At a Glance
- Tasks: Lead AI and ML projects, from design to deployment, while mentoring junior team members.
- Company: Digica, a leader in AI and ML solutions for global clients.
- Benefits: Hybrid work model, competitive salary, and a focus on continuous learning.
- Other info: Collaborate with international clients and enjoy a supportive work environment.
- Why this job: Join a dynamic team and make an impact in cutting-edge AI projects.
- Qualifications: 6-8 years in data science with strong Python skills and project leadership experience.
The predicted salary is between 63000 - 77000 Β£ per year.
Digica is a company specializing in the application of Artificial Intelligence (AI) and Machine Learning (ML) methods in research and development projects for leading global clients.
We work with partners in the defense, healthcare, and entertainment industries, building innovative AI-driven solutions that bridge the gap between research and production.
Our teams operate in an international environment, collaborating with customers from the US and Europe.
Job Description
Weβre looking for an experienced Data Scientist who will also act as a Technical Lead.
We need someone who not only masters Data Science techniques but can also lead projects end-to-end β from initial client discussions and solution design to production deployment of ML models.
You will be responsible for
- Designing and implementing CV/ML/AI models (predictive, classification, LLM, recommendation systems, etc.),
- Selecting and optimizing algorithms (regression, tree-based models, neural networks, etc.),
- Integrating models into production environments,
- Performing data cleaning, feature engineering, and model validation,
- Identifying tools and specifying processes
- Mentoring junior team members and contributing to solution architecture,
- Preparing and presenting analytical results to business and technical stakeholders.
Qualifications
- 6β8+ years of professional experience in data analysis, statistical modeling, computer vision or machine learning, including at least 4 years as a Data Scientist,
- Hands-on experience deploying ML models to production, not just research-level familiarity,
- Strong proficiency in Python (Num Py, pandas, scikit-learn, matplotlib, pytorch),
- Understanding of Windows or Linux software development platforms
- Excellent command of English β both written and spoken (international client communication, presentations),
β’ Expertise in at least one of the following domains
- Experience with Tensor Flow, Py Torch, XGBoost, Light GBM,
- Proficiency with Git, Linux, Docker, MLflow, Airflow, AWS/GCP/Azure,
- Solid SQL and data visualization skills.
- Additional Information
Nice to have
- Proven experience leading projects and managing teams,
- Experience in presales, client workshops, or building Proof-of-Concepts (Po Cs),
- Familiarity with Hadoop, Spark,
- Research or R&D background.
- Soft Skills
- Ability to structure projects teams, make technical decisions, and own outcomes,
- Ability to manage multiple projects at the same time
- Proactive and self-driven approach, with strong organizational skills,
- Excellent presentation and communication skills,
- Business-oriented mindset β ability to translate insights into actionable recommendations,
- Mentoring attitude and willingness to support team growth.
What We Offer
- Opportunity to work on cutting-edge AI and ML projects,
- Collaboration with international clients (US and Europe),
- Hybrid working model β 3 days per week in the office, with the option to work remotely on the remaining days,
- Supportive, innovation-driven work environment focused on continuous learning and growth.
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Senior Data Scientist (UK) in Sale employer: Digica Ltd.
Digica is an exceptional employer for Senior Data Scientists, offering the chance to work on groundbreaking AI and ML projects in a supportive and innovation-driven environment. With a hybrid working model that promotes work-life balance and opportunities for continuous learning and professional growth, employees can thrive while collaborating with international clients across diverse industries. Join us to lead impactful projects and mentor the next generation of data scientists in a dynamic team setting.