At a Glance
- Tasks: Develop and deploy machine learning models to tackle real-world business challenges.
- Company: Join a leading tech organisation focused on data, AI, and innovation.
- Benefits: Enjoy a competitive salary, hybrid working, private healthcare, and career progression.
- Other info: Collaborative environment with opportunities to work on cutting-edge AI projects.
- Why this job: Shape the future of data science while making impactful decisions.
- Qualifications: Experience in Data Science, strong Python and SQL skills, and a relevant degree.
The predicted salary is between 85000 - 95000 £ per year.
We are partnering with a highly regarded, technology-driven organisation that is investing heavily in data, machine learning, and AI capabilities. As part of this growth, we are looking to appoint a Senior Data Scientist to play a key role in developing predictive models, delivering commercial insights, and helping shape the future direction of the data science function.
We are looking to hire a Senior Data Scientist to work on large-scale, complex datasets within a business where data-driven decision making sits at the heart of strategy. You will partner closely with stakeholders across the organisation, taking ownership of projects from initial problem definition through to model deployment and performance monitoring.
The Senior Data Scientist MUST have:
- Several years of hands-on Data Science experience within a commercial environment
- Strong Python and SQL skills
- Experience developing and deploying machine learning models into production environments
- Excellent understanding of statistical modelling, experimentation, and model evaluation
- Strong feature engineering and exploratory data analysis capabilities
- Experience communicating technical findings and insights to non-technical stakeholders
- A degree qualification (BSc, MSc, PhD etc.) in Data Science, Mathematics, Statistics, Physics, Computer Science, or a similar quantitative discipline
The Senior Data Scientist will ideally have the following attributes:
- Experience working with large-scale transactional, behavioural, or operational datasets
- Experience with cloud platforms such as Azure, AWS, or GCP
- Knowledge of MLOps, model monitoring, and deployment frameworks
- Exposure to Generative AI, Large Language Models (LLMs), or modern AI workflows
- Strong commercial awareness and the ability to translate business challenges into analytical solutions
- Experience influencing stakeholders and supporting strategic decision-making
- Excellent communication skills (both verbal and written)
- A proactive and problem-solving mindset with a passion for data and innovation
The Senior Data Scientist role will involve:
- Developing and deploying machine learning models to solve real-world business challenges
- Performing exploratory data analysis, feature engineering, model development, and evaluation
- Building forecasting, classification, segmentation, and predictive modelling solutions
- Designing and executing statistical analyses and experiments to support strategic decision-making
- Translating complex analytical findings into clear recommendations for senior stakeholders
- Working closely with engineering and business teams to productionise data science solutions
- Contributing to best practices across model governance, monitoring, and deployment
- Supporting the adoption of modern AI and machine learning techniques where appropriate
If you are interested in this position, please apply with an up-to-date CV as soon as possible, along with your availability and salary expectations.
Senior Data Scientist employer: Halian Technology
Join a forward-thinking, technology-driven organisation in London that prioritises data and innovation, offering a dynamic work culture where your contributions as a Senior Data Scientist will directly influence strategic decisions. With a strong emphasis on employee growth, you will benefit from a generous learning and development budget, hybrid working options, and a supportive environment that fosters collaboration and creativity. This is an exceptional opportunity to advance your career while working on cutting-edge projects in a vibrant city.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist
✨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 Halian Technology!
✨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 at Halian Technology.
✨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 Halian Technology.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Scientist at Halian Technology, 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
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 Halian Technology, 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 Halian Technology. 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 Halian Technology
✨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 Halian Technology!
✨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.
