At a Glance
- Tasks: Lead impactful data science projects and mentor junior team members.
- Company: Join a fast-growing tech company at the forefront of data science innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborate with diverse teams and explore exciting data challenges.
- Why this job: Make a real impact using advanced machine learning techniques in a dynamic environment.
- Qualifications: Experience in machine learning, NLP, and excellent communication skills required.
The predicted salary is between 60000 - 80000 € per year.
Are you passionate about delivering real value to an organisation using advanced techniques in data science and machine learning? We are looking for a talented senior data scientist to work in our Data Science team. You are an innovative thinker keen to put forward your own ideas and suggestions.
You will need experience in:
- Implementing machine learning in production using in-house or third-party data science platforms
- Building machine learning models; experience in Natural Language Processing, Time-Series prediction, Neural Networks and Recommendation Systems will be advantageous
- Excellent communication skills, explaining complicated concepts to non-technical colleagues
- Generating insights from complex data sources
What the job involves:
The role presents an opportunity for you to partner with stakeholders across all areas of the business, including marketing, risk, customer services and quants, to deliver impactful data products using state-of-the-art machine learning techniques. Data Science is fast-growing at IG and we are constantly refining what this discipline means for the organisation. The demand for our services is very high, and this provides a lot of buzz for everyone on the team. We are scratching the surface in terms of delivering value to the organisation, but we have been making progress in the complexity of solutions we have available.
You will lead high-impact projects, being a technical thought leader and subject matter expert in classic Machine Learning as well as advanced and generative AI. You will explore a variety of data from structured to unstructured data spanning client, operational and financial domains to identify opportunities for data science that add value to the business. You will advance the use of AI within IG by building our next generation data products, e.g. recommendation systems, chatbots, text analytics systems, pricing and hedging optimisation and automatic insight generation systems. You will work with stakeholders from across the business to turn business problems into data science solutions and mentor junior members of the department, helping them grow.
Senior Data Scientist employer: Deepstreamtech
At IG, we pride ourselves on being an exceptional employer that fosters innovation and collaboration within our Data Science team. Our vibrant work culture encourages creative thinking and offers ample opportunities for professional growth, allowing you to lead impactful projects while mentoring junior colleagues. Located in a dynamic environment, we provide access to cutting-edge technology and a supportive atmosphere where your contributions truly make a difference.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current employees at the company you're eyeing, especially in the Data Science team. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your machine learning projects, especially those involving NLP or recommendation systems. This will help you stand out and demonstrate your hands-on experience.
✨Tip Number 3
Practice your communication skills! Be ready to explain complex data concepts in simple terms. This is key when discussing your ideas with non-technical stakeholders during interviews.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team and contributing to our exciting data science projects.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Show Your Passion:Let us see your enthusiasm for data science! In your application, highlight specific projects or experiences where you've delivered real value using advanced techniques. This will help us understand your drive and commitment to the field.
Tailor Your Experience:Make sure to align your skills with the job requirements. If you’ve worked on machine learning models, especially in NLP or recommendation systems, shout about it! We want to know how your background fits into our team.
Communicate Clearly:Remember, we need someone who can explain complex concepts to non-technical folks. Use clear and concise language in your application to demonstrate your communication skills. Show us you can bridge the gap between tech and business!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Deepstreamtech
✨Know Your Data Science Stuff
Make sure you brush up on your machine learning techniques, especially in areas like Natural Language Processing and Neural Networks. Be ready to discuss your past projects and how you've implemented these models in production. This will show that you not only understand the theory but can also apply it practically.
✨Communicate Like a Pro
Since you'll be explaining complex concepts to non-technical colleagues, practice simplifying your explanations. Use analogies or real-world examples to make your points clearer. This will demonstrate your excellent communication skills and your ability to bridge the gap between technical and non-technical teams.
✨Show Your Innovative Side
Prepare to share your own ideas and suggestions during the interview. Think about how you can contribute to the team’s growth and the organisation's goals. Highlight any unique approaches you've taken in previous roles that led to successful outcomes, as this will showcase your innovative thinking.
✨Be a Team Player
Emphasise your experience working with stakeholders across different departments. Share examples of how you've collaborated with marketing, customer services, or quants to deliver impactful data products. This will highlight your ability to work well in a team and your understanding of how data science can add value to various business areas.
