At a Glance
- Tasks: Lead innovative data science projects and solve complex business challenges.
- Company: Dynamic organisation focused on AI and data science solutions.
- Benefits: Competitive salary, bonus, comprehensive benefits, and hybrid working.
- Other info: Collaborative environment with significant technical ownership and growth opportunities.
- Why this job: Make a real impact with cutting-edge technology and mentor future talent.
- Qualifications: Proven experience in data science, strong Python skills, and creative problem-solving.
The predicted salary is between 56250 - 68750 £ per year.
Job ID
Location
London
Type
Full Time
Salary
Posted
Senior Data Scientist
Location
London – Hybrid (1 day per week in the office)
Salary
Job Type
Full-Time, Permanent
The Opportunity
We’re working with an organisation seeking an experienced
Senior Data Scientist to join its technical team and contribute to the development of innovative data science and AI solutions.
This is an opportunity for a highly capable technical professional who combines strong programming skills, advanced data science expertise and creative problem-solving abilities.
You’ll take ownership of complex technical challenges, designing and delivering projects from initial concept through to implementation.
You’ll also play an important role in shaping technical direction, supporting colleagues and establishing best practice across the team.
The successful candidate will bring demonstrable experience delivering complex projects, the ability to work independently in unfamiliar areas and the confidence to explore new approaches to solving business problems.
Key Responsibilities
- Lead the design and delivery of complex data science projects from initial concept through to implementation.
- Apply a broad range of data science, machine learning and AI techniques to solve challenging business problems.
- Evaluate different methodologies, understanding their strengths, weaknesses and suitability for specific applications.
- Develop innovative solutions using appropriate technical approaches rather than relying solely on predefined techniques or basic prompting.
- Design and implement proof of concepts to validate ideas and establish the best approach to complex problems.
- Break projects down into manageable phases, prioritising essential deliverables and identifying dependencies.
- Plan and deliver projects typically involving 1-2 team members over 3-6 months.
- Identify opportunities for AI and data science to enhance existing products, applications and business processes.
- Work closely with software engineers to integrate data science and AI capabilities into wider systems.
- Consider performance, scalability, efficiency and long-term maintainability when designing solutions.
- Ensure projects are developed with practical implementation and end-user requirements in mind.
- Mentor and support junior team members, providing technical guidance and helping establish best practice.
- Act as a technical expert within the team, supporting the team manager with complex technical decisions.
- Lead technical discussions and communicate complex concepts effectively to technical and non-technical stakeholders.
- Contribute new ideas, approaches and innovative thinking to improve team capability and business outcomes.
Essential Skills & Experience
- Proven experience as a Senior Data Scientist or in a comparable senior technical data science role.
- Strong programming skills, particularly Python, with experience developing robust and maintainable solutions.
- Demonstrable expertise in one or more areas of data science, machine learning or AI.
- Experience delivering multiple complex technical projects successfully.
- Strong understanding of data science methodologies and the ability to select appropriate techniques for different problems.
- Experience applying AI and machine learning techniques to real-world applications.
- Ability to independently investigate unfamiliar technical areas and develop logical, effective solutions.
- Experience designing projects, defining technical approaches and delivering proof of concepts.
- Strong understanding of data structures, data pipelines and production implementation considerations.
- Experience collaborating with software engineers and technical stakeholders.
- Ability to consider performance, scalability, resource utilisation and long-term sustainability.
- Experience mentoring, supporting or technically guiding other team members.
- Excellent communication skills, with the ability to explain complex technical concepts clearly.
- A proactive, creative and analytical approach to problem-solving.
Desirable Experience
- Generative AI and Large Language Models (LLMs).
- Retrieval-Augmented Generation (RAG).
- AI agents and agentic workflows.
- Machine Learning model development and deployment.
- Natural Language Processing (NLP).
- Advanced statistical modelling and predictive analytics.
- AI integration within existing software applications.
- Cloud-based AI and data science solutions.
- Model evaluation, testing and performance optimisation.
- MLOps and production AI deployment.
- Data engineering and pipeline development.
- Experience with AI frameworks such as Lang Chain, Llama Index or similar.
About You
You’ll be a technically strong and creative problem solver who enjoys tackling complex challenges and exploring new approaches.
You’ll have the confidence to take ownership of projects, make informed technical decisions and work independently without requiring detailed task-by-task direction.
You’ll understand that successful data science is not simply about developing models or experimenting with AI techniques.
It’s about building practical, scalable solutions that can be implemented effectively and deliver meaningful value to end users.
You’ll also enjoy supporting colleagues, sharing knowledge and contributing to the wider team’s technical development.
What’s on Offer?
- 60,000-75,000 salary, depending on experience.
- Bonus and comprehensive benefits package.
- Full-time permanent opportunity.
- Hybrid working – just 1 day per week in the London office.
- Opportunity to work on challenging data science and AI projects.
- Significant technical ownership and autonomy.
- Opportunity to mentor colleagues and influence technical best practice.
- Collaborative environment with opportunities for innovation and professional development.
Interested?
If you’re an experienced Senior Data Scientist looking for a role where you can combine hands-on technical expertise, creative problem-solving, project ownership and mentoring, we’d be keen to hear from you.
Senior Data Scientist
Location
London – Hybrid (1 day per week in the office)
Salary
Job Type
Full-Time, Permanent
The Opportunity
We’re working with an organisation seeking an experienced
Senior Data Scientist to join its technical team and contribute to the development of innovative data science and AI solutions.
This is an opportunity for a highly capable technical professional who combines strong programming skills, advanced data science expertise and creative problem-solving abilities.
You’ll take ownership of complex technical challenges, designing and delivering projects from initial concept through to implementation.
You’ll also play an important role in shaping technical direction, supporting colleagues and establishing best practice across the team.
The successful candidate will bring demonstrable experience delivering complex projects, the ability to work independently in unfamiliar areas and the confidence to explore new approaches to solving business problems.
Key Responsibilities
- Lead the design and delivery of complex data science projects from initial concept through to implementation.
- Apply a broad range of data science, machine learning and AI techniques to solve challenging business problems.
- Evaluate different methodologies, understanding their strengths, weaknesses and suitability for specific applications.
- Develop innovative solutions using appropriate technical approaches rather than relying solely on predefined techniques or basic prompting.
- Design and implement proof of concepts to validate ideas and establish the best approach to complex problems.
- Break projects down into manageable phases, prioritising essential deliverables and identifying dependencies.
- Plan and deliver projects typically involving 1-2 team members over 3-6 months.
- Identify opportunities for AI and data science to enhance existing products, applications and business processes.
- Work closely with software engineers to integrate data science and AI capabilities into wider systems.
- Consider performance, scalability, efficiency and long-term maintainability when designing solutions.
- Ensure projects are developed with practical implementation and end-user requirements in mind.
- Mentor and support junior team members, providing technical guidance and helping establish best practice.
- Act as a technical expert within the team, supporting the team manager with complex technical decisions.
- Lead technical discussions and communicate complex concepts effectively to technical and non-technical stakeholders.
- Contribute new ideas, approaches and innovative thinking to improve team capability and business outcomes.
Essential Skills & Experience
- Proven experience as a Senior Data Scientist or in a comparable senior technical data science role.
- Strong programming skills, particularly Python, with experience developing robust and maintainable solutions.
- Demonstrable expertise in one or more areas of data science, machine learning or AI.
- Experience delivering multiple complex technical projects successfully.
- Strong understanding of data science methodologies and the ability to select appropriate techniques for different problems.
- Experience applying AI and machine learning techniques to real-world applications.
- Ability to independently investigate unfamiliar technical areas and develop logical, effective solutions.
- Experience designing projects, defining technical approaches and delivering proof of concepts.
- Strong understanding of data structures, data pipelines and production implementation considerations.
- Experience collaborating with software engineers and technical stakeholders.
- Ability to consider performance, scalability, resource utilisation and long-term sustainability.
- Experience mentoring, supporting or technically guiding other team members.
- Excellent communication skills, with the ability to explain complex technical concepts clearly.
- A proactive, creative and analytical approach to problem-solving.
Desirable Experience
- Generative AI and Large Language Models (LLMs).
- Retrieval-Augmented Generation (RAG).
- AI agents and agentic workflows.
- Machine Learning model development and deployment.
- Natural Language Processing (NLP).
- Advanced statistical modelling and predictive analytics.
- AI integration within existing software applications.
- Cloud-based AI and data science solutions.
- Model evaluation, testing and performance optimisation.
- MLOps and production AI deployment.
- Data engineering and pipeline development.
- Experience with AI frameworks such as Lang Chain, Llama Index or similar.
About You
You’ll be a technically strong and creative problem solver who enjoys tackling complex challenges and exploring new approaches.
You’ll have the confidence to take ownership of projects, make informed technical decisions and work independently without requiring detailed task-by-task direction.
You’ll understand that successful data science is not simply about developing models or experimenting with AI techniques.
It’s about building practical, scalable solutions that can be implemented effectively and deliver meaningful value to end users.
You’ll also enjoy supporting colleagues, sharing knowledge and contributing to the wider team’s technical development.
What’s on Offer?
- 60,000-75,000 salary, depending on experience.
- Bonus and comprehensive benefits package.
- Full-time permanent opportunity.
- Hybrid working – just 1 day per week in the London office.
- Opportunity to work on challenging data science and AI projects.
- Significant technical ownership and autonomy.
- Opportunity to mentor colleagues and influence technical best practice.
- Collaborative environment with opportunities for innovation and professional development.
Interested?
If you’re an experienced Senior Data Scientist looking for a role where you can combine hands-on technical expertise, creative problem-solving, project ownership and mentoring, we’d be keen to hear from you.
Senior Data Scientist – Perm – Hybrid in London employer: Infused Solutions
Join a pioneering technology company in London that is at the forefront of AI innovation, offering a dynamic hybrid work environment and a competitive salary package. With a strong emphasis on employee growth, you will have the opportunity to lead cutting-edge projects while collaborating with a high-calibre engineering team. Enjoy excellent benefits, including 30 days of annual leave, equity options, and the chance to shape the future of AI-powered products.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist – Perm – Hybrid in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Infused Solutions!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Scientist – Perm – Hybrid at Infused Solutions.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Infused Solutions.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Scientist – Perm – Hybrid at Infused Solutions, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Scientist – Perm – Hybrid in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Infused Solutions, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Infused Solutions. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Infused Solutions
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Infused Solutions!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
