At a Glance
- Tasks: Deliver analytics and machine learning models while collaborating on exciting client projects.
- Company: Global strategy consultancy with a focus on innovation and growth.
- Benefits: Competitive salary, sign-on bonus, hybrid working model, and professional development opportunities.
- Other info: Supportive environment with early project ownership and career advancement potential.
- Why this job: Gain diverse industry exposure and develop consulting skills from day one.
- Qualifications: Strong academic background in data science or related fields.
The predicted salary is between 43200 - 66000 £ per year.
Do you want exposure to multiple industries within your first year in Data Science? Have you ever wanted to apply machine learning in real client-facing commercial settings? Are you ready to build consulting skills alongside technical depth from day one?
A global strategy consultancy is hiring a Data Science Analyst into its London-based Data & Analytics team. The group supports clients across life sciences, healthcare, transport & logistics, and an expanding financial services portfolio. The team blends commercial strategy with technical delivery and is investing in growing its junior capability. You’ll work closely with experienced Data Science leaders in a supportive but high-performance environment.
This is a junior-level Data Science role designed for strong academic performers who want broad exposure rather than narrow specialisation. You’ll gain early ownership on projects while developing both modelling and consulting capability.
Key Responsibilities:
- Deliver analytics and machine learning models on client projects
- Conduct EDA, statistical analysis, and dataset evaluation
- Build dashboards and insight tools for stakeholders
- Contribute to commercial proposals and client presentations
- Support internal ML tool development and innovation initiatives
- Collaborate with digital teams on data-driven product offerings
Key Details:
- Salary: Up to £55,000 base
- Sign-on: £5,000 (year one, repayable if leaving within first year)
- Working model: Hybrid, 2–3 days per week in Victoria, London
- Tech stack: Python, SQL (bonus), Azure (nice to have)
- Sponsorship: Cannot sponsor
Interested? Please apply below.
Data Scientist Consultant - Graduate/Entry Level in Slough employer: Harnham
Join a leading UK-based media organisation at the forefront of digital transformation, where your role as Director of Streaming Product and Growth will be pivotal in shaping the future of their subscription services. With a strong emphasis on innovation and a collaborative work culture, you'll have access to significant growth opportunities, competitive salary packages, and a performance-based bonus structure, all while working in a dynamic environment that values data-driven decision making and customer-centric strategies.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist Consultant - Graduate/Entry Level in Slough
✨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 Harnham 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 Harnham.
✨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 Harnham.
✨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 Harnham’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 Consultant - Graduate/Entry Level in Slough
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Harnham, 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 Harnham 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 Harnham
✨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!
