At a Glance
- Tasks: Transform complex data into actionable insights and develop predictive models.
- Company: Established consumer-focused organisation with a commitment to exceptional customer experiences.
- Benefits: Competitive salary, bonus, private healthcare, hybrid working, and learning budget.
- Other info: Collaborative environment with opportunities for professional growth and development.
- Why this job: Join a dynamic team and make a real impact through data-driven decision making.
- Qualifications: Experience in Data Science, machine learning, Python, and SQL required.
The predicted salary is between 50000 - 75000 £ per year.
LOCATION- London (Hybrid)
TERM- Permanent
SALARY- £50,000 to £75,000 per annum
BENEFITS – Bonus, Pension, Private Healthcare, Hybrid Working, Learning & Development Budget, Flexi-time etc.
We are a well-established consumer-facing organisation with a strong focus on delivering exceptional customer experiences through data-driven decision making. As part of the continued growth of our analytics function, we are looking to appoint a Data Scientist to help transform complex data into actionable business insights. We are looking to hire a Data Scientist to work closely with senior data professionals and stakeholders across multiple business functions, developing predictive models and uncovering opportunities to improve business performance from our London office.
The Data Scientist MUST have:
- Commercial experience within Data Science, Advanced Analytics, Statistical Analysis, or a related field
- Strong experience applying machine learning techniques to solve real-world business problems
- Proficiency in Python and SQL for data analysis, modelling, and data manipulation
- Experience working with large and complex datasets
The Data Scientist will ideally have the following attributes:
- A degree qualification (BSc, MSc, PhD etc.) in Data Science, Mathematics, Statistics, Computer Science or a similar discipline
- Experience performing data cleaning, transformation, and feature engineering
- Strong understanding of statistical methods and model evaluation techniques
- Ability to communicate technical concepts clearly to non-technical stakeholders
- Experience presenting insights and recommendations that influence business decisions
- Experience with cloud platforms such as AWS, Azure, or GCP would be beneficial
- Knowledge of Spark, Databricks, or other big data technologies would be advantageous
- Experience with Power BI, Tableau, or similar data visualisation tools would be beneficial
- Familiarity with MLOps, model deployment, or production environments would be advantageous
- Excellent communication skills (both verbal and written)
The Data Scientist role will involve:
- Conducting exploratory data analysis to identify trends, patterns, and opportunities
- Developing, testing, and optimising machine learning models to support business objectives
- Cleaning, transforming, and preparing data for analysis and modelling
- Ensuring data quality and integrity across multiple datasets
- Translating analytical findings into practical business recommendations
- Presenting insights and model outputs to both technical and non-technical stakeholders
- Collaborating with cross-functional teams to solve business challenges using data
- Staying up to date with emerging data science techniques and industry best practices
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.
Data Scientist in Slough employer: Halian | Managed Services, Recruitment Agency & Contract Staffing
Join a dynamic and innovative consumer-facing organisation in London, where we prioritise exceptional customer experiences through data-driven insights. As a Data Scientist, you'll benefit from a supportive work culture that values continuous learning and development, offering a competitive salary alongside bonuses, private healthcare, and flexible working arrangements. With opportunities to collaborate with senior professionals and influence key business decisions, this role is perfect for those looking to grow their career in a thriving analytics environment.
Contact Details:
Halian | Managed Services, Recruitment Agency & Contract Staffing Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Slough
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We think you need these skills to ace Data Scientist in Slough
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 | Managed Services, Recruitment Agency & Contract Staffing, 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 | Managed Services, Recruitment Agency & Contract Staffing. 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 | Managed Services, Recruitment Agency & Contract Staffing
✨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!
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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 | Managed Services, Recruitment Agency & Contract Staffing!
✨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.
