Senior Data Scientist

We are rapidly expanding our data capabilities to leverage innovative technologies, such as AI and ML, to automate and improve our products and processes. This role will join a new team to drive this change throughout our business with the opportunity to make a real difference. We are seeking someone who can get stuck in and lead from the front!

•Develop and execute tailored data automation strategies, enhancing efficiency and reducing manual processes

•Collaborate closely with data engineering teams to seamlessly integrate automated processes

•Implement and reinforce data security measures throughout the automation lifecycle

•Leverage cloud platforms (AWS) to scale and optimise data automation and workflow

•Translate business needs into effective data automation solutions, collaborating with stakeholders in the financial sector

•Explore and incorporate innovative data sources and technologies to enhance automation capabilities

•Stay updated on industry trends, emerging technologies, and best practices in financial data automation

•Provide training and support for internal teams to ensure a smooth transition to automated data processes

•Contribute insights to strategic planning sessions, aligning data automation initiatives with overall business goals

Requirements

Commercial experience in a data science role

•Proficiency in data science methodologies and algorithms

•Strong programming skills in Python or R including package management

•Experience with statistical analysis and hypothesis testing

•Competency in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch)

•Ability to clean, preprocess, and analyse large datasets

•Solid understanding of data visualisation techniques and tools

•Experience of maintaining cloud infrastructure, preferably AWS

•Effective communication of complex findings to non-technical stakeholders

It would be nice if you had:

•Experience working in Financial Services and with Financial Data, with exposure to Alternatives a real bonus

•Skills in data engineering and pipeline development

•Experience of building and maintaining machine learning and AI models

•Familiar with python, including package management

•Eagerness to get involved and share responsibility for the platform

•Experience of MLOps is a p

Benefits

Annual Leave

• 22 days per calendar year (and all local bank holidays)
• An additional day off for your birthday

Wellness and Care Leave

• Up to 5 days for self-care or wellness

Volunteer Day

• 1 day off to support a charity of your choice

Share With Scheme

• Eligible employees receive a share in a qualifying event

Therapy Sessions

• 50% contribution towards therapy sessions, up to BGN 90 per session

Lunch & Learns

• Events held throughout the year with educational or informative topics

Charity Matching Days

• Company matches charity sponsorships up to 3500 BGN

Hybrid Working

• 3 days in the office, 2 days working from home

Multisport

• 50% contribution from the employer, 50% from employee

State Benefits

• Pension & health provision
• Family-friendly policy

Office Facilities

• Contemporary office space
• Free Onsite gym
• Address: 51, "Cherni vrah" Blvd, 1407 Sofia, WorkBetter Coworking space

Employee Assistance Programme (EAP)

• 24-hour confidential health assistance via TelusHealth, including:
• Counselling support
• Financial wellbeing
• Bereavement support
• Legal information
• Medical information

Refer a Friend

• BGN 1,200 reward for successful referral

Hardship Fund

• Financial assistance repayable with low interest over 3, 6, or 12 months

Learn With Us

• Access to a learning platform with over 80,000 free courses