Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design, develop, and deploy cutting-edge data science solutions with a collaborative team.
- Company: Join ADSP, a forward-thinking company dedicated to innovative data science and AI solutions.
- Benefits: Enjoy a supportive work culture, opportunities for learning, and the chance to make a real impact.
- Why this job: Be part of a close-knit team where your work directly influences client success and business growth.
- Qualifications: Degree in a quantitative field; experience in machine learning and Python is essential.
- Other info: Inclusive hiring process; reach out for any adjustments needed during application.
The predicted salary is between 48000 - 84000 £ per year.
We are looking for a Senior Data Scientist who enjoys seeing their work used as part of ‘real-life’ solutions. Not only will your work directly contribute to our client deliverables, but you will have the opportunity to see the process through from solution design to deployment, working in close collaboration with our wider team of Data Engineers and Data Analysts.
In short, you'll form an integral part of our close-knit team and will have the opportunity to directly contribute to the continued success of the business. We're looking for someone with a cooperative, can-do attitude who can build high-quality data science solutions.
If this sounds like you, we can't wait to hear from you!
KEY RESPONSIBILITIES:
- Actively contribute to the design, development, testing, and evaluation of data science solutions
- Train and deploy state-of-the-art machine learning and reinforcement learning models
- Build AI systems using Large Language Models
- Build processes for extracting, cleaning and transforming data (SQL / Python)
- Ad-hoc data mining for insights using Python + Jupyter notebooks
- Present insights and predictions in live dashboards using Tableau / PowerBI
- Lead the presentation of findings to clients through written documentation, calls, and presentations
- Actively seek out new opportunities to learn and develop
- Be an example of data science best-practice (e.g., Git / Docker / cloud deployment)
- Contribute to proposals for exciting new data science opportunities
- Provide direction and mentoring to more junior data scientists
REQUIRED SKILLS:
- Degree in a quantitative field such as mathematics, statistics or data science (PhD in physics highly desirable)
- Experience of presenting technical concepts to stakeholders
- Experience of proactively contributing to the design, development, testing, and deployment of data science and AI solutions
- Experience and understanding of applied machine learning techniques in Python (e.g., xgboost, regression, decision trees)
- Experience with physics modelling highly desirable
- Practical knowledge and experience of developing AI solutions using advanced machine learning techniques (e.g., reinforcement learning, deep learning)
- Experience of working collaboratively as part of a data science team, using tools like Git to adhere to established data science and AI best practices
- Experience of using different analysis techniques to draw insight from data, using tools such as Python and SQL
- Excellent Python skills, including relevant libraries for data analysis and machine learning (e.g., sklearn, Pandas, NumPy) and at least one deep learning framework
- Excellent communication skills through written reports and presentations
- Organisational skills (e.g., planning, time management)
- Strong problem-solving and analytical skills
- High attention to detail
- Ability to work independently and as part of a team
INTERVIEW PROCESS:
Stage 1: 20 min video call with the Hiring Manager
Stage 2: 90 min F2F interview including technical exercise, in our London office
OUR COMMITMENT TO DEI:
At ADSP, we are committed to fostering an inclusive hiring process and believe in creating an environment where all candidates have equal opportunities to succeed. If you require any reasonable adjustments during the application or interview process, please do not hesitate to reach out to us at careers@adsp.ai
#J-18808-Ljbffr
Senior Data Scientist Data Science Team · London, UK · (London) employer: Applied Data Science Partners
Contact Detail:
Applied Data Science Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist Data Science Team · London, UK · (London)
✨Tip Number 1
Familiarise yourself with the latest trends in data science and AI, especially in areas like reinforcement learning and large language models. This knowledge will not only help you during the interview but also demonstrate your passion for the field.
✨Tip Number 2
Prepare to discuss your previous projects in detail, particularly those that involved collaboration with other team members. Highlight how you contributed to the design and deployment of data science solutions, as teamwork is crucial for this role.
✨Tip Number 3
Practice explaining complex technical concepts in simple terms. Since you'll be presenting findings to clients, being able to communicate effectively with non-technical stakeholders is key to success in this position.
✨Tip Number 4
Showcase your organisational skills by preparing a structured approach to problem-solving. During the interview, be ready to discuss how you manage your time and resources when tackling data science challenges.
We think you need these skills to ace Senior Data Scientist Data Science Team · London, UK · (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly in machine learning and AI solutions. Emphasise your skills in Python, SQL, and any specific tools mentioned in the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your enthusiasm for the role and the company. Mention specific projects or experiences that align with the responsibilities listed, such as presenting insights or collaborating with teams.
Showcase Your Technical Skills: In your application, include examples of your work with machine learning models, data analysis, and any relevant programming languages. If you have experience with tools like Tableau or PowerBI, make sure to highlight that.
Prepare for the Interview: Anticipate questions related to your technical expertise and problem-solving abilities. Be ready to discuss your previous projects and how they relate to the responsibilities of the Senior Data Scientist role.
How to prepare for a job interview at Applied Data Science Partners
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning techniques and tools like Python, SQL, and relevant libraries. Bring examples of past projects where you've successfully implemented these skills, as this will demonstrate your capability to contribute to the team's goals.
✨Communicate Clearly
Since you'll be presenting findings to clients, practice explaining complex technical concepts in simple terms. Use clear and concise language during your interview to show that you can effectively communicate insights to stakeholders.
✨Demonstrate Team Collaboration
Highlight your experience working in a team environment, especially in data science projects. Discuss how you've collaborated with Data Engineers and Analysts in the past, as this role requires a cooperative attitude and teamwork.
✨Prepare for Technical Exercises
Expect a technical exercise during the face-to-face interview. Brush up on your problem-solving skills and be ready to tackle real-world data science challenges. Practising with similar exercises beforehand can help you feel more confident.
