At a Glance
- Tasks: Develop and deploy advanced analytics and machine learning solutions for major organisations.
- Company: Join a leading international professional services firm with a high-performing Analytics team.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with exposure to cutting-edge technologies like Generative AI.
- Why this job: Work at the forefront of Data Science and make a real impact with innovative technologies.
- Qualifications: Strong Python skills and experience in data science projects are essential.
The predicted salary is between 60000 - 80000 £ 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, and machine learning 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.
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.
- Exposure to Agile development environments and software engineering best practices.
- Experience working in large, complex organisations or regulated industries.
- Strong working knowledge of Excel, SQL, Power BI, and Tableau.
Data Scientist – Senior Consultant in Swindon employer: Campion Pickworth
Campion Pickworth offers an exceptional work environment for Data Scientists, fostering a culture of innovation and collaboration within a leading international professional services firm. Employees benefit from access to cutting-edge technologies and diverse projects that promote continuous learning and professional growth, all while working alongside talented specialists in a supportive atmosphere. Located in a dynamic setting, this role provides the unique opportunity to make a significant impact on major organisations by unlocking value from their data.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist – Senior Consultant in Swindon
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on platforms like LinkedIn. We can’t stress enough how important it is to make those personal connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those using Python, R, or machine learning techniques. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and practising common data science interview questions. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! It’s a great way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Scientist – Senior Consultant in Swindon
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your Python, machine learning, and cloud experience to show us you’re the right fit for our Data Scientist role.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about data science and how your background aligns with our needs. Share specific examples of projects you've worked on that demonstrate your problem-solving skills.
Showcase Your Projects:If you’ve got a portfolio of data science projects, don’t hesitate to share it! We love seeing real-world applications of your skills, especially if they involve the technologies we use like Azure or Databricks.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our Analytics & Data Science team!
How to prepare for a job interview at Campion Pickworth
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, R, and Azure. Brush up on your skills with libraries like pandas and scikit-learn, and be ready to discuss how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of complex problems you've solved using data science. Highlight your thought process and the impact of your solutions on business outcomes to demonstrate your analytical prowess.
✨Communicate Clearly
Practice explaining technical concepts in simple terms. You’ll likely need to communicate with non-technical stakeholders, so being able to break down complex ideas will show your versatility and understanding of the business context.
✨Familiarise Yourself with DevOps Practices
Since the role involves maintaining high standards of code quality and documentation, brush up on DevOps tools and practices. Be prepared to discuss your experience with Git and cloud environments, as well as how you ensure smooth deployment processes.
