Data Scientist
POL-Gdynia-3T Office Park, Tower C, Poland
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LSEG
LSEG is your trusted global financial markets infrastructure and data provider. Discover how we deliver value for our customers.Position Summary
The Fixed Income Reference team collects, manages, and supplies content related to Bonds. This content is used extensively across by clients and beyond Refinitiv/LSEG and is a critical asset to a wide range of Refinitiv/LSEG products.
Design and develop new methodologies, quantitative models, analysis and commentary (as relevant) that enhance existing or new processes. Maintain existing product performance and independent analysis standards. Internally, work with various departments to grow new ideas and expand the scope of existing products.
Essential Day-to-Day Responsibilities:
Data handling, data processing and programming
Develop automated solutions for sourcing/loading Fixed Income Reference data into Database
Analyze Fixed Income Reference content to establish patterns/trends
Develop, improve and run quantitative models
Generate solutions through AI & machine learning for core processes
Work with business, content and product groups for large-scale analytics problems
Build POCs, visualizations and pipeline tools for product design and development
Work with development groups for deployment of analytics solutions
Interact with other internal teams as needed, with supervision.
Knowledge & Skills:
Understanding of algorithms, model building, and evaluation
Strong understanding of machine learning algorithms
Knowledge of neural networks and deep learning frameworks
Extensive experience using Python or R or equivalent
Skills in transforming and preparing data for model training
Proficient in using tools and libraries such as Scikit-learn, NumPy, Pandas and Jupyter
Proven relational database skills
Proven understanding of statistics and statistical language such as R
Ability to handle large quantities of data
Narrate stories (to technical and mostly non-technical audience) about our content and processes by data analysis and visualization
Strong written, communication and presentation skills. Able to respond and present work to peers, senior management and other collaborators
Qualification:
Higher education in Statistics, Mathematics or Engineering in Computer Science with Data science certification
You Receive:
Development: targeted plans to develop careers through Career development program and mentoring program.
Onboarding: training and support from FI leadership team
Information: access to real-time economic data
Diversity: inclusive culture with colleagues from over 40 countries (based in Poland) with various age, gender, race and beliefs
Recognition: promoting appreciation culture through global Reward and Recognition platform
Referral: Bonus between 8,000 to 10,000 PLN for successful recommendation of a new colleague
Charity: 2 additional days off for voluntary jobs
Wellbeing: monthly wellness allowance and employee assistance program
Healthcare: private medical care with Medicover, premium package fully covered by employer
Lunch card: meal allowance on personal lunch card provided monthly
Activities: sport teams and social events to join
Future: corporate pension plan and employee insurance
Office: brand new, outstanding office located in 3T Park, Kazimierza Gorskiego Street in Gdynia
Activities: sport teams, contests and social events to join
LSEG is committed to encouraging a diverse, equitable, an inclusive work environment, ensuring equal opportunities for all employees, regardless of their background. We offer great employee benefits to make sure everyone performs to the best of their abilities.
LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity.
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject.
If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data analysis Deep Learning Engineering Jupyter Machine Learning Mathematics Model training NumPy Pandas Privacy Python R RDBMS Scikit-learn Statistics
Perks/benefits: Career development Equity / stock options Health care Insurance Salary bonus Team events Wellness
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