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- Tasks: Join our team to develop advanced algorithms for life-saving medical product inventory management.
- Company: DFSAfrica, a leader in innovative data solutions for healthcare.
- Benefits: Full-time role with competitive salary and opportunities for professional growth.
- Why this job: Make a real-world impact by solving critical healthcare challenges with data.
- Qualifications: Master's or PhD in relevant fields and 3+ years of analytical experience required.
- Other info: Dynamic work environment with a focus on collaboration and innovation.
The predicted salary is between 36000 - 60000 Ā£ per year.
DFSAfrica is seeking a Data Scientist to join our Connective the Dots Initiative (CDI) and Africa to the World (A2W) teams, working on advanced algorithms that automate inventory management for lifeāsaving medical products.
Responsibilities
- Work with the product and research teams, and academic partners, to implement sophisticated models on big data.
- Analyze large data sets from the product catalog, including prices, promotions, and inventory, and evaluate their impact on millions of dollars worth of inventory.
- Conduct all phases of research projects: define research questions, gather data, build and evaluate competing models, and communicate the results.
- Provide dataādriven, businessārelevant recommendations to stakeholders.
- Formalize model assumptions, detect and explain outliers, and propose fixes.
- Use Python, R, Scala, or similar languages to build statistical and machineālearning models.
- Communicate findings verbally and in writing to audiences of varying technical levels.
Qualifications & Skills
- Master's or PhD in Machine Learning, Data Science, Statistics, Applied Mathematics, Physics, Computer Science, or Economics.
- 3+ years of experience in an analytical role involving data extraction, statistical modeling, and communication.
- 3+ years of experience with data querying languages (e.g., SQL, Hadoop/Hive). Experience with MongoDB, MySQL, or similar databases is preferred.
- Fluency in a scripting or computing language such as Python, Scala, C++, or Java.
- Experience processing, filtering, and presenting large datasets (millions to billions of rows) from product or business functions.
- Handsāon experience with machineālearning/deepālearning techniques for realāworld problems.
- Natural curiosity, passion for solving realāworld problems, and ability to work in a dynamic environment.
Seniority Level: MidāSenior level.
Employment Type: Fullātime.
Job Function: Engineering and Information Technology.
Data Scientist in London employer: DFSAfrica
Contact Detail:
DFSAfrica Recruiting Team
StudySmarter Expert Advice š¤«
We think this is how you could land Data Scientist in London
āØTip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
āØTip Number 2
Show off your skills! Create a portfolio showcasing your data projects, models, and analyses. This is your chance to demonstrate your expertise in Python, R, or any other tools you've mastered. Make it easy for employers to see what you can do!
āØTip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical audiences.
āØTip Number 4
Don't forget to apply through our website! We love seeing applications come directly from candidates who are genuinely interested in joining our team. Plus, it gives you a better chance of standing out in the crowd!
We think you need these skills to ace Data Scientist in London
Some tips for your application š«”
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with data extraction, statistical modelling, and any relevant programming languages like Python or R. We want to see how your skills match up with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background aligns with our Connective the Dots Initiative. We love seeing enthusiasm and a personal touch!
Showcase Your Projects: If you've worked on any cool projects involving big data or machine learning, make sure to mention them! Weāre interested in real-world applications of your skills, so donāt hold back on sharing your successes.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at DFSAfrica
āØKnow Your Algorithms
Brush up on the advanced algorithms relevant to inventory management and machine learning. Be ready to discuss how you've implemented these in past projects, as well as their impact on data analysis.
āØShowcase Your Data Skills
Prepare to demonstrate your proficiency with data querying languages like SQL and your experience with big data tools. Have examples ready that highlight your ability to analyse large datasets and derive actionable insights.
āØCommunicate Clearly
Practice explaining complex data concepts in simple terms. Youāll need to communicate findings to stakeholders with varying technical backgrounds, so being able to articulate your results clearly is key.
āØAsk Insightful Questions
Come prepared with questions about the Connective the Dots Initiative and Africa to the World teams. This shows your genuine interest in the role and helps you understand how you can contribute effectively.
