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For Companies At a Glance
- Tasks: Analyze complex datasets and develop machine learning models to solve real-world business problems.
- Company: Join a dynamic London-based team focused on innovative data-driven solutions.
- Benefits: Enjoy a competitive salary, hybrid working, and opportunities for career growth.
- Why this job: Elevate your career in a collaborative environment with cutting-edge technology and mentorship.
- Qualifications: 2-3 years of experience in data science, proficiency in Python or R, and strong communication skills.
- Other info: Flexible start date and additional perks like private healthcare and wellbeing initiatives.
The predicted salary is between 55000 - 65000 £ per year.
Senior Data Scientist – Hybrid (London)
📍 Location: London, UK (Hybrid Working)
💰 Salary: £55,000 – £65,000 + Bonus
🕒 Start Date: Flexible
Are you a Data Scientist with 2-3 years of experience, looking to elevate your career? We are seeking a Senior Data Scientist to join our London-based team, where you will play a key role in developing advanced machine learning models and data-driven solutions to solve complex business problems across diverse sectors. This is an exciting opportunity to work in a dynamic and collaborative environment.
Key Responsibilities
🔍 Data Analysis & Modelling: Analyse large, complex datasets to extract meaningful insights and optimise business strategies. Design and deploy machine learning models to support predictive analytics and optimisation.
🤖 Machine Learning Development: Build and implement machine learning models, including supervised and unsupervised learning, deep learning, and recommendation systems.
📊 Data Visualisation & Reporting: Create intuitive dashboards and reports that communicate complex technical findings to both technical and non-technical stakeholders.
🤝 Collaboration: Work closely with cross-functional teams, including engineering, product, and business leaders, to deliver data-driven solutions that drive business outcomes.
🚀 Innovation & Research: Stay up to date with the latest advancements in AI, machine learning, and data science, and apply them to real-world business challenges.
🌍 Mentorship: Support the development of junior team members, fostering a collaborative learning environment.
Skills & Experience Required
- A degree in a STEM field (Mathematics, Computer Science, Statistics, Engineering, or related), with 2-3 years of experience in data science or machine learning.
- Proficiency in Python (preferred) or R, with experience in SQL for data manipulation and analysis.
- Strong understanding of machine learning algorithms and frameworks like scikit-learn, TensorFlow, or PyTorch.
- Experience with cloud platforms (AWS, GCP, or Azure) for model deployment and data processing.
- Proficiency in data visualisation tools such as Tableau, Power BI, or Matplotlib.
- Experience with big data technologies such as Spark or Hadoop is a plus.
- Excellent communication skills, with the ability to present technical concepts to non-technical audiences.
Desirable Skills
- Experience with Natural Language Processing (NLP), computer vision, or time series forecasting.
- Familiarity with model optimisation and hyperparameter tuning.
- Exposure to deployment pipelines, CI/CD for machine learning models, and version control (e.g., Git).
- Knowledge of containerisation tools like Docker or Kubernetes.
- Experience in industries such as finance, healthcare, e-commerce, or energy.
Benefits
💰 Competitive Salary & Bonus: £55,000 – £65,000, plus performance-based bonuses.
🏡 Hybrid Working: Flexible mix of office and remote work.
📈 Career Growth: Clear career progression, with opportunities for mentorship and professional development.
🛠 Cutting-Edge Technology: Work with the latest tools and technologies in data science and machine learning.
🤝 Collaborative Environment: Join a forward-thinking, innovative team.
✨ Additional Perks: Pension scheme, private healthcare, wellbeing initiatives, and more.
How to Apply
Submit your CV now, and I’ll be in touch to arrange a convenient time to discuss the role and your career aspirations.
Senior Data Scientist employer: Intellect Group
Contact Detail:
Intellect Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Make sure to showcase your experience with machine learning models during the interview. Be prepared to discuss specific projects where you've implemented algorithms and the impact they had on business outcomes.
✨Tip Number 2
Familiarize yourself with the latest advancements in AI and data science. Being able to discuss recent trends or technologies can demonstrate your passion for the field and your commitment to continuous learning.
✨Tip Number 3
Practice explaining complex technical concepts in simple terms. Since you'll be communicating with non-technical stakeholders, being able to convey your findings clearly will set you apart from other candidates.
✨Tip Number 4
Network with professionals in the data science community, especially those who work in industries relevant to StudySmarter. This can provide valuable insights and potentially lead to referrals that enhance your application.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in data science and machine learning. Focus on specific projects where you've built models or analyzed complex datasets, and quantify your achievements where possible.
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 skills align with the key responsibilities listed in the job description, particularly in machine learning development and data visualization.
Showcase Technical Skills: In your application, emphasize your proficiency in Python or R, SQL, and any relevant machine learning frameworks like TensorFlow or PyTorch. Include examples of how you've used these tools in past projects.
Prepare for Interviews: Be ready to discuss your previous work in detail, especially your experience with data analysis, model deployment, and collaboration with cross-functional teams. Prepare to explain complex technical concepts in a way that non-technical stakeholders can understand.
How to prepare for a job interview at Intellect Group
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and machine learning frameworks like scikit-learn or TensorFlow. Bring examples of projects where you've successfully implemented these technologies.
✨Communicate Complex Ideas Simply
Since you'll be presenting technical findings to non-technical stakeholders, practice explaining your past projects in a way that's easy to understand. Use analogies or simple terms to convey complex concepts.
✨Demonstrate Collaboration Experience
Highlight instances where you've worked with cross-functional teams. Discuss how you contributed to team goals and how you handled any challenges that arose during collaboration.
✨Stay Updated on Industry Trends
Research the latest advancements in AI and machine learning. Be ready to discuss how you can apply these trends to real-world business challenges, showing your passion for continuous learning and innovation.
