Data Science & ML Engineer
Data Science & ML Engineer
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Job Description
Data Science & ML Engineer
Manchester or London hybrid
DEPT/AI has a single mission: to make the best work in the industry using AI to enhance everything we do. This role sits within our EMEA Data & AI practice which has deep expertise in leveraging AI. The team includes data strategists consultants data scientists and analysts that work alongside DEPT teams around the world across different services from commerce to full-funnel media content engineering to internal operations. You will be solving some of the hardest and most challenging problems facing some of the best loved brands in the world and doing this alongside an experienced team.
JOB PURPOSE
We are seeking a talented and passionate Data Scientist & ML Engineer to join our growing team. As a Data Scientist & ML Engineer you will play a crucial role in designing developing and deploying innovative AI solutions for our clients across various industries. You will collaborate with a team of experts to solve complex business challenges using cutting-edge AI technologies.
KEY RESPONSIBILITIES
- Design and architect scalable ML solutions using statistical modeling MLOps frameworks and cloud technologies
- Build machine learning models for marketing attribution customer prediction segmentation and recommendation systems with deep understanding of customer experience and marketing use-cases
- Implement end-to-end ML pipelines including feature engineering model training deployment and monitoring
- Perform advanced statistical analysis including A/B testing causal inference and experimental design
- Deploy production ML systems with automated retraining drift detection and real-time inference capabilities
- Work closely with data engineers consultants and clients to ensure seamless integration and deployment of ML solutions that create business impact
- Communicate complex technical solutions to clients in an understandable way delivering progress reports and demonstrations
- Consult and guide clients on data and ML implementation serving as a trusted advisor on data-driven decision making
WHAT WE ARE LOOKING FOR
- MSc degree in Data Science Statistics Computer Science Mathematics Engineering or a related quantitative field
- 3 years of experience in data science and/or ML engineering roles
- Strong foundation in statistics and mathematics including probability theory hypothesis testing regression analysis and optimization
- Understanding of customer experience principles and marketing analytics including customer journey mapping conversion optimization and marketing funnel analysis
- Proficiency in Python with extensive experience in data science & AI libraries (-learn pandas NumPy SciPy etc)
- Experience with ML frameworks such as TensorFlow PyTorch XGBoost LightGBM or similar
- Strong SQL skills and experience with data warehousing solutions (Snowflake BigQuery Redshift)
- Experience with cloud platforms (AWS Azure GCP) and their ML services (SageMaker Azure ML Vertex AI)
- Knowledge of MLOps tools including Docker Kubernetes MLflow Kubeflow or similar platforms
- Experience with version control (Git) and collaborative development practices
- Excellent analytical thinking and problem-solving abilities
- Strong communication skills with ability to explain technical concepts to business audiences
WE OFFER:
- A flexible hybrid working policy (2 days from the office depending on location).
- An excellent salary based on experience and equal pay policies
- Pension free private healthcare mental health support and company sick pay scheme.
- 26 days paid holiday (plus UK Bank Holidays).
- Help getting you to work with a season ticket loan and cycle to work scheme.
- Enhanced family friendly policies to support new parents.
- Social and Cultural Events plenty of opportunities to connect with colleagues through organised activities and celebrations.
- Inspirational Talks bringing the outside in with regular guest speakers and events.
- Learning and Development supporting your growth with continuous opportunities to learn and advance.
- Buddy Programme: You will be paired with a Buddy to help you through your first weeks at DEPT.
- A reputation for doing good. DEPT has been a Certified B Corp since 2021 and named Agency of the Year at both The Lovies and The Webby Awards.
- Awesome clients. Whether big or small local or global at DEPT youll get the opportunity to work with clients of all sizes and across all industries. And we celebrate all of our successes together!
- The opportunity for possibility. We want to enable you to do what you do best and help you develop your skills further with training development and certifications.
- Global annual DEPT Cares Month in which employees come together and donate their skills to support local charities.
WHO ARE WE
We are pioneers at heart. What does that mean We are always looking forward thinking of what we can create tomorrow that does not exist today. We were born digital and we are a new model of agency with a deep skillset in tech and marketing. Thats why we hire curious self-driven talented people who never stop innovating.
Our culture is big enough to cope and small enough to care. Meaning that with people across 30 countries were big enough to provide you with the best tools global opportunities and benefits that help you thrive. While acting small by investing in you your growth and your team and giving you the autonomy to solve our clients problems no matter where you are in the world.
DEPT is committed to making a positive impact on the planet and since 2021 has been Climate Neutral and B Corporation certified.
DIVERSITY EQUITY & INCLUSION
At DEPT we take pride in creating an inclusive workplace where everyone has an equal opportunity to thrive. We actively seek to recruit develop nurture and retain talented individuals from diverse backgrounds with varying skills and perspectives.
Not sure you meet all qualifications Apply and let us decide! Research shows that women and members of underrepresented groups tend not to apply for jobs when they think they may not meet every requirement when in fact they do. We believe in giving everyone a fair chance to shine.
We also encourage you to reach out to us and discuss any reasonable adjustments we can make to support you throughout the recruitment process and your time with us.
Want to know more about our dedication to diversity equity and inclusion Check out our efforts here.
Employment Type
Full Time
