At a Glance
- Tasks: Develop and deploy advanced analytics and machine learning solutions to solve real-world business challenges.
- Company: Join a leading international professional services firm with a high-performing Analytics & Data Science team.
- Benefits: Competitive salary, opportunities for growth, and the chance to work with cutting-edge technologies.
- Other info: Dynamic environment with diverse projects and excellent career advancement opportunities.
- Why this job: Make a real impact by unlocking value from data and collaborating with talented specialists.
- Qualifications: 1-3 years of experience in data science, strong Python skills, and knowledge of machine learning methods.
The predicted salary is between 63000 - 77000 £ per year.
Campion Pickworth is partnering with a leading international professional services firm to hire a Data Scientist – Senior Consultant to join a high-performing Analytics & Data Science team. This is an opportunity to work at the forefront of Data Science, Machine Learning, Cloud Technologies and Generative AI, helping major organisations unlock value from their data and solve complex business challenges. You'll collaborate with talented specialists, work with modern technologies, and play a key role in delivering innovative solutions across a diverse project portfolio.
What You'll Do:
- Develop and deploy advanced analytics, data science, machine learning and agentic AI solutions across a variety of use cases.
- Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to extract actionable insights from complex datasets.
- Contribute to the design and implementation of scalable data science workflows and best practices.
- Collaborate with cross-functional stakeholders to understand business needs and translate them into effective analytical solutions.
- Support multiple projects from exploration through to deployment within cloud-based environments.
- Maintain high standards of code quality, documentation, and testing within a DevOps-oriented workflow.
- Apply strong knowledge of ML techniques, from supervised/unsupervised learning through to emerging methods in generative AI and large language models.
What We're Looking For:
Essential Skills & Experience
- Proven experience solving complex, real-world problems using data science and analytics.
- Strong Python skills (pandas, numpy, scikit-learn) with a solid grounding in probability and statistics.
- Deep understanding of machine learning methods and their practical application.
- Experience delivering multiple end-to-end data science projects across varied data types and business domains.
- Familiarity with DevOps practices and tools such as Git.
- Cloud experience (e.g., Azure, AWS) and working with ML platforms and services.
- Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders.
- Ability to align analytical outputs with broader business objectives.
- Someone with 1-3 years of industry experience.
Desirable Skills
- Experience using R and NLP or deep learning techniques (e.g., TF-IDF, word embeddings, CNNs, RNNs).
- Familiarity with generative AI and prompt engineering.
- Experience with Azure Databricks, MLflow, Azure ML services, Docker, or Kubernetes.
- Experience working in large, complex organisations or regulated industries.
*This role is unable to provide sponsorship*
Data Scientist in London employer: Campion Pickworth
As a leading global consulting firm, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. Located in the heart of London, we offer exceptional growth opportunities through diverse projects with major insurers, alongside comprehensive benefits that support both professional development and personal well-being. Join us to be part of a collaborative team that values innovation and excellence in delivering transformative solutions.
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We think this is how you could land Data Scientist in London
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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 Campion Pickworth.
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We think you need these skills to ace Data Scientist 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 Campion Pickworth, 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 Campion Pickworth. 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 Campion Pickworth
✨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!
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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 Campion Pickworth!
✨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.
