is crucial.
✨Stay Updated on Industry Trends
Familiarise yourself with the latest advancements in data science and AI. Mention any recent developments or tools you've been exploring, as this shows your commitment to continuous learning and staying relevant in the field.
