At a Glance
- Tasks: Analyse large datasets and create bespoke reports to deliver insights for clients.
- Company: Join a leading data science consulting team in London/Reading with a collaborative culture.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on innovation and client success.
- Why this job: Make a real impact by solving complex problems with cutting-edge data science techniques.
- Qualifications: 4+ years in data science, strong skills in Python, SQL, and analytics.
The predicted salary is between 55000 - 65000 £ per year.
We are looking for a Data Scientist to join the Data Science Consulting Team based in Reading/London. This new role is responsible for analyzing extremely large datasets, creating bespoke client reports, exploring new datasets, and building new algorithms to deliver services to clients.
Responsibilities include:
- Explore and extract data from multiple sources and interrogate this data to create meaningful insights.
- Scope and define the approach to typical projects that Data Science Consulting Team works on.
- Research, develop, and test solutions to problems that use both supervised and unsupervised learning models.
- Discuss technical and analytical aspects of your work with clients.
- Maintain and improve our machine learning pipelines, processes and products.
- Use tools and languages such as Python, SQL and Tableau for reporting and analysis on our AWS data platform.
- Work with our India based Data Engineering team and our Sales and Market Research Teams in the US and UK.
- Have knowledge of a broader set of techniques available for each type of ML problem, typically having real in-depth knowledge in a couple of areas (e.g. Forecasting, Segmentation etc.).
- Critically think about what features are required to address a client business problem, and transform the data to achieve this.
- Confidently be relied upon to create models that are robust and do not suffer from issues such as multicollinearity, overfitting, data leakage etc.
- Have knowledge of advanced machine learning algorithms such as random forest, gradient boosting, and support vector machines.
- Experience in feature engineering and selection techniques.
- Understanding of model evaluation metrics and cross-validation techniques.
It’ll be helpful if you have:
To be successful in this role, candidates should possess a blend of technical expertise, analytical acumen, and strong communication skills. The ideal candidate will also be a proactive problem-solver with a passion for learning and a collaborative spirit. This role is perfect for someone eager to contribute to a dynamic team and grow their career in the field of data science. A profound understanding of statistical methods will further enhance the candidate's ability to excel in this position.
Requirements include:
- 4+ years’ experience of working within the Data Science domain.
- Proven experience of managing Data Science projects independently.
- A desire to understand the why, and dig into data to understand what makes people tick.
- A Bachelor’s degree in a subject such as Applied Mathematics, Statistics, Economics, Psychology, Sociology, Physics, Engineering, Computer Science, etc. (a Master’s Degree or higher is a plus).
- Solid data analytics skills; proven proficiency with SQL, Python & Pandas is a must.
- The ability to understand business problems, draw conclusions from data and recommend actions on how best to solve these problems.
- Strong communications skills, and an ability to document requirements and work with other team members.
- An appreciation for general Quant market Research techniques would be beneficial but not necessary.
- Experience with TV viewing data, the TV industry and/or Media Industry experience; this isn’t a pre-requisite, but a genuine interest is.
- A curiosity about data and enjoy building data visualisations that clearly articulate insight.
Our Vision: We are creating the most tech and data-forward research business on the planet, where primary research, AI, and big data work together to solve complex marketing, content, and product development challenges.
Our Values:
- Radical Candor: Caring personally while challenging directly – offering feedback that is honest and clear, but always rooted in genuine empathy and respect for the individual.
- Client Obsession: Maintaining an unwavering focus on understanding and exceeding client needs and expectations, consistently delivering value, and building lasting partnerships through proactive communication, responsiveness, and a relentless commitment to client success.
- Unmatched Expertise: A level of deep, specialised knowledge and skill that exceeds industry standards, allowing delivery of innovative, tailored solutions to complex client challenges, driving superior outcomes. Fostering growth for our talent and establishing a reputation for excellence.
Data Scientist in London employer: Simplify Software Experts LLC/ Simpli Software Solutions Inc
Join a dynamic and rapidly growing Data Science Consulting Team in London/Reading, where innovation meets collaboration. We offer a supportive work culture that prioritises employee growth through continuous learning opportunities and exposure to cutting-edge technologies. With a commitment to client success and a focus on radical candor, you'll thrive in an environment that values your contributions and encourages you to push the boundaries of data science.
Contact Details:
Simplify Software Experts LLC/ Simpli Software Solutions Inc Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in London
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We think you need these skills to ace Data Scientist 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 Simplify Software Experts LLC/ Simpli Software Solutions Inc, 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 Simplify Software Experts LLC/ Simpli Software Solutions Inc. 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 Simplify Software Experts LLC/ Simpli Software Solutions Inc
✨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 Simplify Software Experts LLC/ Simpli Software Solutions Inc!
✨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.