At a Glance
- Tasks: Join a dynamic team to enhance data quality and deliver AI-driven analytics solutions.
- Company: A forward-thinking organisation investing in data transformation and analytics.
- Benefits: Competitive salary, hybrid work model, and strong career development opportunities.
- Other info: Collaborative environment with exposure to AI and machine learning projects.
- Why this job: Make an impact by shaping data strategies and working with cutting-edge technologies.
- Qualifications: Experience with SQL, data modelling, and strong analytical skills required.
The predicted salary is between 56250 - 68750 £ per year.
This is an exciting opportunity for a Data Scientist to join a growing organisation that is investing heavily in its data and analytics capabilities. You'll play a key role in building trusted data foundations, improving data quality, and delivering AI and predictive analytics solutions that support both operational and commercial decision-making.
The Company
This organisation is undergoing a significant data transformation, modernising its technology stack and centralising data within a cloud-based platform. With ambitious growth plans and substantial investment in analytics, they are looking to use data more effectively to drive performance, automate processes, and enable better business decisions. Working in a small, collaborative team, you'll have the opportunity to influence the direction of the data function and work across a diverse range of projects spanning data engineering, analytics, machine learning and AI.
The Role
You will work closely with senior stakeholders to improve data quality, build robust analytical solutions, and help shape the organisation's data strategy. Key responsibilities include:
- Cleaning, reconciling and standardising data from multiple source systems
- Developing scalable data models to support reporting, analytics and machine learning initiatives
- Performing entity resolution and fuzzy matching to improve data accuracy and consistency
- Building dashboards and reporting solutions for business stakeholders
- Supporting AI-driven document processing and automation projects
- Developing forecasting and predictive analytics solutions to support operational planning
- Working with complex datasets to identify trends, risks and opportunities
- Contributing to a modern cloud-based data platform and best-practice data governance processes
Your Skills & Experience
- Strong commercial experience with SQL and data modelling
- Experience working with complex, fragmented or low-quality datasets
- Knowledge of data quality improvement, reconciliation and master data challenges
- Experience building analytical, forecasting or machine learning models
- Exposure to Snowflake would be highly beneficial
- Experience developing reporting and dashboards in Power BI
- Strong stakeholder engagement and communication skills
- STEM degree or other highly quantitative academic background
What They Offer
- £50,000 - £60,000 salary
- Hybrid working arrangement with 3-4 days per week in the office
- Opportunity to work on AI, machine learning and predictive analytics projects
- Exposure to modern cloud technologies and data platforms
- Significant scope to shape the data function and influence technical direction
- Strong career development opportunities within a growing business
Data Science/Analyst in London employer: Harnham - Data & Analytics Recruitment
Join a forward-thinking SaaS organisation in London, where you'll not only lead the Data Engineering function but also play a pivotal role in shaping the future of AI and data solutions. With a strong emphasis on innovation, employee development, and a collaborative work culture, this company offers clear progression opportunities and the chance to work on impactful projects that drive commercial success. Enjoy a supportive environment that values your expertise while you tackle exciting technical challenges and contribute to the growth of a rapidly expanding business.
Contact Details:
Harnham - Data & Analytics Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Science/Analyst in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Science/Analyst in London
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 Harnham - Data & Analytics Recruitment, 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 Harnham - Data & Analytics Recruitment. 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 Harnham - Data & Analytics Recruitment
✨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 Harnham - Data & Analytics Recruitment!
✨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.
