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For Companies At a Glance
- Tasks: Join a team of Data Scientists to build AI data science solutions and models.
- Company: causaLens is revolutionizing AI data science, empowering teams to create custom data science agents.
- Benefits: Enjoy 25 days paid holiday, share options, and a learning budget among other perks.
- Why this job: Be part of a pioneering mission that enhances decision-making for industry leaders.
- Qualifications: 2+ years of data science experience with Python and a strong academic background in a quantitative field.
- Other info: Collaborate with top talent in a supportive environment focused on growth and innovation.
The predicted salary is between 43200 - 72000 £ per year.
Applied Data Scientist
Below covers everything you need to know about what this opportunity entails, as well as what is expected from applicants.
Up to £60,000 + Benefits
London (3 days per week)
About the Role
Join a leading data analytics firm, with a strong reputation in the loyalty analytics space, working with top-tier clients on multiyear data science and data engineering projects. If you\’re passionate about data science in customer loyalty and looking for a role with direct impact, this is the place for you.
Key Responsibilities
- Work directly with clients, presenting your findings and insights to drive decision-making.
- Collaborate on clustering, regression, and time-series forecasting projects to optimize product promotions.
- Focus on building models to assess brand performance, helping clients understand which products to promote (premium vs non-premium).
- Attend monthly meetings at Welling Garden City to coordinate with the team and discuss progress.
- Use SQL and Python to analyse large datasets and deliver actionable insights to clients.
What We’re Looking For
- Experience in client-facing roles, able to communicate data-driven insights and recommendations clearly.
- Proficient in SQL and Python for data analysis and modelling.
- Strong experience with clustering, time-series forecasting, and regression techniques.
How to Apply
Please register your interest by sending your CV to Emily Burgess via the Apply link on this page.
Applied Data Scientist employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Data Scientist
✨Tip Number 1
Familiarize yourself with causaLens' Agentic AI framework. Understanding how to leverage this platform will not only help you during the interview but also demonstrate your proactive approach and genuine interest in their technology.
✨Tip Number 2
Brush up on your Python skills, especially in the context of data science. Be prepared to discuss specific projects where you've used Python to solve complex problems, as this will be a key focus during the interview process.
✨Tip Number 3
Highlight any experience you have in consulting or customer-facing roles. Since the position involves collaborating with business stakeholders, showcasing your ability to communicate technical concepts to non-technical audiences will set you apart.
✨Tip Number 4
Research the industries that causaLens serves, such as retail, manufacturing, and financial services. Being knowledgeable about these sectors will allow you to engage in meaningful discussions about how your skills can benefit their clients.
We think you need these skills to ace Applied Data Scientist
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Senior Data Scientist position at causaLens. Understand the key responsibilities and required skills, especially in data science, Python, and collaboration with business stakeholders.
Highlight Relevant Experience: In your CV and cover letter, emphasize your commercial data science experience, particularly with Python and any relevant projects that showcase your ability to build data science solutions. Mention any experience with time series analysis or working in high-growth technology companies.
Showcase Communication Skills: Since the role requires communicating technical topics to non-technical audiences, provide examples in your application of how you've successfully conveyed complex information in a clear and understandable way.
Tailor Your Application: Customize your CV and cover letter to reflect the values and mission of causaLens. Show your enthusiasm for building AI data scientists and how your background aligns with their goal of making data science accessible and trustworthy.
How to prepare for a job interview at Harnham
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and other programming languages. Highlight specific projects where you've applied statistical methods, machine learning algorithms, or cloud technologies. This will demonstrate your technical breadth and depth.
✨Communicate Clearly
Since you'll need to explain complex technical topics to non-technical stakeholders, practice simplifying your explanations. Use analogies or real-world examples to make your points relatable and understandable.
✨Demonstrate Collaboration Experience
CausaLens values teamwork, so be ready to share examples of how you've successfully collaborated with cross-functional teams. Discuss any experiences where you integrated domain knowledge into your data science projects.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about how you would approach building a data science solution for a client, including the steps you would take to understand their needs and integrate insights into their decision-making processes.
