At a Glance
- Tasks: Analyse data to uncover trends and drive strategic decisions.
- Company: Fast-growing organisation in business services and technology.
- Benefits: Competitive salary, hybrid work model, and career development opportunities.
- Other info: Collaborative environment with clear pathways for growth.
- Why this job: Shape the future of a company through impactful data insights.
- Qualifications: Master’s degree in a quantitative field and proficiency in analytical tools.
The predicted salary is between 28000 - 38000 £ per year.
Location: London, UK (Hybrid)
Intellect Group is partnering with a fast-growing organisation in the business services and technology space to hire a talented, analytically driven Graduate Data Scientist. This is an excellent opportunity for a graduate with a Master’s degree in Mathematics, Data Science, Statistics, or a related field to play a key strategic role in shaping the company’s future direction through the power of data.
The successful candidate will analyse both internal and external datasets to uncover market trends, emerging industry patterns, and new commercial opportunities. Working closely with stakeholders and senior leadership, you will translate complex data into clear, actionable insights that influence business strategy, product innovation, and potential new verticals.
- Analyse complex datasets to identify trends, patterns, risks, and opportunities across relevant markets.
- Build models, forecasts, and dashboards to support strategic planning and commercial decision-making.
- Carry out market and competitor analysis to highlight potential growth areas and business opportunities.
- Engage with stakeholders across multiple departments to understand data requirements and deliver insightful analysis.
- Work collaboratively with cross-functional teams to champion data-driven thinking.
- Maintain high data quality standards and document analytical approaches.
Requirements:
- Master’s degree in Mathematics, Data Science, Statistics, Computer Science, or another quantitative discipline.
- Proficiency with analytical tools and languages such as Python, R, or SQL.
- Experience with data visualisation tools (e.g. Power BI, Tableau).
- Prior experience in market analysis, commercial insight, or strategy-focused analytical roles (internships welcome).
- Knowledge of predictive modelling or machine learning techniques.
- Experience with cloud-based analytics platforms or big data technologies.
The chance to influence strategic business growth and direction through data-driven insights. Clear career development pathways and ongoing training opportunities. A competitive salary and benefits package, with a London-based hybrid working model.
Data Scientist and Machine Learning in London employer: Intellect Group
Intellect Group is an exceptional employer that fosters a dynamic and collaborative work culture, ideal for graduates eager to make a significant impact in the business services and technology sector. With a strong emphasis on employee growth, the company offers clear career development pathways and ongoing training opportunities, alongside a competitive salary and benefits package. The hybrid working model in London not only promotes work-life balance but also allows you to engage with diverse teams and stakeholders, making your role as a Data Scientist both meaningful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist and Machine Learning in London
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like Intellect Group when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like Intellect Group.
✨Networking Through University Career Services
Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like Intellect Group.
✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through Intellect Group’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Data Scientist and Machine Learning in London
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Intellect Group, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at Intellect Group aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at Intellect Group
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
