At a Glance
- Tasks: Analyse complex datasets and develop innovative data-driven solutions.
- Company: Join a forward-thinking team of data experts.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Why this job: Make a real impact using cutting-edge AI and data science techniques.
- Qualifications: Degree in a related field and experience with Generative AI.
- Other info: Collaborative environment with mentorship opportunities for continuous learning.
The predicted salary is between 28800 - 48000 Β£ per year.
We are seeking a highly skilled and motivated Data Scientist to join our team. As a Data Scientist, you will work closely with data experts in the business to analyze complex datasets, develop innovative data-driven solutions, and provide valuable insights to drive business growth.
The ideal candidate will have experience using Databricks for data science work and possess a strong background in both Generative AI and traditional AI techniques.
Role and Responsibilities:
- Collaborate with data experts and stakeholders to understand business objectives and identify opportunities for leveraging data to drive decision-making and business growth.
- Design and implement advanced data models, algorithms, and statistical analyses to extract meaningful insights from large and complex datasets.
- Develop and deploy machine learning models using Databricks for predictive analytics, anomaly detection, and other data science applications.
- Conduct exploratory data analysis to identify patterns, trends, and correlations in the data, and communicate findings to both technical and non-technical stakeholders.
- Stay up to date with the latest advancements in data science, AI, and machine learning techniques, and proactively identify opportunities to apply them to business challenges.
- Mentor and provide guidance to junior data scientists, sharing best practices and fostering a culture of continuous learning and improvement.
Qualifications:
- Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or a related field.
- Proven experience as a Data Scientist, with a strong track record of delivering impactful data-driven solutions.
- Strong knowledge of both Generative AI and traditional AI techniques, including deep learning, natural language processing, and statistical modeling.
- Proficiency in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn).
- Strong problem-solving skills and the ability to think critically and creatively to develop innovative data-driven solutions.
- Excellent communication and collaboration skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders.
- Strong attention to detail and the ability to work independently and manage multiple projects simultaneously.
- Experience working in a collaborative, cross-functional team environment is highly desirable.
Data Scientist employer: Uniting People
Contact Detail:
Uniting People Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Data Scientist
β¨Network Like a Pro
Get out there and connect with people in the data science field! Attend meetups, webinars, or even online forums. The more you engage with others, the better your chances of hearing about job openings that might not be advertised.
β¨Show Off Your Skills
Create a portfolio showcasing your projects, especially those using Databricks and AI techniques. This is your chance to demonstrate your expertise and creativity. Share it on platforms like GitHub or your personal website to catch the eye of potential employers.
β¨Ace the Interview
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly, especially when discussing complex datasets or algorithms. Remember, communication is key!
β¨Apply Through Our Website
Donβt forget to check out our careers page at StudySmarter! Applying directly through our website can give you an edge, as we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Data Scientist
Some tips for your application π«‘
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Scientist role. Highlight your experience with Databricks, Generative AI, and any relevant projects that showcase your data-driven solutions.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data science and how you can contribute to our team. Share specific examples of how you've used data to drive business growth in the past.
Showcase Your Technical Skills: Donβt forget to mention your proficiency in programming languages like Python or R. Include any relevant tools or libraries you've worked with, such as pandas or scikit-learn, to demonstrate your technical expertise.
Apply Through Our Website: We encourage you to apply directly through our website. Itβs the best way for us to receive your application and ensures youβre considered for the role. Plus, it shows us youβre keen on joining our team!
How to prepare for a job interview at Uniting People
β¨Know Your Data Science Stuff
Make sure you brush up on your knowledge of both Generative AI and traditional AI techniques. Be ready to discuss specific projects where you've used Databricks, and how you've applied machine learning models to solve real business problems.
β¨Show Off Your Collaboration Skills
Since the role involves working closely with data experts and stakeholders, prepare examples that showcase your ability to collaborate effectively. Think about times when youβve successfully communicated complex data insights to non-technical audiences.
β¨Prepare for Technical Questions
Expect some technical questions related to programming languages like Python or R, and data manipulation libraries. Practise explaining your thought process when solving data-related problems, as this will demonstrate your critical thinking skills.
β¨Stay Current and Curious
Keep yourself updated on the latest trends in data science and AI. Be prepared to discuss recent advancements and how they could be applied to the companyβs challenges. Showing your enthusiasm for continuous learning can really set you apart!