Smith+Nephew

Data Science Manager

Poland · Work style not stated · Full time

Apply on the employer’s site ↗See how well you match this job

You apply directly with the employer. ROLIVA does not submit applications from this page and is not the employer.

About the role

Description from the employer’s posting. Check the employer’s page for the current version.

  • EmployerSmith+Nephew
  • LocationPoland
  • Work styleWork style not stated
  • Employment typeFull time
  • Employer posted

Life. Unlimited. At Smith+Nephew we design and manufacture technology that takes the limits off living.

Are you passionate about applying Artificial Intelligence and advanced analytics to solve complex supply chain challenges? As our Data Science Manager, you will lead the development of next generation Autonomous Planning capabilities that help transform how planning decisions are made across demand, supply and inventory management. This is a unique opportunity to combine technical expertise, business engagement and people leadership to deliver AI powered solutions that create measurable value at scale.

What will you be doing?

In this role, you will lead a Data Science Pod focused on designing, building and deploying advanced analytics, machine learning and optimisation solutions that directly influence supply chain planning decisions. Working closely with Supply Chain Planning stakeholders and the Centre of Excellence, you will help shape a portfolio of high value use cases and ensure solutions are embedded into planning systems and day to day business processes.

Show full description

You will play a key role in advancing Autonomous Planning through AI powered planning engines across forecasting, inventory optimisation, replenishment planning, planning parameter optimisation and scenario modelling. Beyond model development, you will be responsible for ensuring solutions are adopted, deliver measurable outcomes and support better business decisions.

You will also help build internal capability by coaching Data Scientists, driving best practices, fostering experimentation and supporting the transition of innovative concepts into scalable production solutions.

What will you need to be successful?

Success in this role comes from combining strong technical expertise with a clear focus on business impact. You will be able to connect advanced analytics with real world planning outcomes while building strong partnerships across technical and business teams.

Key requirements include:

  • Strong expertise in machine learning, time series forecasting and advanced analytics, with experience in optimisation techniques considered advantageous
  • Experience delivering production ready data science solutions that influence operational and business decisions
  • Strong stakeholder management skills with the ability to translate complex analytical outputs into clear and actionable recommendations
  • Proficiency in Python, MLOps and modern data science platforms within enterprise data environments
  • Prior experience leading, mentoring or managing a Data Science team would be nice to have, but is not essential

The anticipated base compensation range for this position is 159,500 PLN - 239,250 PLN annually.

The actual base pay offered to the successful candidate will be based on objective, job related factors including (but not limited to) relevant skills, qualifications, and experience, scope and responsibilities of the role, geographic location, and internal equity considerations. Compensation decisions are made using consistent and gender neutral criteria, in line with applicable pay transparency laws. This role has been evaluated within our internal job architecture and mapped to a defined pay band to ensure consistency and fairness.

You. Unlimited.
We believe in creating the greatest good for society. Our Strongest investments are in our people and patients we serve.
Inclusion & Belonging: Committed to Welcoming, Celebrating and Thriving on Inclusion and Belonging, Learn more about our Employee Inclusion Groups on our website
Your Future: Generous annual bonus, life insurance, Save As You Earn share options.
Work/Life Balance: Flexible Vacation and Time Off, Paid Holidays and Paid Volunteering Hours, so we can give back to our communities!
Your Wellbeing: Private Health and Dental plans, multisport card/my benefit platform and much more.
Flexibility: Hybrid Working Model (For most professional roles).
Training: Hands On, Team Customised, Mentorship, subsidies for language classes, certifications and postgraduate studies

#LI-GG1

#LI-HYBRID

Stay connected by joining our Talent Community.

We're more than just a company - we're a community! Follow us on LinkedIn to see how we support and empower our employees and patients every day.

Check us out on Glassdoor for a glimpse behind the scenes and a sneak peek into You. Unlimited., life, culture, and benefits at S+N.

Explore our website and learn more about our mission, our team, and the opportunities we offer.

Staying safe while you apply

  • Never pay to apply, interview or accept an offer. ROLIVA never asks you for payment to apply to a job.
  • Apply only through the official “Apply on the employer’s site” button, on the employer’s own site, and check that a recruiter’s email uses that employer’s own domain rather than a free email address.
  • Be cautious of an offer made with no real interview, or pressure to decide quickly or share financial details early.

Does something look wrong with this listing? Use “Report broken link” in the role details, or read ROLIVA’s full job-safety guidance ↗.

Preparing for this role with ROLIVA

  • Check the fit.

    Compare the requirements with the experience you have confirmed, including gaps.

  • Prepare honestly.

    Build interview stories and application drafts from your own evidence.

  • Keep track.

    Save the role and record your own application status and follow-ups.

Create a free workspace or log in.

At a glance

  • Employment typeFull time
  • Employer posted
  • Added to ROLIVA
  • Last checked

Skills in this posting

Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.

Python Machine learning Stakeholder management

Explore similar roles

Similar jobs

Smith+Nephew

Molding Technician

United States

Work style not statedFull time