Data Services Executive in London

Data Services Executive in London

London Full-Time 25000 - 32000 £ / year (est.) Home office (partial)
IFF Research

At a Glance

  • Tasks: Support project teams by managing data tasks and producing accurate datasets.
  • Company: Join an award-winning social research agency making a real difference in the UK.
  • Benefits: Enjoy competitive pay, flexible working, and 28 days annual leave plus perks.
  • Other info: Collaborative team culture with opportunities for personal development.
  • Why this job: Kickstart your career in data with hands-on experience and ongoing training.
  • Qualifications: Interest in data, good numeracy, and confidence in Excel; training provided.

The predicted salary is between 25000 - 32000 £ per year.

Are you looking to start a career in data and research? Do you want a role where you can develop your technical and analytical skills while supporting project teams making a real difference in the UK? Do you value a supportive and collaborative team environment? IFF is an award-winning social research agency that helps organisations, businesses and individuals to make better informed decisions. We deliver best-in-class social research on topics that really matter, helping shape public policy and informing programmes and initiatives that make a difference to people’s lives.

About the role: This is an entry level development role that sits within our Data Services (DS) team and reports into the Head of Data Services. The role is focused on delivering accurate, well-structured datasets and outputs, rather than leading on analysis or insight generation. Whether you’re a recent graduate or early in your career, this role offers the opportunity to build practical experience working with real datasets and research projects. After a period of training, you’ll work with the research team on a number of projects, supporting the full data services process including sampling (Excel data) and analysis (SPSS). Working to deadlines and budgets you’ll develop your skills, work with different stakeholders and while overtime you will become more autonomous in your work, you’ll continue to receive training and ongoing support from the DS team.

Key responsibilities include:

  • Manage data tasks and projects to agreed timelines.
  • Produce accurate outputs as specified.
  • Carry out detailed and reliable quality checks.
  • Present and explain all data clearly as required to non-technical colleagues.
  • Communicate updates openly, honestly and frequently.
  • Collaborate with internal teams, clients and suppliers.
  • Support colleagues, other departments and team members as needed.

About you: We’re looking for someone with a genuine interest in data and research. Full training will be provided but you should bring:

  • Confidence working with data, particularly in Excel.
  • Good numeracy and attention to detail.
  • Clear and confident communication skills.
  • A proactive and organised approach to your work.
  • Willingness to learn new tools and approaches.
  • Comfortable using AI-powered tools and applying prompt engineering techniques to work with large language models (LLMs).
  • Knowledge of R, or experience using it for data processing or analysis, would be beneficial.

You will likely have studied a degree in data science, maths, engineering, computer science or similar or you will have experience in similar work. This role would suit someone who:

  • Enjoys solving problems using data.
  • Is comfortable working independently, with support when needed.
  • Wants to build a long-term skillset in data services and research.

Our values are key to how we work, we’re looking for somebody that aligns with our “human first” approach and enjoys working collaboratively. Don’t quite tick all the boxes, but still believe you’d add value? We’d encourage you to apply and tell us how.

Why join us?

  • A friendly and supportive work environment, true to our value of “being human first”.
  • Genuine flexibility, with hybrid working and the ability to flex when you work around our core hours of 11-3.
  • Learning culture, with ongoing investment in your personal development.
  • Competitive remuneration, including 5% pension contributions.
  • 28 days’ annual leave (+ bank holidays), increasing by one day at 3 and 5 years’ service.
  • PLUS a range of nice perks designed to bring the team together such as all team events and team lunches.

Data Services Executive in London employer: IFF Research

IFF Research is an exceptional employer, offering a dynamic work culture that values collaboration and innovation in the education sector. With a strong emphasis on employee growth, you will have access to professional development opportunities while working in a hybrid environment that promotes work-life balance. Join us in making a meaningful impact on government education projects across the UK, where your expertise in quantitative research will be highly valued.

IFF Research

Contact Details:

IFF Research Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Services Executive in London

Get Involved in Data Science Meetups

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Show Off Your Projects

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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 IFF Research.

Apply Directly through Our Website

When you find a suitable opening like Data Services Executive at IFF Research, 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 Data Services Executive in London

Data Management
Excel
Numeracy
Attention to Detail
Communication Skills
Project Management
Quality Assurance

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 IFF Research, 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 IFF Research. 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 IFF Research

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 IFF Research!

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.