principal data scientist

Elanco

Education : EQUIVALENTEXPERIENCE
<br>
<div><p><b>At Elanco (NYSE: ELAN) &ndash; it all starts with animals!</b></p><p><b>
As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. </b><b>At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose &ndash; all to Go Beyond for Animals, Customers, Society and Our People.</b></p><p><b>
At Elanco, we pride ourselves on fostering a diverse and inclusive work environment. We believe that diversity is the driving force behind innovation, creativity, and overall business success. Here, you&rsquo;ll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights.</b></p><p><b>
Making animals&rsquo; lives better makes life better &ndash; join our team today!</b></p><p><b>
Your Role: </b>Principal Data Scientist</p><ul><li><p>
This role supports the needs of the Global Analytics &amp; Insights team, part of the Corporate Strategy Team, with a focus on providing Advanced Analytics (to include statistical modeling, regression analyses, market basket, churn modelling methods) to work on program/promotion design and ROI post program. Additional project-based work around price elasticity, mixed market modelling, segmentation, game theory modelling and predictive analytics (e.g., customer lifetime value) will be in scope. The overarching goal of all work will be to find efficiencies in current promotional spend and optimize future business activities.</p></li><li><p>
This position is responsible for managing all aspects of project-based analyses including data preparation, analysis design, implementation using appropriate methods &amp; results presentation.</p></li></ul><p><b>
Responsibilities:</b></p><ul><li><p>
Lead discussions with customers to uncover needs, design and deliver analytics solutions. Enable measurement and improved effectiveness of rebates, media spend, pricing and sales force activities leveraging statistics and data science techniques.</p></li><li><p>
Collaborate with internal stakeholders, descriptive analytics team and cross-functional teams to solve business problems, propose efficiencies and innovative approaches.</p></li><li><p>
Constantly innovate in data science domain, constantly bringing new expertise to the team and adding to team knowledge</p></li></ul><ul><li><p>
Guide the junior members on technical and functional aspects, problem formulation, approach design, model building, model refinement and selection, reviewing and storyboarding the results.</p></li><li><p>
Consistent, constant alignment with all members of team in Greenfield, Indiana.</p></li></ul><p><b>
Minimum Qualification :</b></p><ul><li> Bachelor&rsquo;s Degree in quantitative or management field. (Master&rsquo;s preferred)</li><li> 6+ years of experience in Advanced Analytics, Commercial Effectiveness.</li><li> Expertise in statistical modelling techniques &ndash; A/B testing, regression, clustering, classification, decision trees, forecasting.</li><li> Expertise of probability models, market basket, churn modelling, segmentation and customer analytics.</li><li> Advanced skills in Python, R and advanced excel.</li><li> Proven analytical/problem solving skills with strong learning agility.</li></ul><ul><li><p>
Excellent written and verbal communication</p></li><li><p>
Demonstrated excellence in Power Point and storyboarding.</p></li></ul><p><b>
Preferred qualifications</b></p><ul><li><p>
Experience with Tableau, SQL.</p></li><li><p>
Experience with Azure ML &amp; Model Deployment</p></li><li><p>
Experience with GitHub</p></li><li><p>
Project management experience across multiple business functions</p></li><li><p>
Experience in pharma/retail domain</p></li></ul><p></p><p><b><br>
Additional Information:</b></p><ul><li><p>
Travel:0 %</p></li><li><p>
Location: IN, Bangalore - Hybrid Work Environment</p></li></ul><p>
Don&rsquo;t meet every single requirement? Studies have shown underrecognized groups are less likely to apply to jobs unless they meet every single qualification. At Elanco we are dedicated to building a diverse and inclusive work environment. If you think you might be a good fit for a role but don't necessarily meet every requirement, we encourage you to apply. You may be the right candidate for this role or other roles!</p><p></p><p>
Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status</p></div>

Principal Data Scientist

Cushman & Wakefield

<div><p><b>Job Title</b></p>
Principal Data Scientist | Bangalore<p><b>
Job Description Summary</b></p>
The Principal Data Scientist will lead predictive modeling, advanced analytics, and emerging AI initiatives such as GPT, generative AI, and NLP for the Organic Growth Team (OGT). This role involves architecting and deploying predictive and generative AI models, extracting actionable insights, and collaborating closely with stakeholders to drive strategic, data-driven outcomes. The ideal candidate has approximately 10 years of experience in data science and AI, with demonstrated expertise in predictive modeling, machine learning, NLP, generative AI frameworks, and strategic analytics leadership.
<br>
<br>
This role will collaborate closely with the Sales &amp; Pursuits team, internal stakeholders and occasionally global counterparts to build predictive models that drive strategic decision-making and optimize sales performance.
<br>
<br>
While the primary focus will be on the Asia Pacific region, this role may be required to collaborate with other regions including Europe, Middle East and Africa (EMEA) as well as the Americas, with the intent of sharing insights and best-practices.<p><b>
Job Description</b></p><p></p><p><b>
About The Role:</b></p><ul><li><b>
Data Science and AI Roadmap </b>&ndash; Work with leadership to design and evolve the roadmap for Data Science and AI, ensuring alignment with business objectives and emerging technology trends.</li><li><b>
Solution Development &ndash;</b> Lead the design, development, and deployment of predictive models, machine learning algorithms, and generative AI / NLP solutions to identify growth opportunities and inform strategic decision-making.</li><li><b>
Effort Estimation -</b> Provide accurate effort and resource estimations for proposed solutions and prepare quotes for internal stakeholders to assist in decision-making</li><li><b>
Pipeline and Project Management</b> &ndash; Lead a team to deliver data science and AI projects from ideation through implementation, ensuring timely delivery, clear project reporting and measurable business impact</li><li><b>
Stakeholder collaboration</b> &ndash; Work closely with other streams of the OGT (Sales and Pursuits, Data Analytics, Data Architecture and Engineering) to understand business needs and define effective analytical approaches leveraging Data Science and AI</li><li><b>
Team Leadership</b> &ndash; Provide technical mentorship and guidance to junior data scientists and analysts, fostering a culture of continuous learning and technical excellence</li><li><b>
Communication and Storytelling</b> &ndash; Translate complex analytical and AI-driven results into clear, actionable insights and effectively communicate findings to business leaders and stakeholders</li><li><b>
Continuous Improvement</b> &ndash; Drive the continuous improvement of analytical methodologies and data quality processes within the team. Regularly share best practices, lessons learned and foster a culture of continuous improvement</li><li><b>
Knowledge Documentation</b> &ndash; maintain comprehensive documentation of data products, analytics methodologies and insights.
</li></ul><p></p><p><b>About You:</b></p><ul><li>
Expertise in statistical modeling, machine learning techniques, predictive analytics, NLP, and generative AI frameworks (e.g., GPT models).</li><li>
Expert Level Proficiency in programming languages such as Python, R, and SQL.</li><li>
Experience with data visualization tools (e.g., Power BI)</li><li>
Strong understanding of data processing frameworks, ETL pipelines, data warehousing, and data lake concepts.</li><li>
Deep knowledge of deep learning frameworks and libraries (e.g., PyTorch, TensorFlow, HuggingFace).</li><li>
Demonstrated ability to lead complex analytical and AI projects from inception through deployment.</li><li>
Excellent communication and interpersonal skills, with a proven track record of articulating complex analytical and AI concepts clearly to non-technical stakeholders.</li><li>
Familiarity with both unstructured and structured data sources, especially cloud services and platforms (Azure, AWS) and exposure to big data technologies.</li><li>
Proven ability to innovate and develop novel analytical and AI-driven solutions, influencing strategic direction and promoting innovation within the organization.</li><li>
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.</li><li>
Approximately 10-15 years of professional experience in data science, predictive modeling, AI, NLP, or related fields.</li></ul><p></p><p><b>
Why join Cushman &amp; Wakefield?
</b></p><p></p><p>As one of the leading global real estate services firms transforming the way people work, shop and live working at Cushman &amp; Wakefield means you will benefit from;</p><ul><li>
Being part of a growing global company;</li><li>
Career development and a promote from within culture;</li><li>
An organisation committed to Diversity and Inclusion</li></ul><p></p><p>
We're committed to providing work-life balance for our people in an inclusive, rewarding environment.<br>
We achieve this by providing a flexible and agile work environment by focusing on technology and autonomy to help our people achieve their career ambitions. We focus on career progression and foster a promotion from within culture, leveraging global opportunities to ensure we retain our top talent. We encourage continuous learning and development opportunities to develop personal, professional and technical capabilities, and we reward with a comprehensive employee benefits program.</p><p></p><div><p><b>
We have a vision of the future, where people simply belong.</b></p><p></p><p><i><br>
That's why we support and celebrate inclusive causes, not just on days of recognition throughout the year, but every day. We embrace diversity across race, colour, religion, sex, national origin, sexual orientation, gender identity or persons with disabilities or protected veteran status.
</i></p></div><p><i>We ensure DEI is part of our DNA as a global community - it means we go way beyond than just talking about it - we live it. If you want to live it too, join us.</i></p><br>
<p></p>
INCO: &ldquo;Cushman &amp; Wakefield&rdquo;</div>

Principal Data Scientist | Bangalore

GSSTech Group

<div><p>We are seeking a highly skilled and experienced <b>Principal Data Scientist / IT Engineer (Applications)</b> to lead data-driven initiatives and drive innovation across our organization. The ideal candidate will have a strong background in data science, machine learning, and cloud-based analytics, with the ability to translate complex business problems into actionable insights.</p><p><b>
Requirements</b></p><h3 class="jobSectionHeader"><b>
Key Responsibilities:</b></h3><ul>
<li>Analyze large and complex datasets to identify trends, patterns, and business opportunities.
</li><li>Develop, train, and deploy machine learning models for classification, regression, clustering, and recommendation systems.
</li><li>Collaborate with cross-functional teams to define business challenges and design end-to-end data science solutions.
</li><li>Communicate findings and insights through effective visualizations, dashboards, and presentations.
</li><li>Implement MLOps best practices for model deployment, monitoring, and optimization.
</li><li>Stay current with emerging technologies and advancements in data science, AI, and analytics.
</li><li>Ensure scalability and performance of models in production environments.
</li></ul><p></p><h3 class="jobSectionHeader"><b>Required Skills &amp; Qualifications:</b></h3><ul>
<li>Proven experience in data science, machine learning, and advanced analytics.
</li><li>Strong programming skills in <b>Python, R, or Scala</b>.
</li><li>Hands-on experience with <b>cloud platforms</b> such as <b>AWS, Azure, or GCP</b>.
</li><li>Familiarity with <b>big data frameworks</b> (e.g., Spark, Hadoop).
</li><li>Solid understanding of <b>statistical analysis</b>, <b>predictive modeling</b>, and <b>data engineering workflows</b>.
</li><li>Experience with <b>MLOps</b>, CI/CD pipelines, and deployment frameworks.
</li><li>Excellent communication and problem-solving skills.
</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in <b>Computer Science, Data Science, Engineering, or a related field</b>.
</li></ul><p></p><h3 class="jobSectionHeader"><b>Preferred Qualifications:</b></h3><ul>
<li>Experience working in large-scale enterprise environments.
</li><li>Knowledge of data visualization tools such as <b>Power BI</b>, <b>Tableau</b>, or <b>Looker</b>.
</li><li>Experience leading or mentoring junior data scientists or engineers.</li></ul></div>

Principal Data Scientist - IT Applications

Sallie Mae

<div><div>When you join Sallie, you become a champion for all students.</div><div></div><div>
Sallie&rsquo;s Education Services team is a diverse group of growth-obsessed entrepreneurs, data analysts, engineers, and developers with a passion for imagining and building scalable businesses for students and families on their unique journey to-through and immediately after higher education. We&rsquo;re on a mission to revolutionize how students and their families plan, pay and complete this journey with confidence. Join a team of seekers, challengers and creative thinkers to change the way students plan for their future for the better.</div><div></div><div>
What You'll Contribute</div><div>
The Senior Principal Engineer will be responsible for shaping long-term engineering direction and serve as a key technical advisor to engineering and product leadership.</div><div>
What You'll Do</div><ul><li>
Define and evolve company-wide architectural standards.</li><li>
Lead the design of systems that span multiple products or platforms, ensuring technical cohesion and scalability.</li><li>
Collaborate with engineering, product, and executive leadership to align technical strategy with business objectives.</li><li>
Identify long-term technical risks and opportunities.</li><li>
Provide guidance across multiple technical domains and teams, driving decision-making and cross-functional coordination.</li><li>
Drive execution of complex, high-risk technical initiatives with ambiguous scope or competing priorities.</li></ul><div></div><div><i>
The above information is intended to describe the general nature and level of work performed by employees assigned to this job; it is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees in this role.</i></div><div></div><div>
What You Have</div><div>
Minimum education, skills and experience required.</div><ul><li>
Proven ability to drive architectural decisions across multiple teams or business units.</li><li>
Deep expertise in designing large-scale systems, services, or platforms.</li><li>
Excellent collaboration and communication skills across technical and non-technical audiences.</li><li>
Strong sense of ownership, initiative, and the ability to thrive in fast-paced, high-impact environments.</li></ul><div></div><div>
Preferred education, skills, and experience.</div><ul><li>
10+ years of hands-on software engineering experience, with a consistent record of technical leadership at scale.</li></ul><ul><li>
Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Advanced technical degree is a plus.</li></ul><div></div><div>
The Americans with Disabilities Act</div><div><i>
The Americans with Disabilities Act of 1990 (ADA) prohibits discrimination by employers, in compensation and employment opportunities, against qualified individuals with disabilities who, with or without reasonable accommodation, can perform the &ldquo;essential functions&rdquo; of a job. A function may be essential for any of several reasons, including: the job exists to perform that function, the employee holding the job was hired for his/her expertise in performing the function, or only a limited number of employees are available to perform that function.</i></div><div></div><div><br>
Feeling your best helps you do your best:</div><div>
Our benefits take care of the whole you&mdash;so you can build your work around your life (not the other way around!).</div><ul><li><div>
Competitive base salaries</div></li><li><div>
Bonus incentives</div></li><li><div>
Generous PTO, Floating Holidays and 12 Federal Holidays observed</div></li><li><div>
Support for financial-well-being and retirement 401k with employer match</div></li><li><div>
Comprehensive medical, dental, vision, hospital indemnity, critical illness, pet insurance and more</div></li><li><div>
Employer paid short-term/long-term disability and basic life insurance</div></li><li><div>
Flexible hybrid working arrangements.</div></li><li><div>
Paid parental leave and adoption reimbursement programs</div></li><li><div>
Free access to on-site staffed fitness centers (in Delaware) and gym subsidy (for locations outside Delaware)</div></li><li><div>
Confidential counseling support (EAP), Health Advocacy services and Wellness program with financial incentives</div></li><li><div>
Tuition Reimbursement and Family Scholarship Programs</div></li><li><div>
Career development and training opportunities</div></li></ul><div></div><div>
Not the right fit? Let us know you're interested in a future opportunity by clicking <i>Introduce Yourself</i> in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!</div><div></div><div>
Sallie Mae is proud to be an equal opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, national origin, age, genetic information, gender identity, disability, Veteran status or any other characteristic protected by federal, state or local law. Click <div>here</div> to view the U.S. Pay Transparency Policy, <div>here</div> for federal job applicant notices, and <div>here</div> to view the California Employee Privacy Notice.</div><div><br>
Reasonable accommodations are available for applicants with disabilities in all phases of the application and employment process. To request an accommodation please call (855) 756-2007 and choose option 9. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</div></div>

EMIRATES GLOBAL ALUMINIUM (EGA)

<p>KEY ACCOUNTABILITIES:</p><ul><li>Effectively communicate the analytics approach and how it will meet and address objectives to business partners</li><li>Advocate and educate on the value of data driven decision making focusing on the “how and why” of solving problems</li><li>Lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts and developers</li><li>Expert in Developing data science capability and can advocate the importance of continuous learning to the data science team. knows how to develop data science capability across the wider organisation and in industry. Sets as a role model of best practice through demonstration of his own self-directed learning. You set the data science curriculum across the organisation.</li><li>Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products</li><li>Ensure consistent and high quality data science standards and tools are deployed and developed within the organization</li><li>Engineer features by using business acumen to find new ways to combine disparate internal and external data sources</li><li>Share passion for Data Science with broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards</li><li>Collaborate, coach, and learn with a growing team of experienced Data Scientists</li><li>provides leadership and direction across a programme of multidisciplinary data science projects, managing resources to ensure delivery.</li><li>Recognised as a strategic authority with technical expertise in cutting-edge techniques, defining vision across the organisation</li><li>Communicates with senior stakeholders and convince them of the strategic value of applying data science</li><li>Stay connected with external sources of ideas through conferences and community engagements</li></ul><p>AUTHORITY/ DECISION MAKING:</p><ul><li>Thinking within broadly defined policies, standards and objectives. The determination of “what needs to be done” in applying polices is largely left up to the incumbent who must establish the plan, determine the priorities and prescribe the processes needed to achieve the objectives</li><li>Subject to general direction and broadly defined functional policy objectives. Actions which will impact other functional or operating areas usually require approval before they may be implemented.</li></ul>

Enlyft

<div><p>About Enlyft</p><p></p><p><br>
Data and AI are at the core of the Enlyft platform. We are looking for creative, customer and detail-obsessed machine learning engineers who can contribute to our strong engineering culture. Our big data engine indexes billions of structured / unstructured documents and leverages data science to accurately infer the footprint of thousands of technologies and products across millions of businesses worldwide. The complex and evolving relationships between products and companies form a technological graph that is core to our predictive modeling solutions. Our machine learning based models work by combining data from our customer's CRM with our proprietary technological graph and firmographic data, and reliably predict an account's propensity to buy.</p><p></p><p><br>
About the Role</p><p></p><p><br>
As part of our team, you'll be tasked with handling substantial datasets to develop machine learning models catering to our enterprise clients. Your role will also involve contributing to the development of foundational models for our product. To excel in this position, you should possess a strong analytical aptitude, with a deep understanding of data analysis, mathematics, and statistics. Critical thinking and problem-solving abilities are imperative for the interpretation of data. Furthermore, we value a genuine enthusiasm for machine learning and a commitment to research.</p><p></p><p><br>
Responsibilities:</p><br>
<p></p><ul>
<li>
Lead the design, development, and deployment of advanced machine learning and generative AI models that create measurable business impact.</li>
<li>Architect scalable data and ML systems, ensuring reliability, performance, and efficiency through strong MLOps practices.</li>
<li>Partner with product, engineering, and business teams to identify opportunities where AI and data science can drive meaningful outcomes.</li>
<li>Evaluate and improve model performance through continuous experimentation and monitoring.</li>
<li>Stay current with AI advancements - especially in LLMs, transformers, and diffusion models - and apply emerging research to production use cases.</li>
<li>Establish best practices for model development, experimentation, and documentation across the data science team.</li>
<li>Mentor and guide data scientists, fostering technical excellence, innovation, and collaboration.</li>
<li>Communicate insights and recommendations clearly to both technical and non-technical audiences, influencing data-driven decision-making.</li></ul><br>
<p></p>
<p>
Requirements:</p><br>
<p></p><ul>
<li>
10+ years of experience in data science and machine learning, leading end-to-end AI/ML initiatives, with a degree in Computer Science, Statistics, or a related field.</li>
<li>Strong Python programmer with deep expertise in statistical modeling, predictive analytics, and modern ML frameworks (scikit-learn, PyTorch, TensorFlow, pandas).</li>
<li>Hands-on experience with GenAI and LLM architectures (GPT, BERT, T5, diffusion models) and their real-world applications.</li>
<li>Proficient with big data and cloud platforms (Spark, Databricks, AWS, Azure, or GCP) and experienced in building MLOps pipelines for scalable model deployment.</li>
<li>Skilled in databases (MySQL, SQL Server, PostgreSQL) and data warehouses (Snowflake, BigQuery, or Redshift)</li>
<li>Excellent analytical skills with the ability to solve complex business problems and derive actionable insights from large, multi-dimensional datasets.</li>
<li>Proven leadership and mentoring experience, guiding data scientists and collaborating cross-functionally with product, engineering, and business teams.</li></ul><br>
<p></p>
<p>
Why join Enlyft</p><br>
<p></p><ul>
<li>
A top-notch culture that is customer obsessed, transparent and constantly strives for excellence</li>
<li>A top-notch team with colleagues that will help you learn and grow in a collaborative environment</li>
<li>Competitive pay and great benefits</li></ul><br>
<p></p>
<p>
Enlyft is an equal-opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.</p>
<p>
If you are a creative problem solver who is passionate about building products that meet the needs of customers, then we would love to hear from you. Apply today to join our team.</p></div>

<div><div><div><div><ul><li><b>REQ-10104321</b></li>
<li><b>07/11/2025</b></li>
<li><b>Data Science</b></li>
<li><b>Ayaza&#287;a, Turkije</b></li>
<li><div><b>ING Bank</b></div></li></ul><p></p><div><br>
</div></div></div></div><p></p><div><div><div><div><div><p><b>About ING Hubs</b></p><p>
Following ING&rsquo;s strategic ambition to deliver a superior eperience to its customers worldwide, the hubs network contributes to fostering efficiency and digitalization across ING. Providing concentrated epertise along with scalable and sustainable solutions, the hubs focus on straight-through processing, delivering automated services like software development, data management and retail operations.</p><p></p><p>
                                ,               ,                 ,   &#8462;     &#8462;                                        ,                                         &#8462;     11,000                                                      &#8462;                                             ,                              ,                                 -                           .</p><p></p><p>
ING Hubs Turkiye core capabilities,                                                , have us looking for data eperts, developers and other professionals to get onboard in our Istanbul office located in Technopark, Vadistanbul.</p><p></p><p>
                                     &#776;          </p><p>
ING Hubs Turkiye is looking for talents to join an international network of professionals. Building on an eisting framework and shared mission, our up-and-coming team will bring its unique personality and skills set to provide borderless services with bank-wide capabilities.</p><p></p><p>
We value strong work ethics, knowledge sharing and fleibility in our way of working &ndash; it is both our promise to you and what we look for in new colleagues. Let&rsquo;s meet!</p><p></p><p><b>
ING Analytics</b></p><p>
ING Analytics is a new unit responsible for realizing this vision for ING, differentiating ING as a leader in data-driven organization, within the banking sector and beyond. The team consists of a number of Global Analytics Centre of Ecellences around the bank&rsquo;s key capabilities (such as Pricing, Risk Management, Financial Crime, Customer Intelligence and People Analytics.) as well as strong coordination areas around data management, technology, customer journey, U, as well as eternal partnerships.</p><p></p><p><b>
About you</b></p><ul><li>
Bachelor&rsquo;s with analytical background, preferably in a quantitative discipline Mathematics, Engineering, Economics, MIS, Statistics etc. (Master&rsquo;s degree or PhD will be a plus),</li>
4+ years of work e<li>perience in data science field.</li>
Broad eperience with end-to-end machine learning project implementation. Involvement in all modelling steps from data e<li>traction to modelling and deployment.</li><li>
Theoretical knowledge of statistical modelling and machine learning, and a demonstrated ability to apply these to solve business problems and develop innovative models and/or data-driven products</li><li>
Strong knowledge of Python, SQL or relevant statistical tools. (Spark, GCP, Git , DevOps will be a plus)</li>
E<li>cellent team member with an ability to clearly communicate at all levels of an organization in a collaborative and non-hierarchical environment</li>
E<li>cellent analytical skills and attention to details</li><li>
Desire to use modern technologies as a disruptive influence,</li><li>
Open-minded for new technologies.</li><li>
Strong verbal and written communication skills in English and Turkish</li></ul><p></p><p><b>
How to Succeed</b></p><ul><li>
Manage the entire analytical process &ndash; from outlining the type of solution through implementation, interpretation of results and transferring capabilities to business units</li><li>
Use data assets to gain insights into current business processes and propose enhancements for core decision making processes</li><li>
Analyze portfolio trends and detect the root causes of problems by performing advanced data analysis and modelling techniques</li><li>
Develop new strategies by analyzing and evaluating large data volumes and utilizing various statistical and analytical techniques and tools</li><li>
Effective Communication: Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors</li>
Fle<li>ibility &amp; Adaptability: Knowledge of successful approaches, tools, and techniques for dealing with changes and adapting to a changing environment; ability to adapt as needed</li><li>
Problem Solving: Knowledge of approaches, tools, techniques for recognizing, anticipating, and resolving organizational, operational or process problems; ability to apply this knowledge appropriately to diverse situations</li><li>
Analytical Thinking: Knowledge of techniques and tools that promote effective analysis and the ability to determine the root cause of diverse problems and create alternative solutions that resolve the problems in the best interest of the business</li></ul><p></p><p><b>
What We Offer at ING Hubs Turkiye</b></p><p></p><p>
At ING Hubs Turkiye, we believe that your work should be fulfilling in every way. We pay attention to even the smallest details to ensure that your eperience is rewarding. Here&rsquo;s what you can epect when you join our organization:</p><p></p><p><b>
Be Yourself, Be an ING'er</b></p><p></p><ul><li><b>
Dynamic Environment:</b>Work in an informal, vibrant atmosphere with innovative colleagues supporting your endeavors.</li><li><b>
Innovation Culture:</b>Share your innovative ideas while eploring PACE methodology with us.</li><li><b>
Global Eposure:</b>Participate in global projects and epand your career opportunities.</li><li><b>
Communication &amp; Celebrations:</b>Enjoy various communication activities and celebrations that promote a friendly work environment.</li><li><b>
Health Care:</b>Your health matters; we offer a comprehensive health insurance package for you and your loved ones, including spouse and children.</li><li><b>
Private Pension Plan:</b>Secure your future dreams with our private pension plan.</li></ul><p></p><div>
If you want to do your thing and eplore the life while working don&rsquo;t miss this opportunity!</div></div></div><p></p><div><ul><div><br>
</div><div></div><div>
</div></ul></div></div><div><div><div><div><div>Your place of work</div>
<div><div><b>Eplore the area</b></div><b>
</b></div></div></div><div><p>Questions? Just ask<br>
ING Recruitment team</p><p></p><div><br>
</div></div></div></div></div></div><div><div><div><div>Bij ING willen we het beste uit mensen halen. Daarom hebben we een inclusieve cultuur waarin iedereen de kans krijgt om te groeien en een verschil te maken voor onze klanten en de samenleving. Diversiteit, gelijkheid en inclusie staan bij ons altijd voorop. We behan iedereen eerlijk, ongeacht leeftijd, geslacht, genderidentiteit, culturele achtergrond, ervaring, geloof, ras, etniciteit, beperking, gezinssituatie, seksuele geaardheid, sociale afkomst of wat dan ook. Heb je hulp nodig of kunnen we iets voor je doen tijdens je sollicitatie of gesprek? Neem dan contact op met de recruiter die bij de vacature vermeld staat. We werken graag samen met jou om het proces eerlijk en toegankelijk te maken. Lees hier meer over hoe wij staan voor diversiteit, inclusie en erbij horen.</div></div></div></div></div>

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